#RFID Based File Tracking System

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Evolution of File Tracking | AIDC India Insights

The need for efficient and reliable file tracking has always been crucial for businesses and organizations dealing with large volumes of physical documents. However, as technology has advanced, so has the way we track and manage files. Traditionally, files were manually tracked and organized, but with the rise of new technologies, businesses now have access to smarter, more efficient solutions for file tracking. From paper-based logs to modern, automated systems, the evolution of file tracking has been significant in improving productivity, security, and overall workflow.

The Early Days: Paper-Based File Tracking

Before the digital era, file management was a manual process that involved sorting, categorizing, and physically tracking files. This system relied heavily on paper records, where employees would note down the location, status, and movement of each document in a logbook. While it worked in small-scale environments, this method proved inefficient and prone to errors in larger organizations. Misplaced files, incomplete logs, and the inability to track the real-time movement of documents often led to delays, miscommunications, and even the loss of important information.

The need for a more reliable and organized way to manage files became apparent as businesses grew and the volume of documents increased. This led to the development of systems that could provide a more structured approach to file tracking, and with it, the evolution toward more automated solutions.

The Rise of Barcode Technology in File Tracking

The introduction of barcode technology marked a significant turning point in the file tracking process. Barcodes offered a way to streamline the manual process, providing a faster and more efficient method for identifying and tracking files. By affixing a barcode label to each document or file, organizations could easily scan and track files as they moved through different locations, departments, or storage areas.

Barcode scanning systems enabled faster identification and retrieval of files, reducing human error and improving accuracy. However, while barcode systems helped speed up the process, they still required line-of-sight scanning and didn’t offer real-time tracking capabilities. This limited the system’s functionality in dynamic environments, such as warehouses or large corporate offices, where files frequently moved and were hard to track manually.

The Advent of RFID: A New Era in File Tracking

The next significant milestone in the evolution of file tracking was the adoption of RFID (Radio Frequency Identification) technology. RFID revolutionized file tracking by enabling real-time tracking of files without the need for direct line-of-sight scanning. RFID tags, unlike barcodes, do not require manual scanning. Instead, the tags transmit data to RFID readers placed throughout a facility, automatically updating the location and status of a file whenever it passes a reader.

RFID technology brought several advantages over barcode systems. It allowed for the tracking of multiple files simultaneously, providing real-time updates on the location of each document. This capability significantly enhanced the speed and accuracy of file management, reducing the time spent searching for files and minimizing the chances of losing important documents.

Additionally, RFID systems integrated seamlessly with inventory management systems, enabling businesses to track not just files but also physical assets, equipment, and people. This increased visibility across various resources within an organization helped optimize workflows and enhanced overall efficiency.

Cloud-Based Solutions and Digital Integration

As cloud computing became more prevalent, file tracking systems evolved once again. The integration of cloud-based solutions with RFID and barcode technologies allowed for better centralization and accessibility of file data. Files could now be tracked remotely through web interfaces or mobile apps, enabling users to access file location information from anywhere with an internet connection.

This shift to digital and cloud-based tracking systems further improved file management processes by providing centralized storage for all file-related data. The ability to integrate file tracking systems with other business software, such as enterprise resource planning (ERP) and document management systems (DMS), offered a more cohesive approach to managing not just physical files but also digital records. This shift toward digital solutions also laid the foundation for incorporating other technologies, such as Artificial Intelligence (AI) and machine learning, to enhance predictive capabilities and automate workflows.

The Role of Artificial Intelligence and Automation in File Tracking

The integration of Artificial Intelligence (AI) and automation into file tracking systems marks the latest phase in the evolution of this technology. With AI-powered systems, businesses can gain deeper insights into file usage patterns, enabling them to make data-driven decisions about document storage and retrieval. For example, AI can help predict the likelihood of a file being needed in the near future, allowing businesses to optimize file storage based on anticipated demand.

Automation also plays a crucial role in reducing manual intervention and streamlining file tracking processes. Automated systems can flag when files are overdue for return, notify users about missing documents, or trigger alerts for any unauthorized access or movement of sensitive files. These systems can help businesses ensure compliance with industry regulations and maintain a high level of security.

As AI technology continues to advance, it is expected that file tracking systems will become even more intelligent, with enhanced capabilities for managing complex data and predicting future file needs.

Current Trends in File Tracking Technology

In recent years, several key trends have emerged in the file tracking industry, driven by the rapid advancements in technology. One of the most prominent trends is the Internet of Things (IoT), where interconnected devices work together to track files and assets in real time. IoT-enabled file tracking systems allow for even greater integration with other business operations, providing a more holistic view of file movements and usage patterns.

Mobile access is another key trend, allowing users to track and manage files using their smartphones or tablets. This trend is particularly beneficial for employees who need to access files while on the go, such as in healthcare, legal, and field service industries. Mobile-friendly tracking systems are also improving user experience, offering intuitive interfaces for managing files and assets.

Additionally, enhanced security features such as biometric authentication and multi-factor authentication are becoming more common in file tracking systems. These technologies add an extra layer of protection for sensitive documents, ensuring that only authorized personnel have access to critical information.

How AIDC India Can Help Transform File Tracking

At AIDC India, we specialise in providing cutting-edge file tracking solutions that incorporate RFID, barcode, AI, and cloud-based technologies. With our expertise in Automatic Identification and Data Capture (AIDC), we offer customised systems that are tailored to meet the specific needs of businesses across various industries.

Whether you're looking to enhance the efficiency of your document management process, improve file security, or gain real-time visibility into your file locations, AIDC India has the right solution for you. Our team works closely with clients to understand their unique requirements and implement scalable, future-proof systems that help optimize file tracking and improve overall business operations.

Conclusion: The Future of File Tracking

The evolution of file tracking has come a long way from paper-based systems to advanced, automated solutions. As technology continues to advance, the future of file tracking holds even more exciting possibilities, from real-time tracking powered by IoT to AI-driven insights that optimize workflows. For businesses looking to stay ahead of the curve, adopting smart file tracking solutions is no longer a luxury, but a necessity.

By leveraging the latest technologies and partnering with experts like AIDC India, organizations can ensure their file management processes are more efficient, secure, and future-ready.

Contact Us

Interested in upgrading your file tracking system? Contact Us today to learn more about how AIDC India can help you implement an advanced, automated file tracking solution that suits your needs.

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Automatic Identification And Data Capture AIDC Capabilities

Understanding Automatic Identification and Data Capture‘s capabilities, uses, and prospects is essential to remain competitive as firms use data-driven decision-making. This article discusses AIDC’s complexity, essentials, broad variety of usage, and revolutionary impact on modern business operations.

How Automatic Identification and Data Capture (AIDC) Works

Though they are synthesized differently according on the specifics of the processes, each of these technologies uses AIDC in a different manner.

However, usually the gadget uses a transducer to record the data, which includes pictures, sounds, or movies of the target. Converting sound, vision, or video into a digital file is the primary goal of all transducers, regardless of the technology’s application whether it be a bar code, smart card, RFID, or anything else.

After then, the collected data is either automatically moved to a cloud-based system or stored in a database. The software and how it integrates with the collecting equipment, whatever it may be, decide this phase. After that, the data may be evaluated and/or classified.

Despite its broad use, AIDC is primarily utilized for one of three purposes: 1) asset tracking, 2) identification and validation, and 3) connections with other systems.

Components of AIDC

Data Encoding: Alphanumeric characters must be converted into machine-readable code in this first phase. Usually, the encoded data is included into tags, labels, or other carriers that are fastened to the objects that need to be recognized.

Machine reading or scanning: Specialized equipment reads encoded data and generates an electrical signal. These readers might be barcode, RFID, or biometric.

Data decoding: It converts electrical signals into digital data so computers can read and store alphanumeric characters.

Applications of AIDC

Numerous sectors have used Automatic Identification and Data Capture technology due of its versatility:

Retail and Inventory Management: Simplifies point-of-sale procedures and stock monitoring.

Healthcare: Improves hospital asset monitoring, medicine administration, and patient identification.

Supply chain and logistics: Enhances product tracking and streamlines warehouse operations.

Manufacturing: Makes quality control and manufacturing line automation easier.

Access control and security: Offers safe authentication for sensitive data or limited regions.

Automatic Identification and Data Capture greatly lowers human error, boosts productivity, and offers real-time insight into a number of business functions by automating the data gathering process. AIDC systems are become more complex as technology advances, providing increased speed, accuracy, and integration potential with other corporate systems.

Advantages of (AIDC) Automatic Identification and Data Capture

One must first examine the technologies that Automatic Identification and Data Capture enhances before evaluating the advantages of using it.

Barcode readers: AIDC has been producing barcode labels and barcode reader technology for many years. Numerous sectors, including retail, healthcare, education, warehouse environments, manufacturing, entertainment, and many more, may utilize barcodes for monitoring, identification, and counting.

Radio Frequency Identification (RFID): It tags use a scanner to provide detailed information, which is then picked up by a specialized reader via AIDC. RFID tags are usually attached to objects that need real-time reporting and data collecting, as well as sophisticated tracking.

Biometrics: Biometrics compare biological characteristics, such as fingerprints or irises, using a specific AIDC scanning method to identify people. This cutting-edge data capturing technology, which was previously limited to science fiction movies, is now used in workplaces and even on individual mobile devices.

OCR (Optical Character Recognition): It uses data capture and automatic identification to scan text that has been typed or written. This technology is used in the process of digitalization.

Magnetic strips: AIDC is used by magnetic strips to enable the “swiping” of critical data for almost instantaneous verification. The magnetic strips that are used on credit/debit cards, building admission cards, library cards, public transit passes, and other items are part of the AIDC technology that almost everyone carries about at all times.

Smart cards: In essence, smart cards are more sophisticated versions of magnetic strips. They are often used on cards intended just for personal use and in similar ways. The AIDC technology is also used in passports.

Voice recognition: Like biometrics, voice recognition compares a voice to a database of other voices by utilizing a device to record data that is then automatically processed using AIDC technology.

Electronic Article Surveillance (EAS): The technology, articles may be identified as they enter a guarded area like malls or libraries. The technology alerts illegal people from stealing products from stores, libraries, museums, and other essential institutions. This technology allows theft. Electronic Article Surveillance uses RFID and other EAS technologies.

Real-Time Locating Systems (RTLS): It are completely automated systems that use wireless radio frequency to continually monitor and report the whereabouts of monitored resources. It constantly communicates data to a central CPU using low-power radio transmissions. The finding system uses a grid of locating devices spaced 50 to 1000 feet apart to locate RFID tags. RTLS employs battery-operated RFID tags and mobile network-based finding to locate tags.

Sensors: It convert physical quantities into instrument-readable signals. Aerospace, medical, manufacturing, robotics, robots, and automobiles employ sensors. Sensors are crucial to automation and control. New sensors are wireless and use an improved approach to capture more data than wired sensors.

The Challenges of Using Automatic Identification and Data Capture

There is always a risk of data loss, fraud, and/or theft since many of the technologies discussed above include the evaluation and storage of information, some of which is sensitive information.

Let’s examine how Automatic Identification and Data Capture are used specifically with RFID. Although RFID tags may store a lot of data, this does not guarantee that the information is always safe. RFIDs are vulnerable to hacking since they rely on radio waves, which means that anybody with the means to get the valuable data might access this sensitive information.

Additionally, like many modern technologies, Automatic Identification and Data Capture is becoming increasingly sophisticated; nonetheless, a seamless system has yet to be developed, meaning that it does not always function as intended. Fortunately, a wide variety of goods use AIDC technology.

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A Comprehensive Guide to China Office Labels

The importance of efficient organization cannot be overstated in a dynamic business environment. As an indispensable tool for streamlining workflows, enhancing productivity, and ensuring clarity in communication, office labels play an indispensable role in this realm. Office label solutions offered by China cater to a wide range of needs and preferences with their diverse array of options. Office Labels factor offer businesses practical and effective organizational solutions ranging from traditional adhesive labels to innovative digital tagging systems.

The Importance of Office Labels:

The use of office labels plays an important role in maintaining order and efficiency throughout all types of workplaces. These markers aid in locating and identifying essential resources quickly by serving as visual cues when labeling file cabinets, shelves, or individual items. Furthermore, they facilitate seamless collaboration among team members and minimize errors or misunderstandings by facilitating a standardized approach to organization.

A look at traditional labeling solutions:

The simplicity and versatility of traditional adhesive labels make them an ideal choice for many office settings. Businesses can customize labels based on their specific requirements in China, as manufacturers offer a wide range of options with regard to size, shape, and material. Businesses can find suitable solutions for a variety of applications with the market offering a variety of options, ranging from basic paper labels to more durable options such as vinyl or polyester.

Innovation through digitalization:

Digital labeling solutions have emerged as powerful alternatives to traditional labeling methods in an era characterized by technological advancements. The manufacturing sector in China has developed innovative labeling systems, such as QR codes, NFC tags, and RFID (Radio Frequency Identification) tags. Besides providing basic identification, digital labels also make it possible to track inventory, manage assets, and provide interactive content.

Regulatory landscape navigation:

It is crucial for businesses to navigate the regulatory landscape effectively when procuring office labels in China. Complying with industry standards and regulations ensures the quality and safety of labels, mitigating risks associated with substandard products. For safeguarding business interests and fostering mutually beneficial partnerships with Chinese suppliers, it is also crucial to understand import/export regulations and intellectual property rights protection mechanisms.

Branding and customization opportunities:

With China's robust manufacturing capabilities, businesses can enhance their branding and marketing efforts by utilizing customization options. Office labels serve as powerful branding tools that reinforce corporate identity and foster brand recognition, whether they incorporate logos, color schemes, or specific messaging. Businesses can tailor their labels to align seamlessly with their overall brand aesthetics and messaging strategies by collaborating with Chinese suppliers who are proficient at customization.

Increasing supply chain efficiency:

For efficient supply chain management, accurate labeling practices play a major role in tracking and tracking products. From barcode labels for inventory management to shipping labels for seamless logistics operations, China manufacturers offer comprehensive labeling solutions that optimize supply chain efficiency. With these solutions, businesses can streamline supply chain processes, minimize errors, and enhance overall operational efficiency.

Sustainability and environmental responsibility:

Manufacturing practices have increasingly prioritized sustainability and environmental responsibility in recent years. As a result of this trend, Chinese suppliers are offering environmentally friendly labeling solutions that minimize environmental impact without compromising durability or performance. Labeling materials that are biodegradable, eco-friendly adhesives, and recyclable are becoming increasingly available, allowing businesses to align their labeling practices with their sustainability goals.

Insights from Data Analytics:

Businesses are able to collect vast amounts of data throughout the product lifecycle with digital labeling technologies such as RFID and NFC. A company can gain valuable insights into consumer behavior, supply chain dynamics, and operational efficiency by using data analytics tools and platforms. Businesses can gain a competitive edge in the market with this data-driven approach because it empowers them to make informed decisions, optimize processes, and optimize processes.

Multilingual labeling:

Increasing globalization has made multilingual labeling indispensable for reaching diverse audiences and markets. Multilingual labeling solutions offered by Chinese manufacturers cater to the linguistic diversity of global clients, allowing seamless cross-border communication and comprehension. The use of multilingual labeling ensures that all stakeholders can understand product labels, packaging inserts, instructional guides, and other materials. Read more: yesnlabels.com

Reliability and Quality:

While cost considerations are important, businesses should prioritize quality and reliability when sourcing office labels from China. In order to ensure labels meet performance standards and regulatory requirements, partnering with reputable suppliers who adhere to strict quality control measures is crucial. In addition to improving operational efficiency, quality labeling solutions minimize the risk of product defects, rework, and costly disruptions to workflows.

In conclusion, navigating the world of China office labels offers businesses a wealth of opportunities to enhance organization, efficiency, and branding initiatives. The market caters to diverse needs and preferences, enabling businesses to stay ahead in a competitive environment by optimizing their operations and leveraging digital solutions. Innovative, customizable, and sustainable office labels can be a strategic asset that drives growth, productivity, and success for businesses.

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Share Insights: Navigating the Healthcare Security Systems Market Landscape

Market Overview –

The Healthcare Security Systems Market encompasses the segment of the healthcare industry dedicated to safeguarding medical facilities, patient data, and staff from physical and digital threats. With the increasing digitization of healthcare records and the growing complexity of healthcare infrastructure, the demand for robust security solutions has surged.

One driving factor behind the growth of the Healthcare Security Systems Market is the rising frequency and sophistication of cyber threats targeting healthcare organizations. Hospitals, clinics, and other healthcare facilities are prime targets for cyberattacks due to the vast amount of sensitive patient information they store, including medical records, insurance details, and financial data. Security systems such as firewalls, intrusion detection systems, encryption protocols, and access control measures are essential for protecting against data breaches and ensuring compliance with healthcare privacy regulations like HIPAA.

In addition to digital threats, healthcare facilities also face physical security challenges such as unauthorized access, theft, vandalism, and violence. Security systems such as surveillance cameras, access control systems, biometric identification systems, and panic alarms help deter potential threats and ensure the safety of patients, staff, and visitors.

The Healthcare Security Systems Market is evolving, with a significant emphasis on healthcare access control. As the need for patient data security and facility safety grows, healthcare providers are investing in robust access control systems. These systems regulate entry to sensitive areas, safeguarding patient privacy and enhancing overall security measures in healthcare facilities.

Furthermore, regulatory requirements such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe mandate healthcare organizations to implement comprehensive security measures and maintain patient confidentiality.

The healthcare security systems market is estimated to expand by USD 13.2 billion at a CAGR of 12.1% from 2023 to 2032.

As the healthcare landscape continues to evolve, investment in advanced security technologies, employee training, and risk management strategies will be essential for healthcare organizations to adapt to emerging threats and safeguard patient trust.

Segmentation –

The global healthcare security systems market has been segmented on the basis of type, surveillance system, application, and end-user. Based on type, the global healthcare security systems market has been segmented into CCTV system, access control systems, infant security system, intrusion detection instruments, security alarm, metal and explosive detectors, RFID tags, and others. The access control systems segment has been sub-segmented into biometric systems, smart cards, chipper locks, and X-Ray screening system. The security alarm segment has been sub-segmented into burglar alarms, fire alarm, carbon monoxide alarm, and others. Based on surveillance system, the global healthcare security systems market has been segmented into video surveillance, surveillance cameras, and others. Based on application, the global healthcare security systems market has been segmented into surgical equipment tracking, medical devices tracking, document and data file tracking, patient tracking, monitoring, and others. Based on end-user, the global healthcare security systems market has been segmented into hospital, clinics, diagnostic centers, pharmacy, laboratories, and others.

Regional Analysis –

Regional analysis of the healthcare security systems market highlights variations in regulatory compliance, cybersecurity threats, and healthcare infrastructure. North America leads the market with stringent regulatory standards, increasing data breaches, and high adoption of healthcare IT solutions. Europe follows, driven by efforts to strengthen data protection laws and combat cyber threats in healthcare. The Asia-Pacific region is witnessing rapid market growth due to increasing digitalization of healthcare services, rising cybercrime incidents, and government initiatives to enhance healthcare data security.

 Key Companies –

The healthcare security systems key players include Tyco Security Products, Cisco Systems, Inc., Seico Security, Avigilon Corporation, STANLEY Healthcare, Nedap, ADT LLC dba ADT Security Services, Allied Telesis, Inc., Honeywell International, Inc., Schneider Electric SE, and Bosch Security Systems.

Neurostimulation Devices

Crohn’s Disease

Healthcare Biometrics

Osteoporosis Drugs

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Cloud-Based Logistics Management Systems: Scalability and Flexibility for Growth

Traditional on-premise logistics software may fail to meet rising needs for flexibility, scalability, and real-time visibility as supply chains become increasingly complicated. Cloud-based logistics management solutions provide a solution, allowing businesses to alter their operations as business requirements change flexibly. With an adaptable and cost-effective software platform, a business can expand its operations by transferring logistical activities to the cloud. Let's learn how an efficient and systematic cloud-based logistics management system can assist in reducing overhead operational costs and improve efficiency.

Understanding Cloud-Based Logistics Management

Cloud logistics software allows for immediate scaling, allowing businesses to swiftly add users, locations, carriers, and providers as their operations scale up. There is no need to spend much money on new servers or software licensing. Instead, cloud systems charge for the resources used each month. This pay-as-you-go concept ensures that costs are predictable and aligned with business development.

The cloud makes logistical operations more adaptable and responsive. Besides, real-time data and analytics allow managers to get a single picture of their supply chain from any internet-connected device. The cloud-based management system allows multiple business divisions and locations to work together on shared processes and workflows in real time.

Companies that use a cloud-based solutionhave a logistical architecture that promotes agility rather than hinders it as markets shift. Overall, cloud-based logistics management offers an elastic, accessible software environment that syncs with the changing demands of modern supply chain operations.

Architecture of Cloud-Based Logistics Management

Cloud Computing is one of the best solutions to manage the increasing business operational costs and improve the speed of the transfers between various departments in the logistic network. Here is the description of the architecture of cloud-based logistics management that makes the operations easier, flexible, and scalable:

●       Data Layer

Data Layer is the foundational layer where the data items are tracked. The data source includes pallets, boxes, warehouses, barcodes or labels, RFID tags and parts, etc. However, each data source will have a unique identifier, like a barcode or tag.

●       Identification Layer

This layer implements the user interface by encoding the application use of a barcode and the actual implementation of a barcode pattern on a specific device. It comprises scanning hardware and an interface to capture the data and read the barcodes and tags for logistics tracking.

●       Information Layer

The information layer is the third layer, where the data received from the barcode scanners is used to collect data or information, like item number, source and destination ID, user ID, quantity, etc. It is essential to remember that the higher the scanner's performance, the better the result.

●       Logistics as a Service

The cloud service provides global visibility in logistics, and the centralized cloud provides services to all other layers to access the data anytime and from anywhere. Here are the different types of services it provides:

1.      Service to different scanners for data item identification

2.      Capture the information identification layer

3.      Application of business rules

4.      User Authentications

5.      Knowledge Base

6.      Transportation / Distribution / Warehouse

●       Interface Layer

The user or application interface is the second topmost layer to access the data, information, reports, and perform operations, and the data is represented in Excel sheets or text files.

●       Application Layer

The application layer is the topmost layer, which describes the application of the system according to the industry, like retail, logistics, etc.

How can Cloud-Based Logistics Management help logistics Businesses?

Here is the list of advantages that a customized cloud-based logistics management system will bring to improve the efficiency and productivity of your logistics business:

●       Scalability

The flexibility of cloud-based logistics software to rapidly scale up or down, dependent on the demands of the business, is one of the most significant advantages offered by this type of software. Businesses are not subject to the usual user licensing or server capacity restrictions when using cloud technologies. If a new carrier or warehouse partner is brought on board, the users and locations of that new partner may be provided promptly and without any delays in the cloud. It enables logistics operations to adapt to peaks and troughs in demand that occur throughout the year.

●       Flexibility

In its typical deployment model, cloud-based logistics solutions offer greater flexibility than on-premises software. Every employee and manager has access to the same live system, regardless of the device they use to connect to the internet. It makes it possible to have mobile and remote workforces. Additionally, new business units, alliances, or procedures may be onboarded to shared cloud systems in a very short amount of time. Any modifications made to existing workflows or setups have an instantaneous impact on the entirety of the company.

●       Cost Savings

The subscription model for cloud computing converts substantial initial capital expenditures into more manageable running expenses. There is no requirement for acquiring pricey equipment or systems or completing difficult installations on-premise. Through scalable cloud pricing, businesses only have to pay for the monthly resources they use. It ensures that expenditures remain in line with the ever-evolving requirements of the organization. Cloud providers handle infrastructure upkeep, updates, and disaster recovery at a far lower overall cost.

●       Real-Time Visibility

The availability of actionable data and analytics in real-time is a need for their use. Cloud-based logistics systems provide managers with a consolidated picture of operations that can be accessed from any device. Any point along the global supply chain is a potential hotspot for detecting and promptly resolving emerging problems. Key performance indicators ensure all parties involved are at the same level of information. Increased responsiveness may be achieved through real-time communication across several locations and business divisions.

●       Data Analytics and Insights

Cloud-based logistics management systems collect vast amounts of data, which can be turned into valuable insights with the help of analytics tools. Businesses can use this data to optimize routes, improve inventory management, and accurately forecast demand. This data-driven approach can lead to better decision-making, growth, and cost savings.

The Bottom Line,

Cloud-based logistics management systems outperform traditional on-premise software for expanding firms. As global supply chains expand and the need for flexibility grows, the cloud model guarantees that logistics operations have the necessary tools to adapt. Cloud solutionsremove the constraints of large upfront hardware investments and lengthy software upgrade cycles.

Instead, businesses benefit from an elastic environment that adjusts resources and expenses as needed.

Modern cloud solutions' scalability, flexibility, and mobile access enable firms to focus on core logistical execution rather than IT restrictions. This strategy adjustment promotes adaptability as markets evolve in the next few years. Are you interested in adapting to the latest trends and upgrading your operation with cloud technology? Mindfire experts will help your business make a smooth and seamless transition from legacy systems to cloud technology by building an apt strategy per your specifications. Connect with our experts today and discuss your

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Situation Awareness System Market Research 2027: Region Wise Analysis Of Top Players In Market By Its Types And Application

Market Analysis and Insights: Global Situation Awareness System Market

Situation Awareness System Market is expected to reach USD 40.95 billion by 2027 witnessing market growth at a rate of 8.18%% in the forecast period 2020 to 2027. Data Bridge Market Research report on sales performance management market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.

Situation awareness system is defined as the program or method devised to forecast or predict the hazard or threat could be occurred owing to the serval natural calamities. This attributes to the circumstances can be caused by any individuals’ uncertain or planned action. The measures and method brought into practice to predict these circumstances or lower down the chances of destruction can be caused by the above mentioned reasons, on the whole make situation awareness system and to assist this functionality components are mandate which, when consolidated, form a business market of situation awareness system.

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Increasing requirement of cyber security and natural disaster management will accelerate the market growth of situation awareness systems in the anticipated time frame of 2020 to 2027. This advancement is backed by the government initiatives by providing smart infrastructure management with enforced security channels of multiple folds. On the contrary the germinating demand in the military and armed forces to predict the criticality of forthcoming havoc will boost the industrial growth and marketing strategy globally. The increment in situation awareness system adoption in marine situation awareness devices at the harbor or in the oceans is termed to be the greatest opportunity for the growth of situation awareness system market.

Few of the factors will curb the market growth in the expected time phase, which are as follows.

Lack of communication and poor backup strategy will affect the market, which will be followed by array of errors in the rate of prediction. Complexity of the situation awareness system design and dearth in the efficient engineers will also hamper the market growth.

Lack of high-levels security and concerns related to security of these software solutions are acting as market restraints for situation awareness system market in the above mentioned forecasted period.

This situation awareness system market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on sales performance management market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

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Global Situation Awareness System Market Scope and Market Size

Situation awareness system market is segmented on the basis of component, product, application, and end user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

Situation awareness system market on the basis of component has been segmented as global positioning systems (GPS), mems/gyroscopes, network video recorders, others.

Based on product, situation awareness system market has been segmented into fire and flood alarm systems, human machine interfaces (HMI), radio frequency identification (RFID), access control, radars, chemical biological radiological nuclear (CBRN) systems, command & control systems, sonar, physical security information management (PSIM).

On the basis of application situation awareness system market has been segmented into robots, driving/connected cars, business intelligence, disaster response, security & surveillance, environmental impact tracking, logistics, natural and cultural resources, smart infrastructure management, and crisis management.

Situation awareness system market has also been segmented on the basis of end user into aviation, maritime security, cybersecurity, automotive, healthcare, construction, industrial, homeland security.

Situation Awareness System Market Country Level Analysis

Situation awareness system market is analysed and market size, volume information is provided by country, component, product, application and end user as referenced above.

The countries covered in the market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America is anticipated to maintain the biggest percentage in the situational awareness systems business through the forecasted session, and the demand in Asia-Pacific (APAC) is assumed to increase at the tremendous CAGR while the prediction interval of 2020 to 2027. This germination of the market in Asia-Pacific (APAC) can be credited to developing nations such as Japan and China.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

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Competitive Landscape and Situation Awareness System Market Share Analysis

Situation awareness system market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to situation awareness system market.

The major players covered in the situation awareness system market report are General Electric, Lockheed Martin Corp., Honeywell International, Inc., Denso Corp., BAE Systems, Rockwell Collins, Microsoft Corp., Barco, Advanced Micro Devices, Inc, Harris Corp., Xilinx, Inc., and Qualcomm, Inc. among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Customization Available: Global Situation Awareness System Market

Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customised to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analysed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Factbook) or can assist you in creating presentations from the data sets available in the report.

Buy this Premium Research Report: https://www.databridgemarketresearch.com/checkout/buy/enterprise/global-situation-awareness-system-market

About Data Bridge Market Research:

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

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Corporatesales@databridgemarketresearch.com

[itsamitysoftware]

How RFID Management Software Is Used In Supply Chain Management?

Radio Frequency Identification, or RFID, is not unheard of. We are all familiar with it, its application, and the basic outline of the operation. Like any other good technology, RFID also underwent serious shifts and innovation over the past few decades.

The result now is that RFID is considered to be one of the most robust and agile solutions for the industries where tracking of an item is done. And it is safe to say that RFID is making barcode look old school (despite RFID being an older technology).

RFID Supply Chain Solutions – The Need

Supply chain operations, be it any industry, play an important role in determining business success. If you are planning strategies for the better supply chain in your industry, your meeting will include the following agendas:

To determine the inventory in real-time

To ensure all items are logged and accounted for

To know for sure where an item is within the warehouse

To store every data accurately

To improve the inventory, ensuring no item is wasted

These are simply an overview of the vast ideas that are presented during such a meeting.

When you are using paper for all these activities

As soon as an item arrives, you note down several details in a register and log the entry. You manually register the shelve number, aisle number, section, etc. in your diary so that you can find the item when needed. When an item goes out of the store, you clear the entries in the file and mark it to the destination it is going and hand over the sheet to them.

When you are using Microsoft Excel for these activities

When an item arrives, you enter all the details in the MS Excel sheet and save it. Then you assign a place in the warehouse for the item and log the entries. Whenever the product is shifted, you update the entry in your sheet so that the item is not lost inside the warehouse. As soon as the item leaves, you share the excel sheet to the next person who will be taking care of the tracking of the item.

Live free with RFID supply chain solutions

When you are using an RFID based supply chain solution, your process is something like this:

The item is fitted with an electronic tag, called RFID tag, which will contain all the data that you need

As soon as the item arrives, the RFID reader scans the tag and logs the entry to the database

RFID readers can read a tag to a distance of several meters without a direct line of sight. Hence, your product will be always tracked within the warehouse

Every entry and exit is logged electronically eliminating heaps of files

The readers keep an eye on the item until it reaches the final station so that any issue, in future, can be easily traced back to the origin

RFID management software for supply chain management

When you are browsing for the best software solutions based on RFID technology to manage your supply chain management, you can always rely on the leaders in this field.

The RFID solution from Amity Software will give you the following benefits:

Their system is transparent, i.e. that all the data should be accurately measured and recorded.

Their system allows minimum dependency on human intervention. Humans make mistakes, machines don’t.

Their system is highly accurate, i.e. the recording and tracking range of the RFID system is good enough to cover the entire floor (up to several meters)

Their system stores all the information related to an item and makes sure that the inventory stored is properly accounted for.

With the data from this system, you can even manage the shelf life of the items on display and replenish the stock on time.

Simply consult their team and learn how their proprietary software solution can help you manage your supply chain better and increase the profitability like hundreds of other businesses before you.

[blockchainwhispers112-blog]

What Is Blockchain Growth?

Blockchain is a discussed spread repository for peer-to-peer transaction. The core of the engineering is bitcoin - an electronically secured budget for handling deal and cost process which was presented in 2009. That transaction management process is decentralized and typically runs without any intermediary. These transactions are endorsed by a couple of system nodes and documented in a public ledger known as blockchain. The Web of Things (IoT) is really a cyber-physical network of interconnected processing units, digital things, and individual with distinctive program IDs. The objective of the IoT space is to serve an individual point of integration and transfer data online without the need for human or pc interference. There's an intricate connection between blockchain and IoT. IoT providing company entities will find solutions using blockchain technology. The combined program can build and report a cryptographically guaranteed dataset. Such repository and files are secured against modification and robbery, offered that it is very secured and malware protected. The duo can construct transparency and accountability while moderating company development mechanisms. Blockchain it self can help reduce workplace mismanagement, expense expense and business unpredictability through their interconnected servers Blockchain Whispers   . The digital ledger can produce a cost-effective organization and administration program where such a thing can be efficiently changed, correctly monitored and tracked. This process eliminates the necessity for central administration process, which primarily removes several bureaucratic red tapes and streamlines company processes. The industrial ownership with this creativity is providing immersive software in IoT domain and within business enterprises. Blockchain basically empowers the interconnected IoT devices to share in guaranteed data exchanges. Companies and company entities may use blockchain to handle and process knowledge from side products, such as RFID-based resources (Radio-frequency identification), machine readable barcode and QR signal, infra-red bluster (IR Bluster) or system information. If incorporated to business startup, the IoT edge units will have the ability to transfer the blockchain-based files to update agreements or validate transmission network. For instance, if an IoT permitted and RFID tagged advantage with painful and sensitive geographical site and confidential information movements to a different undesignated level, the info will be automatically located and current on a blockchain ledger and essential actions can be taken if the machine is assigned. As the merchandise improvements to different places, the system enables the stakeholders to obtain status of the package's whereabouts. To enjoy the fresh fruit of the blockchain enabled IoT framework, organization agencies have to keep four fundamental rules: 1. Price Decrease The side devices have to reduce operation processing time and eliminate the IoT gateways or net intermediaries within the system. Since knowledge sharing, and information are communicated within the system, eliminating additional process, program, electronics, station, node or interaction reductions the overhead costs. 2. Accelerating Data Change Blockchain allowed IoT can get rid of the IoT gate way or any selection device expected to ascertain system among cloud, administrator, detectors and devices. Expelling such'middle person'may permit peer-to-peer contracts and knowledge sharing. In this technique, the digital ledger removes the extra time needed for synchronizing unit and processing and harvesting information. However, eliminating the IoT gateway offers conduits for destructive malware and security breach. The blockchain allowed IoT network may undertake it by installing features such as for example, malware recognition, and encryption engines.

[andrewleousa]

Why Automated Data Capture Solutions are a Smart Way Forward for Businesses?

Whether it’s CRM software used to track sales, ERP software for streamlining production, email software for tracking communication, advertising software used for marketing (Meta ads, LinkedIn ads, Google ads, Bing ads, etc.), or other third-party apps for streamlining business operations—organizations have customer data dispersed across a myriad of platforms.

According to Statista, the total amount of data created, copied, and consumed globally had already reached 64.2 zettabytes in 2020. The same is expected to reach more than 180 zettabytes by 2025. Organizations tapping into data-driven decision-making to pull ahead of the competition have to collect these vast amounts of data produced and extract intelligence using data analysis.

As evident, the amount of data being produced in the world is growing exponentially, but the majority of it is unstructured which makes it unfit for business consumption. Keeping a record of all the differences and working on extracting information can be extremely time-consuming.

Whether it’s the image, audio, video, text, or big data, when well collected, organized, and processed can be used to drive business success and growth through leveraging modern technologies such as Robotic Process Automation, Artificial Intelligence, and Machine Learning. Growth-focused companies understand that data collection lays the foundation for the data processing and analysis stage; thus, they automate their data aggregation process to accelerate their time to value.

The Automation Advantage

Remember cash registers where each product had to be entered manually by employees? Take another example of supply chains where passing an item from one level to the next of the chain meant filling in a ridiculous amount of paperwork. These manual tasks were made easy with the help of barcode scanners—one of the first examples of data capture systems that accelerated item identification and processing.

However, the world has now moved beyond data collection devices such as RFID readers or barcode scanners into fully automated data collection systems and smart data capture solutions. These automatic data capture platforms take all of a company’s data sources such as CRMs, ERPs, advertising software, emails, accounting software, etc., and extract valuable information without the need for a programmer to do the coding-decoding.

Smart data transformation solutions combine human expertise with AI, ML, and RPA. Hence, whether you have public or proprietary data in a raw unorganized format, automatic solutions can help you transform them into tagged and schema-compliant structured XML for data products, analytics, and AI/ML applications.

Automated Data Capture Methods

Automated data capture systems come in different methods and forms that change based on the unique needs of a business. Additionally, the level of automation can be changed to meet certain character recognition requirements. Listed below are some of the most common automated data capture methods:

Optical Character Recognition (OCR)

As the first revolutionary technology in automated data capture, Optical Character Recognition is used to convert typed documents, PDF files, images, or scanned documents into editable, searchable, digital documents.

Since the 1990s, OCR has helped companies across multiple sectors including healthcare, finance, logistics, and governments, to digitize their files accurately. It is extremely helpful for sectors dealing with sensitive information such as patient information and medical claims.

Optical Mark Recognition (OMR)

This is another excellent way to manage all the documents. Optical Mark Recognition not only recognizes characters but also scans documents for marks such as filled-in bubbles and checkmarks. OMR is commonly used to expedite and facilitate capturing of human-marked details including consumer feedback or surveys, multiple-choice tests, symptoms checklists, poll results, etc.

Intelligent Character Recognition (ICR)

Intelligent Character Recognition technology leverages Machine Learning to teach machines to comprehend handwritten documents and focuses on solving complex challenges. Though the accuracy offered is not that high, ICR can save significant time processing handwritten documents.

Intelligent Document Recognition (IDR)

Intelligent Document Recognition is a highly sensitive and accurate data capture method from any part of a document, including the tags and meta description. It is more like a complex type of Optical Character Recognition, which is used to extract data from unstructured documents such as medical forms, delivery notes, and invoices.

Additionally, IDR is capable of interpreting patterns, tables, and content in both paper and electronic formats, recognizing the start and the end of a document, as well as sorting documents according to their category. This method is commonly used in legal, logistics, mailrooms, and accounting companies.

Voice Recognition

If you have Siri, Alexa, Cortana, or Google Assistant, you are already using some type of voice recognition algorithm. Voice Recognition technology leverages Natural Language Processing (NLP) embedded in Deep Learning algorithms to recognize and comprehend different voice patterns. It has countless applications when combined with smart chatbot technologies as they can provide excellent customer service, support, and security.

Magnetic Ink Character Recognition (MICR)

Magnetic Ink Character Recognition Technology is used to identify specially formatted characters printed in magnetic ink. This is commonly used in banks to speed up the processing of checks and other documents. One of the good things about this technology is that people can read the data as well.

Benefits of Automated Data Capture

Faster Turnaround Times

Processing speed is one of the unavoidable benefits of automated data capture. Imagine how a nightclub bouncer would have a difficult time trying to verify the age of a customer by looking at them or the time it would take to manually process, proofread and mail out medical claims. With ID scanning software, this process would take a few seconds.

Minimized Errors

Manual data entry includes high chances of human error. However, you can easily avoid these mistakes with automated data processing as the smart data collection software can swiftly scan through documents. They can compare these documents to templates and other files to assure data is complete and things such as names, gender, and date of birth are accurate on sensitive documents.

Boosted Efficiency

With automated data collection systems at your disposal, you can simplify complex tasks that in turn help you to increase efficiency. Besides, replacing physical files with digital files serves to eliminate workplace clutter and makes all files accessible to authorized persons from any device and at all times.

Cost Savings

Numerous organizations have turned to automation because of its cost-saving benefits. You can eliminate costs related to ongoing training, extra labor, equipment maintenance, document storage, and system updates with automation.

Greater Employee Satisfaction

Outdated manual processes like prolonged data entry are both mentally and physically taxing, which makes it difficult for employees to focus on such arduous tasks for a long duration. Automating such processes facilitates employees to better focus on more engaging tasks or core competencies.  

Endnote

Among the benefits of automated data capture solutions include faster turnaround times, cost-optimization, reduced human errors, enhanced customer experience, and greater employee satisfaction.

The Statista reports proved the same as most respondents agreed that automation reduced the risk of equipment failure, performance issues, data breaches, and regulatory compliance violations, as of 2021. At the same time, 50 percent of respondents agreed that automation processes give more space to the IT staff to focus on strategic initiatives. Hence, you already know what to do next.

READ HERE INSPIRED BLOG: https://www.datasciencesociety.net/why-automated-data-capture-solutions-are-a-smart-way-forward-for-businesses/

[aidc-india]

AIDC India Official Website – Explore Latest Auto-ID Innovations

The world is moving fast, and automatic identification and data capture (AIDC) technologies are playing a key role in how industries manage efficiency, security, and traceability. Whether it’s RFID in logistics, barcodes in retail, QR codes in healthcare, or real-time file tracking in government departments—AIDC is at the core of digital transformation.

To stay informed and connected with these cutting-edge solutions, the AIDC India official website is your go-to platform. It’s more than just an information hub—it's a space where professionals, innovators, and stakeholders come together to shape the future of Auto-ID technology in India.

The official AIDC India website is your gateway to industry insights and innovation

Designed to serve as the digital home for the AIDC community in India, the website features the latest:

News and updates on AIDC applications

Details of upcoming events, workshops, and summits

Whitepapers, blogs, and technical resources

Membership information and benefits

Case studies and real-world deployment stories

It’s a space built for both industry veterans and curious newcomers looking to explore the impact of AIDC technologies.

Stay updated with the latest trends in RFID, barcoding, and data capture

The auto-ID landscape is constantly evolving. On the AIDC India website, users can dive into technology trends and innovations, including:

RFID and NFC advancements

QR code-based systems in public services

Real-time locating systems (RTLS)

EAS (Electronic Article Surveillance) in retail

File tracking and inventory management solutions

You’ll also find updates on how these technologies are being adopted across sectors—from manufacturing and logistics to healthcare, finance, and government.

Discover real-world AIDC applications and success stories

AIDC India curates case studies and deployment stories that show how businesses and public departments have implemented these technologies. Visitors to the website can:

Read about RFID-based warehouse automation

Learn how government offices are using file-tracking systems

Explore how barcoding is streamlining pharma packaging and logistics

Understand security enhancements with EAS in retail

These real examples help decision-makers understand ROI, implementation processes, and industry best practices.

Join the AIDC community and access exclusive member content

The website provides a membership portal where individuals, startups, enterprises, and institutions can join AIDC India. Members receive access to:

Member-only webinars and training sessions

Featured listings on the website

Industry reports and policy updates

Networking events and partner connects

AIDC India encourages collaboration and innovation by bringing together tech providers, solution integrators, and end users under one digital roof.

Explore upcoming events and AIDC summits directly through the site

The website is a central hub for events and workshops hosted or supported by AIDC India. It regularly updates visitors on:

National and regional AIDC summits

Sector-specific roundtables (retail, healthcare, logistics, etc.)

Virtual training sessions and product demonstrations

Thought leadership panels featuring industry pioneers

Each listing includes registration links, speaker details, and post-event reports—making it easy to stay connected and involved.

Find trusted AIDC vendors and technology partners through the online directory

The official website includes a curated vendor and partner directory, showcasing:

RFID equipment providers

Barcode and label manufacturers

Software and integration companies

EAS and RTLS solution providers

This helps users quickly find verified service providers for their needs, whether they’re setting up a new system or upgrading an old one.

The site also serves as a learning hub for students and researchers

With a commitment to developing future AIDC professionals, the website features content geared toward academia and research. Students can access:

Internships and academic project opportunities

Knowledge-sharing sessions with experts

Access to whitepapers and industry research

Event discounts for learning institutions

This ensures the next generation of tech leaders stays informed and involved.

Visit the official AIDC India website today and discover how identification technologies are shaping tomorrow’s businesses. From education to execution—AIDC India is your trusted guide in the world of Auto-ID innovation.

[seaterri]

Tagit mfg.

#TAGIT MFG. PRO#

#TAGIT MFG. SOFTWARE#

#TAGIT MFG. BLUETOOTH#

More intuitive activation wizard makes it easier for users to select desired activation type (single vs.

#TAGIT MFG. PRO#

TAGGIT Pro supports more than 40 barcode symbologies allowing you to easily comply with. The stability of TAGGIT Pro’s updated platforms means the application is capable of handling today’s requirements and will support the future growth of your business.

#TAGIT MFG. SOFTWARE#

Enhanced label preview functionality in Windows Explorer and via the File Open dialog box TAGGIT Pro® is a sophisticated, intuitive barcode and label design software package.

New Gold Edition offering RFID Functionality.

Includes customizable plant database use one of the 4,500 preloaded records (including Annuals, Perennials, Trees and Broadleaf Shrubs) or add your own variety or information.

Easy to produce label samples and graphic elements.

Reduces errors at time of print, using customizable forms.

Quick and easy connection to, and creating queries from, a database.

Simplifies adding barcodes, images, text (including TrueType Fonts), and variables during label creation.

Fresh, modern interface with intuitive menu options.

A University of Cape Town’s Bachelor of Business Science Honours, Wits Masters. She has held senior positions, including Head of Operations, Head of Programme Management, and Divisional Manager of Information Technology. TAGGIT Pro Labeling Design Software and Database includes many features and benefits: Joy has over 15 years’ experience in the IT and financial services industry. It offers simple installation for thermal printers plus any Windows® printer driver, and is backward compatible. You can attach the Tag-It Tracker virtually anywhereon your keys, pets, phones, backpacks, purses, etc.

#TAGIT MFG. BLUETOOTH#

The Tag-It Tracker is a discrete Bluetooth tracking device that keeps you in touch with all your important items. Tagit is an experienced creator of high quality packaging with bases in the UK, China and India. We guarantee responsible manufacturing, and ethical business practices. TAGGIT Pro supports more than 40 barcode symbologies allowing you to easily comply with industry standards, over 25 languages and the ability to print in virtually any language. App Activated Tracking System with Alarm. Tagit Ltd High quality packaging solutions from an ethical business Providing high quality packaging solutions since 1996 Tagit is committed to our customers, and our colleagues. TAGGIT Pro® is a sophisticated, intuitive barcode and label design software package. TAGGIT Pro Labeling Design Software and DatabaseĪdd a powerful, easy-to-use barcode label design application to your company’s business process. Streamlined data entry allows you to design labels and print them in a much shorter period of time. TAGGIT® PRO 17 allows Horticulture users to decrease time spent on label design and increase productivity with an easy-to-use interface, helpful wizards, and simplified database connections.

[bioknox2022]

The Benefits of Automating Attendance Management System for all Businesses

Attendance Management System is commonly called attendance-tracking software. Since most organizations are now working with teams located across different time zones, centralized employee time and attendance and time-sheet management software is a necessity at this period. With the help of attendance software, companies can track employee’s attendance, and better keep an eye on expected time versus unanticipated time off. Attendance management system software can keep track of employee’s attendance, assigned work, leaves, overtime, and more, all on one integrated platform.

The best Attendance Management Software integrate with your payroll and HR software, whether it is uploading a CSV file, or it is automating time-sheet data transfer to the payroll and HR software via a digital interface. It allow you to track employees hours and manage payroll - something that is critical to every company. This systems let businesses build electronic schedules, manage PTO, and keep employees hours, hours worked, breaks, vacation, overtime, and paid hours all in one place.

Employee management software tracks employee’s routines, recording the times they arrive, tracking breaks, and noting when they leave the building. Clock It is workforce management solution helps businesses keep track of employees hours, attendance, and worker productivity. The attendance tracking software tracks employee’s sickness, overtime, absences, holidays, and paid leave, as well as looks for patterns in absences. There is no longer any excuse to not report the exact time, on time, every time, because employees have the ability to access attendance tracking software from any location, at any time.

BiOKnox is cloud-based software which provides easy features to track employee hours, projects, and attendance. It comes with an unique attendance capturing System that does real-time integration with several attendance device types - Biometric, Smart Card,   RFID, and Facial recognition devices. Time and attendance solutions for large enterprises having offices at multi-locations can be managed centrally using BiOKnox cloud-based Attendance Management Solution. BiOKnox Attendance Management Software eliminates the manual process and does end-to-end automation of tracking, managing and scheduling employee hours.

[ewayinnovations]

A Guide To Inventory Management Solution From eWAY

Can you imagine how businesses and stores handled inventory a few years ago? Several jobs, such as inventory management, were done manually before computers were available to help with some of the typical manual work.

It could take a week or two, depending on the size of the company or store, and a coordinated effort from accounting, warehousing, and other departments. The inventory Management Solutions has made it much faster.

It's also correct. It can handle and track receipt and shipping in real time, allowing you to estimate sales more accurately and minimise overstocking and understocking. Many business owners, particularly small business owners, are still sceptical about investing in an Inventory Management Softwares and solutions.

So, here's our attempt to encourage you to choose usage of eWAY's Inventory Management System: -

What is the definition of inventory control and its benefits?

Inventory management is an important aspect of your total supply chain since it allows you to track the purchase, storage, and sale of your products at any time.

You'll be able to check your stock levels at any given point at a precise, granular level now that you know where each product is located.

When you can automatically track how much stock you have and where it is, inventory management goes from a difficult, manual task to a critical component of your business's growth plan.

Furthermore, utilizing an inventory management mobile app helps you avoid overselling, which can harm your business's reputation. Finally, using an inventory management system with retail billing software can assist you in making better stock-level decisions.

What is the significance of inventory management?

Inventory is one of a company's most valuable assets. Inventory management is the point at which all of the supply chain's aspects come together. Customers may be dissatisfied if there is insufficient inventory when and where it is needed.

However, a huge inventory comes with its own set of risks, such as the cost of storing and insuring it, as well as the chance of spoiling, theft, and damage. Companies with complicated supply chains and manufacturing processes must strike the correct balance between having too much and too little inventory on hand.

What does eWAY's inventory management system provide?

Identification via barcodes The barcode ensures accountability by allowing managers to scan barcodes to identify and track product distribution and records. The inbuilt retail billing software also encourages accurate stock labelling.

Returns inventory management Return products can be filed and added to inventory without difficulty. Many organisations that do not have a retail billing software waste more time than necessary on routine tasks like managing returned merchandise.

Inventory control in multiple locations Large corporations may have many warehouses located throughout the country. Inventory management for many warehouses can be simplified. It combines all stock data from all locations and merges it into a single report flow for decision-making using a central digital platform.

Optimization of the warehouse Some features keep track of how products are classified and where they are stored. This feature enables easy product tracking and quick modifications, which has an impact on the general access point for staff use.

Inventory Transfer with Mobile platform Transfer of products to different locations and warehouse can be done using a mobile application which is directly in sync with the Backoffice ERP system.

Inventory Counting using Mobile devices Check your stock at regular times using mobile scanners via Barcode or RFID to ensure the physical stock levels and system stock levels are in sync.

Product Pricing using Mobile devices Frequent price changes and accurate pricing of your products can be easily achieved by using one of the critical modules of eWAY Inventory Solution which is Price Checker.

Mobile based transaction handling for Purchase Receipt Order and Sales Delivery Order All documents like Purchase Receipts and Sales Deliveries can be automated and integrated with your ERP using eWAY Inventory Management Solution.

Conclusion

With these advantages, it's easy to understand why putting in place a good inventory management system with an inbuilt retail billing software is advantageous to your company's operations. Even if your firm is tiny, automated inventory management can help you grow while staying in control.

You'll be able to keep both staff and customers pleased while also remaining satisfied with the way your business functions, without the problems that might arise from a lack of inventory management.

eWAY is here to assist you with inventory management for your business. Simply contact us immediately, and we'll get to work on integrating a comprehensive, accurate inventory management solution for your business.

[smartsecuritysolutions-blog]

Smart Security Solutions-A Plethora of Technologies and Specific Applications to Streamline Different Operations

The current technology-centric environment has brought us to a stage where mere door contacts and alarm systems aren’t enough to ensure the security of a structure and the people inside it. Everything, from simple homes to bustling offices, need smart security solutions that can protect the property as well as information being stored and transmitted via the systems inside a structure.

The meaning of the word security has thus, assumed various additional dimensions today and one needs to consider a whole gamut of options before coming up with a robust protection system for their property.

Let’s explore the different security related tech that is doing rounds in the market today and understand the various applications where it might come in handy for you.

Smart Security Solutions-The Tech Available and the Specific Applications of Each:

1. AV solutions:

Surveillance is one of the most basic forms of security that you can provide to your home or business enterprise. The av solutions have been in use for many decades now and finds useful application in the following areas:-

·Recording the activities inside and outside the premises

·Justice and law enforcement

·Facial recognition and access control

·Communication through video conferencing

·Acoustical analysis

2. IOT solutions:

IOT or Internet of Things is a relatively new kid on the block – a system that allows your tech devices to interact with each other and with you to provide a more robust and interconnected experience. The huge amounts of data generated and recorded in IOT devices such as smart home assistants, wearable devices and more needs to be protected with utmost urgency. Here you may consider working with an IOT provider for creating a firewall and robust security system to ensure that you don’t end up a victim of hacking, data leaks, identity thefts and the like.

3. RFID Solutions:

RFID solutions are the most versatile smart security solution of them all. Not only has it revolutionized access control and identification, it has also helped organizations in asset tracking and tagging, helping them remain at the top of their game at all times. The tech finds usage in various applications including:-

·Automating yard management, tracking assets, identifying shipping bottlenecks and providing increased visibility to supply chain.

·Managing vehicle tracking in real time to prevent security snags and unauthorized usage.

·RFID enabled smart labeling for managing retail inventory, access control, preventing thefts and tracking merchandise.

·Control and monitoring of files and documents through RFID for protection of sensitive information

·Real time tracking of assets like vehicle fleets, equipment, supplies, weaponry, medical materials and more

·Securing evidence collection and ensuring chain-of-custody with real time tracking to prevent cases of tampering and manipulation.

·Patient wrist-banding to ensure better safety and delivery of care services in hospitals

·Elimination of doctor/nurse negligence by providing medical history, medicine schedule, meal times and medication prescriptions through RFID tags

·Creating keycard based access control systems across industries.

·Streamlining personal digital security with information on passports, licenses and more being stored and transmitted via RFID tags.

The above analysis clearly indicates the sheer scope of smart security solutions in various applications. Get in touch with a smart security solutions provider today and get one installed at your home or workplace as the need be!

[indutryanalysis]

Radio Frequency Identification Market Trends, Research Report- Global Forecast 2027

Global Radio Frequency Identification (RFID) Market Overview

Radio frequency identification technology is used to identify the items loaded with tags with the help of electrostatic or electromagnetic fields. In the packaging industry, RFID has become a necessary part of the act. This is an accurate, fast, and reliable method in-store and inventory management. In the tags, the information related to the product is embedded, which has details about the quantity, price, or badge number. This enhances the identification process and improves productivity. As markets are gaining global identifications, the demands for RFID is going up for decreasing the hazards related to delivery.

Get Free Sample Copy at: https://www.marketresearchfuture.com/sample_request/3189

This technology is used mainly in defense, healthcare, retail, aerospace, retails, and others. The healthcare, transportation, and retail industries are the major employers of this market, as they require accurate data collection and processing. Also, the increasing security issues, data requirements, and useful store handling procedures boost the market to new highs. Companies use RFID for employee identification by embedding the information into their ID cards and hence reducing the security risks.

This report covers all the aspects of the industry and global market trends for better future projections. It has a detailed overview of the market segments and major markets with the most and least opportunities concerning the future. During the survey period, the global radio frequency identification market is expected to reach the 16 % annual growth mark on observing the market’s present and historical trends.

Market Segmentation

Based on product types, the global Radio Frequency Identification (RFID) Market into types of tags, readers, software, and others.

The global RFID market is segmented into 200mm, 300mm, 450 mm, and others based on wafer size.

Based on components, the global RFID market is classified as active RFID, passive RFID, and others.

Based on types of frequency, the global RFID market is divided as low frequency, high frequency, ultra-high frequency, and others.

Based on end-users, the global RFID market finds its applications in healthcare, retail, transportation aerospace, Banking, Financial Services, and Insurance (BFSI) and other industries.

Regional Classification

The global radio frequency identification (RFID) market has become a new method of identification with accurate results and fast processing. North America, Asia Pacific, Europe, Latin America, and the rest of the world are the primary RFID markets. North American region is leading the market due to demands for effective tracking systems, security measures, and other factors. On the other hand, the Asia Pacific region will file the fastest growth rates during the survey period because of expanding industrial cover and adoption of the latest data management systems.

Industry News

The major companies working on global levels and looking for expansions have generated the demands of effective identification methods, which has pushed the global RFID market to new success rates. Healthcare, retail, and transportation sectors have created the maximum opportunities for this market and will keep up the demands. Rapidly developing economies have produced the primary demands in recent times and have the maximum potential with respect to the future aspects

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[trylkstopocket]

Cloud Computing With Kubernetes Cluster Elastic Scaling

https://doi.org/10.1145/3341325.

Brandon Thurgood Dept. of Computing Letterkenny Institute of Technology Letterkenny, Co. Donegal, Ireland Brandon.Thurgood@outlook.com

Ruth G. Lennon Dept. of Computing Letterkenny Institute of Technology Letterkenny, Co. Donegal, Ireland

Ruth.Lennon@lyit.ie

Abstract —Cloud computing and artificial intelligence (AI) technologies are becoming increasingly prevalent in the industry, necessitating the requirement for advanced platforms to support their workloads through parallel and distributed architectures. Kubernetes provides an ideal platform for hosting various workloads, including dynamic workloads based on AI applications that support ubiquitous computing devices leveraging parallel and distributed architectures. The rationale is that Kubernetes can be used to support backend services running on parallel and distributed architectures, hosting ubiquitous cloud computing workloads. These applications support smart homes and concerts, providing an environment that automatically scales based on demand. While Kubernetes does offer support for auto scaling of Pods to support these workloads, automated scaling of the cluster itself is not currently offered. In this paper we introduce a Free and Open Source Software (FOSS) solution for autoscaling Kubernetes (K8s) worker nodes within a cluster to support dynamic workloads. We go on to discuss scalability issues and security concerns both on the platform and within the hosted AI applications.

Keywords—Autoscaling, Kubernetes, Artificial Intelligence, parallel and distributed architectures, Infrastructure as a Service, Container as a Service

I. INTRODUCTION Devices that are compatible with ubiquitous computing are typically small in order to allow them to remain unobtrusive, which generally limits their processing power and ability to run Artificial Intelligence (AI) based applications. AI applications processing the information from devices on the sensor network allow the devices to adapt to the environment efficiently as more data becomes available. Transferring the data to and from the sensor network can be achieved by leveraging technologies such as Radio Frequency Identification (RFID) technology, Wireless Sensor Networks (WSN) or Near Field Communication (NFC) devices [1]. Another method that can be used to overcome this limitation is to leverage a single device within the sensor network capable of internet connectivity, such as a smartphone or tablet device. A single device with internet connectivity within the sensor network could allow ubiquitous devices to communicate with cloud-based systems by leveraging the device as a proxy. The cloud-based system can then perform more complex computations of the data and communicate results with the devices and surrounding architecture, while also improving user experience.

Ubiquitous computing devices such as Wi-Fi, RFID or WSN enabled armbands sold in the form of concert tickets can

communicate directly with containerized AI applications hosted on the Kubernetes cloud platforms, providing valuable information that can be used to both track and predict crowd movement. Crowd movement detection can be achieved through several methods such as video-based or signal-based identification methods. Video-based methods such as Mid Based Foreground Segmentation and Head-Shoulder Detection [ 2 ] are costly to implement as they require both cameras and vast amounts of storage to host the video files. Signal-based methods for detecting crowd movement typically function upon radio frequency identification (RFID) [ 3 ] tags requiring dedicated sensing equipment to be placed at the venue. At present, there is a promising method for detecting the number of people in a queue by utilizing the widespread Wi-Fi signal to extract the received signal strength (RSS) or channel state information (CSI) [ 4 ], however these methods are unlikely suited for dense crowd counting and movement detection within confined spaces. While a combination of these crowd movement methods could possibly be leveraged to communicate with applications hosted on cloud architecture, this paper focuses on the elastic scaling of a Kubernetes cluster based on demand.

Allowing interconnected systems to respond to certain types of crowd movements by changing the environment hosts a plethora of possibilities. Should an environment be able to adjust to certain types of crowd movements, for instance by widening or opening additional doorways, not only could user experience be improved, overcrowding hazards could also be prevented.

Smart homes connected via sensors to containerized AI- based applications running on Kubernetes could improve living experiences of users by automatically adjusting the environment within the home. Adjusting elements such as lighting, temperature and music to the needs of the user could vastly improve experience in an unobtrusive manner. Ubiquitous computing within the home powered by Kubernetes and its ability to auto scale provides endless possibilities to automating and improving living experiences.

As more devices join the network, the cloud-based system in turn is required to scale in accordance with load in order to maintain stability and provide the best user experience in a sustainable method. While commercial cloud-based solutions such as Google Kubernetes Engine (GKE) provide this functionality in public clouds, as of the time of writing no free and open source solution existed for elastically scaling private cloud or on-premise K8s clusters. This paper introduces a Free / Open-Source Software (FOSS) solution based on Kubernetes (K8s). The Infrastructure as a Service (IaaS) layer of this

solution is currently based on VMware vSphere technology in a private cloud model which is both proprietary and costly, however the solution can easily be adapted to leverage platforms such as oVirt or libvirt to make it entirely FOSS, with only the likes of server and networking hardware incurring cost. The solution is also adaptable to elastically scale into hybrid cloud architectures and leverage edge computing.

II. RELATED WORK

Cloud computing can take many forms, supporting various devices which are backed by a myriad of supporting infrastructure.

A. Ubiquitous Computing

While ubiquitous computing is intended to work transparently to the user [ 5 ], advanced levels of computation are required for the solution to remain effective, which the sensor devices are typically incapable of. Having a single device on the sensor network capable of internet communication will allow the sensor data to be uploaded to the cloud and analysed before instructions are made available for the devices to download and execute. In order to achieve these advanced levels of computation and AI processing a containerized cloud-based system [6] running on Kubernetes is proposed. This solution will need to auto-scale based on load, as it would be difficult to predict load on the system as users interact more and move in and out of network coverage areas, as is the norm in ubiquitous computing.

B. Edge and Fog Computing

Edge computing, commonly referred to as just “edge”, brings processing close to the data source, eliminating the need for the data to be sent to a remote cloud or other centralized system for processing. Elimination of the distance and time it takes to transport data to centralized sources improves the speed and performance of data transport which in turn improves applications performance on the edge. Edge computing can potentially address the concerns of response time and bandwidth constraints inherent with cloud computing [7]. Fog computing is a defined standard of how edge computing should work. It facilitates the operation of compute, storage and networking services between edge devices and cloud computing hosted in the datacentre.

C. Infrastructure as a Service

Cloud-based systems capable of elastically scaling [ 8 ] and interacting with ubiquitous computing sensor networks require an Infrastructure as a service component such as VMware vSphere to run the workloads. This layer provides computational abilities far beyond that of individual ubiquitous computing devices on the sensor network and provides an environment for the Kubernetes cluster nodes to both run and scale. Thus, IaaS can be exploited to support Ubiquitous Computing.

D. Container as a Service

Artificial intelligence components of ubiquitous computing systems should run in containerized environments

following 12-factor designs. This design will allow them to scale as required and to accommodate the unpredictable load sensor networks will place on the system [ 9 ]. Kubernetes provides an ideal platform for this type of workload. While K8s does provide a scaling service known as the Horizontal Pod Autoscaler (HPA), functionality to elastically scale the number of cluster worker nodes is not currently offered within the platform itself. The clusters ability to automatically scale would enable scaling support for ubiquitous computing beyond the limits of the cluster, not only on the user facing components but on the operational and supporting services as well. In order to successfully support ubiquitous computing, it is proposed that all elements of the system elastically scale vertically and horizontally on demand. Horizontal scaling will be implemented in the form of increasing compute resources through additional worker nodes rather than vertical scaling which entails adding resources to existing nodes. Horizontal scaling was selected as it requires zero downtime as apposed to vertical scaling which requires hosts to be powered down before adding additional resources.

E. Distributed Architecture Distributed architecture is a software system with interconnections between a collection of independent systems. Coordination and communication is established between the systems through API calls or message passing, with the intention of achieving a common goal. This type of architecture can be leveraged extensively in various designs including but not limited to application, infrastructure and network design [1 0 ].

F. Artificial Intelligence Artificial intelligence technologies are becoming increasingly prevalent, with their impact on individuals and societies varying widely [ 11 ]. While AI has no generally accepted definition, the term obscures the actual mechanism, with the possibility of hiding untrustworthy methods [ 11 ]. Implementation of AI methods without rigorous integrity can lead to devices and systems that are untrustworthy and sometimes dangerous [ 12 ]. Systems that are aware of the location of dense crowds of people and which control mechanisms such as opening and closing of doors can have profound negative impact if not implemented in a failsafe trustworthy manner.

III. PROPOSED SYSTEM AND ITS PARAMETERS

Cloud and ubiquitous computing in the context of this paper may take the form of a smart home with interconnected devices throughout, consisting of the user wearing a smart watch that interacts with distributed sensors, all communicating via Wi-Fi with the containerized AI application hosted on Kubernetes. The sensor network could not only turn lights on when a room in entered, a variety of other functions could be performed based on the constantly uploaded sensor data to the Kubernetes cloud platform which processes the data and can provide constant feedback to the sensor network. The AI applications could trigger actions such

as setting of ambient lighting or relaxing music based on mood, posture or a variety of other factors.

Having the ubiquitous computing sensor network respond to both physical motions, number of inhabitants and various other inputs would allow for a fully interactive experience in an unobtrusive manner. As the number of users interacting with the platform are likely to fluctuate, as family and guests come and go, or new sensor networks are onboarded, the platform is able to automatically scale both in the form of containers spinning up as required within the cluster, and the cluster itself scaling new worker nodes as the number of containers consume the capacity of the cluster.

Another scenario in which ubiquitous computing devices can leverage the cloud platform would be through the form of sensor network connected armbands sold as concert tickets. As users enter the arena, the platform could be used to track the number of concertgoers entering the stadium, which entrances were used, compressed areas within the arena that require attention as well as several other use cases, particularly in emergency situations should they arise. Having a flood of devices either join or leave the network requires a platform that can elastically expand and contract, which is one of the key focus areas of the proposed solution.

The proposed solution was primarily tested with on- premise private cloud infrastructure; however, the design could theoretically be adapted to run in hybrid cloud or edge computing designs as well. An in-depth discussion of the solution and the need to scale beyond the cluster boundary can be found in [13].

Figure 1. Ubiquitous computing powered by Kubernetes cluster autoscaling

The solution consists of virtual machines that make up the Kubernetes platform running on ESXi hosts, managed by VMware vCenter. This design choice was made due to market penetration analysis of virtualization in private clouds, according to Smart Profile’s analysis in 2017, VMware held seventy five percent of the server virtualization market [1 4 ]. The selection of Kubernetes as the container orchestration platform was based on its widespread adoption in the market

and the fact that it has become commonly known as the standard for container orchestration. Within the Kubernetes virtual machines are Linux operating systems based on Ubuntu 16.04.5 LTS, which in turn have Docker runtime 17.03.3-ce installed, providing the container execution environment. Ubuntu was selected as it is the standard platform for K8s, while Docker was selected due to its tight integration with K8s and wide industry adoption. In order to manage the container-based workloads, Kubernetes v1.13. provided a container orchestration platform which consisted of 3 master nodes and 3 worker nodes, which are the base of the unscaled cluster configuration. A minimum of three master nodes are required to establish a redundant control plane, as this is required for etcd to maintain quorum should a single master node fail. The VM scaling solution was based on Foreman Version 1.19.1. Foreman is a complete lifecycle management tool for physical and virtual servers. The Foreman implementation was deployed as a virtual machine based on CentOS Linux 7 (Core). Foreman was selected as it is completely FOSS as opposed to many market contenders, as well as its tight integration with VMware products and adaptability to other platforms. The installation of Foreman utilized a collection of Puppet modules and configured the Puppet master at version 5.5.8 to control both Foreman and the scaled Kubernetes worker node VMs from the same server.

The ingress solution, which was based on HA-Proxy version 1.6.3 was run on additional virtual machines based on Ubuntu 16.04.5 LTS. The HA-Proxy design choice was based on it being FOSS and its wide industry adoption. In addition to these servers there was a VM used to manage the Kubernetes cluster and act as the CA (Certificate Authority). The Public Key Infrastructure (PKI) server used was CFSSL, CloudFlare's PKI/TLS toolkit and was selected due to widespread usage on K8s and available documentation.

The virtual machines in which the Kubernetes nodes run should be distributed across a minimum of three physical ESXi nodes, with anti-affinity rules configured on the vCenter to separate the VMs in a single-master and single-worker node per physical ESXi host configuration. This design is intended to provide redundancy to support the ubiquitous computing devices allowing the solution to remain entirely functional in the event of virtual machine or physical host failure.

The container network was implemented using Weave Net. Weave Net implements industry standard VXLAN encapsulation between hosts to create a virtual overlay network that connects Docker containers across multiple hosts and enables their automatic discovery.

Communication with the containerized applications running within the Kubernetes environment was established by initiating connections through separate virtual machines configured to run HA-Proxy version 1.6.3 in a Virtual Router Redundancy Protocol (VRRP) Active/Active Cluster configuration. HA-Proxy was then configured to relay connections to the Kubernetes ingress API, which manages external access to services within the cluster. This design contributed to the level of redundancy required for the solution to support the dynamic workloads. The HA-Proxy VMs should be governed by anti-affinity rules in the vCenter environment forcing them to run on separate physical ESXi hosts to increase their redundancy.

The ability for this solution to elastically scale virtual machines on the vCenter managed IaaS platform was provided by the lifecycle management tool named Foreman. Foreman interfaces with the vCenter API to trigger creation of additional virtual machines, based on preconfigured templates. The templates were hosted on the vCenter platform and contained the base Linux OS based on Ubuntu 16.04. LTS, with the Kubelet package and configuration scripts preinstalled.

The Foreman tool managed both the Dynamic Host Configuration Protocol (DHCP) and Domain Name System (DNS) solutions. DHCP was based on Internet Systems Consortium, Inc. (ISC) DHCP, and DNS was based on ISC DNS which is based on Berkeley Internet Name Domain (BIND) version 9.

Scaling worker nodes was initiated via a vCenter alarm which triggered once a specified Central Processing Unit (CPU) or Memory threshold was reached and maintained for a defined number of minutes within a control VM, which was one of the worker nodes in the base configuration of the Kubernetes cluster. Configuration of the vCenter alarm can be seen in figure 2. The control VM selection can be any worker node in the cluster however only a single VM should be monitored in order to avoid scaling multiple VMs simultaneously. The reason any worker node can be selected is due to the Horizontal Pod Autoscaler (HPA) distributing Pods onto all available worker nodes at the time of initial scaling. The alarm was configured to execute a bash script hosted on the vCenter server when it fires. The performance metrics affected by the synthetic application load can be seen in figure 3.

Figure 2. The vCenter create-VM alarm

Synthetic application load that triggered elastic scaling was generated using a tool named Locust, this tool simulated users accessing a web app hosted in a Pod within the Kubernetes cluster. This page performed CPU intensive calculations purely to simulate load. In a real-world scenario this application would be based on AI code that interacts with the relevant ubiquitous computing devices. The synthetic load generated by Locust can be seen in figure 4.

Figure 3. Control VM’s CPU performance metrics with load.

Figure 4. The Locust tool generating load.

The bash script was configured to execute a separate script on the remote Foreman server which performed multiple functions. First a hostname with a random unique integer appended was generated, both stored as a variable and written to a text file. The script then called the Command Line Interface (CLI) tool for Foreman, named Hammer. Switches were passed to the Hammer CLI tool, which include the unique hostname which was stored as a variable, as well as switches that instruct Foreman to create a VM from template, based on preconfigured values within Foreman, such as which template to instruct the vCenter to clone, number of vCPUs etc. Various preconfigured values exist within the Foreman tool which allow Hammer to trigger a preconfigured VM build process. The process the script follows to create the scaled Kubernetes worker nodes can be seen in figure 5.

Figure 5. The create VM script process

When the Hammer CLI tool executes the API call to Foreman, several tasks are initiated. First an API call to the vCenter server is made calling for a clone to be created from the preconfigured template, with the same name passed as the hostname switch via the CLI. Next a DHCP reservation is created based on the Media Access Control (MAC) address returned from the vCenter server during the API call, which is the configured MAC address of the new VM, using an available Internet Protocol (IP) address from the configured DHCP pool of addresses. A DNS A and PTR record are then added to the BIND zone file listing the hostname previously passed as a switch to the Hammer tool, with the same IP address configured in the DHCP reservation based on the newly created VMs MAC address. This allows the VM to boot with an expected IP address and hostname, allowing Puppet to connect to the VM once booted and complete configuration.

Configuration of the scaled VMs once booted is controlled by the Puppet tool, which Foreman interacts with via its API. A preconfigured Puppet script which is hosted within Foreman is executed on the booted VM via the Puppet master and is used to perform various functions, including an update of installed packages, installation of new packages if required and perform any other defined configuration tasks. As part of the Puppet script, the hostname is configured to be the same as that registered in DNS, then a command is executed to join the scaled VM to the Kubernetes cluster as a worker node. For the command to function indefinitely a non-expiring bootstrap token was generated on the Kubernetes platform.

For the solution to automatically downward scale both VMs and K8s worker nodes, a separate vCenter alarm was configured to monitor CPU or Memory and trigger when the configured threshold is below the defined threshold for a defined number of minutes. The alarm configuration can be seen in figure 6. When the alarm is triggered a script is executed on the vCenter server to remove the worker node from the Kubernetes cluster and power the VM down and delete it. This activity can be seen in figure 7. The script process to delete Kubernetes worker nodes and their associated VMs can be seen in figure 8.

Figure 6. The vCenter delete-VM alarm.

Figure 7. VM deletion triggered by load reduction.

The bash script used to scale inwards or remove worker nodes and VMs called a separate script which was run on the remote Foreman server where several commands and additional scripts were also executed.

Figure 8. The delete VM script process

First, Secure Copy (SCP) was called to copy the text file containing the scaled VM names created during execution of the upward-scaling script to the VM used to manage the K8s cluster. SCP was then called again to copy the same text file to the Foreman VM. A separate bash script was then called from within the script to execute on the remote K8s management VM and remove the scaled worker node from the cluster. The script used the Linux sed command to parse the top line of the text file for the relevant hostname and passed that into the kubectl delete node command as a switch. Once the remote script used to remove the K8s node completed, a second script was called from within the original script to execute on the remote Foreman server, again parsing the top line of the text file containing scaled hostnames using the Linux sed command, then passing that as a variable to the Hammer CLI command to delete the specified VM. The Hammer CLI tool then called the vCenter API to power the VM down and delete it. The sed command was then used to remove the first line from the file containing hostnames, this allowed the process to complete on any additional scaled VMs.

The process proved to be a robust solution for automatically and elastically scaling K8s worker nodes hosted on the vSphere IaaS platform. As application load increased within the Kubernetes cluster, available resources were consumed on all available worker nodes. This triggered elastic scale-out which introduced more resources into the cluster, making them available to serve existing and further increased load. As application load was either decreased or removed

entirely the solution triggered scale-in activity removing all unnecessary worker nodes in the cluster.

The cost savings gained through this form of elastic cluster scaling, based on public cloud VMs referenced in [1 5 ], are US$0.10 per virtual machine/hour. Based on these figures, increasing the cluster size with three additional nodes will cost approximately $219 per month, whereas elastically scaling out as needed within the month may cost US$50.40 based on typical usage*. This reduction in costs could equate to as much as a 76.99% saving.

*Typical usage is defined as intermittent bursts with a maximum of 1 week per month.

IV. DISCUSSION

This solution brings with it a vast number of use cases. In addition to the two scenarios listed, it could be used to support medical, law enforcement, agriculture, traffic and a myriad of other use cases.

Possibly one of the most crucial aspects of this solution is security. Any system that is aware of the location and movement of people is likely to be a target for nefarious individuals and systems to exploit the data. Not only will securing the data be paramount, how the system uses that data could lead to dangerous situations. For example, should the AI be implemented in an untrustworthy or unsafe manner, crowds fleeing towards an exit could be obstructed by doors closing rather than opening. Threat agents who gain access to the system or data and can manipulate its functionality could in theory force the system to act in a dangerous manner.

During testing the HPA was found to distribute workload unevenly amongst available worker nodes. Under load across 3 nodes and 20 scaled Pods, a variance of as much as a 20% CPU activity was witnessed. Based on this the control VM selection should be based on analysed workload distribution within the environment.

While the solution can horizontally scale by adding Pods to existing worker nodes very fast through the HPA, the much slower speed at which it can scale the cluster by adding new worker nodes should be taken into consideration when configuring alarm thresholds. Under testing conditions scaled worker nodes were only active in the Kubernetes cluster 6 - 8 minutes after threshold alarms fired and triggered VM builds. This is due to several factors such as the hardware type and configuration, amount of time it takes to clone the VM from template, boot the operating system, configure it and join it to the Kubernetes cluster.

Based on the amount of time it takes to complete the elastic scaling activity, the solution should be configured to only respond to reasonable periods of increased load on the system. Should the alarm threshold be configured to fire after short periods of increased load, VMs may still be in the process of creating while the load drops below the requirement for that added worker node. Should the alarm thresholds be configured to fire only after extended periods of time, user experience may be impacted. Careful consideration should be taken to determine alarm threshold parameters to cater for each of these factors.

While the base system is configured with three worker nodes, which the solution is not able to automatically reduce past that, additional worker nodes can manually be added to the base configuration in which case the solution would only scale once usage across all existing base nodes exceeds the configured threshold. Therefore, when the solution is deployed, a performance baseline should be taken to determine the optimal number of worker nodes required for the system to run optimally and the base number of worker nodes adjusted accordingly.

Configuration of the MaxPods value in the HPA should be carefully evaluated as it could inhibit the efficacy of the solution. Once the MaxPods value is reached, the Pods will no longer scale within the cluster unless this value is set large enough or until it is increased once worker nodes are added. Dynamically adjusting the HPA MaxPods value as part of the elastic scaling activity would be effortless to implement.

Testing of the solution was conducted using synthetic load based on a containerized web application that performed a CPU intensive mathematical calculation every time the web page was hit, based on the K8s HPA example Pod. Load was generated by using a tool named Locust, which is an open source load testing tool [1 6 ]. In order to generate load that proved enough to maintain above 70% CPU utilization on the control VM, 3 0 0 users were simulated at a hatch rate of 300.

This solution could yield positive results by hosting the base cluster on private cloud architecture for security reasons, while elastically scaling either into a hybrid cloud design or onto edge devices to increased accessibility and reduced latency and bandwidth consumption.

V. CONCLUSION AND FUTURE WORK While this research was based on a proprietary IaaS solution, additional research could produce an entirely FOSS solution. Foreman has built-in support for oVirt and libvirt which can be leveraged; however, the alarming solution will also need to be adapted as it is currently based on vCenter performance alarms. Use of Prometheus and Alertmanager would likely yield positive results in triggering VM builds through the Foreman API. This solution provides a dynamically scaling support infrastructure for ubiquitous computing which can be used in a variety of different use cases. Running AI, although not a requirement, is likely to yield advances in in the field.

This research provides a discussion on scalability issues but the issue of security within such devices remains a concern as previously mentioned. Whilst many solutions have been put forward [1 7 , 1 8 ] it is clear that attacks on ubiquitous devices and their associated AI applications hosted on cloud infrastructure can range from issues regarding privacy to endangering lives [1 9 ]. Further issues in ubiquitous and cloud computing include the human aspects [ 20 ] including interaction and design and contextual usage. It is clear that much research in this field is yet to be done.

ACKKNOWLEDGMENT

The authors would like to thank Letterkenny Institute of Technology for their funding of this research work.

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