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Machine Learning Framework for Intelligent Detection of Wastewater Pollution by IoT-Based Spectral Technology

Industrial wastewater contains excessive micro insoluble solids (MIS) that probably cause environmental pollution. Near-infrared (NIR) spectroscopy is an advanced technology for rapid detection of the complex targets in wastewater. An Internet of Things (IoT) platform would support intelligent application of the NIR technologies. The studies of intelligent chemometric methods mainly contribute to improving the NIR calibration model based on the IoT platform. With the development of artificial intelligence, the backward interval and synergy interval techniques were proposed in combination use with the least square support vector machine (LS SVM) method, for adaptive selection of the informative spectral wavelength variables. The radial basis function (RBF) kernel is applied for nonlinear mapping. The regulation parameter and the kernel width are fused together for smart optimization. In the design for waveband auto fittings, the total of digital wavelengths in the full scanning range was split into 43 equivalent subintervals, and then, the back interval LSSVM (biLSSVM) and the synergy interval LSSVM (siLSSVM) models were both established for the improvement of prediction results based on the adaptive selection of quasi discrete variable combination. In comparison with some common linear and nonlinear models, the best training model was acquired with the siLSSVM method while the best testing model was obtained with biLSSVM. The intelligent optimization of model parameters indicated that the proposed biLSSVM and siLSSVM deep learning methodologies are feasible to improve the model prediction results in rapid determination of the wastewater MIS content by the IoT-based NIR technology. The machine learning framework is prospectively applied to the fast assessment of the environmental risk of industrial pollutants and water safety.

In this work, the IoT-based NIR spectroscopic technology was utilized for quantitative detection of wastewater MIS contents. The goal is to observe the optimal machine learning model for fast estimating wastewater pollutants. For modeling innovation, the backward interval and synergy interval techniques were proposed as for adaptive variable selections, in combination use with the parametric LS SVM learning method. The machine learning framework utilized the RBF kernel for common nonlinear mapping. Thus, the regulation parameter and the kernel width are fused together for two-dimensional grid search optimization.

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IoT data provides a foundation for smart city 

Smart cities can make residents' lives easier through real-time traffic information and public safety alerts. 

The key features of a smart city are big data, information collected from many different sources, and its analysis, followed by the data's intelligent use to improve the lives of its residents. This type of data collection requires fast and reliable connectivity from all possible data sources. It is important to note that a connected city is an IoT network but not necessarily a smart one. Being connected is a prerequisite of being a smart city, but being connected does not imply "smartness," which requires regular data analysis and improvements based on that analysis.

Smart city software components and data sources

Smart city OSes provide open access to a very large amount of data/information about the city in a cloud server. They collect and share data from traffic cameras, road sensors, connected vehicles and connected infrastructure such as roadside units in traffic lights. Smartness is the result of analysis of this big data in real time to manage traffic and offline analysis of mobility patterns and areas of higher density -- as well as spatial and temporal correlation to better understand the city dynamics to address urban planning. Smart city connectivity is often based on an IoT network that constantly provides information-rich data. The easiest use of this data is just to make it available after light data processing to put it into graphical form.

Some traditional use cases of IoT data include traffic status that includes average speed and bottleneck locations with color coding, or warning residents of expected natural disasters or adverse weather conditions with the instance's severity and predicted locations.

To get this data, smart cities rely on personal mobile devices, computers and smart devices in residents' homes and offices. The infrastructure also has networks of cameras and sensors to collect shared city information. These information nodes consist of sensors, modems, mobile devices and computers. Device software is connected through an IoT network but raises questions around data interoperability and formatting. This information and warning visualizations was traditionally conveyed with computers or geo-fixed warning systems such as loudspeakers. The current trend is to use mobile devices to offer on-demand, near-real-time information without the need to be near a computer. This capability also allows more personalized use of IoT information in comparison to the traditional mass warnings -- such as road closures, COVID-19 alerts or public safety concerns -- for a geographic area.

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IOT Ecosystem  - An Ecosystem of Trust

An IoT ecosystem includes IoT network components, network services and network participants such as organizations, consumers, governments, and businesses. Due to its diversity and scale, trustworthiness is a critical concern to be considered during architectural design and the operational phase of these ecosystems. To do this, security, privacy, reliability, resilience and safety must be assured. However, existing solutions partially address these requirements using centralized approaches that come with challenges such as a single point of failure, scalability, and dependence on a third party. In this context, Distributed Ledger Technology (DLT) and Smart Contracts, due to its intrinsic properties of transparency, immutability, and underlying secure-by-design architecture, allows distributed, decentralized, automated workflows, which can be incorporated to automate the management of the next generation IoT networks. In this paper, we propose a framework for IoT ecosystems providing seamless integration between IoT and DLT to create a decentralized trusted architecture, which ensures trustworthiness of IoT ecosystems at design time and a trust reputation model based on the architecture to protect it during the run-time. Furthermore, we have presented the initial steps towards the implementation of this framework.

The Internet of Things (IoT) describes the concept of physical objects equipped with identifying, sensing, networking, and processing capabilities being connected to the Internet. Architectures for the IoT typically rely on transmitting data to centralized cloud servers for processing. Although cloud services are supposed to enhance the IoT in storage, computation, and communication capabilities, this approach often generates isolated data silos and requires trust in third parties operating the cloud servers, which become a single point of failure. In addition, centralized cloud-based applications lack transparency and allow for undetected manipulation and concealment of IoT data. To overcome these downsides, we develop and evaluate a blockchain-based IoT sensor data logging and monitoring system, employing a design science research approach. In this article, we show that such systems should provide modularity, data parsimony, and availability in addition to domain-specific principles. The prototype improves data integrity and availability but uncovers challenges, such as high operating costs through smart contract computation fees. Furthermore, semistructured interviews with practitioners allowed us to derive insights for developing blockchain-based IoT ecosystems and reveal that cooperation with organizations is key for transferring solutions into production. We contribute to the IoT knowledge base by providing design principles as well as managerial and technological recommendations.

In recent studies, IoT devices can be seen as having a form of social relations. One form of social relations between IoT objects is the level of trust. A trust-based security model is an approach to creating a secure IoT environment. It can also be viewed as a method of determining the level of trust of an object in an IoT system. Confidence levels are obtained through calculations both directly and based on previous experience. The value of this belief calculation will be used as a recommendation of trusted objects. The main objective of this research was to design a trust-based security model on a network of non-infrastructure and limited resources, emphasizing to develop a trusted IoT ecosystem so that a secure environment would be established to run services within IoT systems and applications. The calculation of trust value in the proposed trust model is based on four metrics: centrality, intelligence, direct observation, and indirect observation. This paper also presents the result of execution time testing of the trust calculation algorithm in various IoT devices.

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What IoT Means to the Business World

Healthcare

IoT in Healthcare has opened new doors of opportunity for medical specialists and patients. The purpose of  internet of things data is to enable doctors to get real-time access to patient medical data, store them on cloud, and share with others. It also cuts down the waiting time, helps to check for the availability of hardware and equipment, and simplifies the process to identify chronic diseases and take the right actions to mitigate the risk.

Education

Internet of Things technology is also revolutionizing the education sector. It is connecting people worldwide to ease the process of sharing knowledge, reduce the barrier in gaining access to any data, introduce security in the education system, and more.

 Retail

Another domain that is enjoying a myriad of opportunities and facilities after getting an understanding of what Internet of Things technology and how to incorporate it in their processes is Retail. The industry, with the help of what we call Internet of Things applications, is finding it easier to deliver personalized experiences to their user base, automate checkout processes, perform maintenance effortlessly, and more.

 Sharing Economy

The combination of IoT and Blockchain, i.e, (Blockchain of Things) is reshaping the Sharing economy. The dual technologies are helping to build an online marketplace where data from all the companies and stores can be stored and shared securely and effectively using the concept of Smart Contracts. And eventually, used by others with the motive to cut down the efforts required from the user end.

Real Estate

IoT technology is also reshaping the real estate economy by speeding up the decision making process, offering more energy-efficient options, making space smart, and more.

Travel

Here, IoT is empowering travel agencies to deliver real-time information, automate most of the processes, and send electronic key cards on guests’ smartphones. And in this way, adding convenience, ease and security to their experience. 

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Emerging IoT Technologies You Need To Know In 2023

1. IoT security2. IoT fueled with 5G technology3. Blockchain 4. IoT enabled AI applications5. Digital twinsThe digital twin technology trend came into limelight in 2020. A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process. A digital twin can be used for multiple things such as monitoring, diagnosing, optimizing and controlling asset performance and utilization. From US $3.8 billion in 2019, the projected compound annual growth rate of the digital twins market will be US $35.8 billion by 2025. 

security is one of the major concerns when it comes to such an extensive level of connectivity. A security vendor has detected over 100 million attacks on IoT endpoints in the first half of 2019 alone, highlighting the continued threat to unsecured connected devices. As a result, security is an evolving IoT trend and many companies around the globe are developing IoT security solutions using different technologies. 

5G technology is not just a new generation of wireless technology, it is a  foundation to release the full potential of IoT thus revolutionizing technological growth. It is without a doubt that the most important internet of things emerging technologies 2021 since reliable connectivity will result in better performing IoT devices. Real time data processing, lower latency, network slicing, higher transmission speed and extensive coverage are a few things that 5G brings on the table. 

Increased adoption of blockchain technology is one of the latest IoT trends.Blockchain can ensure data protection in IoT devices. Blockchain allows successful interaction between multiple network nodes and ensures safe record keeping and that is why it is a great fit for IoT applications since they are also distributed by nature. 

Two very different technologies such as the internet of things and artificial intelligence can together provide commercial solutions. AI algorithms now need very less data in order to deliver good and effective results. IoT development services in industries making use of these two technologies can help automate many processes and reduce downtime, reduce operating costs, increase efficiency and enable predictive maintenance. 

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Pet Trackers For Your Furry Friends

These days, we expect to be able to locate anything and everything that is important to us, whether it is our children, our cars, our packages, or our pets. Pets feel like a part of the family, and people have all sorts of gadgets to keep them updated on what their pets are doing when they aren’t around. Collars and wearable devices for pets are an increasingly popular option, particularly for owners who want to provide their dogs and cats with freedom to explore off leash. 

Pet trackers provide peace of mind about your pet’s location, with options to alert owners when the pet leaves your backyard or designated ‘safe area.’ 

 Here are three reasons pet trackers are a great option for all pet owners.

Safe Outdoor Exploring 

Find Out More About Your Pet

Find Your Pet When They Go Missing

1. Safe Outdoor Exploring

Our pets want to run around, explore, and be outside off leash. Many pet owners want to be able to open the door and let their dog or cat roam around the backyard or neighborhood, without needing to constantly watch them or try to keep them within a certain space. Instead of needing to invest in a fence or feeling anxious when pets are outside alone, pet trackers can provide peace of mind. Many pet trackers have the ability to set up a geofence around a designated safe space - like a backyard or neighborhood, and the owner can receive a notification when the pet ventures further. Some pet wearables also use tones and vibrations to train the dog on areas of the geofence so they are trained where to not go, and improve their overall behavior. 

 2. Find Out More About Your Pet

Pet trackers give owners an inside look at what their pets do and where they go. Location technology within the wearable can provide a travel path of which houses in the neighborhood a dog may visit, or tell you that your cat sits at the same bird feeder every day. Some pet trackers also provide more in-depth data about fitness and activity levels, helping owners keep their furry friends happy and healthy. These trackers can show when movement levels change from resting to high-activity, distances traveled, and some can even provide temperature checks so there isn’t the risk of leaving your dog in a too hot car.  

 3. Find Your Pet When They Go Missing 

The most obvious, and important benefit of a pet tracker is to find them when they don’t come home. Pet trackers provide location positioning so that when your pet has been gone too long and you’re feeling concerned, you can see where they’ve been traveling, and if they are far from home, and where to find them. Some devices have QR codes that can display contact information of the owner if the animal is found by a stranger. Other varieties of trackers can even help guide pets back home through lighting or beeping in the device, or via a recorded voice command from the owner. 

 Pet Trackers Locate Pets

There are various ways that pet trackers can provide location positioning, and it will depend on the make of the device and the location technology they use. An important consideration is battery life - if your pet does get lost you’ll want to be sure the device won’t run out of battery power before locating the pet. 

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IoT Trends in Banking/Finance – Capacity Management, Personalization and Improved Security

In 2023, the financial sector will leverage the potential of IoT for improved efficiency of operations. Some areas where the impact will be clearly visible are as follows:

Improvement in security of payments – Smart cards and biometrical tokens are emerging as new forms of payments. These technologies are likely to see increased adoption in the upcoming year.

Personalized wealth management – Valuable wealth management insights can be gathered by employing IoT-enabled data processing algorithms. This facilitates increase in the speed and accuracy of data collection as well. IoT-powered wealth management solutions are also beneficial to customers as they receive alerts when their financial stability is at risk.

Capacity management – IoT-enabled sensors can be deployed to gather and process data regarding customer footfall at branches. This real-time data can be used by the banking authorities to plan for maximum efficiency of operations. They can decide how much staff is needed for peak efficiency and how the counters can be manned full-time. They can also predict the amount of cash that needs to be in stock at the ATMs in bank branches.

Conclusion

In 2023, the adoption of IoT in various industries is expected to reach new heights. Meanwhile, the challenges of IoT security that has been a hot topic of discussion within the industry is being diligently tackled by system designers and developers.

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Healthcare IoT Trends – Telemedicine for Remote Patient Monitoring & Diagnosis

Telemedicine is one of the most disruptive technologies in the healthcare domain today. It is essentially the use of electronic information and communication channels by medical institutions to provide healthcare. Through this technology, patients at remote locations can avail quality medical care. Although telemedicine has been around for several decades, it saw renewed interest and adoption in the post-COVID era.

If a healthcare provider’s technology is enabled for telemedicine, doctors can communicate with patients in real-time and provide a treatment plan. This is particularly beneficial for patients in rural areas where public health facilities are limited.

Remote patient monitoring systems enable continuous collection of patient data at regular intervals. This information is then sent to the healthcare agencies for interpretation. This is of immense benefit to elderly patients who are homebound. A nurse can visit the house of the patient and configure the remote patient monitoring equipment. The tests can also be conducted and sent electronically to the doctor.

Telemedicine technology is increasingly being used by doctors for continuing medical education and research.

Since telemedicine has been found to deliver on all its promises, this trending technology is expected to grow in popularity in 2023.

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IoT Trends in Ecommerce – Personalization Through Artificial Intelligence

Ecommerce trends for the future are heavily influenced by the use of machine learning (ML) and artificial intelligence (AI). Today, AI is enabling unparalleled user experiences in online retail through personalization.

Personalized product recommendations are now seen on most leading ecommerce websites. These recommendations have completely replaced endless product lists to offer unique shopping experiences to users. A product recommendation engine uses machine learning algorithms to gather data about each online user based on their historical browsing and purchase activity. Collaborative Filtering and Next-in-Sequence models are predominantly used for these predictions.

Personalization also goes a step beyond product recommendations. Ecommerce websites use different welcome texts, product descriptions, online shop navigation sequence, etc. based on the user’s historical data.

Big ecommerce players are additionally using visual search solutions to offer unique user experiences. Consumers can take photos of the products that they have seen offline and upload the images to get similar product suggestions.

Dialogue-oriented online retail involves the use of voice-controlled services or smart chatbots to engage with the customer.

Consumer location data is crucial for ensuring their convenience. An example of this is the curbside pickup facility that has gained popularity in some countries since the pandemic-induced lockdown. Such location-based services will see further growth in 2023.

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IoT services: How It will lead the future

Internet of Things (IoT) is a seamless and massive platform through which different types of devices can connect with each other over the Internet, enabling them to share and exchange information. The devices can vary in forms and functionality, and all they need is the ability to transmit and receive data over a network. Through this, they would be able to perform useful tasks on their own without any human intervention.

For instance, if you’re stuck in a traffic jam, the sensor in your car will be able to auto-detect it and inform your smartphone about it on its own. By making use of this information, your smartphone will be able to figure out that you’d be late to a pre-scheduled meeting with a particular client based on a message sent to it through your laptop.

Subsequently, it will send out a message to the client informing about the delay, and all of this happens automatically without you even having to press a single button. This is, perhaps, a simple demonstration of the power of IoT, because some of these devices are capable of performing a much more complex task on their own, which makes it such an interesting prospect.

As it can virtually connect almost every device in the world through the Internet, IoT is deemed to have a huge potential. Going ahead, here are some of the ways in which it will be able to lead us into the smart future.

Smart Factories

One of the sectors that would extract maximum benefits from IoT is the manufacturing industry. It’s because every factory comprises multiple departments that have to work in tandem to produce the end-product. For instance, the warehouse has to keep track of every single piece of inventory that comes in and goes out. Similarly, the Production floor and the Packaging departments also have to follow a complex process of keeping track of every single product that gets produced and packaged. In factories that produce a huge number of products in a day, tracking and accounting can be highly monotonous.

Here is where IoT has a huge scope and can help in making the process much simpler.

By deploying sensors to collect and store information of each piece of inventory and every finished product, factories can be converted into smart facilities. Additionally, by using predictive analytics and telematics in a device-to-cloud connectivity model, the manufacturing units can become much more efficient. It would not only help in maximizing the output but also lead to saving huge cost and resources.

Smart Dwellings

Our homes constitute a number of domestic appliances such as washing machines, refrigerators, microwave ovens, etc. Together they can form a functional network that would essentially turn our homes into smart homes and could completely change the way we live today. They would not only make our lives easier but will also reduce the unwanted wastage of energy, which will help in saving costs.

For instance, the motion sensor would be able to track our movement in the house and would inform us about our presence in the room to lights, fans or AC. The lights will then switch off automatically when there’s no one in the room, which in turn will help in reducing the energy consumption. Similarly, when the door-locking system is enabled to be controlled using our smartphones, it would add to our security.

Smart Townships

IoT will have a huge impact on the connectivity within our cities and towns. By giving the ability to the devices that help in managing the traffic, street lights or vigilance cameras in public places, the cities and towns would get smarter and better. The adoption of sensor-based surveillance for elderly monitoring and virtual city navigation will be a huge advantage for both the city authorities and citizens. These connected devices and applications which will thus improve the urban living experience by helping in boosting infrastructure while also minimizing crime rate in the cities and towns.

In short, the IoT revolution will minimize the efforts that we have to put in doing trivial things that result in the wastage of our time. The smarter factories, homes, and cities, would also ensure massive savings in power and fuel while operating at an optimal level with minimal intervention from human beings.

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IOT - TRANSFORMING THE ENERGY INDUSTRY

As worldwide energy consumption is expected to grow by 40% over the next 25 years, the need for smarter energy solutions has reached an all-time high. There are some major shifts toward more efficient energy management. From smart light bulbs to completely autonomous offshore oil rigs – the current impact of IoT on the energy sector is hard to underestimate. Driven mostly by the growing demand for process automation and operational efficiency, more businesses are exploring IoT use cases in energy management.

The internet of energy: opening up IoT opportunities within the energy industry

As mentioned above, the major driver for the use of IoT technologies in the energy industry is the need for more efficient, streamlined energy management. Yet, there are many more ways IoT energy devices can transform the industry.

The main impact of IoT on the energy industry lies in the following:

Higher energy efficiency using IoT. Largely due to the improved control over energy consumption, organizations can significantly reduce waste. This leads to major cost savings and allows for the cutting of CO2 emissions, which has a positive impact on the environment.

Cost savings. IoT solutions for the energy industry help organizations cut maintenance and operating expenses through system modernization and minimized human effort.

Increased reliability of power supply. The average cost of a power outage in the US currently equals to $150 billion per year, and around 25% of all industrial outages were caused by equipment failures. With that being said, a proposed solution to address these issues is to always be connected by IoT energy systems, as they offer a more stable and reliable source of power.

New data sources. In terms of collecting and processing tons of data, IoT energy devices offer real-time insights into a system's performance. By using this data, it is possible to implement predictive maintenance models as well as improve staff safety.

 Challenges for IoT in the energy sector and how to overcome them

Despite the number of undeniable advantages, smart energy solutions have their implications. Namely, here are some of the pitfalls you need to take into account when considering the use of IoT technologies in the energy industry.

1. Security is a common threat to all IoT solutions. The APIs that connect your devices into a unified network can be used as an entry point for targeted attacks.

2. Connectivity: your system needs to always be -on, with a minimum delay for data processing and feedback.

3. Integration challenges may arise when you need to connect your new IoT network to the existing legacy systems that often rely on outdated technologies. In this case, you’ll need to first start by modernizing the current infrastructure.

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Internet of Things - Innovating Field Service Management

1. Monitoring and diagnostics of data in real-time2. Asset management from a remote location3. Maintenance planning4. Tracking using GPS5. Professional’s expanded responsibilities

The recent decades have seen the advent of many new technologies that influence the market and redefine how experts like field service organization professionals complete their daily tasks. AI technology (Artificial Intelligence), VR technology (Virtual Reality), the Internet of Things (IoT), and computerized inventory are all transforming current practices.  IoT, specifically, has been found to be pretty useful in field service management. The new generation of field service masters has been using IoT field services to resolve many complex tasks that were difficult to follow by traditional field service management practices.

Definition of  Field Services

Field services, specifically field service management, can be defined as a process by which organizations arrange and coordinate resources to provide in-person assistance. They have numerous applications, such as asset monitoring, machine assembly, servicing, and break/fix. All the employees in a company, including the agents, employers, dispatchers, and others, work together to fulfill these tasks. 

IoT in Field Services

The Internet of Things (IoT) can be explained as a vast system of interconnected digital gadgets that can interact and share data. These include all kinds of connected devices, like mobile devices, which can exchange data over a vast network. This interconnection in IoT signifies a huge shift in how business can be done, rewriting how people-to-people, people-to-things, and things-to-things relationships are performed. Connecting the Internet of Things with field services lets business organizations optimize their business processes and practices. Business organizations benefit from IoT by leveraging the capacity to understand more about the service delivery process using machine learning methods and collecting information supplied by sensor devices.

Methods Field Service Organizations Use to Implement IoT Field Services to Boost Revenues

It helps companies acquire a more accurate view of equipment conditions by collecting real-time data from IoT devices. The Internet of Things uses a central hub to collect data from online sensors, analyze it, and then inform technicians on which services to deploy. Jobs are assigned based on direct diagnosis from IoT hardware sensors rather than monthly maintenance tasks. Wearable IoT diagnostics hardware is expected to grow in the future, according to 68% of specialists.

The Internet of Things makes connecting assets to field service management software easier and more versatile. IoT allows for remote diagnostics, eliminating the requirement for a technician or field service expert to manage assets in real-time. Presently, 5G-enabled technology is being used to support field service management with the rise of remote working culture due to Covid-19.

Maintenance data accuracy is critical for increasing economies, but good data management may help businesses transition to a predictive maintenance model. IoT makes companies change their present cultures to a more data-driven approach. This results in more analytically efficient work with the correct incorporation of data and information. In retrospect, connected field service using predictive analytics specifically helps a company improve its performance when implemented correctly.  Predicting anomalies in field service data promptly, according to DataRPM, can reduce equipment breakdowns by up to 70%.

Field service technicians are tracked using IoT technology and a good GPS (Global Positioning System). Most of us are familiar with GPS, which powers sat-navs and maps on our smartphones. Using portable devices to track employees has various advantages for companies, which are:

Current and accurate maintenance work data

Safeguarding workers

Customer service improvements

Using IoT technology, companies can send real-time, automated data alerts to a company’s field service teams, which will help them save money. IoT monitoring services assist teams in working safer and smarter by exposing the extent and urgency of issues to field workers.Sensors can help with “dirty jobs,” like wastewater treatment and offshore drilling. As a result, employees will be more secure and comfortable.

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IoT for Small Business - Impact and Future Prospects

The Internet of Things (IoT) has made lives easy and comfortable. We can now order food, dresses and groceries at the tip of our fingers. Banking and finance have also become easy to understand as well as use, all thanks to IoT. It has also carved its niche in small and medium scale industries. The Internet of Things (IoT) and the technologies that go with it are generating a lot of buzz among proponents all over the world. While no one can deny its numerous advantages, small businesses are nonetheless sluggish to adopt it. According to a poll of 561 executives conducted by The Economist Intelligence Unit to determine the scope of IoT adoption among industrial organizations, only 19 percent planned radical changes to incorporate the new technology, while 39 percent had only introduced digital training.

 Efficiency 

The productivity rate improves when IoT is applied in daily businesses. Redundant tasks like finding a new list of contacts and connecting them with a sales pitch can be automated. A human gets to intervene only after a certain level in the sales pipeline. You can find people’s email addresses in just a matter of seconds. This tool powered by artificial intelligence has an extensive database. 

 Cost-Effective

A recent study conducted by Deloitte found that predictive maintenance can improve the software’s availability by 10-20% and reduce the overall cost by 5-10%. A business owner – big or small – does want to cut the expenses down wherever possible. 

 Customer experience

The result of any business is not just to make a sale but to ensure that the customer is satisfied and happy with the product. The intention here is to encourage the customers to come back again as many times as possible.

To do that businesses must have highly effective and efficient customer service. It has led to more business owners leaning on IoT to help them with customer service. IoT devices assist in better customer engagement.

Flexibility 

It is the versatility that IoT provides that people can work from the comforts of their homes. Had there not been such technological advancement, the world would have literally collapsed during the pandemic. IoT has played a substantial role in allowing people to work and survive even during adversity.

Remote workings will become an integral part of every company. The Internet of Things enables us to access and monitor the employees in a more productive manner. However, the business must take additional measures to safeguard their information with compliance. Organizations will have to come up with new policies and strategies to match up with this technology.

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IoT in Transportation: All You Need to Know About Smart Traffic Control System Using IoT

The applications of IoT in the transportation industry Traffic management

Rapid urbanization is a challenge for organizations that manage the city’s infrastructure and are responsible for comfort and safety.  The number of cars is growing, traffic is becoming more intense, so congestion and traffic accidents are common. Meanwhile, traditional traffic control systems have insufficient coverage to control all city traffic and cannot scale properly. Therefore, cities critically need modern intelligent solutions that handle traffic better and improve the comfort of drivers, pedestrians, and passengers.

IoT transforming the transportation industry

Over the past decade, the Internet of Things has made a quantum leap forward and has become the basis for intelligent digital solutions, which are so lacking in logistics and transport. According to a report by Grand View Research, the global IoT device management market will grow to $5.1 billion by 2025 at a compound annual growth rate of 28.3%. Digitalization and the urgent need for communication and network technologies, including the transport industry, have become the market’s driving forces. These innovative solutions prepare the city’s infrastructure for the next technology milestone, including connected vehicles and full 5G deployment. Juniper Research analysts estimate that by 2023 more than 62 million vehicles will be in communication with each other. 

There are other areas of the transport sector where the Internet of Things can transform the transport system:

When it comes to implementing IoT technologies in transport, the first goal is traffic jam problem-solving. Traffic management Internet of Things solutions allows you to increase the capacity of city streets without actually adding new roads and play a vital role in the transition to smart cities. They optimize traffic flow and keep traffic safe using sensors, cameras, routers, and cellular technologies to dynamically adjust controls such as traffic lights, highway exit counters, expressway bus lanes, highway bulletin boards, and even speed limits. For example, Ford has introduced Traffic Jam Assist, a mode that allows the vehicle to match the car’s speed in front of a traffic jam. This speed matching makes it easier for drivers and smoothes traffic flows, and reduces congestion patterns. In the future, these systems will be able to directly control vehicles when needed – for example, breaking them at intersections to prevent collisions with pedestrians or other vehicles.

Application for traffic jams using IoT technology include:

Smart parking. IoT sensors in parking lots can transmit information about accessible parking spaces in real-time.

IoT traffic light. Sensors installed in strategic locations can use IoT technology to collect data on congestion, moving vehicles away from these locations. IoT Big Data solutions can analyze this information, determine alternative routes, and improve traffic signaling to reduce congestion. Roadside lights can also work by the weather sensors installed on them. With a light control system, roadside lighting will change with the onset of day or night and when weather conditions require it.

Smart ambulance. Video surveillance systems and road sensors can help locate incidents and report them to the nearest emergency room.

Intelligent traffic management with the help of IoT technology

IoT traffic management systems are automated systems that incorporate the latest advances in IoT technology. Each IoT platform has its own set of unique features and mechanisms. Specifically, for Smart traffic management system, it offers:

Data warehouse and data access.

Communication, coordination, and device control capabilities.

Deploy cloud and software for connected devices.

And all the necessary infrastructure for all of the above.

IoT in Smart traffic management system: 

Some of the key functionalities that cities acquire through these systems include the following:

Traffic jam detection. With cameras and sensors constantly monitoring intersections, technicians can monitor all streets in a town from the city’s traffic control center.

Adaptive control. Congestion detection leads to dynamic systems adjustments, including traffic lights, entry alarms, and express bus lanes.

Interaction with connected cars. Smart Traffic Management can connect roadside devices to them to enable intelligent vehicles to communicate directly with intersections.

Emergency routing. A critical application of a smart traffic system using IoT is providing priority access to police, fire, and ambulance services.

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IoT Meeting ROI Goals

Organizations are leveraging the benefits of IoT (Internet of Things) in many different ways today   including efficiency, safety, monitoring of remote and hard-to-access equipment, and the ability to be more competitive, more responsive to customers, and to ensure processes are in regulatory compliance.

Many IoT projects begin with inquiries into automated processes that can save costs and make things happen faster, better and more accurately. In the case of processes that lead to revenue – or hold up revenue, when they are not completed correctly or on time – balance sheets are at stake. This means the project can show fast ROI by reconfiguring and improving slow or inaccurate manual procedures.

One of most prevalent types of applications in the Industrial IoT (IIoT) is the ability to remotely monitor assets out in the field, which would otherwise require manual visits by personnel. When you have dozens or even thousands of pieces of machinery distributed widely over farmlands or oil fields, or at the tops of city streetlights, getting to them can be impractical and enormously costly.

IoT focuses on the “things” themselves – sensors, machines, equipment and almost everything else in the physical world. However, the greatest value for businesses comes from combining the data generated by these devices with other business or operational data to uncover insights and even establish predictive models. Such models can be used to improve maintenance scheduling or provide just-in-time service before a product fails. For example, many industrial firms managing connected equipment receive remote diagnostics reports with information about faults or upcoming service needs based on interpretations of the data. This is the incredible promise of IoT, enabling the ability to link data from the smart, networked “things” with other business data.

Organizations can also combine data from devices with other customer data to gain new insights and identify new signals of potential churn or propensity to purchase. These insights can lead to a deeper understanding of and greater responsiveness to customers. And once again, an enterprise can leverage on the real-time data and insights in predictive models.

Metrics that can be used to measure the value of an IoT solution include

- Increased revenue

- Reduced downtime

- Lower operation costs

- A rise in productivity

- Streamlined business processes

- Quicker time to market for new products and services

- Better customer service response times

- Improved visibility

- Better understanding of equipment use

- Better understanding of new behavior

 For example, using smart buttons, customers are able to quickly and simply order food or services. Supplies can be restocked and companies can even offer new services, making all transactions simple while improving customer service response times, a measurable ROI metric. Using smart buttons, customers are able to register their satisfaction level quickly and simply. A customized, connected dashboard allows you to view the results in real time. The use of smart buttons and the streamlining for business processes meets the measurable ROI metrics, from lower operation costs to a rise in productivity.

Organizations that want to implement an IoT solution can work with Asiczen to assess the current state of the business and the costs involved, that is, the cost of the current problems, and how Asiczen-enabled IoT solutions can help to reduce those costs.

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The Challenges of Using IoT Pet Tracking

Modern pet owners have the luxury of choosing between a range of devices that help to track or detect pets that escape from home. GPS for pets is a widely-used option, but there is also a growing concern among many pet owners that GPS comes with a price.

GPS pet trackers emit radiation

All GPS devices emit radiofrequency radiation, such as phones, tablets, and wearable tech. Pet GPS trackers also fall into this category. (You’re probably familiar with the term EMFs–electric & magnetic fields–which is another name for radiation.)

Radiofrequency radiation is considered non-ionizing radiation, and it hasn’t yet been definitively proven to damage DNA or cause cancer. Non-ionizing radiation from mobile phones and similar devices falls in the middle of the electromagnetic spectrum. In contrast, ionizing radiation can damage DNA and cause cancer. It is associated with UV rays, X-rays, and radiation therapies used for cancer treatment.  There have been a number of scientific studies on the relationship between radiofrequency radiation and cancer risk, but the results are inconsistent. Still, many individuals are concerned that putting GPS pet trackers on their dogs could put their beloved pets at risk for cancer, DNA damage, or other long-term health issues. 

The advantage of using GPS trackers for your pet is that you can track their every move. But that comes with a major risk for pet owners who are concerned about radiation exposure: in order to track your pet continually, you’ll have to leave the GPS device turned on at all times (except, of course, while it’s charging). That means continual exposure to EMFs.

Other disadvantages associated with GPS for pets include:

Expensive devices 

Cellular data plans for GPS tracking

Bulky, heavy size

Constant need for battery recharging 

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IoT IN HEALTHCARE INDUSTRY

Before the Internet of Things, patients’ interactions with doctors were limited to visits, and tele and text communications. There was no way doctors or hospitals could monitor patients’ health continuously and make recommendations accordingly. Internet of Things (IoT)-enabled devices have made remote monitoring in the healthcare sector possible, unleashing the potential to keep patients safe and healthy, and empowering physicians to deliver superlative care. It has also increased patient engagement and satisfaction as interactions with doctors have become easier and more efficient. Furthermore, remote monitoring of patient’s health helps in reducing the length of hospital stay and prevents readmissions. IoT also has a major impact on reducing healthcare costs significantly and improving treatment outcomes. IoT is undoubtedly transforming the healthcare industry by redefining the space of devices and people interaction in delivering healthcare solutions. IoT has applications in healthcare that benefit patients, families, physicians, hospitals and insurance companies.

IoT for Patients - Devices in the form of wearables like fitness bands and other wirelessly connected devices like blood pressure and heart rate monitoring cuffs, glucometer etc. give patients access to personalized attention. These devices can be tuned to remind calorie count, exercise check, appointments, blood pressure variations and much more. IoT has changed people’s lives, especially elderly patients, by enabling constant tracking of health conditions. This has a major impact on people living alone and their families. On any disturbance or changes in the routine activities of a person, alert mechanism sends signals to family members and concerned health providers.

IoT for Physicians - By using wearables and other home monitoring equipment embedded with IoT, physicians can keep track of patients’ health more effectively. They can track patients’ adherence to treatment plans or any need for immediate medical attention. IoT enables healthcare professionals to be more watchful and connect with the patients proactively. Data collected from IoT devices can help physicians identify the best treatment process for patients and reach the expected outcomes.

IoT for Hospitals - Apart from monitoring patients’ health, there are many other areas where IoT devices are very useful in hospitals. IoT devices tagged with sensors are used for tracking real time location of medical equipment like wheelchairs, defibrillators, nebulizers, oxygen pumps and other monitoring equipment. Deployment of medical staff at different locations can also be analyzed real time.

IoT for Health Insurance Companies – There are numerous opportunities for health insurers with IoT-connected intelligent devices. Insurance companies can leverage data captured through health monitoring devices for their underwriting and claims operations. This data will enable them to detect fraud claims and identify prospects for underwriting. IoT devices bring transparency between insurers and customers in the underwriting, pricing, claims handling, and risk assessment processes. In the light of IoT-captured data-driven decisions in all operation processes, customers will have adequate visibility into underlying thought behind every decision made and process outcomes.