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mohdlarik · 19 days

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Curbing money laundering by technological solutions in the UAE

The United Arab Emirates (UAE) has emerged as a global monetary hub, attracting groups, buyers, and economic establishments from around the world. Several foreign investors across the world throng into various states of the UAE in different sectors, including real estate, e-commerce, renewables, healthcare, virtual currencies, tourism, etc. Foreign investors, mainly from South Asian countries (India and Pakistan), and a few European states are making investments in real estate for nationality, but their money is doubted as a haven to launder their wealth.

As the UAE’s economic area expands, it faces an increasing hazard of being exploited for cash laundering activities. As if technology, financial crimes also witnessed advancements in recent times, and money laundering is one of these, having multiple branches. Money laundering is the technique via which criminals cover the origins of illicit price ranges, making them seem legitimate. This now not only undermines the economic system but also poses great threats to national safety. The UAE’s strategic place, various economic systems, and sizeable alternate networks make it a capability target for cash launderers. Therefore, enforcing powerful anti-money laundering (AML) solutions is crucial to detecting, stopping, and mitigating these risks. AML measures are essential for preventing illicit economic activities, safeguarding the economy, and upholding the UAE’s recognition as a dependent monetary middle.

The UAE has made vast strides in strengthening its regulatory framework to fight cash laundering. The Central Bank of the UAE, alongside other regulatory bodies, has established complete suggestions and guidelines that monetary establishments need to adhere to. These rules mandate the implementation of AML regulations, which include consumer due diligence, transaction monitoring, and reporting of suspicious sports. Compliance with these rules isn't always the most effective prison requirement but is also an important aspect of maintaining the integrity of the economic system.

Artificial intelligence (AI) and device studying are playing a pivotal role in enhancing AML efforts. These technological mechanisms enable economic institutions to investigate sizable quantities of information in actual time, become aware of styles, and detect uncommon transactions that could suggest money laundering. By leveraging this advanced equipment, banks and financial establishments can live in advance of criminals who continuously evolve their strategies.

Effective AML efforts require collaboration between economic institutions, regulatory bodies, and law enforcement organizations. In the UAE, there may be a robust emphasis on fact-sharing and cooperation to fight cash laundering. The UAE Financial Intelligence Unit (FIU) performs a key role in collecting and reading monetary facts, ensuring that suspicious sports are promptly reported and investigated. This collaborative technique complements the effectiveness of AML measures and allows for the fast detection and prevention of illicit activities.

Recently, the UAE government issued a federal decree amending certain provisions of the federal decree on anti-money laundering, combating the financing of terrorism, and financing of illegal organizations. As part of the ongoing development of the legislative and legal framework, this decree seeks to enhance the legal structure that supports the efforts of the country’s relevant authorities in combating financial crimes. It also aims to strengthen the UAE's technical compliance with international recommendations and treaties on these matters.

The UAE’s worldwide financial popularity is a great asset that has to be protected. Money laundering sports can significantly damage this popularity, leading to a loss of investor self-assurance and capability sanctions from international regulatory bodies. By enforcing high-tech AML solutions, the UAE now not only safeguards its economic machine but also reinforces its dedication to transparency, accountability, and the guidelines of law. This, in turn, attracts greater international business and funding, contributing to the continued increase and stability of the economic system.

As cash laundering strategies become more sophisticated, the UAE has to continue to innovate and enhance its AML measures. This involves non-stop training and education for monetary experts, investment in the modern generation, and ongoing collaboration with global partners. By staying vigilant and proactive, the UAE can effectively combat money laundering and maintain its function as a leading international financial center.

In the end, anti-money laundering solutions are critical to the UAE’s banking and financial machine. They play a crucial role in preventing illicit activities, ensuring regulatory compliance, and shielding the US’s economic popularity. As the UAE continues to develop and appeal to global interest, the significance of robust AML measures cannot be overstated.

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dpathucgconforences · 4 months

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Pathology Scanners: Revolutionizing Diagnostic Pathology-12DIGIPATH UCGCongress in Dubai, UAE, from December 17-19, 2024

Introduction

In recent years, pathology scanners have transformed the field of diagnostic pathology, providing unprecedented accuracy, efficiency, and accessibility. This blog explores the technology behind pathology scanners, their benefits, and their impact on modern healthcare.

Pathology, the cornerstone of medical diagnostics, has seen significant advancements over the years. Among these advancements, pathology scanners have emerged as a revolutionary technology, transforming the landscape of diagnostic pathology. This blog delves into the world of pathology scanners, exploring their functionalities, benefits, and the future they promise in the realm of healthcare.

What are Pathology Scanners?

Pathology scanners, also known as digital pathology scanners, are sophisticated devices designed to create high-resolution digital images of glass slides containing tissue samples. These images can then be analyzed, stored, and shared digitally, enabling a range of applications from routine diagnostics to advanced research.

How Do Pathology Scanners Work?

Pathology scanners function by using high-resolution cameras to capture images of tissue slides at various magnifications. Here’s a simplified process of how they work:

Slide Preparation: Tissue samples are fixed, stained, and mounted on glass slides.

Scanning: The glass slide is placed into the scanner, where a high-resolution camera captures detailed images of the tissue.

Image Processing: The captured images are processed to enhance clarity and detail, often creating a whole slide image (WSI) that can be zoomed in and out like a Google Maps interface.

Storage and Management: The digital images are stored in databases, making them easily accessible for future reference, analysis, and sharing.

Benefits of Pathology Scanners

Enhanced Diagnostic Accuracy: Digital images can be analyzed using advanced algorithms and artificial intelligence, aiding in more accurate and early diagnosis of diseases.

Remote Consultations: Pathology scanners facilitate telepath ology, allowing pathologists to share slides and consult with experts worldwide without the need to physically transfer glass slides.

Improved Workflow Efficiency: Digital slides can be accessed and analysed much faster than traditional methods, reducing turnaround times for diagnosis.

Better Education and Training: Digital pathology provides a valuable resource for medical education, enabling students to access a vast library of digital slides and learn from real cases.

Data Preservation and Accessibility: Digital slides do not degrade over time, ensuring that the quality of diagnostic materials is preserved indefinitely. They can also be easily retrieved from digital archives.

The Role of Artificial Intelligence in Pathology Scanners

Artificial intelligence (AI) plays a pivotal role in enhancing the capabilities of pathology scanners. AI algorithms can assist in:

Automated Image Analysis: Identifying and quantifying features in tissue samples, such as cancer cells, with high precision.

Pattern Recognition: Detecting patterns and anomalies that may be indicative of specific diseases.

Predictive Analytics: Using historical data to predict disease outcomes and patient prognosis.

Challenges and Future Prospects

Despite their numerous advantages, pathology scanners face several challenges:

High Initial Costs: The acquisition and maintenance of pathology scanners can be expensive, posing a barrier for smaller healthcare facilities.

Integration with Existing Systems: Ensuring compatibility with current laboratory information systems (LIS) and electronic health records (EHR) can be complex.

Data Security: Protecting sensitive patient data in digital format requires robust cybersecurity measures.

Looking ahead, the future of pathology scanners is promising. Continuous advancements in AI and machine learning are expected to further enhance diagnostic accuracy and efficiency. Additionally, the integration of pathology scanners with other medical imaging technologies could pave the way for more comprehensive and holistic diagnostic approaches.

Conclusion

Pathology scanners

Are at the forefront of a digital revolution in diagnostic pathology. By providing high-resolution digital images of tissue samples, these devices offer numerous benefits, including improved diagnostic accuracy, remote consultation capabilities, and enhanced workflow efficiency. As technology continues to evolve, pathology scanners will undoubtedly play a crucial role in advancing medical diagnostics and patient care.

References

"Digital Pathology – The Journey from a Microscope to Digital Pathology." Digital Pathology Place.

"AI in Digital Pathology: What Does the Future Hold?" The Pathologist.

"The Benefits and Challenges of Digital Pathology Adoption." Modern Healthcare.

Feel free to share your thoughts or ask questions in the comments below!

Important Information:

Conference Name: 12th World Digital Pathology & AI UCGCongress Short Name: 12DIGIPATH2024 Dates: December 17-19, 2024 Venue: Dubai, UAE Email: [email protected] Visit: https://digitalpathology.ucgconferences.com/ Call for Papers:https://digitalpathology.ucgconferences.com/submit-abstract/https://digitalpathology.ucgconferences.com/registration/ Register here: https://digitalpathology.ucgconferences.com/registration/ Call Us: +12073070027WhatsApp Us: +442033222718

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logituae · 1 year

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Reasons To Use Facial Recognition In The Workplace

Biometric facial recognition technology has gained popularity in recent years due to its accuracy and security. Despite privacy concerns, it is becoming increasingly popular in the workplace. This blog post discusses five compelling reasons to consider implementing biometric facial recognition technology in your workplace.

How Facial Recognition Works

Facial recognition is a way of recognizing a human face using technology. A facial recognition system uses biometrics to identify facial features from a photograph or video. It compares the information to a record of the person to find the right match.

Facial recognition technology typically involves four interrelated phases or steps:

Face detection: The first step is to detect faces using the Haar Cascade classifier, a machine learning algorithm trained for face detection.

Face alignment: Detect and align faces to reduce variations in facial features due to pose, expression, and lighting, ensuring a standardized position and orientation.

Face measurement and extraction: The face features and measurements are extracted, including eye distance, nose shape, and jawline contours, to create a mathematical model of the face.

Recognition and verification: The final step involves comparing the mathematical face model with a database of known faces to find a match. If a match is found, the system can verify the identity or take other actions.

Facial recognition algorithms typically perform the following main tasks:

> Detects faces in images, videos, or live streams.

> Compute a mathematical model of the face image.

> Compare the mathematical model with a database of known faces to find a match.

Benefits of Facial Recognition in the Workplace

Facial recognition technology has gained popularity in recent years, and it has several applications in the workplace. Here are some reasons why companies use facial recognition technology:

Enhanced Security Measures: Facial recognition technology improves workplace safety by allowing authorized staff to access restricted areas. When integrated with access control systems, it reduces identity theft, data breaches, and other crimes, enhancing workplace security.

Streamlined Attendance and Time Tracking: Facial recognition technology enables faster and more accurate tracking of employee arrival and departure, ensuring safety and preventing unwanted entry. It also helps businesses verify employees’ identities and assess their access to the building. This technology also helps businesses verify employees’ identities and ensure a secure work environment.

Enhanced Data Security and Privacy: Facial recognition technology prevents theft and misuse of ID cards and passwords, offering a range of products and services for secure, convenient office environments. It standardizes intra-office authentication, ensuring a more secure and convenient environment.

Increased Convenience: Facial recognition technology streamlines clocking-in, leave, attendance, and payroll, improving efficiency and comfort in various functions.

Streamlined HR Processes: Facial recognition technology automates administrative procedures, reduces HR professionals’ workload, and streamlines employee onboarding and performance assessments, freeing up time for strategic initiatives, increasing efficiency and productivity.

Facial recognition technology offers benefits but has drawbacks, including lower accuracy rates for identifying dark skin complexions and potential bias. Employers often misinterpret workers’ facial expressions, making it crucial to choose the best facial recognition system provider in Dubai, UAE.

How Can Logit Me Fzco Help?

Logit Me Fzco, a leading provider of facial recognition systems for offices in Dubai, UAE, provides the No. 1 trusted facial verification solution that is a strong defense against stolen identities and identity theft. The AI-powered face recognition technology provides workplaces with flexible integration options, 100% automated verification, an increased conversion rate, and legal compliance.

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informationalblogs · 1 year

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Reasons To Use Facial Recognition In The Workplace

How Facial Recognition Works

Facial recognition technology typically involves four interrelated phases or steps:

Face detection: The first step is to detect faces using the Haar Cascade classifier, a machine learning algorithm trained for face detection.

Face alignment: Detect and align faces to reduce variations in facial features due to pose, expression, and lighting, ensuring a standardized position and orientation.

Face measurement and extraction: The face features and measurements are extracted, including eye distance, nose shape, and jawline contours, to create a mathematical model of the face.

Facial recognition algorithms typically perform the following main tasks:

> Detects faces in images, videos, or live streams.

> Compute a mathematical model of the face image.

> Compare the mathematical model with a database of known faces to find a match.

Benefits of Facial Recognition in the Workplace

Facial recognition technology has gained popularity in recent years, and it has several applications in the workplace. Here are some reasons why companies use facial recognition technology:

Increased Convenience: Facial recognition technology streamlines clocking-in, leave, attendance, and payroll, improving efficiency and comfort in various functions.

How Can Logit Me Fzco Help?

Want to know more about how face verification technology helps businesses keep scammers away? Contact us at + 971 (0) 56 657 1595 or [email protected].

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furiousstarfishphilosopher · 4 years

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In recent years, our world has become a lot smaller and more become much more accessible. This is mainly due to advances in transportation technologies, such as aviation, becoming more affordable. This allows airlines to set up more travel routes than ever before.

With new airline routes and air fares becoming more accessible, people now travel the world more freely and more regularly. However, this can also pose risks to countries and their people as travelers can introduce new illnesses and viruses into the countries they visit. In most cases, these illnesses and viruses cause a high body temperature, or a fever, which can be an indicator that a person is unwell and may need treatment.

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waaaiz · 3 years

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Enterprise Video Market Research Report

Global Enterprise Video Market

The GMI Research forecasts that the Enterprise Video Market is witnessing an upsurge in demand over the forecast period. This is mainly due to the increasing implementation by organizations to enhance collaboration between internal and external stakeholders, maximize customer engagement, and enrich career development.

Request a FREE Sample of Enterprise Video Market.

Introduction of the Enterprise Video Market

Enterprise video is a collection of technologies that allow businesses and users to deliver and consume video from various sources more efficiently. It includes solutions to view broadcast programming, streaming video, and video on demand.

Key Players of the Global Enterprise Video Market:

· IBM Corporation

· Cisco Systems

· Plantronics, Inc.

· Microsoft

· RingCentral, Inc.

· Adobe

· Amazon Web Services, Inc.

· Avaya Inc.

· LogMeIn, Inc.

· Zoom Video Communications, Inc.

Enterprise Video Market Dynamics (including market size, share, trends, forecast, growth, forecast, and industry analysis)

Enterprise Video Market is forecasted to experience a robust demand in the near future. This is primarily because of the ongoing technological innovations like the application of blockchain technology and AI to enhance content quality and the surging endorsement of face recognition technology in video conferencing to detect faces to fit an individual on the receiver's screen. The emergence of 4G and 5G technology that implements Voice over Internet Protocol (VoIP) technology is proliferating the market growth. Additionally, the aggravating need to improve operational effectiveness and productivity of employees will contribute to the market growth. The noise in between videos leads to misunderstanding or consumes more time, and this lack of strong communication can hamper employee productivity. All these problems have persuaded employers to opt for enterprise video platforms. Major companies such as Microsoft Corporation and Cisco Systems are increasingly emphasizing video conferencing systems to automate calls over the VoIP network. Cisco Systems, in 2018, launched the Cisco Webex Edge Connect, which uses Cisco Systems Unified Communications Manager to automate calls through the VoIP network.

Moreover, several prominent players are increasingly adopting Bring Your own Device (BYOD) and Carry Your Own Device (CYOD) as they offer flexibility to communicate from any part of the world. The development of Content Delivery Networks (CDNs) has facilitated faster delivery of multimedia internet content and allowed companies to better video streaming. However, the inflated costs and extensive infrastructure needed by the enterprise video solutions have restricted its usage. Also, many enterprise video solutions do not offer interoperability across devices and platforms, which creates several complexities and thereby hampers the Enterprise Video Market size.

Enterprise Video Market Segmentation:

Segmentation by Type

· Video Conferencing

· Video Content Management

· Webcasting

Segmentation by End-Use Industry

· BFSI

· Government

· Retail

· Healthcare

· IT and Telecom

· Others

Segmentation by Deployment

· On-Premise

· Cloud

Segmentation by Region:

· North America

o United States of America

o Canada

· Asia Pacific

o China

o Japan

o India

o Rest of APAC

· Europe

o United Kingdom

o Germany

o France

o Spain

o Rest of Europe

· RoW

o Brazil

o South Africa

o Saudi Arabia

o UAE

o Rest of the world (remaining countries of the LAMEA region)

About GMI Research

GMI Research is a market research and consulting company that offers business sights and market research reports for every enterprise, including small & medium enterprises and large organizations. Our research team helps the clients to understand the impact of market dynamics such as market size, share, drivers, growth opportunities, and other aspects. We have a team of analysts and industry experts who conduct market intelligence studies to ensure relevant and fact-based research across a wide range of sectors such as FMCG, Technology, Energy, Healthcare, and other industries. We collect relevant information about the industry using both internal and external databases. Our main focus is to keep our clients abridged of the emerging opportunities and challenges in a wide range of industries. We provide step-by-step assistance to our client through strategic and consulting services to reach a managerial and actionable decision. Featured in the ‘Top 20 Most Promising Market Research Consultants’ list of Silicon India Magazine in 2018, we at GMI Research are always looking forward to helping businesses stay ahead of the curve.

Media Contact Company Name: GMI RESEARCH Contact Person: Sarah Nash Email: [email protected] Phone: Europe – +353 1 442 8820; US – +1 860 881 2270 Address: Dublin, Ireland Website: www.gmiresearch.com

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tektron · 4 years

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TEKTRON Non-Contact Human Temperature Detection Solution is based on the “Face Recognition + Infrared / Visible dual-sensor system”, powered by our industry-leading Deep Learning AI platform.

Based on the artificial intelligence platform, TEKTRON the infrared temperature measurement results are bundled and calibrated with the human face through the dual-light deep fusion technology and an alarm is triggered when a suspected fever person is found.

Using Tektron’s proprietary light-weight, low power consumption, high performance CNN algorithm model – Shuffle Net has the capability to empower high accuracy AI algorithm model on edge analytics devices. The system can be deployed in a very short period of time at public places, realizing temperature screening in a non-contact manner through our AI technology Face recognition system is made on face recognition algorithm and infrared temperature measurement algorithm. Its functions include living face recognition function, temperature display function, ultrasonic dynamic distance measurement function, and fever temperature alarm function. Forming a replacement “face comparison + temperature detection” bio metric testing solution, which meets a spread of application scenarios. The device opens the interface to the customer for secondary development, which helps to satisfy different needs and to fight for the Corona-Virus and various fever and disease!

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hemanth1607-blog · 5 years

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What is AI and How AI will Impact Cybersecurity

Considering that the electronic revolution began, there have been many violations of data, identity theft, and lack of money. Cyber-attacks are now very widespread and indiscriminate, as they can affect any person, organization, company. Therefore, most of us must understand the requirement for growing cybersecurity.

Fortunately, there were also technical improvements with significant effects on cybersecurity. Artificial Intelligence (AI) is just one of these techniques and tools that are significant game-changers in the field of cybersecurity. In this guide, we study the present and future impact of bird flu on cybersecurity.

Artificial Intelligence?

AI is a general term that includes several capabilities. Artificial intelligence intends to imitate human intelligence for decision making and problem determination. Usually, pre-code a set of commands that allows a machine to perform work. The machine depends only on that particular code to create results, and it will create the same effect, no matter how often you run the code.

Artificial intelligence is not just a buzzword. At present, it is widely used in all kinds of businesses. Education, health, automation and customer support are just some of the many companies where International has triggered advancing by leaps and bounds.

Current Impact of AI and Cybersecurity

There are a variety of methods that artificial intelligence makes a difference as far as cyber is worried. They understand:

Internet threat detection

Organizations must have the ability to discover cyber-attacks well in advance to foil whatever cybercriminals might try to achieve. Amnesty International has proven to be extremely helpful regarding the risk detection of cyber.

Most of the companies demonstrate that they cannot detect violations of effort without using AI technology. AI systems can identify unusual patterns, including the excessive use of resources (CPU, memory, etc.), information transfers strange, strange connections, incorrect connections, and strange visitors, etc.

Vulnerability Management Prevention and Control

After identifying potential risks, Artificial Intelligence systems classify them instantly in varying degrees of hardness, i.e., low, moderate, substantial or critical. What is remarkable about the AI is that it can detect and monitor thousands of phishing resources and remediate much faster than people could.

AI methods are active in the prevention of vulnerability and management control. It can eliminate the dangers of cyber defines it by dropping packets, blocking IP addresses, and a stay of proceedings, etc.

Password Protection and Authentication

According to a Pew Research report, about 24% of Internet users keep their passwords in an electronic document or notice on the device. When that allows users to get their login information easily, it provides cybercriminals simply time to get a record of these details and get their accounts.

Another area that AI was influenced is that the area of biometrics, which is the science of verification of individuality. AI biometrics provides a solution giving validation features that are difficult to imitate.

AI biometrics can be used for authentication by evaluating the two types of characteristics to recognize an individual physical and behavioral. Behavioral characteristics stem from the identification of behaviors such as the tone of your voice, your input mode, and your error price. The physical characteristics derive quantifiable characteristics and distinctive as your face, the iris of the eye, fingerprints or DNA.

The fund market is just one of those companies that know the positive effect of biometrics AI. This technology is gaining momentum, now we have a lot of banks, to fund programs and ATMs requiring facial recognition or voice.

The negative implications of AI on cybersecurity

We must also recognize that further progress in AI may give rise to new types of computer threats. For example, cybercriminals can use AI to hack systems much faster and more efficiently than humans can. This is one reason why cybersecurity is important.

As we learn the really important capabilities of artificial intelligence, we must also recognize that further progress in AI can contribute to new forms of cyber threats. For example, cybercriminals can use AI to hack systems much faster and more effectively than individuals can. Only one of the reasons why cybersecurity is important.

The main implications of AI in the landscape of cybersecurity include the amplification of these dangers, the variant of the nature of current risks and the evolution of new threats. Modeling procedures behavior of artificial intelligence, therefore, must be constant to stop AI to be out-dated or obsolete.

Future impact of AI and cybersecurity

AI technology will continue to have a significant effect on many companies around the world. Since the AI technology is always integrated into the devices we use every day, the participation of Amnesty International in our daily lifestyle continues to grow.

For cybersecurity, the main focus is to find ways in which this technology provides faster analysis and reduction of computer threats. It will be even better to provide effective responses to cyber-attacks, proactively replicating the best defence mechanisms deployed by human analysts.

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menakart · 6 years

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Battery life, The phone that lasts all day Leave your battery packs and cords at home — the 4000mAh battery gets you through your day on a single charge. Keep going in this always-on, mobile world with Galaxy Note9's all day battery.

Wireless charging, Power up without being tied down When your battery's drained, quick and convenient wireless charging gets your Galaxy Note9 back to 100% without needing to plug it in. Advanced wireless charging technology makes this Galaxy essential powerful yet simple to use. Just set your phone down to start charging.

Wi-Fi and LTE, Remarkably fast downloads and uploads Get speed when you need it most. Transfer data on the run, stream videos wherever you are, and download and upload files without interruption. With integrated gigabit LTE and Wi-Fi capabilities and a 4x4 MIMO antenna, the Galaxy Note9 allows you to tap into extraordinary network speeds up to 1.2Gbps.

The cutting-edge processor engineered for speed Discover what you can achieve on the Galaxy Note9. Whether gaming, streaming, or multitasking, the 10nm processor and an impressive 8GB RAM combine to deliver high performance that makes you take notice. And with access to lightning fast network speeds, things get done in a flash.

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Optimized for gaming, When the game's moving fast, your phone keeps up Galaxy Note9's innovative water-carbon cooling system diffuses heat for efficient cooling. While the Smart Performance Adjuster automatically adjusts gaming performance for an optimal experience. Together they make sure your game is smooth, avoiding lag. Plus, specialized notifications pop up without pausing the game. Or you can turn the alerts off entirely.

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Samsung Knox, Protection from the hardware up The moment you turn on your phone, your data is protected by Samsung Knox. Unlike software-only mobile security, Knox is fused into both hardware and software at the manufacturing stage — with multiple layers of overlapping defense and security mechanisms that protect your Galaxy Note9 against intrusion, malware, and malicious threats.

Samsung Knox icon Knox ContainerSE for AndroidTIMASecure Boot & Trusted BootHardware Root of Trust Galaxy Note9 laying flat seen from the left, with a simulated animation of the screen floating upwards and the five layers of KNOX being revealed

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ehteshamp · 5 years

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Blockchain as a Service Market 2018 Production Value, Gross Margin Analysis, Development Status, Business Strategy and Industry Segments Poised for Strong Growth in Future 2023

Market Highlights

Blockchain is a revolutionary technology that has created a major impact on the financial sector and digital identification in North America and Europe. With increasing globalization, transactions have become more cumbersome. For any monetary transaction, the involved parties in the transactions need to have mutual trust— a buyer and a seller. For the same, a traditional sales process includes a load of paperwork, an intermediary, and high cost. However, in Asia-Pacific countries, the companies are eagerly shifting their preference towards simplifying their business processes while eliminating middlemen. Blockchain-as-a-service holds the potential to transform the government sector in resolving the challenges associated with data transactions faced in government operations.

Furthermore, the key retail firms in countries such as the US, the UK, Germany, France, and India are collaborating with blockchain service providers to develop a platform that uses blockchain technology to track the origins of raw materials across global supply chains. Moreover, the government of the Netherlands has launched more than 25 blockchain trials. Dutch banks, energy companies, pension funds, and the Port of Rotterdam are all testing the digital ledger technology providing the Netherlands with high opportunity in different sectors and industries.

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Competitive Analysis:

MRFR recognizes the key players in the global Blockchain-as-a-Service market as – Cognizant, Infosys Limited, Capgemini SE, NTT Data Corporation, Huawei Technologies Co. Ltd., HPE, Baidu, Inc., Tata Consultancy Services Limited, KPMG, Wipro Limited, IBM Corporation, Microsoft Corporation, SAP SE, Amazon Web Services, Oracle Corporation, Accenture PLC, and Deloitte Touche Tohmatsu Limited.

The prominent players keep innovating and investing in research and development to present a cost-effective product portfolio. There has been recent mergers and acquisitions among the key players, a strategy the business entities leverage to strengthen their reach to the customers.

Segmentation:

By platform, the current market is dominated by the Ethereum platform segment. Hyperledger platform is expected to grow at a higher rate in the forecast period.

By components, the services segment accounts for a larger market share and is expected to grow at a higher CAGR in the coming years.

By cloud, the public cloud segment accounts for the largest market share; it is expected to grow at the highest rate during the forecast period.

By organization-size, the market is dominated by large enterprises, however, the SMEs segment is expected to grow at a higher rate.

By application, the payment management application accounts for the largest market share and identity management application is expected to grow at the highest rate.

By vertical, the BFSI vertical accounts for the largest market share and the retail and e-commerce segment is expected to adopt BaaS solutions and are expected to register the highest CAGR during the forecast period.

Regional Analysis:

The global market for Blockchain-as-Service is estimated to grow at a significant rate during the forecast period from 2018 to 2024. The geographical analysis of Blockchain-as-Service market has been studied for North America (the US, Canada, Mexico), Europe (the UK, Germany, France, Spain, Italy, the rest of Europe), Asia-Pacific (China, Japan, India, Singapore, Australia, the rest of Asia-Pacific) and the rest of the world (the Middle East and Africa and South America).

Among these, the North America region dominates the market due to the presence of key market players such as IBM Corporation, Microsoft Corporation, Amazon Web Services, Oracle Corporation, HPE and others offering cloud-based blockchain-as-a-service solutions which are accelerating the market growth in this region. Countries such as the US, Canada, and Mexico are expected to witness growth in the adoption of BaaS to streamline critical business processes such as payments, supply chain, transportation, logistics, and auditing. North America region is expected to experience a surge in various trends such as 5G, transactive energy, and micro-grids during the next five years. In 2018, RealChain and North America Blockchain Association (NABA), a non-profit organization, collaborated to promote the technology to identify fake high-end luxury products using blockchain and AI-based image recognition.

Europe accounted for the second-largest market share owing to government support in prioritizing the adoption of blockchain for the future of financial transactions and data storage across the European countries. Increasing adoption of BaaS in BFSI and retail & e-commerce sector in countries such as the UK, Germany, France, Sweden, the Netherlands, and Switzerland drives the market growth in this region. Rise in the spending in research projects by the European Union in the field of blockchain technology is also another factor which is expected to drive the market in the coming years. In April 2018, 22 countries of the European Union declared a European Blockchain Partnership (EBP) to establish European Blockchain Services Infrastructure (EBSI) to support the delivery in cross-border digital public services including a high standard of security and privacy. Blockchain companies from the European Economic Area (EEA) will be able to conduct business through the fully-licensed, German Solaris Bank. Huge adoption of digital transactions creates an opportunity for having a nationalized blockchain-enabled registered system promoting market growth.

Asia-Pacific region accounted for the third-largest market share; it is expected to grow at a higher rate during the forecast period due to large scale adoption of BaaS solutions in the financial service sector that has also witnessed the highest rate of blockchain technology testing. Furthermore, significant investments by venture capitalists for research and development of this technology and increasing number of blockchain start-ups in the region also contribute to the blockchain-as-a-service market. Key market players have already established their customer base in countries such as China, Japan, India, South Korea, Australia, New Zealand, Singapore, Malaysia, and the Phillippines generating revenue for the BaaS market in this region. For instance, in 2017, State Bank of India (SBI) a government-owned bank partnered with BankChain and Intel to implement blockchain solutions that run on Hyperledger Sawtooth and Intel Software Guard Extensions (Intel SGX). The solution aims at increasing the efficiency of financial transactions without having to compromise on data confidentiality and transaction security.

South America and the Middle East & Africa region presents immense growth opportunities for key market players due to the growing need among organizations to improve their efficiency, agility, security, and integrity is expected to increase investments in blockchain technology. Various enterprises in countries such as the UAE, Bahrain, Saudi Arabia, Oman, South Africa, Nigeria, Brazil, Colombia, and Chile are rapidly adopting BaaS solutions with strong support from the government promoting the market growth. In April 2018, the UAE Government launched the Emirates Blockchain Strategy 2021, that aims at capitalizing on the blockchain technology to transform 50% of government transactions into the blockchain platform by 2021, promising the market growth in this region.

Browse Complete Report @ https://www.marketresearchfuture.com/reports/blockchain-service-market-7942

List of Tables

Table1 Global Blockchain-As-A-Service Market: By, Country, 2019–2024

Table2 North America: Blockchain-As-A-Service Market By, Country, 2019–2024

Table3 Europe Blockchain-As-A-Service Market: By, Country, 2019–2024

Table4 Asia-Pacific Blockchain-As-A-Service Market: By, Country, 2019–2024

Table5 Middle East & Africa Blockchain-As-A-Service Market: By, Country, 2019–2024

Table6 South America Blockchain-As-A-Service Market: By, Country, 2019–2024

Table7 North America: Blockchain-As-A-Service Market By, Country, 2019–2024

Table8 North America: Blockchain-As-A-Service Market By, Platform, 2019–2024

Table9 North America: Blockchain-As-A-Service Market By, Component, 2019–2024

Table10 North America: Blockchain-As-A-Service Market By, Cloud, 2019–2024

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.

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logituae · 1 year

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biofunmy · 5 years

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IBM, Huawei, And Hikvision Are Battling To Sell Facial Recognition Technology In Dubai

BuzzFeed News; Getty Images

DUBAI, United Arab Emirates — As a backlash against facial recognition technology grows in the US, a host of Chinese and American firms are competing to supply Dubai’s police force with biometric surveillance and artificial intelligence products.

This month San Francisco banned police from using facial recognition altogether, and other bills in the US aim to do the same. Amazon faced pressure last week from activist shareholders over sales of its Rekognition system to US government authorities. And Rep. Alexandria Ocasio-Cortez expressed concern that face recognition could be used as a form of social control.

But even as the technology comes under more scrutiny in the United States, tech giants such as IBM, and China’s Hikvision and Huawei, are marketing biometric surveillance systems in the UAE, where citizens have fewer options to push back. The UAE has used cellphone hacking software to spy on hundreds of dissidents, journalists, and suspected criminals, and has invested heavily in surveillance technology, according to human rights groups and international media reports.

“It is absolutely terrifying,” said Sarah Aoun, a digital rights technologist who works with human rights activists, including in the Middle East, on privacy and security. “In a place like Dubai, where there is not much freedom of expression and people are being jailed for what they say, when you introduce artificial intelligence, it’s used by systems of power to reinforce their control over the population. They are weaponizing this technology.”

“They are weaponizing this technology.”

Police in Dubai have begun rolling out an ambitious program, dubbed Oyoon, the Arabic word for “eyes,” that will implement facial recognition and analysis driven by artificial intelligence across the city. Police say the program will reduce crime as well as traffic accidents. An analysis of hundreds of government procurement and regulatory documents make clear the scope of Dubai’s high-tech policing ambitions, showing the police have sought video analytics platforms meant to record and analyze people’s faces, voices, behavior, and cars in the time it takes to do a Google search. And a review of dozens of company marketing materials and interviews with officials show global tech giants are eager to provide the police with the technology they are seeking.

Facial recognition is being taken up by police departments and security forces all over the world, from China and Ecuador to the US and UK. Biometric surveillance systems have swept up the faces, voices, and personal traits of millions of people into government databases in countries across the world with little to no transparency or regulatory oversight.

It has sparked an outcry from civil rights advocates who say the technology’s unchecked use in public spaces presents a grave threat to individual privacy and could exacerbate the most abusive practices of police forces, from racial discrimination to arbitrary detention.

At a recent government-organized conference on artificial intelligence in Dubai, representatives from technology companies including Huawei, which the Trump administration recently put on a trade blacklist as a threat to national security, China’s Hikvision, and IBM said they saw the UAE and other countries in the Persian Gulf as an exciting market to sell their video analysis platforms, which they say can do everything from analyzing the behavior of groups to automatically blacklisting individuals based on their faces.

Other governments in the Persian Gulf, such as Bahrain and Saudi Arabia, are also using cellphone hacking and other high-tech surveillance measures to monitor and intimidate dissidents, including exiles. The UAE meanwhile has poured money into developing its surveillance capabilities.

“In looking at the way they’re using spyware, they are more aggressive about becoming a surveillance power,” said Bill Marczak, a postdoctoral researcher at the University of California, Berkeley, and a research fellow at Citizen Lab who is one of the foremost analysts of surveillance systems in the Persian Gulf. “They’re not only targeting people in the UAE but they’re also using spyware beyond their borders to conduct operations in other countries.”

Megha Rajagopalan / BuzzFeed News

A still from a demonstration video at the AI conference in Dubai.

The police have said little about the specific kinds of technologies that are being used in the Oyoon program. BuzzFeed News reviewed procurement records that show the police have sought face and voice recognition technology since as early as mid-2016, including products like the Vectra M3, a program marketed toward skincare professionals that aims to create a 3D model of a person’s face, and NeoFace Reveal, a software made by the Japanese company NEC that says it matches faces from photographs and crime scene videos to preexisting databases of images. The police also sought a voice recognition program called Batvox, described as a “new public security weapon” by its manufacturer, Massachusetts-based Nuance.

The Oyoon program, which was unveiled last January, aims to bring thousands of video feeds from cameras used by government authorities throughout Dubai into a central command center, according to local news reports and people familiar with the program. The command center uses artificial intelligence and face recognition to identify security threats. “[Oyoon] security system employs artificial intelligence to watch Dubai around the clock!” proclaims a graphic on a PowerPoint slide in a presentation on the UAE’s artificial intelligence strategy given by an adviser to the UAE government.

Police in Dubai have boasted the program has already led to the arrest of more than 300 people.

Studies have shown racial bias baked into leading facial recognition platforms, raising questions about misidentification of suspects. In the UAE and elsewhere, there have been no independent audits of these platforms for accuracy or freedom from bias.

“The application of artificial intelligence to CCTV systems opens a Pandora’s Box of uses and misuses,” said Sam Samuels, a former police officer and consultant on CCTV systems in Dubai. “At the end of the day it will be a human being who has to validate the information generated by the system.”

While facial recognition has proved divisive in the US, it is in China that its use has been particularly controversial. The Chinese government has come under fire internationally for large-scale surveillance of ethnic minorities. Hikvision, the world’s largest supplier of surveillance products, already supplies Dubai — as well as cities from London to Shanghai — with thousands of CCTV cameras. It has also outfitted mosques and internment camps with face recognition cameras in China’s far west — a region where Muslim minorities are under unprecedented surveillance and where upward of a million people have disappeared into the camps. But at the AI conference in Dubai, Robert Wang, an executive for Hikvision in the Middle East, did not mention the company’s work in Xinjiang. Instead, he set up China’s approach to surveillance and security as an example for the audience of UAE government officials and corporate executives.

“The challenge for us now is not that we no longer have enough video. The problem is that we have too many videos.”

China, he said, is one of the safest countries in the world, saying it needs relatively few police officers per capita.

He said the reason is the 250 million surveillance cameras the country’s domestic security authority has installed throughout the country.

“This kind of massive data provides for us all of the evidence, and all of the clues,” Wang said. “The challenge for us now is not that we no longer have enough video. The problem is that we have too many videos.”

BuzzFeed News spoke to several former detainees, prisoners, and human rights advocates who focus on the UAE. They said the widespread use of face recognition in Dubai is likely to lead to misuse and could do serious damage to privacy rights.

“This is good technology if it’s used in the right way,” said Khaled Ahmad, a computer engineer, prisoners’ rights campaigner, and former detainee in the UAE. “But with the UAE government, they arrest people just for tweeting, for publishing on Facebook, just for speaking about freedom and human rights. It’s good technology if it’s used against criminals, but not if you use it to cover people’s mouths.”

The Oyoon program is being rolled out in cooperation with several UAE government ministries, including the State Security Agency, according to the Dubai police. In a sign of how seriously Dubai’s leaders are taking the program, Dubai’s Crown Prince Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum visited a local police station in a district where facial recognition–equipped cameras were already thought to be in place last October.

The police also sought programs to help with video analytics, extracting deleted data from computers, recognizing license plates, and breaking into cellphones, procurement records showed.

But the true power of video analytics lies in not any one of these functions, but in the profiles it enables law enforcement to build of individuals when many sources of data are put together.

Dubai police did not reply to repeated requests for comment on the Oyoon program by the time of publication.

Hikvision and Huawei declined to comment on the statements in this article.

A spokesperson for IBM said the company has “robust processes in place to ensure potential client engagements are consistent with our values, as well as US and local laws.”

Megha Rajagopalan / BuzzFeed News

Facial recognition has been around for more than a decade. One of its earliest known uses for law enforcement was in Tampa, Florida, in 2001. The technology remains problematic and has faced questions about everything from its ability to distinguish between nonwhite faces to its overall accuracy, but it is now being widely used by law enforcement agencies to build profiles of individuals in new ways.

File storage costs have become significantly cheaper over the past few years, making it much easier for users to store video. And algorithms that adjust to compensate for real-world variations in people’s appearances, as well as new technology that makes it easy to slice videos frame by frame, have made facial recognition and other biometric surveillance programs cheaper and more effective, said Os Keyes, a PhD student at the University of Washington who is researching the history of facial recognition.

One thing that’s changed is the speed at which sophisticated computer programs quickly search and analyze thousands of hours of camera footage. A camera in a shopping mall, for instance, can capture many different angles of your face over time, enabling a computer to model the way your head looks from different angles and making it easier for police to spot you.

“What they’ve come up with is algorithms that, instead of comparing two photos of you, take a whole sequence of photos of you and use it to construct a 3D model of your head, which they can then rotate to the angle of a photo they already have,” Keyes said. “If you’re taking a video, you can just get 10 frames of a person and wait for one frame where they look up and don’t have a baseball cap in the way.”

And now video analytics programs can search footage for combinations of people’s traits. An official from BriefCam, an Israeli firm that is owned by Japan’s Canon and has a tech partnership with HP Enterprise, demonstrated this at the AI conference in Dubai, showing a screen with a search bar that pulled up dozens of women who had worn red dresses with midlength sleeves in a shopping mall.

“The main use case is security,” the BriefCam official said, adding that BriefCam would be happy for the opportunity to work with the UAE security apparatus.

Stephanie Weagle, chief marketing officer for BriefCam, said in a statement that biometric technology has “significant public safety benefits” including identifying suspects and finding missing children. “The expectation is that technology designed for public safety is used in accordance with applicable laws and to uphold civil rights,” she said.

China’s Huawei displayed a data analysis platform labeled FusionInsight that could quickly comb through thousands of hours of footage for faces and license plates. A company official said the platform had the ability to blacklist individuals. When asked about this, Huawei declined to comment.

Microsoft displayed a video analytics platform that claims to detect the face, age, and emotional state of people seen on camera, as well as the size of crowds, though company officials did not refer to applications in law enforcement. Asked whether the platform is being used in the UAE, a spokesperson for Microsoft pointed BuzzFeed News to a blog post by the company’s president calling for governments to regulate facial recognition technology.

To illustrate the prowess of Hikvision’s technology, Wang, the company executive, showed a six-minute film shot in the style of a primetime cop drama. In the film, a team of Chinese police officers, whose voices had been dubbed in American-accented English, use the company’s suite of products to track down a jewel thief wearing a black ski mask. The police eventually find the suspect using footage of a small black tattoo on his wrist, matching images of his license plate–less car, searching for people who frequently appeared near the jewelry shop in the weeks past, and directing cameras in public spaces to find him by using images of his face. The man later tries to hide from cameras by wearing a baseball cap, but it doesn’t work.

“Add him to the criminal database and track him down,” the lead police officer barks.

At the end of the film, Wang told the audience the surveillance technology, and the way it could work together, was all real — “not science fiction,” he said.

“This is not a system that one manufacturer can build alone,” he added. “I’m glad to be here today if users and partners are interested. We would like to be open and to cooperate.”

Chinese companies like Hikvision, which have benefited from Chinese government programs promoting the development of homegrown artificial intelligence technologies and from being able to test their tech on the Chinese public, have become leading players in facial recognition. Hong Kong–based SenseTime, the world’s most valuable AI startup, told BuzzFeed News it is setting up an office in Dubai — the company’s first outside Asia. Discussions between Smart Dubai, the city’s “smart city” authority, and SenseTime about implementation of its facial recognition products are progressing, according to people with knowledge of the matter. Smart Dubai said it met with SenseTime in Shanghai last year to identify possibilities for working together. Asked about the discussions, SenseTime said it could not disclose “commercially sensitive information.”

Hong Kong–based SenseTime, the world’s most valuable AI startup, told BuzzFeed News it is setting up an office in Dubai — the company’s first outside Asia.

George Huang, head of SenseTime’s international business group, said at the conference that mining data from social media could help provide information for public security purposes.

The data helps SenseTime and other AI companies around the world train algorithms to manage public safety, he said. Data like this, he added, is crucial for smart cities.

A spokesperson for SenseTime said the company is “committed to fair and responsible applications of AI technology. In addition to complying with local laws and regulations in the markets we operate in, we also have internal processes to safeguard our technology to ensure it is being used in a fair and responsible manner.”

Beyond recognizing individuals, video analytics platforms have the ability to alert law enforcement authorities to gatherings of people in real time. IBM, Huawei, and other companies displayed platforms that could automatically measure both crowd sizes and characteristics — for example, flagging a certain article of clothing, whether someone was walking in a certain direction, or whether someone was lingering for too long. It’s easy to imagine uses for this kind of technology outside policing — determining whether everyone on a dangerous construction site is wearing a hard hat, for instance, or automatically flagging an injured person who has keeled over. But video analytics platforms like these can also easily be used by security services to quickly crush protests and other peaceful gatherings. A representative for IBM at the conference was quick to tout the company’s PowerAI Vision platform’s utility for law enforcement, saying the company would like to sell it to police and security services in the UAE. A spokesperson for IBM noted the platform could not recognize individual faces, but only label “objects” in a video. Demonstrations of the product show labels on both objects and human beings.

“Watching the traffic of people, we can prevent crimes and terrorism.”

Huang promoted SenseTime’s crowd analysis software as key to managing the density of crowds. It can automatically count the number of people present and analyze the level of safety, he said, flagging “abnormal behavior,” including too many people gathered at once. “Watching the traffic of people, we can prevent crimes and terrorism,” he said.

“We can understand the time, the location, the method of the crime, the moving habits and area of activity of the suspect,” he added. “That allows the city to invest more efficiently in fighting criminals.”

A demo of SenseTime’s product showed a crowd with color-coded circles that appeared around people’s bodies, when they loitered too long, for instance, or when “chaos” happened, referring to disorder.

The extent to which Dubai’s security services and law enforcement already use facial recognition cameras — as well as complementary tech like gait recognition, car recognition, and data analysis — is not known, though analysts said it is likely widely in use. Requirements published by Dubai’s regulator for the security industry specify that private video surveillance systems must be connected to a centralized system called VideoGuard, which allows Dubai police system access.

“Every single conference center, every single hotel, every single road today has a camera. That is true of the UAE, it’s true in the US, it’s true in China and everywhere,” Omar Al Olama, UAE minister of state for artificial intelligence, told a Gulf News reporter in May. “We have no ambition to do this for the sake of surveillance. We’re going to do it if there is a way for us to become the safest city on earth.”

Dubai police have purchased technology for license plate detection, which developed much earlier than facial recognition, for several years, according to procurement records. And as part of the Oyoon program, Dubai has placed facial recognition cameras in at least one city neighborhood called Al Muraqqabat. Located in eastern Dubai, it’s a relatively dense residential area that’s also home to shopping malls and cinemas. Industry analysts said it is likely that face recognition cameras and other biometric surveillance systems are already in wider use in the UAE, including in Dubai and Abu Dhabi, but that authorities have not yet made it public.

AFP Contributor / AFP / Getty Images

A police officer walks through a security tunnel at a technology exhibition at the Dubai World Trade Centre, October 2017.

The UAE, with a population of about 9.5 million people, has among the highest rates of political prisoners per capita in the world, according to scholar Kristian Coates Ulrichsen. In the years since the Arab Spring uprisings swept across the Middle East, the UAE has invested in surveillance technology, which it has used to spy on both activists and dissenters within its own borders, as well as conduct espionage operations abroad. Reuters reported in January that the UAE retained US operatives to hack into the iPhones of hundreds of activists, political leaders, and suspected terrorists.

“They focus on preventative surveillance,” said Joe Odell, a campaigner at the International Campaign for Freedom in the UAE. “It’s about control to prevent street mobilizations through establishing a wide-reaching surveillance state, where they can nip anything in the bud before it even happens. They’ve spent millions of pounds on that.”

Human rights activists say torture is common in the prison system. Several former UAE prisoners interviewed by BuzzFeed News, who had been jailed or detained over allegations ranging from leaking information to defaming the country, said they had faced abuses and torture in prison, including beatings, electric shocks, and sleep deprivation. They also said they had their eyes scanned, their fingerprints taken, and their devices confiscated — treatment that prisoners in countries including the US also face. Asked about these allegations, Dubai police said the issue was not within their jurisdiction.

Ahmad, the Palestinian computer engineer, did technical support for a firm controlled by a senior Emirati government official before being detained without explanation in Abu Dhabi for months. He said he was blindfolded and taken to a secret prison whose location he still does not know. During interrogations about his work — police seemed to believe he had access to sensitive information — security agents put him in an electric chair, turned it on for 20 seconds at a time, and threw cold water on his face to revive him when he passed out from the pain.

Ahmad said one of the first things the police did was confiscate his cellphone and computer. They demanded the passwords, and he gave them incorrect ones, hoping to stall for time. His interrogators later told him they had broken into the devices anyway. He believed them, he said — one day an officer began joking with him about a woman friend whose pictures were on his phone. She was sexy, the officer said.

Five months after he was first detained, Ahmad was blindfolded and taken by car back to the airport in Abu Dhabi. He was deported to Lebanon without any explanation as to why he was detained in the first place. The police even apologized and told him he was innocent, Ahmad said.

“They’ve imprisoned all those people or intimidated and harassed them into keeping quiet.”

Ahmad eventually moved to Sweden, where he now lives; after he became a Swedish citizen, he began writing about his ordeal in prison. His former employer sent him a letter, which he shared with BuzzFeed News, stating that he could be prosecuted under the UAE’s cybercrime law for allegedly stealing confidential information from the company. Though he now lives abroad and says he has nothing to hide, the idea that he’s being surveilled through his devices is something he thinks about all the time.

Last year, Ahmed Mansoor, who is perhaps the country’s best known human rights activist, was sentenced to 10 years in prison and fined about $270,000 over posts he made on Facebook and Twitter that a court found had damaged the UAE’s reputation abroad as well as its “social harmony and unity.” People in the UAE can be arrested under the country’s cybercrime law, which bans defamatory statements on social media.

Mansoor, who had called attention to human rights abuses throughout the Middle East on his Twitter account, had been under heavy surveillance by his government and had been targeted with spyware on his devices.

“Ahmed was very open about what he did and why he did it, but he was very conscious of being under surveillance. He would meet people in hotel lobbies, and he’d leave his phone at home,” said Nicholas McGeehan, a researcher who formerly worked for Human Rights Watch in the region. “He assumed he’d be under surveillance anyway. You couldn’t make a phone call, couldn’t send an email — everything was funneled through one or two interlocutors who were willing to take a chance.”

“They’ve imprisoned all those people or intimidated and harassed them into keeping quiet,” he added.

Controls on social media and the perception that authorities may be spying on cellphones has already chilled discourse, say free speech advocates and former UAE prisoners. Rights groups said they worried the growing presence of surveillance technology in physical spaces could make things even harder.

“The government has shown a willingness and a desire to go after peaceful opposition,” said Citizen Lab’s Marczak, who has worked with Mansoor. “If they have powerful tools to track your movements outside your house, and then they have spyware to hack the devices inside your house, then there’s pretty much nowhere that you’re not being watched.” ●

CORRECTION

May. 29, 2019, at 14:37 PM

Alexandria Ocasio-Cortez’s name was misspelled in an earlier version of this post.

Sahred From Source link World News

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#IFTTT #WordPress

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furiousstarfishphilosopher · 4 years

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waaaiz · 4 years

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Gesture Recognition and Touchless Sensing Market Research Report

Growth Opportunities in the global gesture recognition and touchless sensing market look promising over the next six years. The growing conversion of information into digital format in various sectors, including healthcare, consumer electronics, and the automotive industry, and the increasing need for connectivity in the automotive industry to improve customer satisfaction are the key factors driving the growth of global gesture recognition and touchless sensing market.

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Gesture Recognition and Touchless Sensing Market’s leading Manufacturers:

· Microsoft Corporation

· Google LLC

· Apple Inc.

· Microchip Technology Inc.

· Sony Depthsensing Solutions, SA/NV.

· Infineon Technologies AG

· OmniVision Technologies Inc.

· Irisguard

· Cognitec Systems GmbH

· GestureTek

Gesture Recognition and Touchless Sensing Market Dynamics (including market size, share, trends, forecast, growth, forecast, and industry analysis)

Key Drivers

The growing conversion of information into digital format in various sectors, including healthcare, consumer electronics, and automotive industry, and the increasing need for connectivity in the automotive industry to improve customer satisfaction and lower technical complexity are the primary factors surging the growth of the global gesture recognition and touchless sensing market size. Furthermore, the introduction of several advanced technologies such as Virtual Reality (VR), Artificial Intelligence (AI), and Machine Learning (ML) with gesture controls in numerous sectors, including healthcare, industrial automation, gaming, and other sectors, is another factor augmenting the growth of the market. The strong demand for the touchless sensor in comparison to touch-enabled sensors is opening new doors for the growth of the global gesture recognition and touchless sensing market. The increasing penetration of smart devices like smart speakers, smart light, tablets, smartphones, and biometrics devices among the consumers is another factor that will positively influence the market's demand. On the other hand, the major factors restraining the growth of the market include the growing cost of touchless sensor-based products and the energy usage by gesture-enabled products.

Regional Drivers

Based on the region, Asia-pacific is anticipated to increase at a higher CAGR during the forecast period. This is attributed to the rising demand for consumer electronics like smart TVs, tablets, and smartphones. The major economies are Japan, China, and India, which have the highest adoption rate of gesture recognition and touchless sensing enabled products. In addition to this, the increasing deployment of virtual reality (VR) in gaming and entertainment is further anticipated to stimulate the growth of the market.

Gesture Recognition and Touchless Sensing Market Segmentation:

Segmentation by Technology:

· Touch-Based Gesture Recognition

o Multi-Touch System

o Motion Gesture

· Touchless Gesture Recognition

o Capacitive/Electric Field

o Infrared Array

o Ultrasonic Technology

o 2D Camera-Based

o 3D Vision Technologies

Segmentation by Type:

· Online Gesture Recognition

· Offline Gesture Recognition

Segmentation by Technology:

· RFID Technology

· Camera-Based Technology

· Sensors

· Voice Assistance

· Others

Segmentation by Product:

· Touchless Sanitary Equipment

o Touchless Faucets

o Touchless Soap Dispensers

o Touchless Paper Towel Dispensers

o Touchless Trash Cans

o Touchless Hand Dryers

· Touchless Biometric Equipment

o Touchless Fingerprint Recognition

o Iris Recognition

o Face Recognition System

o Voice Recognition

o Others

Segmentation by Industry:

· Consumer Electronics

· Healthcare

· Automotive

· Others

Segmentation by Region:

· North America

o United States of America

o Canada

· Asia Pacific

o China

o Japan

o India

o Rest of APAC

· Europe

o United Kingdom

o Germany

o France

o Spain

o Rest of Europe

· RoW

o Brazil

o South Africa

o Saudi Arabia

o UAE

o Rest of the world (remaining countries of the LAMEA region)

About GMI Research

GMI Research is a market research and consulting company that provides syndicated research reports, consulting services, and customized market research reports. Our reports are based on market intelligence studies to ensure relevant and fact-based research across numerous sectors, including healthcare, automotive, information technology & communication, FMCG, and other industries. GMI Research’s deep understanding related to the business environment helps us in generating objective strategic insights. Our research teams consisting of seasoned analysts and researchers have hands-on experience in various regions, including Asia-pacific, Europe, North America, and the Rest of the World. The market research report offers in-depth analysis, which contains refined forecasts, a bird's eye view of the competitive landscape, factors impacting the market growth, and several other market insights to aid companies in making strategic decisions. Featured in the ‘Top 20 Most Promising Market Research Consultants’ list of Silicon India Magazine in 2018, we at GMI Research are always looking forward to help our clients to stay ahead of the curve.

#Gesture Recognition and Touchless Sensing Market #gmiresearch

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