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At 18.1% CAGR, Facial Recognition Market Size Expected to Reach USD 11604.5 Million by 2027 Says Brandessence Market Research

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The COVID-19 pandemic has shown a positive impact on the growth of facial recognition market. During COVID-19 pandemic, growing concern for sanitation the majority of the organizations is switching toward facial recognition system as a sterile choice to control the spread of infection. The combination of artificial intelligence (AI), then again, is offering a successful solution by joining both facial recognition innovations alongside temperature detection. Moreover, with AI and infrared thermography, facial recognition frameworks are performing mask detection also. The interest for facial recognition systems has been expanded in both the private and government areas.

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Increasing importance of the surveillance industry, growing investment in facial recognition technologies by the government and defense sector and rising technological advancements across business verticals are some of the major driving factors contributing to the growth of Global Facial Recognition Market.

Facial recognition is a method of confirming or identifying a person’s character utilizing their face. Facial recognition system can be utilized to distinguish individuals in photographs, recordings, or in real-time. Facial recognition is a classification of biometric security. Different types of biometric software incorporate fingerprint recognition, voice recognition, and eye retina or iris recognition. The innovation is generally utilized for security and law authorization; however there is an expanding interest in different spaces of utilization. Facial recognition frameworks make use of computer algorithms to choose out explicit, one of kind details a couple of individuals’ face. Distance between eyes or state of the jaw, are then changed over into a numerical representation and compared with information on different faces gathered during a facial recognition database. Commonly, facial recognition doesn’t depend on a gigantic data set of photographs to decide a person’s personality, it basically identifies and remembers one individual as the sole proprietor of the device, while restricting admittance to other people.

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Market share of facial recognition companiesSome of the key players for global facial recognition market are Safran SA, NEC Corporation, Gemalto, Cognitec Systems, Aware Inc., Daon Inc., FaceFirst Inc., Key Lemon Ltd., Ayonix Corporation, Face++ and others.

News: Hanvon Developed Facial Recognition that Works with Masks to Combat Coronavirus

On March 9th, 2020; Hanwang Technology developed a facial recognition system that can recognize individuals wearing masks. Facial recognition systems for surveillance and installments have been seriously impeded by the face mask which has gotten universally worn as assurance against the Covid flare-up in China. SenseTime claimed to have created facial biometric innovation that can identify individuals wearing face masks. The organization offers a solitary channel solution like for access control, and a multi-channel framework for networked observation cameras. The innovation can likewise be incorporated with a thermometer to identify fever.

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Global Facial Recognition Market Segmentation:

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By Technology:

  • 2D Recognition
  • 3D Recognition
  • Thermal Recognition

By Component:

  • Facial Recognition Software
  • Analytics
  • Others

By Vertical:

  • Media & Entertainment
  • Retail & E-commerce
  • Telecom & IT
  • Automobile & Transportation
  • Government
  • Healthcare
  • Others

Increasing Importance of the Surveillance Industry, Growing Investment in Facial Recognition Technologies by the Government and Defense Sector and Rising Technological Advancement across Business Verticals Drive the Market Growth

The major factor drives the growth of global facial recognition market is increasing significance of the surveillance industry. The increasing adoption of advanced video surveillance frameworks like 360 security cameras, CCTV, open air PTZ cameras, thermal security cameras, and others by the end-user to improve safety and security are increasing the demand for face recognition. Video surveillance systems are significantly utilized in applications such as crime prevention, traffic management and industrial processes monitoring. The expanding interest for video surveillance systems at air terminals, homes, public travel vehicles, business workplaces, and stockrooms, among others is probably going to drive the market interest. For example; in January 2020, the public authority of Moscow has carried out live face recognition cameras to give security to the residents. These cameras are given by NtechLab Company to help the police force look for suspects on a live camera.

In addition, another major factor for the growth of global facial recognition market is growing investment in facial recognition technologies by the government and defense sector. Government associations are spending huge amounts on the deployment of these arrangements across various government applications, like military and defense, homeland security, and law enforcement. This has addressed various criminal examinations, accordingly working with different divisions. This has helped in the fast identification of offenders, accordingly solving various criminal examinations. For instance; as indicated by Comparitech, the quantity of CCTV cameras in China ranges from 200 million to 626 million by 2020. Facial recognition advances have been sent by means of country security, government and local law authorization offices, and other security organizations across the globe.

Furthermore, rising technological advancements across business verticals also drive the global facial recognition market. For instance; in April 2020, Microsoft Azure refreshed its facial recognition arrangement. The new version has an improved-on User Interface (UI) and addresses client feedback without any problem. It likewise helps gadgets with getting quicker and updated information, which can be sent rapidly with further developed IoT Central application work process. However, high implementation cost and lack of accuracy of facial recognition technology may hamper the global facial recognition market growth. In spite of that, increasing adoption of cloude-based facial recognition technology can provide various opportunities for the further growth of the global facial recognition market over the forecast period.

North America is Excepted to Dominate the Global Facial Recognition Market

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North America is anticipated to dominate the global face recognition market due to increasing adoption of facial recognition technology in different departments such as motherland defense, justice, security, and rising infrastructural development and presence of key players. For example; MorphoTrust, an auxiliary of IDEMIA, is perhaps the most noticeable sellers of biometry items and services in the U.S. It has created facial recognition systems for state and government law requirement offices, state DMVs, state divisions, and air terminals. Rising infrastructural development also drive the market in this region. For instance; as indicated by the U.S. Office of Management and Budget and the Homeland Security Research Corporation, DHS Homeland Security subsidizing represents around 20-21 percent of all out U.S. Homeland Security Homeland Defense subsidizing, while generally 40% of the DHS spending finances civil, non-security programs like USCG search and rescue activities and customs capacities.

Asia-Pacific is predicted to be the fastest growing region over the forecast period due to wide use of face recognition technology, increasing adoption of surveillance technologies and rising government initiatives. For instance; in March 2020India supported the deployment of its Automated Facial Recognition System (AFRS) the country over by mid 2021, permitting facial biometrics to be separated from video and CCTV which will be coordinated with the picture of people’s photographs whose identity data are housed in a data set by the National Crime Records Bureau under the domain of the Minister of State for Home Affairs. As per Comparitech, in China, the quantity of CCTV cameras goes from 200 million to 626 million by 2020.

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Artificial Intelligence

HUAWEI CONNECT 2024 | Huawei Unveils the Brand-New Xinghe Intelligent Fabric Solution, Powering the AI Era

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SHANGHAI, Sept. 21, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, over 300 industry leaders, experts, and scholars gathered for the data center network session themed “Xinghe Intelligent Fabric, Powering the AI Era.” The event featured discussions on the evolution and technological advancements of data center networks. During the session, Arthur Wang, President of Data Center Network Domain at Huawei’s Data Communication Product Line, introduced the newly upgraded Xinghe Intelligent Fabric solution. This cutting-edge solution aims to establish a data center network characterized by one map for intelligent operations and maintenance (O&M), one network for diverse computing, and one platform for simplified deployment, providing a robust network infrastructure to support enterprises’ digital and intelligent transformations.

In his keynote speech, Arthur Wang outlined the emerging trends in data center network development. He emphasized that in the AI era, data center networks require both a “brilliant brain” and “resilient bones.” The newly launched Xinghe Intelligent Fabric solution is designed to deliver a powerful network infrastructure tailored for the AI era, featuring:
One Map for Intelligent O&M: Zero Management ConcernsHuawei’s exclusive network digital map enables rapid cross-data center and cross-vendor fault identification within minutes. Additionally, the NetMaster network large model facilitates AI-driven O&M, eliminating manual intervention and ensuring zero management concerns.
One Network for Diverse Computing: Zero Service InterruptionsThe Xinghe Intelligent Fabric supports various application scenarios, including intelligent computing, general-purpose computing, and storage. The innovative Network Scale Load Balancing (NSLB) algorithm increases network throughput to 95% and boosts AI training efficiency by over 10%. With the exclusive iReliable three-level fast switchover capability, it achieves sub-millisecond switchover, guaranteeing zero service interruptions.
One Platform for Simplified Deployment: Zero Configuration ErrorsBy employing digital twins to simulate networks in advance and verify configurations post-deployment, the solution ensures 100% accuracy in network changes. By harnessing network-security convergence capabilities, AI creates an intelligent security matrix to analyze millions of security policies, achieving zero configuration errors.
Looking ahead, Huawei will continue to collaborate with industry partners to enhance research and innovation in data center networks, promote intelligent upgrades, and create greater value for the industry.
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Artificial Intelligence

Huawei Launches All-New Xinghe Intelligent Campus with Full Upgrades, Maximizing Enterprises’ Intelligent Productivity

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SHANGHAI, Sept. 21, 2024 /PRNewswire/ — During HUAWEI CONNECT 2024, the Xinghe Intelligent Campus session was successfully held, attracting more than 200 industry pioneers, experts, and scholars from around the world to explore campus network trends and technological innovations. Also at the event, Huawei unveiled its all-new Xinghe Intelligent Campus Solution that stands out for full upgrades to wireless, application, and operations & maintenance (O&M) experience.

Shawn Zhao, President of the Campus Network Domain, Huawei’s Data Communication Product Line, said, “As video conferencing, AI terminals, and AI applications become more widespread, the campus network access density has increased threefold, and the demand for bandwidth has grown tenfold. In this case, users place new requirements on the assurance for AI applications and audio/video services while expecting more intelligent O&M.”
To meet these needs, Huawei launched its all-new Xinghe Intelligent Campus Solution with full upgrades. Specifically, this solution upgrades wireless experience in performance, roaming, and IoT convergence. It also leverages X-Scheduler (an experience scheduling engine) to upgrade application experience, while drawing on AI-assisted decision-making and a tidal prediction algorithm to upgrade O&M experience. These help customers build an industry-leading digital infrastructure and facilitate the digital and intelligent transformation of enterprises.
In addition, the solution provides end-to-end security assurance. On the wireless side, the innovative Wi-Fi Shield technology radically prevents packet eavesdropping on the air interface. On the wired side, the full-link MACsec capabilities from switches to APs ensure secure campus network data transmission since the very beginning.
Also at the session, leading analyst firms, customers, and partners in various industries shared their unique insights, best practices, and successful cases. Key speakers include Sian Morgan, Research Director of Dell’Oro Group; Dr. Haitham S. Hamsa, Professor of Information Technology, Cairo University; Shang Qun, Assistant to the Director of the Computing Center, Peking University; Sun Pan, Director of Infrastructure Operations Dept, System Digitalization Dept, FAW Group; Connee Zhang, CEO of CypressTel. Their valuable practices will provide a unique reference for the digital and intelligent transformation of enterprises across industries.
Looking ahead, Huawei believes that the Xinghe Intelligent Campus Solution will become the preferred choice for global enterprises’ digital and intelligent transformation to reap more benefits.
For more information about Huawei’s Xinghe Intelligent Campus Solution, visit https://e.huawei.com/en/solutions/enterprise-network/campus-network.
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Artificial Intelligence

Huawei Launches Over 20 All-New Xinghe Intelligent Network Offerings to Amplify Industrial Intelligence

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SHANGHAI, Sept. 21, 2024 /PRNewswire/ — During HUAWEI CONNECT 2024, Leon Wang, President of Huawei’s Data Communication Product Line, announced more than 20 all-new Xinghe Intelligent Network offerings globally at the summit themed “Xinghe Intelligent Network, Amplify Industrial Intelligence”. These purpose-built offerings contribute to an AI network ecosystem and help customers seize opportunities for intelligent development and maximize intelligent productivity.

With the development of AI technologies, the world is advancing from digital transformation to intelligent transformation. All industries are quickly adopting AI technologies to create new use cases, for example, self-driving cars, intelligent diagnosis and treatment, and intelligent train inspection. All of these are significantly improving the efficiency and experience of our work and daily lives.
The advent of the intelligent era is driving networks into intelligent ones. Huawei has been making joint efforts with partners to lead research and practices of intelligent networks. That’s why Huawei constantly upgrades its Xinghe Intelligent Network offerings to help customers grasp opportunities for intelligent development, build new intelligent network infrastructure, and maximize intelligent productivity in the intelligent era. Key highlights include the following:
Xinghe Intelligent Campus focuses on AI-enabled, experience-centric campus network construction, ensuring zero freezing for audio and video applications, zero degradation on services, and zero waiting for interactions.Xinghe Intelligent WAN introduces a wide range of intelligent technologies to intelligently schedule millions of flows and precisely optimize service experience.Xinghe Intelligent Fabric adopts the AI Turbo engine to improve network throughput, enhancing foundation model training efficiency.Xinghe Intelligent Network Security integrates AI technologies into network security detection, accurately and rapidly identifying threats.To support network solutions in various scenarios, Huawei released more than 20 featured offerings globally. Examples include the industry’s first 100 Tbps fixed-form Ethernet data center switch, the industry’s first 51.2 Tbps liquid-cooled fixed-form data center switch, the industry’s first AI router, high-quality 10 Gbps campus switches and Wi-Fi 7 APs, Intelligent SASE Branch Security Solution, and the industry’s first IP Autonomous Driving Network Solution. All these offerings are designed to help customers with greater business returns.
As the intelligent era calls for intelligent networks, Huawei will continue to drive the development of intelligent networks and upgrade its Xinghe Intelligent Network products and solutions, ultimately helping global customers to stride towards the intelligent era and reap more benefits.
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