Facial recognition is a hot topic of 2020. Today, along with AI and IoT, facial recognition technology is also defining our millennium. Now, with the announcement of the iPhone X’s Face ID technology, facial recognition has become an even more popular topic. Moreover, it is regarded to be a faster and precious method of image analysis for human verification and authentication through an individual’s facial contour. The modern usage of face detection technology is for various purposes including – security, business intelligence, and digital marketing.
Today, companies are pitching facial recognition software as the future of everything from retail to policing. In the current era, a human face is not only used for social interactions but also extensively utilized to unlock various devices. Moreover, it utilizes the human face to act as a password for multiple devices employing biometric face recognition technology. The facial recognition system is gaining more popularity across industries ranging from healthcare, law enforcement, retail, hospitality to marketing.
The Covid-19 pandemic also paves way for more facial recognition systems, combined with other biometric techniques. As digitization and digitalization are accelerating in several areas due to the new working norms, all major businesses will witness an increasing usage of face recognition technologies.
5 Market Leaders in Facial Recognition Technology
NEC’s NeoFace® Thermal Express provides rapid, touchless physical access and hygienic thermal screening in demanding, high-throughput. NEC’s proven touchless technology and expertise support the ongoing mission of a new, safer, and hygienic experience. With over 50 years of successfully supporting a diverse range of U.S. federal missions, NEC offers proven touchless services and expertise to support a DX mission for federal agencies that will improve processes, deliver touchless experiences, and make interactions seamlessly safe.
One example of how NEC can help address post-Covid challenges is via secure access management solutions. Gaining physical access to public sector facilities in a contactless and hygienic manner is challenging.
Product highlights include:
- NeoFace® Express – frictionless identification system to simplify and enhance passengers’ experience while increasing security.
- NEC Enhanced Video Analytics (EVA) – biometric analytics technology allowing for instant detection, identification, and tracking of suspicious individuals in a crowd.
NEC’s award-winning solutions are backed by rigorous research and development including more than $2.6B invested in R&D annually.
One of the top leaders in facial recognition technology is Deep Vision AI. It is a computer vision software company that excels at facial recognition. It applies advanced computer vision technology to understand images and videos automatically, turning visual content into real-time analytics and valuable insights. With more than 500M existing cameras worldwide today, Deep Vision AI provides the ability to analyze camera streams through different AI-based software modules on a single platform, enabling users with real-time alerts and quick response times. Moreover, Deep Vision AI offers the best performance solution in the market supporting real-time processing at +15 streams per GPU.
To comply with the EU General Data Protection Regulation (GDPR) and other international data protection laws, Deep Vision AI applies significant measures to assure a transparent and secure process of the data involved within the provision of its services to customers and partners. Furthermore, Deep Vision AI is a certified partner for NVIDIA’s Metropolis, Dell Digital Cities, Amazon AWS, Microsoft, Red Hat, and others.
Rekognition is a cloud-based SaaS computer vision platform by Amazon. It is one of the top leaders in facial recognition technology. With this platform, one can identify objects, people, text, and activities in images and videos. It also provides highly accurate facial analysis and facial search capabilities that can be used to detect, analyze, and compare faces for a wide variety of user verification.
With Amazon Rekognition Custom Labels, organizations can identify the objects and scenes in images that are specific to their business needs. Furthermore, Amazon’s Custom Labels takes care of the heavy lifting of model development for organizations. People simply need to supply images of objects or scenes they want to identify, and the service handles the rest.
The FaceFirst software helps create safer communities and more secure transactions while providing great customer service. FaceFirst software is accurate, fast, scalable, and secure. It also offers plug-and-play solutions for physical security, identity authentication, access control and visitor analytics, and robust SDK/APIs for easy integration into any system.
As a leading provider of effective facial recognition systems, it benefits industries ranging from retail, transportation, event security to casinos, and other hospitality parallels. Furthermore, FaceFirst leverages AI to integrate with surveillance systems to prevent theft, fraud, and violence.
Cognitec is among the top market leaders in developing facial recognition technology and applications. Cognitec’s portfolio includes products for facial image database search, recorded video investigation, real-time video screening, and people analytics.
Cognitec’s FaceVACS Engine enables clients worldwide to develop new face recognition applications. It provides a clear and logical API for easy integration in other software programs. Cognitec provides the FaceVACS Engine through customized software development kits, with a set of functions and modules specific to each use case. Specific use cases include image quality check, verification for document issuance, and verification for access control.
Some of the key features are:
- Powerful face localization coupled with face tracking on images and video streams.
- Powerful matching algorithms for enrollment, verification, and identification.
- Accurate portrait characteristics check for gender, age, pose deviation, exposure, the closing of eyes, uniform lighting, face geometry, and more.
The future of facial recognition technology
The future of facial recognition technology is bright. The whole world is using this technology and reaping many benefits. Governments across the world are increasingly investing their resources in facial recognition technology. More retailers and banking systems are also adopting this technology to prevent fraud in debit/credit card purchases and payments, particularly digital. Moreover, universities and even healthcare are also planning to implement better facial recognition technology on their premises for greater management. In the long run, robots using facial recognition technology may also come into play.
A study published in June 2019 estimated that the current facial recognition market is estimated at $3.2 billion and is expected to grow to $7 billion in revenue by 2024 at a CAGR of 16%. In addition, forecasters opine that this technology is expected to grow at a formidable rate and will generate huge revenues in the coming years.