SensibleVision Brings AI-Driven Mobile Face Authentication in India
SensibleVision which is a global developer for the purpose of Artificial Intelligence based biometric identification technologies, now today has announced that its innovative artificial intelligence (AI) driven face-authentication solution is now going to be available in India and can be used as part of Aadhaar and some of the more other security protocols.
SensibleVision technology is fundamentally different which is apart from just than other biometric tools, with its proprietary 3D technology enabling it to properly identify people regardless of skin tone, which has been a significant problem for many competitive technologies.
From a couple of years, SensibleVision has been innovating in the face authentication space and has received several of the seven patents in this field. Apart from just that other face recognition solutions, Sensible Vision uses true 3D depth sensing software to measure 10,000-15,000 depth data points. It has a created a virtually spoof proof authentication that works well in all the lighting conditions that exceeds other implementations currently on the market. It can be used in conjunction with existing 2D enrollment databases.
“We are delighted to make our innovative authentication solution available to the Indian market,” said George Brostoff, CEO and Co-Founder – Sensible Vision. “Fast, accurate face authentication in real world conditions dramatically increase the effectiveness of a wide range of applications from expanding access to financial services to improved delivery of social programs.”
SensibleVision’s extraordinary level of accuracy is achieved with techniques to measure faces in True 3D, using actual X, Y and Z coordinates. Unlike other solutions that are based on older 2D data or tested in academic settings, SensibleVision delivers fast and accurate results regardless of skin tone, gender, age or lightning conditions – criteria which have limited the effectiveness and accuracy of many of today’s biometric-based solutions.
If you like this article, then share your views in the comment below.