Get ready for neural networks in your pocket

This is a guest post by George Brostoff, CEO of SensibleVision. It is safe to say that AI has experienced a tremendous growth spurt in 2017. While some of the talk seems to border on marketing hype that has gotten way ahead of the actual functionality being delivered, there is no doubt that AI and machine learning capabilities are expanding across a wide range of use cases. From Google Home all the way up to that gaggle of Power 7

SensibleVision releases facial recognition security technology with liveness detection

SensibleVision has launched 3DVerify, which it calls the first facial-recognition security technology specifically designed to support simultaneous multi-factor face authentication on tablets and smartphones equipped with 3D cameras. The new advanced Depth/3D liveness solutions can detect videos, photos and masks, which are all the prominent methods that hackers currently use to exploit 2D cameras on mobile devices. “It’s no secret that every device maker is planning on including 3D cameras on their next generation of phones and tablets, and the

SensibleVision uses a simultaneous multifactor authentication process to eliminate photo and video spoofing

SensibleVision has introduced a facial recognition authentication solution based on 10 years of research and development that has generated six patents. According to a company statement, the “spoof-proof” solution cannot be fooled with photographs or video. “Secure and simple authentication on all devices is a priority for today’s users who do everything from banking to sharing confidential medical information on their phones, tablets and computers,” explains says George Brostoff, Co-founder and CEO of SensibleVision. “Our advanced approach leapfrogs current liveness

Sensible Vision launches fifth generation facial recognition system

Sensible Vision has announced the launch of its fifth generation FastAccess Anywhere facial recognition system. According to the company, this new iteration is up to 2.5 times faster at performing recognition, has a lower error rate and an enhanced photo rejection feature.  The company also says that new algorithm improvements have resulted in better recognition under varied and difficult lighting conditions – a common stumbling block for face recognition systems. “Our company’s goal is to make phones, tablets and PCs easy