A: Applied Recognition’s Ver-ID products all utilize the company’s FaceLocate ™ algorithm, trained for over a decade to detect and recognize hundreds of thousands of faces. FaceLocate can achieve up to 99.99% accuracy. An application can be tuned to correctly authenticate a user against their registered faceprint 99.99% of the time. To better understand accuracy ratings and related factors read our blog post here: http://appliedrecognition.com/blog/accuracy
Actual changes in the user’s appearance from aging, tanning or weight loss or gain can also impact accuracy, but to a lesser extent than illumination.
Ver-ID uses state of the art anti-spoofing methods including liveness detection and multiple poses. These have been proven to be the most effective anti-spoofing options. For more information on anti-spoofing read our blog: http://appliedrecognition.com/blog/winks-blinks-smiles-and-poses-which-is-better-at-anti-spoofing
A: Ver-ID’s anti-spoofing protections are invisible to the user. Once the user registers their faceprint using multiple poses, Ver-ID uses the data from the multiple poses during authentication, but the process takes place in milliseconds as part of the user login, so although anti-spoofing measures are taking place, the user doesn’t experience any inconvenience.
A: Retina scans take about 15 seconds of concentrated stare, whereas face recognition happens in a fraction of a second which makes face recognition more convenient. Face recognition can be used in conjunction with a registered photo ID providing an additional level of security and authentication. And face recognition only requires a common device camera, found on millions of devices including tablets, PCs, phones, ATM’s, security systems, etc; fingerprint authentication requires a fingerprint scanner, not found on the majority of smartphones.
- A photo ID can be scanned and captured along with a real-time face authentication adding visible proof of identity. In this case the technology is confirming that the person in the faceprint matches the person in the photo ID.
- A faceprint can be matched against a stored photo ID authenticating the user against the stored photo providing digital proof of identity. In this case the authentication system is confirming the faceprint matches the photo ID.
- iOS ARM v7, ARM v7S, ARM 64. Ver-ID SDK can be added as a framework to any iOS project (9.1+)
- Android (ARM) – Android projects targeted at API level 14+ can import the Ver-ID SDK from our Maven repository.
Ver-ID Transactions is compliant with electronic signature legislation enacted by countries around the world. An ideal e-signature will create evidence equivalent to paper and ink. Ver-ID’s face and photo ID authenticated credentials make electronic signature stronger than paper and ink.