Streamlined registration & fast authentication ensures user acceptance; liveness detection prevents "spoofing".
Ideal for Time & Attendance applications where Ver-ID Person can be configured to run with multi-camera time clocks and no-PIN/no-badge use cases.
Ver-ID is selected by developers who understand the importance of choosing technology that ‘learns’ users, creating an ever-improving UX, and which can run standalone on mobile devices, anticipating the full breadth of use cases for biometrics across their organizations.
Offers a best-in-class accuracy curve, achieving the lowest false rejection rate for any target. Our SDK also makes it simple to adjust the balance between security and convenience.
Our proprietary randomized-pose methodology defeats spoofing without degrading the user experience. You can adjust sensitivity levels to the security needs of individual use case.
Our deep patent portfolio, uniquely experienced team, commitment to R&D and singular focus on face technology make Applied Recognition the easy choice when selecting a face recognition technology partner.
Our patented composite face signature architecture allows "proven-good" images to be added to a user's profile after registration, enabling ever-improving accuracy and tolerance to "appearance drift".
Ver-ID is available in versions for most common server and mobile platforms, enabling support for the broadest variety of use cases. ARI currently supports LINUX, Windows, iOS, Android and Cordova.
Ver-ID runs within the constraints of a mobile device, enabling use cases where server-only technologies can’t meet specs. As biometrics becomes routine for more processes, most organizations will require facerectech that can run standalone on mobile devices.
Straight-on pose with 3D human face geometry.
Landmarks move in 3D with a real person.
Spoof attempted with a printed image or mobile device. 2D geometry detected and halted! Even video spoofing attempts are thwarted by randomized head-rotation guidance.
HTML Code Creator