Toronto-based Applied Recognition is calling for participants in a beta trial of its Ver-ID facial recognition system.
Designed for Windows, the system uses a given device’s web camera to enable authentication based on facial recognition. And it’s highly accurate: At the end of August, Applied Recognition announced that it had attained a Cross-Over Error Rate of 0.2 percent in NIST testing, a key indicator of efficacy for facial recognition technology.
Now, Applied Recognition is calling on “the data security community, device access control professionals and any interested person” to test out the technology in the real world and provide feedback to help improve it, according to a statement announcing the trial. The company is looking for a thousand Windows users to participate, and will accept applications on a “first come” basis.
Commenting further on the trial, Applied Recognition co-CEO Don Waugh emphasized the solution’s enterprise and government applications in the wake of high-profile data breaches, asserting, “It’s past time that enterprises and governments step-up and take advantage of the tools that show that they’re taking data security seriously.”
Prospective participants can request an evaluation version by emailing email@example.com. Software kits will be sent to approved participants starting the week of October 9th.
October 2, 2017 – by Alex Perala