Ever AI touts position as Western alternative for AI face recognition with high NIST score
Ever AI has achieved the highest accuracy score among U.S. companies participating in NIST’s Face Recognition Vendor Test (FRVT) 1:1 Ongoing, and tied for first globally in the Wild Images category, the company has announced.
A pair of algorithms from Ever AI are included in the test, and are listed in the NIST results as finishing second and third in both the Mughot and Wild Images categories. The company has also scored a world-best 99.85 percent accuracy in the University of Massachusetts’ Labeled Faces in the Wild (LFW) benchmark, as well as a score of 99.04 percent in the University of Washington MegaFace benchmark.
Ever AI says it beat out established industry players in the testing, which further establish its leadership in delivering highly accurate, secure, mission-critical face recognition. The company also says the results establish it as a leading Western challenger to Russian and Chinese AI facial recognition providers.
“This independent evaluation establishes us as the de facto leader of mission-critical face recognition in the US,” said Doug Aley, CEO of Ever AI. “Our flexible deployment options, accuracy at a variety of distances and poses, diverse training data sets that ensure low bias, and our custom customer models that dramatically reduce the risk of adversarial attacks, make our platform the best option for authentication, access control, security and surveillance applications.”
In addition to SDKs supporting a variety of technical configurations, including models as small as 4MB for edge processing, Ever AI launched a new liveness detection offering to its product suite earlier this year.