The 6 algorithms that ranked in the top places are those of companies from China and Russia whose systems are not common among Western countries, which accounts for Israel's top score.
The NIST tests evaluated 177 individual algorithms, and reported facial recognition technology performance in one-to-one scenarios, comparing one face image against a different input image, measuring for accuracy, speed, storage and memory consumption, and resilience.
“AnyVision's technology is optimized for interpreting real-world video sequences on low power embedded devices, which is actually much harder to solve than what NIST focuses on, which is static images and photos, processed using Intel hardware,” said AnyVision CTO Dieter Joecker.
“The fact that we do not design our algorithms for NIST and still achieved very balanced, high rankings across all categories - including two that were not included in the initial ranking — is truly impressive. It’s a testament to how advanced our technology really is," Joecker added.
The report also measured accuracy with face masks, as well as ranging across characteristics such as age, region, country, race and gender.
“We have taken the crucial first steps towards bridging the digital-to-physical divide, with a platform for understanding the way people experience and interact with the physical world," added Golan. "In other words, we are creating the missing link in making our cities truly smart, our offices responsive, and our homes more livable.”