The Wicket algorithm enhancements were developed entirely in-house by our team of scientists with a concrete goal to address the issue of bias. With our Wicket technology, match or verification is done based on a set of data points converted to a unique identifier and is not based on matching a picture. For this reason, performance is limited only by the quality of the source stills or images, which are based on a) pose or which way the person is looking, b) occlusion or facial hair, hats, glasses, or masks, and c) illumination or lighting. Therefore, efficacy and accuracy are not dependent upon age, skin tone, gender, etc.
We also submitted to NIST testing, viewed as the industry gold standard. The results show Wicket has a 99.7% accuracy rate across all demographic categories and is top 3 for accuracy of matched decisions in the U.S. at the time of submission.