Cognitec Systems has concluded research and development efforts to advance the accuracy and speed of its face matching algorithm. The algorithm has been integrated into Cognitec’s FaceVACS engine and is available in releases of all market-focused Cognitec products.
In-house tests show performance levels on a variety of datasets across face recognition applications. These datasets range from passport-style images as found in national ID databases, to mugshot-style images used by law enforcement agencies, and facial images turned away from a frontal pose, as recorded by video cameras.
Another test shows an accuracy boost for matching low-quality passport-style images to live camera images, the process used for automated border control in eGates.
The matching algorithm benefits Cognitec’s products to compare facial images to those stored in photo databases, to investigate persons in recorded videos, find known persons in real time, and for verification processes at borders.
The FaceVACS engine allows companies to implement face recognition methods in their own products, and is made available via custom software development kits.