Cognitec improves the accuracy and speed of its face matching algorithm
Cognitec Systems announced today that extensive research and development efforts have led to significant improvements in the accuracy and speed of its face matching algorithm.
The face recognition company conducted in-house tests that show first rate performance levels on a variety of large datasets across typical face recognition applications. The datasets range from passport-style images to mugshot-style images, and facial images turned away from a frontal pose, as recorded by video cameras. The tests also show an accuracy boost for matching low-quality passport-style images to live camera images, the process used for automated border control in eGates.
The new high-performance algorithm has been integrated into Cognitec’s FaceVACS engine and is available in new releases of all market-focused Cognitec products.
Cognitec’s products are used around the world to compare facial images to those stored in multi-million 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.