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New mask-tolerant matching algorithm and age estimator
Highly focused and innovative R&D initiatives have again raised accuracy levels of Cognitec’s main matching algorithm and its age estimation technology. The latest versions are showing remarkably robust test results for facial images with masks. Advanced neural network training and a new face finder contributed to generally increase the robustness against significant facial occlusion caused, for example, by a mask or hands on the face. “The global situation has spurred our research and development efforts for facial images with major occlusions,” says Managing Director Alfredo Herrera, “and we are proud to now offer our entire product line with matching and age estimation algorithms that work for images with or without…
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Cognitec’s Latest Face Recognition Engine Recognizes Masked Faces
. Advanced deep learning methods and a new face finder are contributing to substantial performance upgrades for Cognitec’s FaceVACS® face recognition engine. In particular, the new version shows higher accuracy rates for facial images with masks, strong poses and extreme mouth expressions. Extensive research and development efforts to enhance the company’s face finder technology resulted in a tenfold higher detection rate for faces largely covered by facial masks. A specialized algorithm version with less memory consumption serves Linux-on-Arm and Android platforms. For this algorithm, test results showed particularly high matching accuracy for images of people wearing face masks. Cognitec is already preparing the release of the next matching algorithm, expecting…
