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Our face recognition is based on face descriptors. All biometric templates are mathematical representations of users’ faces, which means that biometric and personal information is strictly separated. This way of data handling data ensures the highest level of privacy, even when dealing with extremely sensitive data. The system calculates the similarity between the input face descriptor and all face descriptors previously stored in a gallery. The goal is to find the face(s) from the gallery that are the most similar to the input face.
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Main featuresOnline and offline usage High accuracy and robustness No personal information such as photos or names is stored or processed. This ensures , ensuring the highest level of privacy, even when dealing with highly sensitive data Lightweight technology enabling enables high performance across a whole range of supported platforms A detailed Technical Specification brochure is available, including measurements of accuracy, performance, code size, data size and memory usage – (contact us to request itaccess the brochure)
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