Implemented a face recognition system using cosine similarity metrics in Python. Utilized deep learning models like FaceNet to extract facial features for comparison. Achieved high accuracy in identifying faces by measuring the cosine angle between feature vectors. Integrated with security systems for access control, enhancing safety measures
active 2024-05-27 → 2024-05-27 (UTC)
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