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People Recognition Algorithms
Face recognition algorithm and authorization
Support face feature extraction and retrieval, face comparison (support 1:1, 1: N comparison), face recognition, recognition accuracy ≥98%(under the premise of 1/10,000 false positive rate), support mask recognition, recognition accuracy ≥90%(under the premise of 1/1,000 false positive rate), face size must be greater than 80*80 pixels
Support face feature extraction and retrieval, face comparison (support 1:1, 1: N comparison), face recognition, recognition accuracy ≥98%(under the premise of 1/10,000 false positive rate), support mask recognition, recognition accuracy ≥90%(under the premise of 1/1,000 false positive rate), face size must be greater than 80*80 pixels
Flow detection algorithm and authorization
Detect the flow of people in the specified area and count the number of people. Counting accuracy ≥90%; (98% accuracy requires video anti-tailgating terminal)
Detect the flow of people in the specified area and count the number of people. Counting accuracy ≥90%; (98% accuracy requires video anti-tailgating terminal)
Personnel density retrieval algorithm and authorization
Detect the personnel density in the designated area and perform thermal statistical analysis
Detect the personnel density in the designated area and perform thermal statistical analysis
Personnel feature recognition algorithm and authorization
Recognize attributes such as gender, age, clothing, etc. Comprehensive recognition accuracy ≥90%
Recognize attributes such as gender, age, clothing, etc. Comprehensive recognition accuracy ≥90%
