Thermal Detection Face Recognition Camera With Temperature Sensor
Algorithm parameters
Scenes | Supported algorithms | Description |
Algorithm accuracy | Face recognition (1: 1): 99%@0.01% (accuracy rate is 99% under 0.01% false rate) 95%@0.0001% (95% accuracy under 0.0001% false positive rate) | |
Angle requirements | Yaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees | |
Face requirements | Face size is more than 80 * 80 pixels in images | |
Face live detection | Angle requirements | Yaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees |
Face requirements | Face size is more than 80 * 80 pixels in images | |
Algorithm accuracy | 98%@0.01% (real person pass rate @false person pass rate) | |
Non-living category | Non-living detection for pictures, videos, coated paper, face fake models, etc. | |
Face detection and tracking | Snapshots | More than 30 people / frame |
Snapshot frame rate | 25fps | |
Smallest face | 30*30 | |
Adaptation angle | Yaw ± 45 degrees, roll ± 45 degrees, pitch ± 30 degrees | |
Attribute content | Gender, age, glasses, expression (angry, calm, happy, sad, |
Face attribute recognition | surprised), mask, race, beard, race, hat detection, hard hat detection | |
Algorithm accuracy | Age accuracy (± 5 years): more than 85%; Gender accuracy: 96% or more; Skin tone accuracy: above 97%; Beard accuracy: above 97%; Glasses accuracy: more than 98%; Mask accuracy: more than 98%; Hat accuracy: above 97%; Expression accuracy: 88% or more |