UNV Face Recognition Access Control Terminal with Digital Detection | UN-OET213HBTS1NB

Support non-contact detection of wrist temperature, support warning people with abnormal body temperature Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value Non-contact wrist temperature detection module, the measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 3cm Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate > 99%, false rate < 1% Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N) Fastest recognition time 0.2 seconds, various models merge mode are used to reduce the false ra