Face Recognition Terminal details.
– Non-contact detection of wrist temperature, with a warning if abnormal body temperature is detected (measurement range is between 30°C to 45°C, measurement accuracy can up to 0.1°C)
– Support for body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection
– Face recognition time of 0.2s
– UNV Deep learning algorithm allows for >99% face recognition accuracy rate (or >90% with a mask)
– Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face whitelist (1∶ N)
– Supports face, card, password and QR code authentication to open door, with anti-spoofing detection effective against photo or video
– Two-way audio with indoor monitor
– Built-in 4GB storage, up to 8,000 events capacity (with images)
– Ideal for communal areas, schools, office buildings, hospitals, dentists and other crowded places
– Kit consists of the face recognition terminal, temperature measurement module and the floor-stand
