Temperature Measurement Face Recognition Terminal OET-213H-BTM32

პროდუქტის აღწერა

• Support non-contact detection, 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 temperature detection module, 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 1 meter
• 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 model merge mode are used to reduce false rate and increase pass rate • WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes • Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video • Support face metering and human metering for fast adapting to ambient light • Suggested height for face recognition: between 0.8m and 2.2m，face recognition distance: 0.2m to 2.9m • Support screen sleep mode, keep the minimum brightness to prevent glare at night • Support add up to 6 photos of the base library for a single person • Support video capture, support ONVIF protocol • Support face, card, password and QR code authentication to control door open • Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images) • Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active