Uniview OET-213H-BTM32 Face Recognition with Forehead Temperature

Uniview OET-213H-BTM32 Face Recognition with Forehead Temperature

An advanced face recognition system with forehead temperature measurement capabilities is the Uniview OET-213H-BTM32. It has a highly accurate infrared temperature sensor that can monitor temperatures with precision and help identify people using facial recognition software. With its rapid and contactless temperature screening capabilities, the gadget is perfect for access control and security applications in a variety of locations, including workplaces, educational institutions, healthcare facilities, and public spaces. Temperature monitoring is effective and trustworthy thanks to its user-friendly interface and quick reaction time.

Features:

• 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
• 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 white list (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, and password 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 opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active