★2MP Temperature Measurement Face Recognition Smart Panel Machine★
Adopting LCD display screen, embedded deep learning face recognition algorithm, integrated high-precision thermal imaging temperature measurement chip, AI intelligent access control products with ISP image processing and other technologies.
★Feature:★
✿Temperature accuracy: ± 0.3 ° C (in the range of 35 ~ 39 ° C), ±1 ° C (in the range of 0-35 ° C or 39 ~ 70 ° C), ± 2 ° C (the rest of the temperature). High-performance embedded processor, which integrates image acquisition, face detection, face tracking, face recognition comparison, and living body judgment, support mask detection.
✿Using 1 / 2.8 "2 million pixel ultra-low illumination sensor, the maximum output resolution is 1920 × 1080@30fps.
✿Ultra-low illumination CMOS, 0.001Lux @ (F1.2, AGC ON).
✿Wild angle FACE + deep face recognition algorithm, stable and reliable.
✿8-inch screen with 90% on screen.
✿Ultra-thin, industry's thinnest metal enclosure.
✿Voice alarm output on site after detecting abnormal body temperature.
✿Recognition speed ≤100ms, recognition rate ≥99.7%
✿Support offline working mode;Support 50,000 face libraries; Support video overlay and body temperature overlay; Can record identification information and temperature information, save traceability.
✿Support HTTP protocol, rapid development and integration, can provide data to other health management platforms.
✿Interface to achieve healthy big data linkage.
★Device Installation★
Installation location selection
◆1. The camera is set directly in front of the channel, and the face is captured in front;
◆2. The recommended height h is about 1.4 meters to 1.6 meters; the recommended camera angle is 0 to 10 degrees.
