Temperature Measurement Face Recognition Terminal OET-213H-BTS1-BD

პროდუქტის აღწერა

Product Features
• 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, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.5℃, and measurement distance is between 1cm to 2.5cm
• 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 • Two-way audio with indoor monitor • Built-in 4G EMMC front end storage, stable and reliable, up to 30,000 events capacity (with images) • Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active Product Specification • Operation System Linux • Face Recognition Accuracy Rate >99%
• Face Recognition Time 200ms
• Face Capacity 10,000
• Card Capacity 100,000
• Storage Capacity 4GB
• Event Capacity 30,000 (with images)
• Measurement Range 30℃- 45℃
• Measurement Accuracy 0.1℃
• Measurement Deviation ≤±0.5℃
• Measurement Distance 1cm-2.5cm
• Authentication Mode: Face Whitelist∶ (1∶ N), Card:(1:N), Face +Body temperature
• Door Opening Method Face, Password, QR code, Card
• Communication Mode 10/100Mbps adaptive network port
• Card Type Mifare 1 Card
• User Management Support user library addition, deletion, update
• Record Management Support local recording and real-time upload
• Interface LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1, Lock×1, Door Contact ×1, Exit Button×1
• Power Supply Input 12V±25% DC
• Screen Touch Screen, Size:7 inch, Resolution: 600×1024
• Camera Dual Lens, 2MP, 1080P
• Supplement Light LED soft light and infrared light
• Dimensions (L×W×H) For terminal : 134.0mm×33.0mm×305.0mm
• Working Environment For terminal: −20℃~ +65℃, Relative Humidly<95% (non-condensing) • Protection Level Both terminal and module: IP 54 • Application Situation Indoor, No wind