Face Recognition Access Control Terminal with Digital Temperature Measurement Module, Uniview OET-213H-BTS1

Support non-contact detection of wrist temperature, support warning people with abnormal body temperatureSupport body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detectionSupport configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold valueNon-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 2.5cmDeep 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 scenesSupport anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and videoSupport face metering and human metering for fast adapting to ambient lightSuggested height for face recognition: between 0.8m and 2.2m，face recognition distance: 0.2m to 2.9mSupport screen sleep mode, keep the minimum brightness to prevent glare at nightSupport add up to 6 photos of the base library for a single personSupport video capture, support ONVIF protocolSupport face, card, password and QR code authentication to control door openTwo-way audio with indoor monitorBuilt-in 4GB 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 activeProduct 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