Face Recognition Access Control Terminal with Digital Temperature Measurement Module

• 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 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 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