- Supportnon-contact detection of wrist temperature, support warning people with abnormal body temperature
- Support the detection of wrist distance, improve the accuracy of temperature measurement
- 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 0.3℃, and measurement distance is between 1cm to 4cm
- 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, 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 8,000 events capacity (with images)
- Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
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 : 8,000 (with images)
Measurement Range : 30℃-45℃
Measurement Accuracy : 0.1℃
Measurement Deviation : 0.3℃
Measurement Distance : 1cm-4cm
Authentication Mode :
- Face Whitelist: (1:N)
- Card:(1:N)
- Face +Body temperature + Mask Detection
Door Opening Method : Face, Password, QR code, Card
Communication Mode : 10/100Mbps adaptive network port
Card Type : Mifare1 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
Power Consumption :
- Terminal: 10W
- Module: 756mW
Weight :
- Terminal: 641g
- Module: 131g
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
- For module: 87.0mm×45.0mm×27.0mm
Working Environment :
- For terminal: -20℃-65℃, Relative Humidly<95% (non-condensing)
- For module: 10℃-40℃
Protection Level : Both terminal and module: IP 54
Application Situation : Indoor, No wind