Face Recognition Access Control Terminal with Digital Detection Module
Support non-contact detection, 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
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 white list (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 password authentication to control door open
Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)
Support tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active
| Features Parameter | Description |
| 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); 30,000(without images) |
| Authentication Mode | Face White list∶ (1∶ N) |
| Card:(1:N) | |
| Face +Body temperature+ Mask Detection | |
| Door Opening Method | Face, Password, 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 |
| 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) For module：15℃-30℃ |
| Protection Level | Both terminal and module: IP 54 |
| Application Situation | Indoor, No wind |
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