Deep learning algorithm model Supports local offline recognition, 3,000 face Fastest recognition time 0.2 seconds WDR, 2MP low illumination wide-angle camera Support anti-spoofing detection Support face metering and human metering Suggested height for face recognition: 0.8m~2.2m,face recognition distance: 0.2m~2m Support screen sleep mode Support video capture, support ONVIF protocol Support face, card, password authentication
| Operating System | Embedded Linux |
|---|---|
| Camera Element | Dual Lens, 2MP |
| Screen Element | Touch Screen, Size:4 inch, Resolution: 480×800 |
| Face Recognition Accuracy Rate | >99% |
| Face Recognition Time | 200ms |
| Face Capacity | 3,000 |
| Card Capacity | 10,000 |
| Storage Capacity | 4GB |
| Event Capacity | 30,000 (With Images)/100,000 (without images) |
| Authentication Mode | Face Whitelist∶ (1∶ N) Card:(1:N), Face +Body temperature, Mask Detection |
| Door Opening Method | Face, Password, Card |
| Access Card Type | Mifare Card |
| Wiegand In / Out | 1 / 1 |
| Alarm Input / Output | 2/1 |
| Serial Interface | RS485 |
| USB Interface | 1x USB2.0 |
| Lock / Exit | 1 button / 1 button |
| Door contact | 1 |
| Ethernet | 10M/100M Base-TX Ethernet |
| Operating Temperature | -10°C ~ 50°C (For Terminal) 10°C ~ 40°C (For Module) |
| Operating Humidity | ≤ 95% RH (non-condensing) |
| Dimensions (L x W x H) | 33* 88 *175 mm |
| Ingress Protection | (Indoor, No wind) for both terminal and module |
| Input Power | 12VDC |
© Copyright 2013 REVO MENA
