| Screen |
4.3 Inch Touch Screen |
| Keypad |
Touch keypad |
| Operation System |
LINUX 3.10 |
| CPU |
800M single-core ARM Cortex-A7 |
| NPU |
800G (0.8T) Hashrate |
| RAM, ROM |
256M DDR3L, 4G EMMC |
| Camera |
1MP color camera + 1MP infrared camera |
| Live Detection |
Dynamic dual-camera anti-counterfeiting, preventing black-and-white, color photos and videos from deception |
| Logs Capacity |
500000 |
| Verification |
Face, Palm vein (optional), Fingerprint, Password, ID Card (optional), IC Card (optional) |
| Face Capacity |
5000 |
| Fingerprint Capacity |
10,000 |
| Palm Vein Capacity |
10,000 |
| Card Capacity |
15,000 |
| Face Recognition Accuracy |
99.70% |
| Recognition Speed |
≤0.2s |
| Recognition Distance |
0.5–2.5 meters (0.5–1.5m with face recognition on) |
| Principle of Identification |
Face algorithm based on multi-task cascaded convolutional neural network |
| Based On |
Video stream for dynamic face detection, tracking, and recognition |
| WDR |
Wide dynamic range, supports accurate face recognition under strong light and backlight |
| USB |
USB2.0 x1, Support U disk import/export data |
| Power Supply |
DC12V 1A |
| Built-in Battery (optional) |
7.4V, 2000mAh |
| Network Communication |
TCP/IP, USB, WiFi |
| Mask Detection |
Supports masked face detection with face recognition |
| Access Control Interface |
Lock output, Doorbell output/alarm ring, Wiegand input/output |
| Free Attendance Software |
Local software and web-based cloud software |