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| 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 |
| RAMROM | 256M DDR3L,4G EMMC |
| Camera | 2MP color camera + 2MP infrared camera |
| Live detection | Dynamic dual-camera anti-counterfeiting, to prevent all kinds of black-and-white, color photos and videos from deception |
| Logs capacity | 500000 |
| Verification | Face recognition, password, ID Card(IC card optional) |
| Face capacity | 5000 |
| Card Capacity | 5000 |
| Password Capacity | 5000 |
| Face Recognition Accuracy | 99.70% |
| Recognition Speed | <0.2s |
| Recognition Distance | 0.5~2.5 meters (0.5~1.5 meters with live face recognition on) |
| Principle of Identification | Face algorithm technology of multi-task cascaded convolutional neural network based on video stream for dynamic face detection, tracking and recognition |
| WDR | Wide dynamic range, support accurate face recognition under Strong light, dark light and backlight |
| USB | USB2.0x1, Support U disk import/export data |
| Power supply | DC12V 1A |
| Built-in Battery (optional) | 7.4V, 2000mA |
| Network Communication | TCP/IP, USB, Wifi |
| Free Attendance software | Local software and web based cloud software |
| Mask Detection Access | Support mask detection and face recognition with mask on |
| Control Interface | Lock output, Doorbell output/external ring, Wiegand input/output |
| Environmental adaptability | Dark environment: LED Soft light automatic fill light (Automatic control according to ambient light) |
| Multi language | Support 20 national languages and voices including English, Spanish, Arabic, Thai, Farsi, Portuguese, French, Italian, Japanese, Korean, etc. |