Face recognition terminal adopts deep learning algorithm, which helps to recognize the face faster with higher accuracy. It also supports multiple authentication modes: face/card/fingerprint/PIN authentication, etc. It can be applied in multiple scenarios, such as buildings, enterprises, financial industries, and other important areas.
Features
- 2.4-inch LCD screen, 2 MP lens
- Multiple authentication modes, including face, fingerprint, card, and PIN, etc.
- Supports M1 card
- Max. 500 faces, 1,000 cards, 1,000 fingerprints and 100,000 events
- Face recognition duration < 0.2 s/User
- Supports ISAPI and ISUP 5.0 protocols
- Configuration via the web client
| Display | |
|---|---|
| Screen size | 2.4 inch |
| Type | LCD |
| Video | |
| Lens | 1 |
| Resolution | 2 MP (video stream: 720P) |
| FOV | HFOV = 43°; VFOV = 25° |
| Network | |
| Wired network | Support |
| Interface | |
| Network interface | 1 RJ-45, 10/100 M self-adaptive |
| Lock control | 1 |
| Exit button | 1 |
| Door contact input | 1 |
| TAMPER | 1 |
| USB | 1 |
| Authentication | |
| Card type | M1 card |
| General | |
| Built-in access controller | Yes |
| Power supply | 12 VDC |
| Power consumption | ≤ 6 W |
| Working temperature | -10 °C to 55 °C (14 °F to 131 °F) |
| Working humidity | 0 to 90% (No condensing) |
| Language | |
| Supported languages | English, Spanish (South America), Arabic, Thai, Indonesian, Russian, Vietnamese, Portuguese (Brazil), Korean, Japanese |
| Function | |
| Face anti-spoofing | Support |