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 methods, 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
- Supports power supply by battery in the bracket
- Supports access control and local time and attendance function
| System | |
|---|---|
| Operating system | Linux |
| ROM | 4 GB |
| RAM | 256 MB |
| CPU | 960 MHz |
| Display | |
| Screen size | 2.4 inch |
| Type | LCD |
| Resolution | 320 × 240 |
| Video | |
| Lens | 1 |
| Video compression standard | PAL (Default) and NTSC |
| Resolution | 2 MP (video stream: 720P) |
| FOV | HFOV = 43°; VFOV = 25° |
| Audio | |
| Audio output | Built-in buzzer |
| Network | |
| Network protocol | ISAPI, ISUP 5.0 |
| Wired network | Support |
| Wi-Fi | Support, 2.4 G, 802.11b/g/n |
| 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 |
| Capacity | |
| Face capacity | 500 |
| Fingerprint capacity | 1,000 |
| Card capacity | 1,000 |
| Event capacity | 100,000 |
| Authentication | |
| Face recognition distance | 0.3 m ~ 1.5 m |
| Face recognition accuracy rate | > 99% |
| Face recognition duration | < 0.2 s |
| Card type | M1 card |
| Card reading distance | 0 ~ 5 cm |
| Card reading duration | < 1 s |
| General | |
| Built-in access controller | Yes |
| Supplement light | White light |
| Power supply | 12 VDC (Supports power supply by battery in the bracket) |