Key Features
- Deep Learning
- Dual Camera on Front
- Finger/Face Recognition
- Touch Panel Support
Face Recognition Algorithm | |
Version | EBKNv5.3 |
Base Technology | Deep learning (1TOPS NPU) |
FAR/FRR | 0.00001/ 1(%) |
Speed | Detection: < 0.1second (up to 5 faces simultaneously) Recognition: < 0.5second (per every face) |
Distance | 0.5 –2.5M (Up to 3M under good environment.) |
Angle | Yaw: ≤30°, Pitch: ≤30° |
Simultaneous face detection count | 5 |
Anti-spoofing | Based on dual camera |
Others | Support intelligent adaptation |
Hardware | |
RAM | External 512MB DDR3 |
Flash | 4GB SD NAND |
Camera | Visible: 2M (1920*1080) Resolution Infrared: 2M (1920*1080) Resolution Field of view: 72.2° |
Illumination | Visible light illumination Infrared light illumination |
LCD | 5Inch (720*1280) Full view IPS screen |
Communication | Ethernet, Wi-Fi, RS485, WEB, P2P, 4G(Optional) |
RTC | Supported |
Sound | Supported |
Touch Panel | Supported |
Card | ID, IC(Optional) Supported |
Access Control | Supported – (Door Lock Relay, Bell Relay, Exit Button, Door Sensor Wiegand In/Out, Tamper, Refresh) |
Working voltage | DC12V ± 5%(current: below 1.5A) |
Working temperature | -10°C ~ 60°C |
Working humidity (RH) | 20% ~ 80% |
Software | |
User Capacity | 5K |
Face Capacity | 5K |
Fingerprint Capacity | 5K |
Access/Attendance Log Capacity | 500K |
Management Log Capacity | 3K |
SDK | Supported |
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