Key Features
- Advanced Deep Learning Algorithm – Ensures accurate & fast recognition
- Large Capacity – Stores up to 1500 users & 1,50,000 access logs
- Comprehensive Access Control – Supports door locks, exit buttons & relays
- Multi-Language Support – User-friendly interface with English display
- Smart Connectivity – Ethernet, Wi-Fi, and P2P communication options
- Dual Camera System – Anti-spoofing protection with intelligent adaptation
- High-Speed Detection – Recognizes faces within 0.6 seconds
- Multi-Mode Authentication – Face, fingerprint, and card-based access
Face Recognition Algorithm | |
Version | EBKNv5.3 |
Base Technology | Deep learning |
FAR/FRR | 0.00001/ 1(%) |
Speed | Detection: < 0.3 second (up to 3 faces simultaneously) Recognition: < 0.6 second (per every face) |
Distance | 0.5 –1.3M |
Angle | Yaw:≤30°, Pitch:≤30° |
Simultaneous face detection count | 3 |
Anti-spoofing | Based on dual camera |
Others | Support intelligent adaptation |
Hardware | |
CPU | XM650V200SD2 |
RAM | Embedded 128MB DDR3 |
Flash | 128MB SPI NAND 256MB SPI NAND (Optional based on face capacity) |
Camera | Visible:1M(1280*720)Resolution Infrared:0.3M(640*480)Resolution Field of view:55.8 Deg |
Illumination | Visible light illumination Infrared light illumination |
Fingerprint sens | Slim optical sensor |
LCD | 2.8 Inch (240*320) |
Communication | Ethernet, Wi-Fi, P2P |
USB Disk | Supported |
RTC | Supported |
Sound | Supported |
Touch Keypad | Supported (14 keys) |
Card | ID (125KHz), IC(13.56MHz, Optional) Support |
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℃~ +60℃ |
Working humidity (RH) | 20% ~ 8 |
Software | |
User Capacity | 1500 |
Face Capacity | 1500 |
Fingerprint Capacity | 1500 |
Access/Attendance Log Capacity | 1,50,000 |
Management Log Capacity | 3000 |
Display Language | English |
SDK | Supported |
Auto Push Technology | Supported |
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