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Product | AI Dynamic Face Recognition Time Attendance Access Control Terminal |
Screen | 2.8 Inch Touch Screen |
Operation system | Linux 3.10 |
CPU, NPU | 800MM single core, Cortex-A7 |
RAM | 256MB DDR3L |
ROM | eMMC Flash 4GB |
Binocular camera | 2 Million Color Camera + 2 Million infrared camera |
Logs Capacity | 500000 |
Verification | Dynafnc face recognition, password; ID card |
Face capaoty | 5000 |
Card | 5000 |
PIN Capacity | 5000 |
Face Recognition Distance | 0.5-2.5 meters (0.5-1.5 meters with live face recognition on) |
Recognition Speed | ≤2S |
Face Recognition Accuracy | 99.7% |
Prevent Photo | Dual camera anti-counterfeiting, prevent recognition with photo/video |
Principle of identification | Face algorithm technology of multi-task cascaded convolutional neural network |
WDR | Wide dynamic range, support accurate face recogniton under strong light, dark light and back-light. |
Power supply | DC12V 1A interface x1 |
Network Communication | TCP/IP, USB; WIFI optional |
Free Attendance software | Support exporting excel attendance report with U disk |
Shift | Support shift setting and importing shift schedule with U disk |
Management Software | Standalone software, Cloud software, smart phone app |
Access Control | Doorbell ouput, Lock ouput, wiegand 26/34 output |
Environmental | Working temperature:0C to 45*C (storage temperature -20 to 90 degree) |
Multi-languages | English default; Spanish, Arabic, Thai, Farsi, Portuguese, French, Italian, Japanese, Korean can be customized |
Device Dimension | 165 x 80 x 25mm |





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