Specification
Basic information | Installation site | Wall, installation, gate installation |
Working temperature and humidity | -15℃ to 55℃,<90℃RH | |
Protection level | IP55 | |
Dimensions | 246*21.5*123mm | |
Texture | Aluminium alloy | |
Hardware information | System | Linux |
CPU | RV1109 2 core 1.5GHz | |
Storage | Memory 1GB, data storage 8GB | |
Display screen | 7-inch high-definition IPS LCD screen, resolution 600*1024 | |
Touching | Selected touching | |
Camera | 200W live binocular camera | |
Wide dynamic | Support | |
Fill light | Three-colour fill light Infrared fill light | |
WIFI | Support (Selected) | |
Speaker | 1-way speaker | |
Watchdog | Support hardware watchdog | |
Recognition performance | Face library capacity | 1:N,N<=20000 |
Accuracy | 99.70% | |
IC/ID card recognition | Support USB swiping module/serial swiping module (optional) | |
ID card recognition | Supporting witness comparison (Support central control, Huashi USB interface universal protocol ID card reader) | |
Working environment | Power supply | DC12V 2A |
Power consumption | ≤8W | |
Working temperature | -20℃~+60℃ | |
Working humidity | 20%-90% | |
Storage temperature | -40~125℃ |
1. Face recognition accuracy: The accuracy of face recognition can also be improved by adjusting algorithms and tuning parameters to better match and identify faces.
2. Speed and efficiency: Face recognition systems can be optimized to achieve faster processing speeds and improved efficiency by leveraging hardware acceleration, parallel processing, and other optimization techniques.
3. Scalability: Face recognition systems can be customized to support different levels of scalability, from small-scale deployments to large-scale enterprise solutions.
4. Integration with other systems: Face recognition systems can be integrated with other security systems, such as access control systems, video surveillance systems, and alarm systems, to provide a more comprehensive security solution.
5. Customized alerts and notifications: Face recognition systems can be configured to trigger customized alerts and notifications when specific events occur, such as unauthorized access attempts or high-risk individuals being detected.
6. Integration with analytics and reporting tools: Face recognition systems can be integrated with analytics and reporting tools to provide insights into system performance, user behaviour, and security trends.
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