Precise Automatic Face Recognition Turnstile Reader With Body Temperature Detection
Specification
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Basic information |
Installation site |
Wall, installation, gate installation |
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Working temperature and humidity |
-15℃ to 55℃,<90℃RH |
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Protection level |
IP55 |
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Dimensions |
246*21.5*123mm |
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Texture |
Aluminium alloy |
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Hardware information |
System |
Linux |
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CPU |
RV1109 2 core 1.5GHz |
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Storage |
Memory 1GB, data storage 8GB |
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Display screen |
7-inch high-definition IPS LCD screen, resolution 600*1024 | |
| Touching | Selected touching | |
| Camera |
200W live binocular camera |
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| Wide dynamic | Support | |
| Fill light | Three-colour fill light Infrared fill light | |
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WIFI |
Support (Selected) | |
| Speaker | 1-way speaker | |
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Watchdog |
Support hardware watchdog | |
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Recognition performance |
Face library capacity | 1:N,N<=20000 |
| Accuracy | 99.70% | |
| IC/ID card recognition | Support USB swiping module/serial swiping module (optional) | |
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ID card recognition |
Supporting witness comparison
(Support central control, Huashi USB interface universal protocol ID card reader) |
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Working environment |
Power supply | DC12V 2A |
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Power consumption |
≤8W | |
| Working temperature | -20℃~+60℃ | |
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Working humidity |
20%-90% |
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| 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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