Turboo Euro Technology Co., Ltd.
For A Safer World
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1920x1080 7 Inches Face Scan Attendance Machine CMOS Night Vision
7 Inch High Resolution Cloude Storage Face Recognition With Night Vision
Face Scan Attendance Machine Quick Details
Technical parameter
| Processor | Hi3516DV300 |
| Operating System | Linux operating system |
| Storage | 1 6G EMMC |
| lmaging Device | 1/2.7" CMOS |
| Lens | 6mm |
| Power Supply | DC 12V/3A |
| Equipment Power | 20W(MAX) |
| Working Temperature | -15°C- +60°C |
| Temperature Range | 30-45 (°C) |
| Tempcrature Accuracy | +0.3 (°C) |
| Tempcrature Mcasurement Distance | ≤0.5m |
| Response | < 300ms |
| Equipment Size | 154 (W)* 89 (D)*355.4(H) mm |
| Equipment Wcight | 2.1 kg |
| Column Diamete | 33mm |
Product Description
1. Non-contact automatic body temperature detection, brush human face and perform high-precision infrared human temperature acquisition at the same time, fast and high effect
2. Temperature measurement range 30-45 (℃ ) Accuracy ± 0.3 (℃ )
3. Automatically identify unmasked personnel and provide real-time warning
4. Support temperature data SDK and HTTP protocol docking
5. Automatically register and record information, avoid manual operation, improve efficiency and reduce missing information
6. Support binocular live detection
7. Unique face recognition algorithm to accurately recognize faces, face recognition time <500ms
8. Support human motion tracking exposure in strong backlight environment, support machine vision optical wide dynamic ≥
80dB face id attendance machine
Product Features
1. Non-contact automatic body temperature detection, high-precision infrared body temperature collection while brushing faces, fast and efficient;
2. Automatically identity people without masks and give real-time warning;
3. Support long-distance temperature measurement, real-time warning of high temperature,
4. Support temperature data SDK and HTTP protocol connection;
5. Automatically register and record information, avoid manual operation, improve efficiency and reduce missing information;
6. Support binocular live detection
7. Unique face recognition algorithm accurately recognizes faces, face recognition time <500ms
8. Rich interface protocols, supporting SDK and HTTP protocols on Windows I Linux and other platforms
Product Application
Applicable to office areas, hotels, passage gates, office buildings, schools, construction sites, factories, shopping malls, shops, communities, public services and management projects that require face access control.
