Univerdity College School Fever Scanner Kit
SUNSON Univerdity College School Fever Scanner Kit is a complete fever screening solution with temperature measurement, face recognition and big data statistics.
Through the intelligent temperature measurement system, the face information in the LIVE image and the temperatures in the sampled areas can be captured quickly, and the human body temperature can be tested and computed through the intelligent terminal, the captured face can be recognized and displayed.
When the body temperatures of the personnel, single or group of persons, in the camera preview range is higher or lower than the set normal body temperature (threshold), an alarm sound will be launched to remind the personnel with abnormal temperature and medical staff to deal with it in real time, and at the same time, the abnormal case will be uploaded to the control center for data analysis.
Equipped with front-end software, the temperature detecting system are equipped with patented built-in black body, thus ensure most reliable and highly accurate test results. This integrated system of facial recognition plus body temperature detection can be used as a standalone device or a checking point of a large anti-pandemic system.
Main Features 1). Safety: non-contact thermal imaging temperature measurement to avoid the risk of cross-infection.
2). Efficiency: the detection time is less than 1 second, and multiple tests can be carried out at the same time.
3). Stability: patented built-in blackbody real-time temperature calibration, temperature measurement is more accurate.
4). Detection rate: face detection and temperature measurement to avoid other non-human interference.
5). Easy to deploy: through the intelligent temperature measurement terminal display of the human infrared thermal imager, a small temperature measurement station is formed.
6). All-weather: 7 x 24 real-time temperature screening, body temperature over-limit warning.
Technical Specification
| Thermal Imaging Sensor |
| Resolution | 320*240 |
| Temperature range | 32℃~42℃ |
| View angel | Hor. 34.4°, Ver. 25.8° |
| Video output | 6bit, color mode: 32bit ARGB |
| NETD | 70mK@25℃ |
| Accuracy | ≤±0.5℃ |
| Calibration | Real-time by built-in black body |
| Detection time | < 1 second |
| Detection range | ≧1M, ≦5M, best at 2.5 M |
| Detection mode | Multi-person (≦10), temperature only Single person (temperature + face recognition) |
| Camera |
| Imaging sensor | SONY 1080P 500W IMX5187 |
| Resolution | 1920 x 1080 |
| Lens size | 5mm |
| Pixel width | 3μm x 3μm |
| Frame | 30fps 1080p |
| Dynamic range | 105DB |
| Gain | Auto |
| Exposure | Auto |
| White balance | Auto |
| Environment Condition |
| Working temperature | 25~32℃ |
| Storage temperature | -20~60℃ |
| Working moisture | ＜90% (no condensation) |
| General condition | Indoor, without wind |
Intelligent Terminal
| Specification |
| Language | English, Chinese(other languages upon MOQ 200 sets) |
| Chip | RK3399, 6 cores; 2A72 + 4 A53, 1.8GHz |
| RAM | DDR3 4GB |
| Storage memory | EMMC 16G |
| Video output | HDMI, 1080P |
| Audio output | 3.5mm jack |
| USB interface | USB 2.0 *2, USB3.0 *2 |
| Network | 2.4G WiFi |
| 10/100/1000M Ethernet |
| Power supply | DC12V/2A |
| Clock | Support RTC clock |
| Power on/off | Automatic start system when power on |
| Operating system | Android 7.1 |
| Upgrade | Support TF card & USB |
| Input method | Standard android keyboard Support third party input method |
| Face recognition | Local database |
| Data storage | Max. 50,000 faces |
Note: The above configurations are for reference, we remain the rights of upgrade without prior notice.
Attention
1). The temperature measuring equipment should be used indoor with room temperatures between 25 ℃ and 32 ℃. Do not install the equipment under the vent. Ensure that there is no heating source within 3 meters.
2). Personnel entering the room from the cold or very hot outdoor environment will affect the accuracy of temperature measurement. It is necessary to keep the forehead without cover for three minutes in room and the temperature is stable before testing the forehead temperature.
3). The temperatures are detected from different forehead points. When there is water, sweat, oil stains or makeup on the forehead or the elderly have more wrinkles, the temperature readings will be lower than the actual ones. Make sure the forehead is not covered with hair or clothing.
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