It is a smart device that recognize face and temperature-sensing terminal independently. The body temperature detection technology based on the AI algorithm for accurate correction can match the face and body temperature in real time, and the device will broadcast a voice prompt when the body temperature is abnormal. You can manage the device through the smart device platform or the device web page after the smart device installation is complete and the network had been accessed.
This product adopts a number of high-tech, such as video codec technology, audio codec technology, embedded system technology, storage technology, network technology and intelligent technology, etc. Excellent face recognition and living body judgment function. The body temperature detection technology based on the AI algorithm for accurate correction can match the face and body temperature in real time, and the device will broadcast a voice prompt when the body temperature is abnormal. After the smart device installation is complete, after access the network, you can manage the device through the smart device platform or the device web page. In order to meet the multi-element needs of various applications, this product can be widely used in airports, exit and entry points, railway stations, government agencies, schools, scenic spots, large factories and other places that need to be identified.
It can help customers to carry out efficient, safe and intelligent entrance and exit management.
- 7 inch ISP LCD screen 1024*600, the image without smear and no delay.
- Using two 2 million high-definition wide-angle wide dynamic cameras, support
- binocular live detection (photo and video anti-counterfeiting).
- A photosensitive sensor is used to automatically adjust the fill light intensity through white light and infrared light. Support smart fill light.
- Use Linux system, low power consumption, high stability.
- Adopt deep learning algorithm, support 30,000 face database.
- Adopt G.711u and G711a audio compression formats.
- Recognition speed <200ms, Accuracy >99.5%.
- Mask detection to determine whether the identified person is wearing a mask.
- Support staff are identified when wearing a mask.
- Temperature error range+/-0.3℃.
- Background management, abnormal records, device management, personnel management.
- Support data upload to the network, can upload the device comparison results and captured photos to the platform for real-time storage, and support to upload files after network recovery after disconnection.
- App remote management, message push.
- Face recognition distance is 0.5-1.3M, 0.75M is best.
- Operating temperature: 10℃-50℃.