ATB Technology Co.,Ltd

ATB Technology Co.,Ltd

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Face ID reader with body temperature & face mask detecting to prevent COVID-19/new coronavirus

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ATB Technology Co.,Ltd
Country/Region:china
Contact Person:MrPeter
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Face ID reader with body temperature & face mask detecting to prevent COVID-19/new coronavirus

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Brand Name :ATB
Model Number :FRB-150-8TEMP
Certification :CE
Place of Origin :China
MOQ :10
Payment Terms :T/T, L/C
Supply Ability :10000/month
Delivery Time :7-10days
Packaging Details :carton
material :Aluminum alloy
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Product introduction
Body temperature detection dynamic face recognition tablet is an access control product developed using the latest face mask recognition algorithm and thermal imaging body temperature detection technology. The system supports automatic switching in 1: 1 and 1: N modes. Based on the Android system environment, it has the features of face recognition speed and temperature detection in seconds, high accuracy, high security, and good stability.

Applicable scene
Residential quarters, office buildings, schools, government units, tourist attractions, factory sites, etc for public health and safety. it can detect and alert those people not wearing mask, and their body temperature is higher than set temperature, eg, new coronavirus,COVID-19 detecting etc for a more safe control. It can work with all kinds of turnstile gates,tripod turnstile, flap barrier, speedstile,speedgates,sliding/hidden gates,etc,safety access control for entry/exit.

Main features
1. Support face recognition while wearing a mask to complete temperature detection;
2.Built-in low-power body temperature detection module, complete the detection in seconds, the detection distance is 0.5m, and the temperature measurement accuracy is ± 0.5 ℃;
3. Fast recognition speed, complete body temperature detection in seconds, and record and push data;
4. Support external two-dimensional code scanner, ID card / IC card reader;
5. Support 1: N verification, binocular live detection in 1: N mode to prevent photo and video attacks;
6.1: The accuracy rate of N-pattern recognition is high. When the face database is 5000, the misrecognition rate is 1 in 10,000, and the pass rate is 99.85%;
7. Adopt dynamic face detection and tracking recognition algorithm based on video stream;
8. Support offline storage of 100,000 face photos and recognition records;

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