Linux Face Recognition Temperature Scanner DC12V 2A With Temperature Detection

1. Product description

This terminal is a front-end face recognition tablet based on deep learning (DV300 solution) with very flexible features. It adopts HiSilicon industrial-grade embedded Linux platform, built-in neural network computing processor and 2 million pixel full HD WDR color camera to cope with backlight dark light and half-bright-half-dark face environment. The imported medical-grade temperature measurement chip can quickly and accurately measure the body temperature on the forehead, and can work continuously and stably in the complicated and severe environment. The local face library can store 50,000 faces, which can be used for offline identification comparison. This device has rich tail cable interfaces and flexible configuration. It can be equipped with QR code recognition including health QR code, external swiping card and ID card, etc.

       2. Product characte

2.1 Reliable offline recognition and compariso

      This device is mainly used for channel face recognition and comparison, non-contact temperature screening and early warning, and access          control. It can also cooperate with cloud platforms to form smart campuses, smart communities, smart parks, and smart construction sites.

• 1 /2.8" wide dynamic low illumination CMOS, image resolution 1920(H)*1080(V), frame rate up to 25 frames;
• uLow illumination CMOS, 0.01Lux@(F1.2, AGC ON);
• uHigh-performance embedded processor, integrating image acquisition, face detection, face tracking, face comparison, and living body judgment in one device;
• Autonomous CNN neural network algorithm, dynamic recognition does not require special cooperation;
• uSupport panoramic image, partial close-up image output;
• uSupport the identification of faces, helmets, face masks, etc.;
• uSupport QR code recognition (including health code);
• Support accurate and rapid temperature measurement in severe environment (up to 40 degrees); support forehead temperature measurement up to 1.2 meters;
• uSupport the comparison mode of person and certificate;
• uRecognition speed≤80ms, recognition rate≥99%;
• uSupport 50000 portrait library;
• uSupport video overlay; support Wiegand protocol;
• Anti-thunder and anti-surge protection measures;

2.2 Efficient group management

      This device supports access to DingTalk and corporate WeChat to make team management more convenient and efficient.

2.3 Efficient access control

      For gateways with high and dense traffic, this device can complete efficient comparison of local snapshots, non-contact body temperature              screening and early warning, and can also capture facial information within 2 meters of the device and report the data to the designated                terminal to achieve multi-level linkage.

2.3 Appearance characteristics

3. Detailed specifications

4 Quick installation instructions

4.1 Standard accessory bracket installation

4.2 Standing bracket installation (the bracket can be offered on an extra purchase)

5 Peripheral interface

lConventional access control is connected to "switch signal 1", and switch signal 2 is usually used as an alarm output IO interface.