
Thermal & Facial Recognition Machine
SC-A2 Android
Highlighting facts


SC-A2 Features
SPECIFICATIONS
Product model | category | performance parameter
|
camera | Ā Resolution ratio | 500W |
form | RGB+IR | |
aperture | 4mm | |
focalĀ length | 0-2m | |
white balance | self-motion | |
LCD | size | 8 “, full view IPS LCD screen |
Resolution ratio | 800*1280luminance400 | |
processor | CPU | 4 nuclear RK3288 |
Flash memory | DDR | 2G |
Internal Storage | EMMC | 8G |
accessories | Flash LED LED
| Infrared + three-color supplementary light lamp |
Card reading module (optional) | IC/ID card reader thermal imaging temperature detection module | |
Network module | Support wired, 2.4GWIFI, 4G(optional) | |
port | frequency | One way audio output analog small signal (optional) |
USB interface | Two way USB | |
serial port | 1 channel RS232 interface |
CHARACTERISTICS
- Wide dynamic monocular, binocular living anti-counterfeiting, to solve all kinds of photos, video fraud door
- Real-time temperature monitoring, temperature tolerance range accurate to 0.1-0.3, temperature detection distance 0.3-3 meters;
- Support not wearing masks;
- The local storage of the device supports a maximum of 20,000 faces;
- Chinese, English, Spanish, Korean, Japanese, French, German and other multiple languages;
- Support LED intelligent lighting;
- Support RS232 serial port, Weigen 26, 34 output, output content support configuration;
APPLICATION FIELDS
It is applicable to public services and management projects such as office areas, hotels, gateway gates, office buildings, schools, shopping malls, shops, communities, construction sites and other places that need face access control or temperature measurement.
ALGORITHM
- NA Face recognition, 20,000 faces are supported in the face library, and the topI survival rate is 99.99%;
- 1:1 person verification accuracy rate above 99%;
- Fast recognition speed:
- human face tracking and detection consumption of 2.0 ms (b) human face characteristic extraction consumption of 2.0 ms
- life detection and detection of human face consumption of 0 ms
- feature comparison of 0.2 ms (d) cost of 0.5ms (1 0000 face database, multiple recognition is taken as average)
- Strangers detection is supported, and the level of strangers can be configured;
- Support the saving of scene photos during face recognition or stranger detection;