The introduction of health QR code into the all-in-one face recognition and temperature measuring machine is designed to enable people to quickly conduct temperature detection, IC card verification and health QR code inspection at the entrance of public places, improve the safety and efficiency of epidemic prevention and control work.
Advantage of Thermal Camera Face Recognition
*8 core 2.0 industrial grade motherboard MTK
*Using 256*192 high resolution infrared thermal imaging module, Supporting RGB;
*1s rapid detection, supporting 2M long distance detection
Face Recognition with Thermometer Features
*External Environment
Long Distance Detection, High Temperature Alarm, Indoor Detection, Equipment Protection, Accurate Temperature Measurement
*AI Facial Recognition
Face Tracking, Temperature Tracking, Attendance and Access Control, Face Recognition, High Temperature Recording, Multilingual Conversion, Thermal Imaging Module, QR Code Module
*Embed Mode
Easy to Install, Column Design, Android Support, Provide DEMO,Various Accessories,Free SDK
F2/F3 Series Face Recognition Device
We offer face recognition thermal imaging temperature measuring device with various configurations and multiple installation methods. Choose as you like. If there is any product you are interested in , please contact us NOW!
F3-FHS Face Recognition Access Control Terminal | |||
Model No. | F3-FHS | ||
Display | 8 inches, Full viewing angle, 170IPS LCD screen | ||
Screen Resolution | 800*1200 | ||
Camera | Type | RGB | Thermal Imaging |
Resolution | 2 Million Pixels | 256*192 | |
Aperture | F2.8 | F2.8 | |
Focal Length | 3.18mm | 3.18mm | |
White Balance | Automatic | Automatic | |
Wide dynamic | Support | Support | |
Vertical Wide Angle |
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Horizontal Wide Angle |
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Basic Specification |
Operating System |
Android9.0 or above | |
Power Supply |
DC12V(±10%)3A | ||
Power Consumption | 15w MAX | ||
Relative Humidity | 0%¨ 90%（In the State of Non-condensing Drops) | ||
Operating Temperature | 5℃-50℃ | ||
IP Grade | IP55（Wall Mounting, Water is Not Allowed at the Junction with the Outlet Box, and a Ceiling Can Be Added） | ||
Working Environment | Indoor and Outdoor (with sunshade) Environment (no wind and direct sunlight) | ||
Size | 275.2MM*123.2MM*30.2MM | ||
Hardware Configuration |
Recognition Method | ¨ ¨Face Recognition | |
¨ ¨Mifare Card（Optional) | |||
¨ ¨IC Card（Optional) | |||
Face Recognition Parameters | ¨ ¨Face Verification Accuracy >99% | ||
¨ ¨Face Recognition Distance 0.5m-1.5m | |||
¨ ¨Card Verification Time 600MS | |||
Local Storage 30000 faces | |||
Interface | Micro USB 1pc | ||
RJ45 Gigabit Network 1pc | |||
Relay Output | |||
Wiegand Interface | |||
RS-232 | |||
Door Contact | |||
Exit Switch | |||
Power Supply | |||
White Fill Light | Support | ||
Indicator Light | Support Green Light for Authentication Success and Red Light for Authentication Failure | ||
Speaker | Dual Speakers, 1.0w | ||
Microphone | Non-noise Reduction | ||
Basic Parameters | WIFI | 2.4G 802.11b/g/n | |
Bluetooth | BluetooH 4.0 | ||
Temperature Measurement Module | Operating Temperature | 5℃ ~ +50℃ | |
Operating Temperature | -20℃ ~ +55℃ | ||
Power consumption | < 0.3w | ||
Pixel | 256*192 Real-time Temperature Output | ||
Measurement Accuracy | ± 0.5℃ | ||
Measuring Distance | 0.3 ~ 1.0m | ||
MTK
Motherboard | Chip | Octa-core A73 | |
Operating System | Android9.0 | ||
RAM | 2GLPDDR4 | ||
Storage | 16GB eMMC | ||
Power Input | 12V/2A | ||
Display | MIPI DSI Maximum Support Resolution 2400 * 1080 | ||
WIFi | 2.4GHz and 5GHz;802.11a/b/g/n/ac | ||
USB | Micro USB Type A Host*1;Micro USB Type A Device*1 USB 2.0 Host*2(1.25mm wafer)
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Microphone | 2W*2 Speaker output | ||
