Scanmax F3 series infrared thermal imaging face recognition temperature measurement decive combined with the needs of epidemic prevention and user experience with the functions of rapid and accurate temperature measurement and health code recognitions. It aims to solve the existing problem of close measuring distance,slow recognition speed ,and heavy labor temperature measurement that used in the government,school,enterprises,high-end hotels,hospitals,exhibitions,and retail industries and so on.
Facial Recognition Door Access Advantage
*MTK Board To Support Faster Speed;
*Using 256*192 High Resolution Thermal Imaging Camera, Supporting RGB;
*Long Measure Distance: 0.3-1.2m
Features of Face Recognition Thermometer
* Record the data at the same time of rapid temperature measurement
* 2 megapixel RGB camera can be used for rapid temperature measurement of single person and code scanning
* Provide voice broadcast and API interfaces in up to 15 languages, plug and play power interface
* Chinese and English platforms are available
* Face recognition in strong light and backlight
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-M34-F Facial Thermal Camera Sensor | |||
Model No. | F3-M34-F | ||
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 | ||
