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Details
Non-contact face recognition temperature measurement and access control is an important means to improve the normalized information management of epidemic prevention and control in Public area. It can provide personnel in hospitals and various public places with high risk of infection outbreaks. Provide convenience for entry and exit. Real-time mask wearing test, body temperature screening and health code identification verification are carried out for all entering personnel during a specific period, which can effectively improve the efficiency of temperature measurement and the level of epidemic prevention and control.
Advantage Of Face Attendance Management Device
* MTK Board To Support Faster Speed;
* Using 256*192 High Resolution Thermal Imaging Camera, Supporting RGB;
* Long Measure Distance: 0.3-1.2M
* The Product is Easy for Integrating into Turnstile Gate
* Support Time Attendance and Access Control
* Support Face Recognition to Open the Door
* Support for Dynamic Speech
* Standard SDK Data Interface is Available
Facial Temperature Measure System Parameters
F3-M34-TH Face Recognition Access Control System |
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Model No. |
F3-M34-TH |
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Display |
8 inches, Full viewing angle, 170IPS LCD screen |
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Screen Resolution |
800*1200 |
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Camera |
Type |
RGB |
Thermal Imaging |
Resolution |
2 Million Pixels |
256*192 |
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Aperture |
F2.8 |
F2.8 |
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Focal Length |
3.18mm |
3.18mm |
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White Balance |
Automatic |
Automatic |
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Wide dynamic |
Support |
Support |
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Vertical Wide Angle |
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Horizontal Wide Angle |
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Basic Specification |
Operating System |
Android9.0 or above |
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Power Supply |
DC12V(±10%)3A |
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Power Consumption |
15w MAX |
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Relative Humidity |
0%¨ 90%(In the State of Non-condensing Drops) |
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Operating Temperature |
5℃-50℃ |
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IP Grade |
IP55(Wall Mounting, Water is Not Allowed at the Junction with the Outlet Box, and a Ceiling Can Be Added) |
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Working Environment |
Indoor and Outdoor (with sunshade) Environment (no wind and direct sunlight) |
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Size |
275.2MM*123.2MM*30.2MM |
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Hardware Configuration |
Recognition Method |
¨ ¨Face Recognition |
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¨ ¨Mifare Card(Optional) |
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¨ ¨IC Card(Optional) |
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Face Recognition Parameters |
¨ ¨Face Verification Accuracy >99% |
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¨ ¨Face Recognition Distance 0.5m-1.5m |
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¨ ¨Card Verification Time 600MS |
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Local Storage 30000 faces |
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Interface |
Micro USB 1pc |
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RJ45 Gigabit Network 1pc |
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Relay Output |
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Wiegand Interface |
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RS-232 |
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Door Contact |
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Exit Switch |
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Power Supply |
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White Fill Light |
Support |
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Indicator Light |
Support Green Light for Authentication Success and Red Light for Authentication Failure |
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Speaker |
Dual Speakers, 1.0w |
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Microphone |
Non-noise Reduction |
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Basic Parameters |
WIFI |
2.4G 802.11b/g/n |
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Bluetooth |
BluetooH 4.0 |
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Temperature Measurement Module |
Operating Temperature |
5℃ ~ +50℃ |
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Operating Temperature |
-20℃ ~ +55℃ |
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Power consumption |
< 0.3w |
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Pixel |
256*192 Real-time Temperature Output |
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Measurement Accuracy |
± 0.5℃ |
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Measuring Distance |
0.3 ~ 1.0m |
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MTK
Motherboard |
Chip |
Octa-core A73 |
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Operating System |
Android9.0 |
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RAM |
2GLPDDR4 |
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Storage |
16GB eMMC |
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Power Input |
12V/2A |
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Display |
MIPI DSI Maximum Support Resolution 2400 * 1080 |
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WIFi |
2.4GHz and 5GHz;802.11a/b/g/n/ac |
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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 |
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