Covid Thermal Detection and Facemask Clocking In Units

Covid Thermal Detection and Facemask Clocking In Units


Fast Detection 

(0.05s, the fastest in the market) 

Long Detection Range 

0.3m~1.2m, no mis-detection and protect people) 

High Accuracy 

(±0.2forehead temperature 

99.9% Face recognition: fantastic solution for access control ) 


Powerful AI Chipset

With ISP technologies, images are able to avoid shadowing shorten the detection.


For preventing the spread of COVID-19 (Coronavirus),

Thermal Detector with Time attendance system that adopts the new AI chipset, large thermal sensor array, and the latest algorithm, providing the cutting-edge face recognition and body temperature detection, with ability to detect if employees are wearing a mask.


High Accuracy

± 0.2 ° C forehead temperature detection

Face recognition

the best solution for access control and time attendance system Fast Detection 50ms temperature + 200ms face recognition measurement

Long detection Range

0.3 m ~ 1.2 m forehead body temperature detection

Wear mask recognition

Support face recognition with face mask, recognition rate> 95% Detection range: up to 2 meters
Supports 1: 1 or 1: N face comparison

Attribute recognition

Can be set up to recognise if employees are wearing hard hates etc.

Variety of door access control Support

Face recognition for door access control, compatible with many brands.

multi-language support

English, Spanish, French, Italian, Russian, Japanese, Korean UI


Hardware Specifications Model Hero-TD01-G 
Item Specification 
Sensor Type Uncooled infrared focal plane array 
Infrared Thermography camera 120*90 
Thermal measurement range 0.3m-1.2m 
Thermal measurement accuracy ±0.2℃ 
Processer AI chipset ARM Cortex-A7 quad-core, 4 x high performance CEVA DSP 
OS Linux 
Storage 8GB EMMC+1GB DDR4 
LCD 7 inch, 1024*600 resolution 
Sensor Dual 2Mp, low lux sensor 
WDR ≥120dB 
FoV (Diagonal/horizontal/ vertical) 73degree /65 degree /40 degree 
Iris F2.0 
Focus length 4.3mm 
Biopsy Anti-electronic screen, video, mask hacker attack 
Recognize height 1.2~2.2 meter, angel adjustable 
Detection range 0.5m~2m, lens adjustable 
Face library 30,000 (default) 
Attendance Record 30,000 
Face angle horizontal 30 degree, vertical 30 degree 
Alarm input 2 pcs 
Alarm output 1 pcs 
Access control Push out 
Power supply DC12V , 2A ( 9 -16V DC) 
Power consumption Less than 24W 
Ethernet 1 pcs RJ45 10M / 100M Ethernet 
Wifi 2.4G Wi-Fi (Optional) 
USB 1 pcs USB 2.0 
Working Temperature -40 ℃~ + 60 ℃.
Dimensions 120mm*226.5mm*33.5mm 


Algorithm Parameters Application Items Description 
Face recognition Face recognition Local recognition: 30,000 (default ) 
Algorithm accuracy 99.9%@0.01% (The accuracy rate is 99% under the 10,000th false alarm rate) 
Angle requirements Yaw ±30°,roll ±30°,pitch ±15° 
Face minimum pixels Face size above 80 * 80 pixels 
Face biopsy detection Angle requirements Yaw ±30°,roll ±30°,pitch ±15° 
Face pixel requirements Interpapillary distance 50 pixels and above 
Algorithm accuracy 98%@0.01% (Real pass rate@Dummy pass rate) 
Non-biopsy category Pictures, videos, coated paper, fake face models, etc. 
Face detection and tracking Number of people captured More than 30 people / frame 
Snap frame rate 25fps 
Minimum face size 30*30 
Adaptation angle Yaw ±45°,roll ±45°,pitch ±30° 
Face attribute Item Gender, age, glasses, facial expression (angry, calm, happy, sad, surprised), mask, ethnicity, beard, ethnicity, hat detection, helmet detection 
Algorithm accuracy Age accuracy (± 5 years old): more than 85%; 

Gender accuracy: more than 96%; Skin color accuracy: more than 97%; Beard accuracy: more than 97%; Glasses accuracy: more than 98%; Mask accuracy: more than 98%; Has accuracy: more than 97%; Expression accuracy: more than 88% 


Dynamo LED Displays


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