AI Thermal Detector with TA System
Model: AITD-720
Empire Pro New AI Thermal Detector AITD-720 adopts an AI chipset,
large thermal sensor array and latest algorithm which provides
cutting-edge face recognition and body temperature detection, with
the ability to detect even with a mask on.
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Check in your staff..
The AITD-720 can check temperature, acts in access control, unlock
doors and at the same time assist in checking in your staff without
contact.
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High Accuracy
±0.2 ° C forehead temperature detection
99.9% Face recognition: the best solution for access control
and time attendance system
Fast Detection
50ms temperature + 200ms face recognition measurement
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Wide detection Range
0.3 m ~ 1.2 m forehead body temperature detection
0.5 m~ 2 m face recognition
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Wear mask recognition
Support face recognition with face mask, recognition rate >95%
Supports 1: 1 or 1: N face comparison
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Attribute recognition
Supports detection of race, hard hat, skin color, etc.
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Super backlight suppression
Support face exposure, automatic adjustment according to strong light
Support nighttime 3D noise reduction, provide best quality in darkness
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Variety of door access control
Support face recognition or door access control
Customizable multi-language
English, Spanish, Italian, Russian, Japanese, Korean.
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Hardware Specifications
Model |
AITD-720 |
Item |
Specification |
Sensor Type |
Uncooled infrared focal plane array |
Infrared Thermography camera |
120*90Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
Thermal measurement distance range |
0.3m-1.2m |
Thermal measurement range |
30-45℃ |
Thermal measurement accuracy |
±0.2℃ |
Hardware |
|
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 |
Camera |
|
Sensor |
Dual 2Mp, low lux sensor |
WDR |
≥120dB |
FoV (Diagonal/horizontal/ vertical) |
73°/65°/40° |
Iris |
F2.0 |
Focus length |
4.3mm |
Performance |
|
Biopsy |
Anti-electronic screen, video, mask hacker attack |
Face Recognize height |
1.2~2.2 meter, angle adjustable |
Face Detection range |
0.5m~2m, lens adjustable |
Face library |
50,000 (default) |
Attendance Record |
50,000 |
Face angle |
horizontal 30 degree, vertical 30 degree |
Interface |
|
Access control |
Push out |
Power supply |
DC12V , 2A ( 9 -16V DC) |
Power consumption |
Less than 20W |
Ethernet |
1 pcs RJ45 10M / 100M Ethernet |
Wifi |
2.4G Wi-Fi |
USB |
1 pcs USB 2.0 |
General |
|
Working Temperature |
-40 ℃~ + 60 ℃. |
Dimensions |
120mm*226.5mm*33.5mm |
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Algorithm Parameters
Application |
Items |
Description |
Face recognition |
Face recognition |
Local recognition: 50,000 (default ) |
Algorithm accuracy |
99.9%@0.01% (The accuracy rate is 99% under the 10,000th false alarm rate) 95%@0.0001% (The accuracy rate is 95% under the one-millionth 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%; |
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