With specialized AI chipset and sophisticated algorithm
Howen AI Thermal Detectors are the proven effective solution
for thermal detection and access control.
Howen AI Thermal Detector
Model: Hero-TD01-G
Product Description:
Howen latest AI Thermal Detector is the most ideal solution in the market to detect body temperature and identify the potential infected.
It is equipped with an advanced AI chipset and sophisticated algorithm, which tremendously boosts the detecting speed and temperature accuracy beyond the market average products.
The specialized double-size sensor array empowers it to recognize faces with an accuracy of 99.9%, and it is able to precisely recognize objects even with masks.
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Dual Starlight Lens
2
Thermal Imaging Camera
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7” LCD Screen
with Customizable Intersurface
4
Embedded Speaker
5
Optional Base Stand
Product Highlights
0.05S FASTEST DETECTING IN THE MARKET
0.3M-1.2M, No MIS-DETECTION & CONTACT-FREE
±0.2 ACCURATE FOREHEAD TEMPERATURE
Customized Installation
Moreover, our AI thermal detector can be installed everywhere easily with the alternative stands.
Can not find the right one? No worry, we provide customizable service to tailor dedicated stands according to your situations.
Proven by Real Cases
“They just walk right up to it, you will see it (the temperature) on the video”
—— said David Janofa, Superintendent of Poland School.
AI Thermal Monitor Prevent Covid-19 for U.S. Food Bank
Howen AI Thermal Detector Safeguarded Canadian Businesses in Holiday Operation
This is How Howen AI Thermal Scanners Restarted Institutions in Bahrain
AI Thermal Detectors Quicken Testing Process in Australian Pharmacies
U.S. Schools Selected Howen AI Thermal Detector for COVID-19
Applied Industries
Interested in more detailed information about Howen and AI thermal detector？
Feel free to contact us by info@howentech.com or click the button below to tell us more details.
Technical Parameters
| Item | Specification |
| Resolution | 120*90 |
| Thermal measurement range | 0.3-1.2m |
| Thermal measurement accuracy | ±0.2℃ |
| Hardware | |
| Processor | AI chipset ARM Quad-core, 4 x DSP |
| OS | Linux |
| Storage | 8GB EMMC+1GB DDR4 |
| LCD | 7 inch，1024*600 resolution |
| Camera | |
| Sensor | Dual 2Mp, low lux sensor |
| WDR | ≥120dB |
| Iris | F2.0 |
| Focus length | 4.3mm |
| Performance | |
| Anti-spoofing | Anti-electronic screen, video, mask hacker attack |
| Face Recognize | 1.2~2.2 meter, angle adjustable |
| Face library | 50,000 |
| Attendance Record | 50,000 |
| Face angle | horizontal 30 degrees, vertical 30 degrees |
| Interface | |
| Alarm input | 2 pcs |
| Alarm output | 1 pcs |
| Access control | Push out |
| Power | DC12V ( 9 -16V DC) |
| Ethernet | 1 pcs RJ45 10M / 100M Ethernet |
| Wifi | 2.4G Wi-Fi (Optional) |
| USB | 1 pcs USB 2.0 |
| Wiegand | 1 pcs |
| Algorithm Parameters | |
| Face recognition | 99%@0.01%
95%@0.0001% |
| Face anti-spoofing detection | 98%@0.01%
Anti-spoofing category： Pictures, videos, coated paper, fake face models, etc. |
| Face attribute | Gender, age, glasses, facial expression (angry, calm, happy, sad, surprised), mask, ethnicity, beard, ethnicity, hat detection, helmet detection |
| General | |
| Working Temperature | -40 ℃~ + 60 ℃ |
| Dimensions | 120mm*226.5mm*33.5mm |
| Power consumption | Less than 24W |