Products
KRN-5000 Fever Camera
MODEL : SAFE KRN 5000
AI Tech 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.
Highlight
· Fastest Detection (0.05s, the fastest in the market)
· Longer Detection Range (0.3M-1.2M, no misdetection and protect people)
- Highest Accuracy (±0.2 forehead temperature 99.9% face recognition: the best solution for access control)
Features
· AI algorithm automatically locates the person’s forehead
· 0.3-1.2 meters long measure range for body temperature
· 300ms face recognition + temperature measurement
· Wide dynamic range up to 120dB, the best anti-backlight
· Double star-light-level sensor, high picture quality
· Support thermal imaging over megapixel thermal imaging
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 |