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| Categories | Body Temperature Access Control |
|---|---|
| Brand Name: | Kadymay |
| Model Number: | KDM-FT8203EW |
| Certification: | CE FCC |
| Place of Origin: | China |
| MOQ: | 50pcs |
| Price: | USD648/pcs， Negotiated |
| Payment Terms: | L/C, D/A, D/P, T/T, Western Union, MoneyGram |
| Supply Ability: | 200per week |
| Delivery Time: | 5-16 |
Fever screening thermographic terminal
Introduction
Based on AR9201 AI chip, with the support of powerful computing power and face recognition algorithms, Our Fever Screening Thermographic Terminals are designed to detect elevated skin-surface temperatures, and can thus be used for rapid and preliminary fever screening in office buildings；new face recognition system for identify people wearing masks, granting access only to verified personnel and eliminating possible fraudulent activities.
Highlights
Features
/ High sensitivity thermal module
l Measure forehead area only with AI face recognition algorithms
l Vanadium Oxide Uncooled Focal Plane Arrays
l 120*90 high resolution in thermal channel
l Temperature Distance: 0.3-1.5m
l Temperature Accuracy:±0.3 ℃
l Reliable fever detection alarm
l Face recognize without removing their respirator
l Forehead temperature measurement within 100ms
l Recognition accuracy> 92%
l Real-time temperature abnormal alarm
l Multiple verfication methods: faces, cards and more
l RS485,TCP/IP interface
| Specifications | KDM-FT8203EW |
| Thermal Module | |
| Image Sensor | Vanadium Oxide Uncooled Focal Plane Arrays |
| Thermal Iaging Pxels | 10000 |
| Infrared Rsolution | 120*90@15fps |
| Temperature Distance | 0.3-1.5m |
| Temperature Accuracy | ±0.3 ℃ |
| Hardware | |
| processor | AR9201 |
| operating system | Linux |
| storage | 8GB EMMC+1G DDR4 |
| LCD | 7 inches, 1024 * 600 resolution |
| Optical Module | |
| Image Sensor | 2 million effective pixels, 1920 * 1080 SONY IMX |
| Signal to noise ratio | ≥50db(AGC OFF) |
| Wide dynamic range | ≥120dB |
| Camera | Dual cameras, 650nm and 850nm NIR |
Face recognition performance |
| Face Spoofing | Support Face Spoofing Detection Using Active Near-Infrared Videos |
| Verfication height | 1.2 ~ 2.2 meters, adjustable angle |
| Faces capacity | 30000 |
| Verfication distance | 0.3 ~ 2 meters, variable depending on the lens |
| Face angle | 30 degrees left and right, 30 degrees up and down |
| Interface | |
| Alarm input | 2 alarm inputs |
| Alarm Output | 1 alarm output |
| power supply | DV12V |
| Network Interface | 1 RJ45 10M / 100M Ethernet port |
| 1 *2.4G wifi module (optional) | |
| 1 *4G module (optional) | |
| usb interface | 1 USB 2.0 interface |
| Wiegand interface | 1 pair Wiegand interface |
| Machine parameters | |
| Operating temperature | Operating temperature: -40 ° c ~ + 60 ° c |
| Power | Maximum power <24w, 12v power supply |
| Dimensions | 120mm*226.5mm*33.5mm |
Algorithm parameters
| Scenes | Supported algorithms | Description |
| Algorithm accuracy | Face recognition (1: 1): 99%@0.01% (accuracy rate is 99% under 0.01% false rate) 95%@0.0001% (95% accuracy under 0.0001% false positive rate) | |
| Angle requirements | Yaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees | |
| Face requirements | Face size is more than 80 * 80 pixels in images | |
Face live detection | Angle requirements | Yaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees |
| Face requirements | Face size is more than 80 * 80 pixels in images | |
| Algorithm accuracy | 98%@0.01% (real person pass rate @false person pass rate) | |
| Non-living category | Non-living detection for pictures, videos, coated paper, face fake models, etc. | |
Face detection and tracking | Snapshots | More than 30 people / frame |
| Snapshot frame rate | 25fps | |
| Smallest face | 30*30 | |
| Adaptation angle | Yaw ± 45 degrees, roll ± 45 degrees, pitch ± 30 degrees | |
| Attribute content | Gender, age, glasses, expression (angry, calm, happy, sad, |
Face attribute recognition | surprised), mask, race, beard, race, hat detection, hard hat detection | |
Algorithm accuracy | Age accuracy (± 5 years): more than 85%; Gender accuracy: 96% or more; Skin tone accuracy: above 97%; Beard accuracy: above 97%; Glasses accuracy: more than 98%; Mask accuracy: more than 98%; Hat accuracy: above 97%; Expression accuracy: 88% or more |
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