Active Member
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[China]
Address: 7th Floor, Comprehensive Building, Nankeng Second Industrial Zone, Bantian Street, Longgang District, Shenzhen City, Guangdong Province, China
Contact name:Lynn Lin
Shenzhen Kadymay Technology Co., Ltd. |
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Fever screening thermographic terminal
Temperature Measurement Face Recognition Algorithms Camera Thermal
Camera SIlver Color
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 |
| Face Spoofing | Support Face Spoofing Detection Using Active |
| 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 | Description |
| Algorithm accuracy | Face recognition (1: 1): | |
| Angle requirements | Yaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees | |
| Face requirements | Face size is more than 80 * 80 pixels in images | |
| 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 | |
| Non-living category | Non-living detection for pictures, videos, coated paper, face fake models, etc. | |
| 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, |
| surprised), mask, race, beard, race, hat detection, hard hat | |
| Age accuracy (± 5 years): more than 85%; Gender accuracy: 96% or
more; |
