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CE FCC 10000 Pixels 92% Accuracy Fever screening terminal

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Shenzhen Kadymay Technology Co., Ltd.

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CE FCC 10000 Pixels 92% Accuracy Fever screening terminal

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Brand Name :	Kadymay
Model Number :	KDM-FT8203EW
Certification :	CE FCC
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

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CE FCC 10000 Pixels 92% Accuracy Fever screening terminal

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

AI detection to reduce false alarms from other heat sources meet medical grade accuracy ±0.3 ℃
300ms temperature detection for one person
New face recognition system for identify people wearing masks

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

/ Support face recognition with respirator

l Face recognize without removing their respirator

l Forehead temperature measurement within 100ms

l Recognition accuracy> 92%

l Real-time temperature abnormal alarm

/ Various door opening methods

l Multiple verfication methods: faces, cards and more

l RS485,TCP/IP interface

Specifications

Specifications	KDM-FT8203EW
Thermal Module
Image Sensor	Vanadium Oxide Uncooled Focal Plane Arrays
Thermal Iaging Pxels	10000
Infrared Rsolution	*12090@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	*120mm226.5mm33.5mm*

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	*3030**
	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

Application Scenario

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