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300ms 92% Face Recognition Temperature Measurement Thermal Camera

    Buy cheap 300ms 92% Face Recognition Temperature Measurement Thermal Camera from wholesalers
     
    Buy cheap 300ms 92% Face Recognition Temperature Measurement Thermal Camera from wholesalers
    • Buy cheap 300ms 92% Face Recognition Temperature Measurement Thermal Camera from wholesalers
    • Buy cheap 300ms 92% Face Recognition Temperature Measurement Thermal Camera from wholesalers

    300ms 92% Face Recognition Temperature Measurement Thermal Camera

    Ask Lasest Price
    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
    • Product Details
    • Company Profile

    300ms 92% Face Recognition Temperature Measurement Thermal Camera

    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

    • 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


    SpecificationsKDM-FT8203EW
    Thermal Module
    Image SensorVanadium Oxide Uncooled Focal Plane Arrays
    Thermal Iaging Pxels10000
    Infrared Rsolution120*90@15fps
    Temperature Distance0.3-1.5m
    Temperature Accuracy±0.3 ℃
    Hardware
    processorAR9201
    operating systemLinux
    storage8GB EMMC+1G DDR4
    LCD7 inches, 1024 * 600 resolution
    Optical Module
    Image Sensor2 million effective pixels, 1920 * 1080 SONY IMX
    Signal to noise ratio≥50db(AGC OFF)
    Wide dynamic range≥120dB
    CameraDual cameras, 650nm and 850nm NIR

    Face recognition
    performance


    Face Spoofing

    Support Face Spoofing Detection Using Active
    Near-Infrared Videos

    Verfication height1.2 ~ 2.2 meters, adjustable angle
    Faces capacity30000
    Verfication distance0.3 ~ 2 meters, variable depending on the lens
    Face angle30 degrees left and right, 30 degrees up and down
    Interface
    Alarm input2 alarm inputs
    Alarm Output1 alarm output
    power supplyDV12V
    Network Interface1 RJ45 10M / 100M Ethernet port
    1 *2.4G wifi module (optional)
    1 *4G module (optional)
    usb interface1 USB 2.0 interface
    Wiegand interface1 pair Wiegand interface
    Machine parameters
    Operating temperatureOperating temperature: -40 ° c ~ + 60 ° c
    PowerMaximum power <24w, 12v power supply
    Dimensions120mm*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 requirementsYaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees
    Face requirementsFace size is more than 80 * 80 pixels in images



    Face live detection

    Angle requirementsYaw ± 30 degrees, roll ± 30 degrees, pitch ± 15 degrees
    Face requirementsFace size is more than 80 * 80 pixels in images
    Algorithm accuracy

    98%@0.01% (real person pass rate @false person pass
    rate)

    Non-living categoryNon-living detection for pictures, videos, coated paper, face fake models, etc.


    Face detection and tracking

    SnapshotsMore than 30 people / frame
    Snapshot frame rate25fps
    Smallest face30*30
    Adaptation angleYaw ± 45 degrees, roll ± 45 degrees, pitch ± 30 degrees
    Attribute contentGender, 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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