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TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 1
TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 2
TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 3
TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 1
TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 2
TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 3

TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал

Нүүр таних нь хүний ​​царайны мэдээлэлд суурилсан биометрийн таних технологи юм
Temperature Camera:
Binocular 2M+2M
User Capacity:
10000 person
Extended capacity:
8-128GB
Flash:
8GB
Recognition rate:
99.7%
Recognition speed:
0.5ms
Card reader:
Support
QR code:
Support
Language:
English, Thai, Japanese, Spanish, etc
Доорх маягтыг бөглөнө үү эсвэл бидний талаар илүү их мэдээлэл авах хүсэлт гаргахын тулд доорх маягтыг бөглөнө үү. Зурвасаа аль болох нарийвчлан бичнэ үү, бид хариуд нь хариу өгөх болно. Бид таны шинэ төсөл дээр ажиллаж эхлэхэд бэлэн байна, одоо эхлүүлэхийн тулд бидэнтэй холбоо бариарай.

    өө ...!

    Бүтээгдэхүүний мэдээлэл байхгүй байна.

    Нүүр хуудас руу яв
    Customization
    Support
    Place of Origin
    Shenzhen,China
    Model Number
    TGW-FMTT
    Product Name
    Built-in Infrared Temperature Camera Face Recognition Terminal
     

    Hardware introduction

    TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 4

    A high-performance dynamic   temperature-measuring   face recognition terminal, which is divided into gate installation and wall installation.

    The terminal integrates the functions of   off-line face recognition, temperature detection, mask recognition, identity verification, on-site face collection ,

    blacklist early-warning, photo taken after passing, active object detection. It adopts   WDR HD face recognition camera ,

    which is fully adapted to harsh environment such as   strong light, back light and weak light , with characteristics of   fast recognition speed ,

    high accuracy and large list storage capacity .

     

    Product details

    TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 5

     

    About temperature measurement face recognition terminal

    1. 8-inch   IPS full-view LCD display.

    2.Industrial-class appearance,   waterproof and dustproof design   which is   stable and reliable .

    3.Supports 3 0000 face   database. The 1: 1 comparison recognition rate is more than   99.7% , the 1: N comparison recognition rate is more than   96.7%@0.1%

    misrecognition rate,   and the live detection accuracy rate is   98.3%@1%   misrejection rate. Face recognition pass speed is   less than 1 second .

    4.Supports accurate face recognition and comparison while   wearing a mask .

    5.Using industrial-grade binocular wide dynamic camera, night infrared and LED dual photo flood lamp.

    6.Supports   human body temperature detection   and   temperature display . The best temperature detection distance is   0.5 meters .

    The longest distance at which body temperature can be measured is   1 meter . The measurement error is plus or minus   0.5 ℃.

    7.It only takes a few seconds for detection, and supports   automatic alarm   for body temperature abnormality.

    8.Attendance temperature measurement data is   exported in real time.

    9.Supports various peripheral expansions such as   ID card reader, fingerprint reader, IC card reader,QR code reader , etc.

    10.The documentation is complete and supports secondary development.

    11.Support   system level, APP offline level, APP + background network level multiple API docking .

     

    A collection of features to meet your different needs

    TGW-FMTT суурилуулсан хэт улаан туяаны температурын камерын царай таних терминал 6

                                               

     

    Advantages of temperature measuring face terminal

    1.Real living body detecting

    2.Recognition speed around 0.5ms

    3.Recognition rate very high,recogntion rate up to 99.7%

    4.Supppot recognize whole world race.

    5.Storage capacity max 2-50k/person

    6.Support language change for software

    7.SDK/API interface avaible

    8.Standalone use or with operate software

    9.Very good heat dissipation and system stability

     

    Application scenarios

    It can be used with application management systems such as face-based site real-name management system, face-based access control attendance management system and visitor management system, which is perfect for complex application scenarios that require temperature monitoring, identity recognition and access control, such as   communities, campuses, hospitals, scenic spots, hotels, shopping malls, office buildings, public places and construction sites . In terms of epidemic prevention and control, it effectively reduces the potential risks of large-area contact with human body during temperature measurement, shortens the temperature measurement time and   improves the temperature measurement efficiency . At the same time, centralized management provides   real-time data   support for the screening and tracing of suspected patients and floating population, and provides a   strong safety guarantee   for the management under the above scenarios.

    英文尺寸图.png

    1.   Support camera to capture face to activate device;

    2.   Human body temperature detection using thermal imaging; with access control attendance function;

    3.   Automatic alarm when human body temperature is higher than 37.3 ℃ (customizable temperature value);

    4.   Using RGB and living body dynamic binocular camera;

    5.   Supports serial port, Wiegand 26, 34 input and output;

    6.   Using video stream-based dynamic face detection,tracking recognition algorithm;

    7.   Support device local storage of 10,000 face libraries;

    8.   When the face database is 3,000 , misrecognition rate is 3 in 10,000, 1: N recognition accuracy rate is 99.7%;

    9.   Fast recognition speed: (a) face tracking and detection takes about 20ms, (b) face feature extraction takes about 200ms, (c)

    face comparison takes about 0.2ms(1000 people database, multiple identification to get the average), 0.5ms(10,000 face

    database,multiple identification to get the average);

    10.   Binocular with infrared fill light camera;

    11.   Support live photo saving during face recognition or stranger detection;

    12.   Support HTTP Interface connection;

    13.   Support public network and local area network deployment;

    14.   Support stranger ompared with ID card function;

    15.   Provide SDK development kits to support docking with major enterprises and institutions (docking);

     

     

     

     

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