<th id="95cfj"></th>
      <form id="95cfj"></form>

    1. <form id="95cfj"></form>

      Human witness comparison algorithm

      Witness comparison performance parameters (related to hardware configuration) :

      Face recognition core PC: simplified version of the program itself size 25M, advanced version 65M; Running space <100M;

      Face feature template size: sheet <1.5KB;

      Supported platforms: Android, IOS, Windows, Linux and embedded Linux;

      Hardware requirements: processor frequency > 1GHz;

      Android core hardware requirements: ArmeabI-V7A, more than 1 GB of memory, Android 4.0 or above;

      Face recognition:

       

      The ideal distance between the eyes is more than 40 pixels and more than 50 pixels.

      Can recognize the face image, the correct recognition rate of more than 98%

       

      Support multi-face positioning, single picture can identify more than 8 people;

      Can recognize the age of people, children, adolescents, youth, middle age, old age five stages, age identification accuracy of more than 80%;

      Can identify the gender of people, identification accuracy in more than 90%;

      Can recognize five expressions: happy, angry, surprised, sad, and expressionless cool.

      Image specifications: the distance between the eyes of the photo face is more than 40 pixels;

      Camera resolution: no less than 300,000 pixels;

      Head Angle: positioning up and down around plus or minus 45 degrees, identify up and down around plus or minus 20 degrees;

       

       

      Method of technology authorization:

      At present, core authorization is our main authorization method, which provides users with core dynamic library of recognition. Customers can realize face detection and face recognition according to our interface

      Supported platforms: Android (Java), Windows (c++/c#/ Java);

      Documents provided:

      image.png

      Encryption mode:

      PC (Windows) : Dongle encryption/network authentication;

      Android: Network authentication/encryption chip;

      Service Hotline

      0755-23288672

      TCI TECHNOLOGY LIMITED

      Customer service hotline: 0755-23288672
      Complaint hotline: 0755-23288672
      Front desk Tel.: 0755-23288672
      Corporate email: tci\tci-ai Com anti spam will \@
      Address: 3rd Floor, Building B, Yonglin Science and Technology Park, No. 1 Shangwei Industrial 1st Road, Zhangkengjing Community, Guanhu Street, Longhua District, Shenzhen


      Copyright Tongchuang intelligent industry (Shenzhen) Co., Ltd
      網站備案/許可證號:粵ICP備19143648號
      国产成人无码精品久久久小说