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
网站备案/许可证号: