ReedZyd / Qt_Identification

Qt_Identification

A real-time face recognition and age estimation system.

Intro

The system uses Seta Face as the core algorithm for face recognition and SSR-Net for age estimation. The human-computer interaction interface is written based on Qt, and the overall system is implemented on a 43-inch vertical all-in-one. In addition, a parallel execution of face recognition and age estimation is carried out by multi-thread technology.

• Excellent graduation thesis in Shandong University, 2019.
• Demo

Overall Design

Hardware Implementation

Human-Computer Interaction Interface

Reqirements

• Qt: 5.6.3
• Qt Creator: 4.0
• Seeta Face: 1.0
• Opencv: 4.3.1

More

Seeta Face: https://github.com/seetaface/SeetaFaceEngine

SSR-Net: https://github.com/shamangary/SSR-Net