Face Detection and Recognition Studio

Table of Contents

• Runing Project
• Description
• Features
• Technology Used
• Project Demo

Runing Project

• You have to download OpenCV from this Documentation link
• You can also follow the steps in this video

Description

Face Detection and Recognition Studio uses the following algorithms:

• Cascade classifier for face detection.
• PCA for image feature extracting.
• SVM for predicting the person.

Features

• User can browse images from his pc.
• The project contains 2 tabs:
  • First Tab -> Face Detection.
  • Second Tab -> Face Recognition.

Technology Used:

The Desktop Application is built using:

• Qt6 Creator using C++.
• OpenCV Library.
• SVM machine learning model.

Project Demo

Face.Recognition.mp4

Screenshots

Made by:

Name	Section	BN
Ahmed Emad	1	6
Mohammed Mostafa	1	47
Mohab Ghobashy	2	39
Magdy Nasr	2	15
Youssef Kadry	2	58

• Course Name : Computer Vision .

Submitted to:

• Prof. Ahmed M. Badawi & Eng. Peter Emad and Eng. Laila Abbas

All rights reserved © 2022 to Team 3 - Systems & Biomedical Engineering, Cairo University (Class 2024)