The Criminal Face Detection System project aims at building a system that can detect faces in images on video streaming. It then compares them with known criminal faces stored in a database to identify a match.

Learning outcomes:

• Work with Java image processing libraries like OpenCV
• Implementation of the face detection algorithm 
• Integrate databases with Java applications to identify face matches with criminals
• Use of GUI for building an intuitive user interface 

What it takes to execute this project:

• Set up the development environment 
• Include external libraries like OpenCV for image processing and in-built functions for face detection and feature extraction 
• Create a database to store information and images of known criminals using MySQL 
• Use face detection algorithm like the Haar Cascades to detect faces in images and video frames
• Write Java code to extract facial features and compare the unknown faces with known criminals 

Real-world applications:

• Security systems can use these tools to identify authorised people and suspicious individuals entering restricted areas
• Lawyers can use them to analyse video footage from public places to identify suspects or missing person 
• Smartphones and similar devices use face detection systems to unlock them, make payments, and apply filters on photos 
• The marketing team can implement similar tools for targeted advertising on digital displays 

👉 Find the source code