Where Skills Meet Innovation
This project was my final year project, aimed at leveraging computer vision and machine learning technologies to assist in automated criminal identification and crime detection using facial recognition systems. The system was designed to identify individuals from images or real-time video streams and match them against a database of known criminal records, helping security agencies and law enforcement detect and track suspects effectively.
Handling facial similarity variations (angle, lighting, and facial expressions) Minimizing false positives in real-time detection Training and tuning face encoders for accuracy Building a smooth interface for scanning and reporting Integrating multiple components (camera, database, recognition engine)
The system successfully detected faces from images and live camera feed. Accurately matched faces with existing records in the criminal database. Showcased the potential of AI-powered facial recognition in enhancing crime-fighting tools. Demonstrated as a working prototype to the project defense panel and was well received.
