Vehicle detection and tracking with image data

Abstract

The major goal of this project is to create and deploy a vehicle recognition and tracking system utilising AI and machine learning techniques. The system should be able to properly recognise and track cars in pictures or video streams, regardless of lighting conditions, occlusions, or complicated traffic circumstances. Conventional approaches may rely on handmade characteristics or simple algorithms, resulting in limited resilience and scalability. The aim is to provide a system that achieves high detection and tracking accuracy while preserving real-time speed.Traditional vehicle recognition and tracking technologies frequently struggle for accuracy and efficiency, particularly in dynamic situations with several moving objects. Conventional approaches may rely on handmade characteristics or simple algorithms, resulting in limited resilience and scalability. We hope to address these constraints by using AI and ML technologies that use the ability of deep learning for feature representation and learning complex patterns in vehicle appearance and motion.