Breeze Traffic is seeking to enhance its intersection video analysis capabilities to improve real-time decision-making and safety systems. The project aims to leverage computer vision and V2X technology to analyze video feeds from intersection cameras more effectively. The goal is to identify and predict potential safety hazards, such as pedestrian crossings and vehicle collisions, in real-time. This project will allow learners to apply their knowledge of computer vision and visual AI to a practical problem, focusing on processing and interpreting camera or sensor-based data. The team will work on developing algorithms that can detect and classify various objects and movements within the video feeds, contributing to safer and more efficient traffic management systems.

The project deliverables will include a set of algorithms capable of enhancing video analysis from intersection cameras. These algorithms should be able to detect and classify objects and movements in real-time and communicate to vehicles using V2X. Additionally, a comprehensive report detailing the development process, testing results, and potential improvements will be required. The final deliverable will be a presentation demonstrating the enhanced video analysis capabilities and their impact on real-time decision-making and safety systems.