Traffic Intersection Vehicle Detection Computer Vision Project

Here are a few use cases for this project:

1. Traffic Management: This model could support traffic monitoring systems in real-time, providing dynamic traffic light adjustments based on the types and numbers of vehicles on the road to optimize flow and reduce congestion.

2. Vehicle Counting for Urban Planning: Urban planners and transportation engineers could use the model to gather statistical data on vehicle flow and types at different times and intersections, aiding in designing intersection modifications or urban infrastructure improvements.

3. Traffic Offences Detection: The model could be used as part of a surveillance system to identify potential traffic violations, like motorcycles and cars going into truck- or bus-only lanes, leading to enhanced road safety.

4. Autonomous Vehicles Navigation: Autonomous vehicles could utilize this model to better understand their surroundings, enabling them to make well-informed navigation decisions and ensuring safer interactions with different vehicle types on the road.

5. Studies on Emission Levels: The model could help in estimating emission levels at specific intersections or roads by identifying the types and number of vehicles passing through. This would guide in implementing measures to control pollution and promoting environment-friendly transportation methods.