VehicleOV Computer Vision Project

Here are a few use cases for this project:

1. Traffic Monitoring Systems: "VehicleOV" can be applied in traffic surveillance cameras to classify and count the number of specific vehicles (cars, motorcycles, trucks, etc.) on roads at different times of the day. This could help in traffic management and planning.

2. Automated Parking Systems: This model could be used to monitor parking spaces, identify and allocate spots according to vehicle classes.

3. Autonomous Vehicle Development: Autonomous vehicles require advanced machine learning models to understand their surroundings. "VehicleOV" can help in identifying different vehicle types in real-time, enhancing the decision-making process of self-driving cars.

4. Transportation Research: Researchers and urban planners can use "VehicleOV" for acquiring data on transportation trends, like the standard types of vehicles most commonly used in a particular area or time.

5. Security and Surveillance: In the context of security, the model can be used in cameras placed at vital points like toll gates, borders or entry and exit points of restricted areas. By identifying vehicle classes, it could help authorities in recognising suspicious or unregistered vehicles.