Object detection for traffics Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Vehicle Navigation: The model could be used by self-driving vehicles to identify and categorize other vehicles, pedestrians, and traffic signals, helping them to make more informed decisions while navigating.

2. Traffic Management: Governments or municipal bodies could use the model to monitor and manage traffic flow in real-time, using cameras to identify the types and quantities of various vehicle-pedestrians classes and manage traffic lights or publish traffic updates accordingly.

3. Security and Surveillance: The model can be integrated into CCTV networks in cities, allowing for improved surveillance by being able to detect and classify different classes of objects moving around, such as identifying suspicious activities like a van parked in a no-parking zone or sudden increase in pedestrian movement at an unusual hour.

4. Accident Analysis & Prevention Tools: The model can be utilized in accident investigation to identify and analyze the types of vehicles involved and their movements prior to the incident. It could also be used in real-time accident prevention tools, identifying potential risks and warning drivers or traffic management systems.

5. Traffic Studies and Urban Planning: Researchers could use the model to understand the patterns of different classes of vehicles and pedestrians in various areas, aiding in traffic analysis and urban planning—such as designing roads, pedestrian walkways, parking zones, etc.