01-10 BM Computer Vision Project

Here are a few use cases for this project:

1. Traffic Monitoring and Law Enforcement: Automatically detect and report instances of distracted driving, such as drivers using cellphones, smoking, or not keeping their hands on the wheel. This can help law enforcement identify dangerous driving behavior and increase overall road safety.

2. Insurance Claims Analysis: Streamline the insurance claim process by using the model to analyze images or video evidence submitted with claims, identifying drivers' or passengers' actions that might have contributed to accidents or damages, such as using a phone, smoking, or not paying proper attention to the road.

3. Educational Material for Driver's Training: Create realistic simulations or educational materials to teach drivers about the dangers of various forms of distracted driving. This can include generating example images for presentations, training materials, or quizzes to test learners on identifying improper driving behaviors.

4. Public Safety Awareness Campaigns: Develop engaging multimedia content for public service announcements, targeting various forms of distracted driving (phone usage, smoking, etc.). This can include custom images, video clips, or infographics that showcase the risks associated with specific distractions and encourage safer driving habits.

5. In-Car Monitoring System Development: Integrate the computer vision model into in-car monitoring systems to provide real-time alerts and feedback to drivers, helping them recognize when they are engaging in distracted driving activities (e.g., using their phone, holding a cigarette, driving with one hand). This could encourage drivers to practice safer habits and potentially reduce the occurrence of accidents.