dotted-line Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Vehicle Navigation: This model could be pivotal in the development of autonomous vehicle software. By being able to accurately identify the different types of road lines, the self-driving system can understand road rules more effectively, leading to safer and more efficient travel.

2. Road Maintenance and Monitoring: Government or related agencies can use the model to automate the process of identifying road lines that need repainting or repair by scanning road images. This could significantly improve efficiency in road maintenance and traffic safety.

3. Traffic Rules Violation Detection: Using live street video feeds, the model can be used to identify traffic violation cases such as crossing solid lines or incorrect lane changes and can support traffic law enforcement agencies.

4. Traffic Simulation Software: The model can be employed to improve the realism and accuracy of traffic simulation software, allowing better city planning and traffic system design.

5. Computer Vision Training for Drivers: For new drivers or driving schools, the model can be used to create interactive software or augmented reality apps to help better understand the significance of different line markings- improving their knowledge and safety skills.