pedestrian crossing Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Driving Systems: The "pedestrian crossing" model could be used in self-driving cars or other autonomous vehicles to identify different road markings and conditions, such as block (blockade), haaientanden (shark's teeth used in some countries to indicate that drivers must yield the right of way), path (road/pathway), d (unknown class), and damaged surfaces. This would allow the system to navigate safely and effectively.

2. Road Maintenance Planning: Local authorities or public works departments could use the model to identify roads with damaged markings or surfaces. By spotting these issues earlier, they can plan road repairs or replacements more efficiently and maintain a higher level of road safety.

3. Traffic Management Systems: Traffic control systems could use the model to assess road conditions in real-time and generate alerts for potential hazards like blockades or damaged roads. It could aid in providing real-time updates to GPS navigation systems for better route planning.

4. Road Conduct Training Applications: Driving schools or traffic education programs could use the model within training simulations or applications to test learners' recognition and understanding of different road markings which will eventually aid in improving road safety.

5. Motorbike Safety Applications: An app could be developed for motorbike riders which, using a mounted camera, feeds video through the model to alert riders of changing road conditions or crossings.