BFMC Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Driving Systems: This model can be used in self-driving cars to recognize traffic signs, pedestrians and road markings, aiding in navigation, safety, and parking decisions. It can detect stop lines, one-way road signs, closed-road stands, highway exit signs, crosswalk signs, stop signs, highway entry signs, round about signs, etc., which are all essential features for autonomous navigation.

2. Traffic Management Systems: The model can be used for intelligent traffic management systems where, in real-time, traffic signals, priority signs, one-way or no-entry signs can be identified and monitored. This would enable better and more efficient management of traffic flow in cities.

3. Urban Planning and Infrastructure: City planners can use the model to analyze existing infrastructure such as locations and concentrations of parking spots or to identify high traffic areas. It could help in planning the placement of new parking spots, pedestrian crossings, or road signs for better urban development.

4. Traffic Violation Detection: The model could be used in a system to detect traffic violations. It can identify if a car has stopped past a stop line, is parked in an unauthorized spot, has taken a wrong turn at a one-way road, or failed to give priority where required.

5. Road Safety Improvement: This model could help identify areas missing crucial signage or where signage is not visible enough. Using this information, city authorities could take action to improve road safety by adding or repairing needed signs and markings.