SeniorDesignCorrectLabelling Computer Vision Project

Here are a few use cases for this project:

1. Smart Traffic Management: The "SeniorDesignCorrectLabelling" model can be used to analyze real-time traffic situations. By identifying essential objects like cars, pedestrians, traffic lights, and signs, the model can help improve traffic control by adjusting signal timings or providing route recommendations to drivers and pedestrians.

2. Road Safety and Incident Detection: The model can be integrated into CCTV or other surveillance systems to identify hazardous or unusual situations, such as people crossing roads where there are no crosswalks, accidents, or obstructed signs. This information can help authorities take immediate action to resolve the problem and improve overall road safety.

3. Urban Planning and Infrastructure Upgrades: By analyzing images of various street elements like signs, crosswalks, and benches, urban planners can identify areas that need improvement, such as updating signage or adding more pedestrian-friendly infrastructure like benches and crosswalks.

4. Autonomous Vehicle Assistance: This computer vision model can be used as a component of an autonomous vehicle's decision-making process. By accurately identifying objects on the road, the model can help self-driving cars make safer decisions and better navigate through complex traffic environments.

5. Enhanced Navigation Systems: The "SeniorDesignCorrectLabelling" model can be integrated into GPS navigation systems to provide more accurate and context-aware directions. By considering real-time traffic conditions and recognizing street signs, the system can offer improved route guidance for drivers, cyclists, and pedestrians.