CV_dataset Computer Vision Project

Here are a few use cases for this project:

1. Assistive Technology for the Visually Impaired: This computer vision model could be used in developing a smartphone-based assistant for visually impaired individuals. It could provide real-time recognition of obstacles (like traffic cones, curbs, staircases, and drains) and navigational aids (like canesticks and white canes), warning the user about potential hazards and helping them navigate more efficiently.

2. Urban Planning and Safety Audits: Municipalities and urban planners could use this model to conduct safety audits on public spaces. It could help identify poorly marked curbs, obstructed staircases, or misplaced traffic cones that could pose a safety risk to pedestrians.

3. Autonomous Vehicles Navigation: Autonomous vehicles could integrate this model to better understand their surroundings, recognize pedestrian aids like white canes, and ensure safer operation in urban environments by identifying potential obstacles such as curbs, cones, staircases, and drains.

4. Surveillance and Incident Analysis: The CV_dataset could be used in surveillance systems to identify anomalies like misplaced traffic cones, fallen canesticks, or opened manhole covers, potentially in real-time, leading to quicker incident response.

5. Maintenance and Operations for Public Utilities: Public utility companies could use this model to assess infrastructure condition, by recognizing objects like drains and manhole covers. It could facilitate their routine inspection procedure and help to prioritize maintenance schedules.