CDIO 3 ugers Computer Vision Project

Here are a few use cases for this project:

1. Sports Equipment Management: Sports facilities and organizers can employ this model for efficient management and inventory tracking of different types of golf balls (white, orange, etc.) It can also help in tracking the condition and identifying lost balls on a golf course.

2. Robotics Courses: Institutions providing robotics courses can use this model as a practical tool for students. It can help students understand the applications of computer vision in field robotics and ball-tracking robots.

3. Sporting Goods Stores: Retailers or online marketplaces selling sporting goods can utilize this model in their inventory managing systems. It can accurately classify images of different golf balls and equipment, streamlining their product categorization and search functionality.

4. Integrated in Ball Retrieving Robots: The model can be implemented in autonomous robot systems designed to retrieve balls from golf courses or practice ranges. By identifying the location and type of golf balls, these robots can selectively collect specific ones if needed.

5. Sport Event Streaming: For live sporting events or golf matches, this model can be used to better track the movement of the ball, providing viewers with enhanced ball tracking features. This use case can further improve user experience by offering more interactive and comprehensive visuals during live streaming.