Automated defect detection Final Year Project RP Computer Vision Project

Here are a few use cases for this project:

1. Recycling and Waste Management: This computer vision model can be implemented in smart recycling systems to automatically sort and separate recyclable materials, such as bottles, cans, paper, glass, and plastic, for improved recycling efficiency and reduced environmental impact.

2. Quality Control in Manufacturing: Manufacturers can use this system to automatically detect defective bottles in production lines, minimizing the likelihood of substandard products reaching the market and reducing waste generation.

3. Retail Shelf Monitoring: Retailers can implement the model in-store to autonomously monitor shelves for damaged or defective products, ensuring that customers receive high-quality items and maintaining a positive shopping experience.

4. Environmental Cleanup Efforts: This computer vision model can be employed in drone or robotic systems designed for beach and natural areas cleanup, helping to identify and remove littered bottles, cans, paper, glass, and plastic effectively and efficiently.

5. Waste Management Analytics: By incorporating this model into smart waste management systems, waste management companies can gather and analyze data on the types and quantities of materials being disposed of, enabling them to optimize waste collection schedules and develop more targeted recycling campaigns.