Thesis_RVM Computer Vision Project

Here are a few use cases for this project:

1. Recycling Facilities: The "Thesis_RVM" model can automate the segregation processes in recycling facilities. By properly identifying bottles, cans, crumpled bottles, and crumpled cans, the model can guide robotic sorting machines to separate these items efficiently for further recycling treatment.

2. Retail Inventory Management: Retail stores can use the model to track and manage their inventory of bottled and canned items. It could optimize their inventory keeping processes by identifying the presence of products on shelves, especially those that are damaged or crumpled.

3. Urban Waste Management: Cities can deploy the model in smart waste bins or garbage trucks to identify the content of waste. It helps in providing data for strategic planning about waste reduction, specifically targeting plastic bottles and can wastes.

4. Consumer Goods Inspection: Manufacturers can use this model to improve their quality control processes. By identifying crumpled cans and bottles, they can prevent defective products from reaching consumers.

5. Environmental Monitoring: The model can be used to analyze drone or surveillance footage to track litter in public areas. It can identify discarded bottles and cans, even if they are crumpled, helping authorities in their cleanup efforts.