GCPL Computer Vision Project

Here are a few use cases for this project:

1. Retail Inventory Management: The GCPL model can be utilized by retail stores to track inventory by scanning shelves and identifying different product classes. This can enhance stock management and prevent out-of-stock scenarios.

2. Automated Payment Systems: This model can facilitate the development of cashless and cashierless stores. Customers pick products, and computer vision technology identifies them and automatically adds them to the customer's virtual shopping cart for payment.

3. Ecommerce Recommendation Systems: Online shopping platforms can utilize the model to classify product images uploaded by consumers, enabling them to recommend similar products or other items within the same product class.

4. Quality Control: Manufacturing companies could use this model to ensure consistent product labeling and packaging. The model could identify any items that do not match the expected product class or have faulty packaging.

5. Data Analysis for Marketing Strategy: By analyzing the quantity and variety of detected product classes in different store locations, companies can glean insights into product popularity and regional preferences, informing marketing and sales strategies.