Final Computer Vision Project

Here are a few use cases for this project:

1. Inventory management: The "Final" computer vision model can be employed by supermarkets, convenience stores, and warehouses to identify and track the stock quantity of various snack products, helping to maintain optimal inventory levels and reduce manual checks.

2. Automatic product classification for e-commerce: This computer vision model can be used to identify and classify snack product images on online shopping platforms, ensuring that the products are correctly categorized and easy for customers to find via search.

3. Self-checkout systems: Implementing the "Final" model in self-checkout machines can help customers quickly identify and pay for their snack products, enhancing the customer experience and speeding up the checkout process.

4. Nutrition information extraction: A system using the "Final" computer vision model can be combined with an API or database to automatically extract nutritional information of the identified snack products, allowing consumers to make informed dietary choices.

5. Smart vending machines: The "Final" model can be integrated into vending machines to allow for easy recognition of various snack products, making the stocking process more efficient, and providing real-time updates about inventory in the machine.