Sdoba Computer Vision Project

Here are a few use cases for this project:

1. Bakery Inventory Management: Sdoba can be used by bakery owners to track the inventory levels of various pastry items in real-time by identifying and counting them in images taken within the store or production area. This helps to manage stock effectively and plan for replenishments.

2. Automatic Billing System in Cafes/Canteens: The computer vision model can be integrated into a Point of Sale (POS) system to automatically recognize and bill customers for their selected pastries. This helps to speed up the checkout process and reduce manual errors during billing.

3. Quality Control in Production: Sdoba can be leveraged by pastry manufacturers to identify and inspect the quality of their products, including shape, uniformity, and appearance. Images taken during the production process can be analyzed to ensure the products meet the desired standards and immediately flag any inconsistencies.

4. Recipe App Integration: By using Sdoba, recipe apps can recognize and suggest corresponding recipes for users based on the images of the pastries they upload. This makes it easier for users to find and recreate their favorite pastry dishes at home.

5. Nutritional Analysis Assistance: The model can be further developed to estimate the nutritional content (calories, fat, etc.) of each pastry class recognized in the images, allowing diet tracking apps or smart restaurant menus to provide more accurate nutritional information to users based on their selected pastries.