Monda Choclate Coolers Computer Vision Project

Here are a few use cases for this project:

1. Retail Inventory Management: The "Monda Choclate Coolers" model can be deployed in supermarkets or convenience stores to automate inventory management. By identifying specific product classes on the shelves such as 'cdm_classic_37' or 'cdm_bubbly_40,' management can gain insights into which products are sold out or low in stock.

2. Smart Vending Machines: This computer vision model can be utilized in smart vending machines to recognize which products are selected by the customer. When a product is picked, such as 'morobite_22' or 'large_cdm_hazlnut_90,' the machine can automatically determine the price and charge the appropriate amount.

3. Brand/Marketing Research: Market research firms can use this model to examine consumer behavior in physical stores, by reviewing store surveillance footage and identifying which products customers are reaching for most often – 'twin_mandolin_50' or 'choco_coated_oreo_17,' for instance.

4. Waste Management: Within facilities dedicated to collecting and sorting recycling, the model can help differentiate between different types of products (e.g., 'mandolin_25' vs 'cdm_hazlnut_37'). This could be particularly valuable in managing waste from candy wrappers, helping to streamline waste sorting processes.

5. Creating Augmented Reality Shopping Experiences: In an AR-enabled shopping app, the "Monda Choclate Coolers" model can identify specific product classes, allowing users to get detailed nutritional information or see promotional offers simply by pointing their phone at the product.