Trolle Skripsi Computer Vision Project

Here are a few use cases for this project:

1. Inventory Management: The Trolle Skripsi model can be used by retailers and warehouses to automate the process of managing and tracking the stock of Indonesia-FMCG products, ensuring timely restocking and minimizing inventory errors.

2. Retail Checkout Automation: This computer vision model can be integrated into self-checkout systems to identify and authorize purchased items efficiently, thus speeding up the checkout process and improving customer experience at grocery stores and supermarkets.

3. Smart Vending Machines: Incorporate the Trolle Skripsi model into vending machines to enable automated detection and dispensing of Indonesia-FMCG products, enhancing customer convenience and reducing the need for manual restocking.

4. Visual Aid for Visually Impaired Shoppers: Trolle Skripsi can be integrated into mobile applications that assist visually impaired individuals in identifying and locating their desired Indonesia-FMCG products, improving their shopping experience and increasing their independence.

5. Market Research: Researchers can use the Trolle Skripsi model to analyze social media images and videos to gain insights into consumer preferences, trends, and product consumption across various demographics - providing valuable information for product development and marketing strategies.