pepsi Computer Vision Project
Updated 3 years ago
145
8
Here are a few use cases for this project:
-
Inventory Management: Retail stores can utilize this model to automate inventory management tasks. The model can be deployed to identify individual beverages on store shelves, quickly providing an accurate count of stock levels and alerting staff when restocking is needed.
-
Recycling Centres: Recycling facilities can use this model to automate the sorting process. By identifying the type of beverage container (plastic bottle, glass bottle, can, etc.), the system can sort items into designated recyclable categories, improving efficiency and minimizing manual labor.
-
Quality Control at Production Lines: The "pepsi" model could be used in beverage production lines to ensure the correct labeling of products. The system can identify mismatches between physical products and their intended labels, ensuring that each product is correctly labeled before it leaves the factory.
-
Smart Vending Machines: Vending machine manufactures can incorporate this model into their designs to create "smart" vending machines. These machines could recognize the type and quantity of beverages in them, making automatic re-ordering possible and providing data to optimize stock levels based on purchasing patterns.
-
Customer Shopping Experience: Retail apps can use this model to help customers quickly find and identify their favorite beverages in a store. By pointing their smartphone camera at the beverage shelf, customers could easily find out product details such as price, nutritional information, and more.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pepsi-13bqu_dataset,
title = { pepsi Dataset },
type = { Open Source Dataset },
author = { long23tk2@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/long23tk2-gmail-com/pepsi-13bqu } },
url = { https://universe.roboflow.com/long23tk2-gmail-com/pepsi-13bqu },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-11-06 },
}