VendiGo Test Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
Retail Stock Management: The "VendiGo Test" model can be used in retail stores for automatic monitoring and restocking of items on the shelves. The system could alert staff when a particular SKU is running low and needs restocking.
-
Automated Checkout: This model could be utilized for automated checkout systems, where customers simply pick up the items they want and the system identifies and totals the costs of the SKU items as they leave the store. It can minimize the need for staff at checkout counters and speed up the shopping process.
-
Customer Behavior Analysis: Retailers can use the "VendiGo Test" model to track which items are most commonly selected by customers. This information would help in arranging the retail space, placing commonly bought together items closer for increased sales.
-
Inventory Audit: The model could be used to perform quick and efficient inventory audits without having to manually count each product on the shelves. This application would save considerable time, especially in large retails stores with massive stocks.
-
Waste Reduction: By leveraging "VendiGo Test" to monitor shelves, supermarkets can better manage their inventory and sell products before they reach their sell-by date, ultimately reducing waste. This could be particularly useful for items with short shelf lives.
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{
vendigo-test-c6hzb_dataset,
title = { VendiGo Test Dataset },
type = { Open Source Dataset },
author = { Wavetec },
howpublished = { \url{ https://universe.roboflow.com/wavetec-wfsmx/vendigo-test-c6hzb } },
url = { https://universe.roboflow.com/wavetec-wfsmx/vendigo-test-c6hzb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-24 },
}