MTRE 4800 Containers Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Waste Management: This model could be used to streamline recycling or waste disposal processes. It may identify, separate, and sort different containers based upon their material and sizes, resulting in more efficient recycling efforts.
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Retail Inventory Management: The model can assist in monitoring container stock levels, identifying the types and numbers of boxes or buckets on the shelves or in the storage room. This can be particularly useful to automate inventory tracking in supermarkets or warehouses.
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Construction and Manufacturing: On construction sites or within manufacturing settings, the model could assist in identifying and organizing different containers used for materials or tools. It can specifically pick out orange buckets, medium black boxes, or white styrofoam boxes, ensuring workplace efficiency and safety.
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Shipping and Logistics: The model can streamline the process of identifying and sorting various containers based on their sizes and types in ports, warehouses or distribution centers, facilitating quicker and more effective logistics.
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Smart Home Automation: The model can help in creating an intelligent storage system at homes or workplaces. It would identify the containers and suggest the optimal way to organize them, promoting better space utilisation and tidiness.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mtre-4800-containers_dataset,
title = { MTRE 4800 Containers Dataset },
type = { Open Source Dataset },
author = { Angelicia Franklin },
howpublished = { \url{ https://universe.roboflow.com/angelicia-franklin/mtre-4800-containers } },
url = { https://universe.roboflow.com/angelicia-franklin/mtre-4800-containers },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-11-16 },
}