FodMBC Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Industrial Sorting: The FodMBC computer vision model would be ideal for industrial environments where it is necessary to sort small components such as nuts, bolts, springs, washers, etc. These items could be quickly identified and sorted into their respective bins, increasing efficiency and reducing the risk of error.
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Quality Control: In manufacturing, the model can be used to perform quality control, identifying unwanted objects like stones or sticks that have somehow gotten mixed in with the components.
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Tool Automation: It can be used in tool automation to identify specific tools such as spanners, screwdrivers etc. in an automated repair or assembly line.
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Environmental Clean-Up: The model could be used in environmental cleanup efforts to identify and categorize common types of waste or debris (plastic, stones, sticks, etc.), assisting in the efficient removal and recycling of materials.
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Road Maintenance: The model can be used in road maintenance to identify and sort out specific types of debris or obstructions on the road (such as stones or sticks), supporting quick and efficient clean-up efforts.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fodmbc_dataset,
title = { FodMBC Dataset },
type = { Open Source Dataset },
author = { Shapes },
howpublished = { \url{ https://universe.roboflow.com/shapes-t2ft3/fodmbc } },
url = { https://universe.roboflow.com/shapes-t2ft3/fodmbc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-21 },
}