Pickable and Unpickable Pallet detection Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Warehouse Management: The model could be utilized within warehouse applications to help streamlining operations. It can automatically scan pallets and classify them as pickable or unpickable. This can expedite sorting processes, reduce manual work, and minimize errors.
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Automatic Workflow Improvement: In manufacturing industries, this model can be used to optimize production lines. By quickly identifying unpickable pallets, the system can automatically re-route these to maintenance or disposal, reducing bottlenecks.
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Supply Chain Optimization: Logistic companies can apply the model to determine the usability of the pallets before shipment, enhancing the efficiency of load planning and overall supply chain management.
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Waste Management: Recycling and waste management firms could deploy such a model to segregate pallets that can be recycled (pickable) from those that need to be discarded (unpickable), contributing to more effective and sustainable waste management practices.
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Retail Operations: In large retail operations, the model could assist staff in quickly identifying whether a pallet can be used for display or stocking items. This can save valuable time and manpower in large-scale store set-ups.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pickable-and-unpickable-pallet-detection_dataset,
title = { Pickable and Unpickable Pallet detection Dataset },
type = { Open Source Dataset },
author = { sundharesan-kumaresan },
howpublished = { \url{ https://universe.roboflow.com/sundharesan-kumaresan/pickable-and-unpickable-pallet-detection } },
url = { https://universe.roboflow.com/sundharesan-kumaresan/pickable-and-unpickable-pallet-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-24 },
}