Broken filaments - POY - Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Textile Industry Quality Control: This model can be implemented in the textile industry to quickly detect broken filaments in POY (Partially Oriented Yarn) during the production process. Real-time anomaly detection can prevent defects in the finished product, save resources, and improve operational efficiency.
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Plastic Production Monitoring: Another application could be in plastic fiber production, where POY is also used. The early detection of broken filaments can ensure higher quality plastic fibers and reduce wastage.
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Fabric and Apparel Manufacturing: In fabric production and apparel manufacturing, this model could pre-examine the POY before it enters the weaving or knitting processes, contributing to increased fabric strength and durability.
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Fiber Production in Construction Materials: The model can play a significant role in ensuring the strength and durability of construction materials that include fiber elements, such as certain types of concrete and insulating materials, by identifying defects early in the production process.
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Education and Training: The model could be used for educational purposes, helping students in textile engineering and related fields understand and identify issues in POY production, thereby training them to mitigate the occurrence of such defects in the future.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
broken-filaments-poy_dataset,
title = { Broken filaments - POY - Dataset },
type = { Open Source Dataset },
author = { Thema2MERMEC },
howpublished = { \url{ https://universe.roboflow.com/thema2mermec/broken-filaments-poy } },
url = { https://universe.roboflow.com/thema2mermec/broken-filaments-poy },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-23 },
}