Screws_detection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Industrial Quality Control: This model could be used in automated assembly lines or factories to ensure the correct type of screw is used during the production. It can help in reducing manual errors and optimizing the manufacturing process.
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Hardware Retail: In a hardware store, the Screws_detection model could facilitate the quick inventory of different types of screws, thereby improving organization and customer service.
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Augmented Reality Applications: This computer vision model could enhance AR apps used in home improvement or construction by accurately identifying screw types, providing the user guides on how to use them appropriately.
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Recycling and Waste Management: The model can be used to detect, identify, and sort screws in waste management facilities, aiding in the recycling process and segregating these components from general waste.
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Education and Training: It could be utilized in online learning platforms or industrial training sessions, to help students or trainees learn and differentiate between various types of screws.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
screws_detection_dataset,
title = { Screws_detection Dataset },
type = { Open Source Dataset },
author = { Matthew Perryman },
howpublished = { \url{ https://universe.roboflow.com/matthew-perryman/screws_detection } },
url = { https://universe.roboflow.com/matthew-perryman/screws_detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-11-21 },
}