Screw Computer Vision Project

Nickolay Andreevich

Updated 3 years ago

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Description

Here are a few use cases for this project:

  1. Quality Control in Manufacturing: In production lines that manufacture or use different types of screws, the "Screw" model could be deployed to ensure the correct type of screw is being used in each stage, thus increasing efficiency and quality control.

  2. Hardware Retail Management: Implementing the "Screw" model in hardware stores for inventory management. The model can help in automatically identifying and categorizing different types of screws, aiding in inventory updates and shelf stocking.

  3. Recycling and waste management: In a recycling or waste processing facility, the model could be used to identify screws in mixed waste for proper sorting and recycling.

  4. Screw Identification Tool: As a support tool for DIY enthusiasts, carpenters, and mechanics, where users can take a picture of a screw they have, and the model will identify the type, helping find replacements or usage instructions.

  5. Education and Training: In education sectors, specifically mechanical engineering or manufacturing, the model could be used to help students learn to identify different types of screws.

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Cite This Project

LICENSE
Public Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            screw-nml4x_dataset,
                            title = { Screw Dataset },
                            type = { Open Source Dataset },
                            author = { Nickolay Andreevich },
                            howpublished = { \url{ https://universe.roboflow.com/nickolay-andreevich/screw-nml4x } },
                            url = { https://universe.roboflow.com/nickolay-andreevich/screw-nml4x },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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