Industrial_Dataset Computer Vision Project

PJTS8IA

Updated a year ago

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Classes (11)
Glass Gloves Helmet
No-Helmet
Not_Safety_Boot
Not_Safety_Vest
Person
Prise_libre
Prise_occupe
Safety-Boot
Safety-Vest

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Description

Here are a few use cases for this project:

  1. Manufacturing Safety Monitor: This model could be invaluable in manufacturing or construction settings to monitor the personnel's safety gear compliance. It can monitor workers, identifying if they are wearing safety vests, helmets, and boots at all times and issue alerts if safety protocols aren't met.

  2. Inventory Management: It can be used in warehouses to manage stock levels of safety equipment such as helmets, safety boots, and gloves, by identifying items and recording their presence.

  3. Automated Supervision for Electrical Works: Detecting the use of outlets such as whether they are free (Prise_libre) or occupied (Prise_occupe), the model can be used to automate supervision of electrical works, ensuring that appropriate safety protocols are observed.

  4. Personal Protective Equipment (PPE) Training: The model can recognize proper and improper use of safety gear (Not_Safety_Boot, No-Helmet, Not_Safety_Vest) making it useful in PPE training software for better demonstration and assessment.

  5. Public Safety & Surveillance: The model can be utilized for public surveillance, specifically in areas where there is ongoing construction or in industrial zones, to ensure everyone present is compliant with safety norms and regulations.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            industrial_dataset_dataset,
                            title = { Industrial_Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { PJTS8IA },
                            howpublished = { \url{ https://universe.roboflow.com/pjts8ia/industrial_dataset } },
                            url = { https://universe.roboflow.com/pjts8ia/industrial_dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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