vest Computer Vision Project

OAKDev

Updated 2 years ago

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Classes (4)
Helmet
No-Helmet
No-Vest
Vest

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Description

Here are a few use cases for this project:

  1. Construction Site Safety: The "vest" model can be used on construction sites to detect whether all workers are wearing the necessary safety equipment (helmets and vests). It can help to enforce safety regulations and prevent potential workplace injuries.

  2. Industrial Plant Regulation: In industries such as manufacturing, chemical plants, or any heavy machinery environments, the model can monitor for compliance to safety protocols, identifying any personnel not equipped with the required safety helmets and vests.

  3. Rescue Operation Management: In rescue operations like firefighting, the model can be used to ensure all team members are correctly outfitted with helmets and vests before entering dangerous zones, thus potentially avoiding any additional harm.

  4. Traffic Control Safety: The system can assess safety compliance of traffic cops or highway maintenance crews who should be wearing safety vests and helmets. This can be particularly useful during night-time operations where visibility is low.

  5. Training and Education: The model can be used for imparting safety education and training, where it monitors and provides real-time feedback on whether the participants are wearing the correct safety gear whilst performing the training drills.

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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{
                            vest-pbrbu_dataset,
                            title = { vest Dataset },
                            type = { Open Source Dataset },
                            author = { OAKDev },
                            howpublished = { \url{ https://universe.roboflow.com/oakdev/vest-pbrbu } },
                            url = { https://universe.roboflow.com/oakdev/vest-pbrbu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-16 },
                            }