PPE POC Computer Vision Project

PPE POC

Updated a year ago

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Classes (12)
0
1
2
FullPPE
Helmet-NoVest
NoPPE
Vest-NoHelmet
helmet
no-helmet
no-vest
person vest

Metrics

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Description

Here are a few use cases for this project:

  1. Construction Site Safety: The "PPE POC" model can be used to ensure that all construction workers are wearing appropriate PPE at all times. For instance, it can detect if a person is without a safety helmet or vest and send an alert to a safety officer.

  2. Factory/Industrial Compliance: In factories or industries where specific PPE is mandatory, the technology can help maintain adherence to safety policies by identifying any workers not fully complying with PPE requirements.

  3. Health and Safety Training: The model can assist in training programs where students learn about the importance of personal protective equipment. Through real-time feedback, they can understand exact PPE application scenarios.

  4. Insurance Liability: Insurance companies could use the analyzed images from the model to assess compliance to safety protocols in the event of a workplace accident claim.

  5. Emergency Response Analysis: The solution can be useful for evaluating emergency response drills or actual scenarios, helping to determine if responders are correctly using their personal protection equipment in diverse situations.

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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{
                            ppe-poc_dataset,
                            title = { PPE POC Dataset },
                            type = { Open Source Dataset },
                            author = { PPE POC },
                            howpublished = { \url{ https://universe.roboflow.com/ppe-poc/ppe-poc } },
                            url = { https://universe.roboflow.com/ppe-poc/ppe-poc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-09-24 },
                            }
                        
                    

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