yolov7 for ppe detection Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Construction Site Safety Monitoring: The "yolov7 for ppe detection" model can be used in construction sites to ensure that all workers are wearing the necessary personal protective equipment (PPE). The model can alert safety officers when someone is detected without proper PPE.
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Factory Compliance Checking: Manufacturers can use this computer vision model to ensure all factory workers are complying with PPE rules. The model can detect workers not wearing necessary equipment, providing evidence for potential OSHA violations.
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Training Simulations: The model can be employed in virtual reality or augmented reality for training simulations. Here, trainees would be alerted whenever they fail to "wear" appropriate PPE in the simulation, teaching them the importance of safety procedures.
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Emergency Situations Analysis: In disaster response or accident investigation, it can be used to assess if rescue and emergency medical teams followed safety protocols by wearing the correct PPE, by analyzing photos or video footage.
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Insurances and Litigations: The CV model could prove invaluable in personal injury cases, where it can be used to establish, via media evidence, whether a worker was wearing proper PPE at the time of an accident, potentially affecting compensations or liability claims.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yolov7-for-ppe-detection_dataset,
title = { yolov7 for ppe detection Dataset },
type = { Open Source Dataset },
author = { MMAI894College },
howpublished = { \url{ https://universe.roboflow.com/mmai894college/yolov7-for-ppe-detection } },
url = { https://universe.roboflow.com/mmai894college/yolov7-for-ppe-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-24 },
}