ppe_detection_with_yolov8 Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Industrial Safety Compliance: This computer vision model can be used for real-time monitoring in a variety of industrial settings. It can alert supervisors if workers are not wearing the proper personal protective equipment (PPE) such as hard hats (WH), helmets with visors (WHV), simple helmets (W), and visors (WV).
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Construction Site Safety: The model can enhance safety monitoring at construction sites by alerting site managers of any workers not wearing required headwear, potentially reducing accidents and improving adherence to safety regulations.
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Mining Operations: Miners must wear specific PPE for their own safety. This model can be applied to ensure that every miner is equipped with the correct safety equipment, especially in terms of head protection.
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Training and Safety Education: The model can be used to provide interactive and real-time training for new industry workers, demonstrating the importance of wearing proper PPE and identifying correct and incorrect PPE usage.
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Insurance Compliance: Insurance companies can use this model to ensure that businesses adhere to safety standards by properly using PPE, affecting insurance rates, claims and overall business liability.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ppe_detection_with_yolov8_dataset,
title = { ppe_detection_with_yolov8 Dataset },
type = { Open Source Dataset },
author = { school },
howpublished = { \url{ https://universe.roboflow.com/school-xhq28/ppe_detection_with_yolov8 } },
url = { https://universe.roboflow.com/school-xhq28/ppe_detection_with_yolov8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-11-25 },
}