webXtreme Helmet and Face Mask detection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Workplace Safety: This model could be used to ensure safety regulations in hazardous workplaces (like construction sites or manufacturing plants), by constantly monitoring whether employees are wearing their essential protective gear like helmets and face masks.
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Public Health Monitoring: The model could be deployed to surveil public spaces or track adherence to mask regulations during public health crises such as the COVID-19 pandemic.
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Sports Analytics: The model could be used in analyses of sports matches since some sports require specific protective gear. It can identify whether players are following the rules and wearing the appropriate gear when on the field.
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Traffic Monitoring: The model could be utilized by traffic enforcement agencies to identify whether riders/motorbike users are wearing helmets for ensuring road safety rules are adhered.
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Entertainment Industry: Movie and entertainment companies can use this model during the production process to ensure that stuntmen or actors are following safety measures and wearing the necessary protective equipment while shooting potentially dangerous scenes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
webxtreme-helmet-and-face-mask-detection_dataset,
title = { webXtreme Helmet and Face Mask detection Dataset },
type = { Open Source Dataset },
author = { webxtreme srl },
howpublished = { \url{ https://universe.roboflow.com/webxtreme-srl/webxtreme-helmet-and-face-mask-detection } },
url = { https://universe.roboflow.com/webxtreme-srl/webxtreme-helmet-and-face-mask-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-12-23 },
}