Mask Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Public Health Monitoring: The "Mask" computer vision model could be used in real-time video surveillance in public areas such as airports, bus stations, and shopping malls to detect individuals not adhering to mask-wearing guidelines, assisting in the enforcement of public health rules regarding COVID-19.
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Workplace Compliance: In workplaces where mask wearing is mandatory, the model could be deployed to ensure employees' compliance with the rules. This can be especially beneficial in healthcare settings, food processing units, or laboratories.
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Educational Institution Surveillance: Schools and universities can use this model to monitor if students and staff members are maintaining mask protocols to ensure a safe learning environment.
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AI-powered Mask-Wearing Awareness Campaigns: The model can help to accumulate data on mask compliance over time and across different locations. Authorities can use this data to drive awareness campaigns, focussed on areas and demographics with lower mask compliance.
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Building Entry Access Control: The model can be incorporated into access control solutions to permit entry only to those wearing masks, applicable in hospitals, corporate buildings, or other sensitive areas during a pandemic.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mask-vnwtu_dataset,
title = { Mask Dataset },
type = { Open Source Dataset },
author = { Shudarshan Kongkham },
howpublished = { \url{ https://universe.roboflow.com/shudarshan-kongkham/mask-vnwtu } },
url = { https://universe.roboflow.com/shudarshan-kongkham/mask-vnwtu },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-11-19 },
}