Project Akhir Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Public Health Surveillance: The "Project Akhir" model can be employed in public areas like airports, train stations, or malls to identify individuals who are not wearing masks, in order to enforce public health regulations related to mask-wearing especially during pandemics like COVID-19.
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Educational Institutions: In schools and universities, the model can be used to ensure adherence to safety guidelines by identifying students or faculty members who are not wearing masks inside classrooms or on campus.
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Workplace Safety Compliance: In workplaces, the model can be utilized for real-time surveillance to identify employees who are not complying with mask-wearing guidelines, ensuring health safety at work.
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Crime Detection: Law enforcement agencies can potentially use this model to identify unmasked individuals involved in criminal activities where faces are clearly visible, aiding in crime investigation.
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Retail Compliance: In retail stores and supermarkets, the model could be used to identify customers who are not wearing masks, ensuring they follow the store's safety guidelines.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
project-akhir_dataset,
title = { Project Akhir Dataset },
type = { Open Source Dataset },
author = { Universitas Merdeka Malang },
howpublished = { \url{ https://universe.roboflow.com/universitas-merdeka-malang/project-akhir } },
url = { https://universe.roboflow.com/universitas-merdeka-malang/project-akhir },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-12-28 },
}