Bathinda_mask1 Computer Vision Project

new-workspace-phqon

Updated 3 years ago

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Classes (4)
human mask
no_mask
unregognised
Description

Here are a few use cases for this project:

  1. Public Health Enforcement: The "Bathinda_mask1" model can be used by public health authorities to analyze CCTV or drone footage to identify individuals not wearing masks in public areas. This can help in enforcing public health policies, especially during times of pandemics.

  2. Retail Compliance: Retail companies can use this model to monitor customers entering their premises to ensure everyone is wearing masks, thereby ensuring a safe shopping environment and adhering to prevailing health regulations.

  3. School Safety: The system can be installed in schools or universities to monitor mask compliance among students, staff, and visitors, contributing to a safer learning environment.

  4. Public Transportation: The model can be used in train stations, airports, or bus stations to monitor mask compliance among commuters and facilitate interventions when necessary.

  5. Workplace Safety: Businesses can use this model to monitor employees, ensuring mask usage in the workplace is maintained, promoting a safe working environment.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            bathinda_mask1_dataset,
                            title = { Bathinda_mask1 Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-phqon },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-phqon/bathinda_mask1 } },
                            url = { https://universe.roboflow.com/new-workspace-phqon/bathinda_mask1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-14 },
                            }