arthurfortes/face_mask_detection

A deep learning based on MobileNet architecture to detect whether a person is wearing correctly a mask or not.

39
/ 100
Emerging

This helps operations managers or business owners ensure compliance with mask-wearing policies in public or private spaces. It takes live video feed or images as input and identifies individuals who are not wearing a mask, or are wearing one incorrectly. This tool is for anyone responsible for health and safety protocols, such as security personnel, retail managers, or event organizers.

No commits in the last 6 months.

Use this if you need an automated way to monitor mask compliance in real-time, for example, at an entrance or within a monitored area.

Not ideal if you need a solution that can identify individuals or track compliance over long periods across multiple, disconnected locations without central integration.

safety-compliance access-control public-health workplace-safety event-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

15

Forks

8

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 03, 2021

Commits (30d)

0

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