Face Mask Detection with 93% Accuracy

Face Mask Detection Project:

In this period of covid pandemic, wearing masks on face have become crucial than ever before. This is the new norm.

To create a statistical analysis of the number of people wearing masks while being in the open, a project to detect facial masks has been developed by Kushal Bhavsar

In short, this system can detect whether a person has weared mask on their face or not using object detection approach offered by Deep learning AI framework - Tensorflow.

Who can benefit from this project?

Factories, Industries, Offices and Government agencies can use this system at the entry gate to allow only the people that are wearing a face mask to reduce the spread of Novel Corona Virus.

Project is currently in research mode. But you may use the resources below to see how it works!

Demo:

Algorithm/Framework used for the project:

Deep learning Tensorflow

Tutorial Content:

Installation Guide:

• Install Anaconda(Python 3.7) & Tensorflow GPU (Version 1.15 TF)
• First Download Object Detecion official code from here
• Then Download this Repository via GIT or zip.
• Download Training.zip
• In the Repository extract Training Zip.
• Now copy all the files & folders from the repository.
• Go to the master/research/object_detection and paste all files & folders of the repository to there.
• Open face_mask_detection.ipynb in Jupyter and give the image in which you want to detect Mask(Mentioned in code).

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