Face Mask Detection Using CNN

[mahesh-11102]

What actually my model does

During Covid-19 period wearing mask is crucial one, so I've developed a ML project which can detect multiple faces and show the result. I've even worked on Arduino which turns the camera towards the face and send the signal to the machine to detect the face using OpenCV and displayed the result.

Different Model used to detect the faces?

• I tried detecting faces using available pretrained models like YOLO, RESNET-50 and many more, after detecting the face I've cropped out the faces and sent it to my model and it will detect whether mask is present or not.
• Using Arduino I've implemented 360° rotated camera and the ML model will detect the faces and displays the result.

Additional context

CNN Architecture of the model

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Accuracy, loss of the model

Acuracy Percentage of the model

Testing snapshot of the Model

[varsha089]

Please assign it to me, I have worked on these types of project in my computer vision coursework and i am confident that i can complete this successful.

[khusheekapoor]

@mahesh-11102 - you can go ahead! We are assigning you 21 days for this project, after which it will be assigned to someone else if not completed. All the best! Name the file as: algorithm_dataset.ipynb and link it in the readme of the labeled directory as algorithm - dataset.

@varsha089 - since we are following the first-come-first-serve policy, we will not be able to assign you this issue. However, you can create another issue and use the same algorithm (CNN) on a different dataset.

[UditSharma9999]

I'm a contributor for GSSoC '23, I want to work on this issue. Please assign me.