Face Mask Detection

Inspiration

Global Hack Week AI/ML

What it does

This project helps us to spread the awareness among people using face mask properly. It detects the face mask on your face whether the person is wearing mask or not and tells the percentage of the accuracy of wearing the face mask properly or not.

How we built it

All the dependencies and required libraries are included in the file requirements.text Clone my repo and install the libraries and the run the Face_Mask_detection.ipynb colab notebook for the image output.

Challenges we ran into

How to overcome with the overfit model then I add some dropout layer in the model and train it again for better accuracy.

Accomplishments that we're proud of

Finally overcome with the challenges and get the accuracy of 96% with prediction

What we learned

Learned about Machine Learning models and some techniques to make a model.

What's next for Face Mask Detection

The model is accurate, and since we used the simple Sequential Model architecture, it’s also computationally efficient and thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).

This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines.