Face Mask Detection using Python, Keras, OpenCV and MobileNet | Detect masks real-time video streams

In this Python programming video, we will learn building a Face Mask Detector using Keras, Tensorflow, MobileNet and OpenCV. We will also see how to apply this on a Live Video Camera. With further improvements these types of models could be integrated with CCTV cameras to detect and identify people without masks.

The face mask detector didn't use any morphed masked images dataset. The model is accurate, and since the MobileNetV2 architecture is used, 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 are followed.

Feel free to play around with the code, change the parameters and come ip with better accuracy. Let me know the changes in the comment section.

Stay tuned for more such videos and subscribe to the channel

#python #FaceMaskDetection #keras #tensorflow #opencv

Introduction and Demo: (0:00)
Install Dependancies: (1:18)
Dataset: (2:10)
Data Preprocessing: (2:58)
Training: (9:03)
Run and View Accuracy: (17:09)
Use model in real time Camera: (18:20)
Final Result: (25:30)

[andreeasrh]

In my opinion, I think that you are the best Indian who makes tutorial like this. Very very very easy to follow and you learn so much! Thanks! ❤

[kingchan]

you save my life from my class project Thank you bro!!!

[neeloholic]

This project saved my life at the last moment of my codeathon
Thank you very much Sir
It helped a lot

[rakeshranjankumar]

Thank u sir very very much aaj apke wajah se bina project kiye hi marks mil jaeyga..thank u

[abhishekd]

Hi balaji, I'm in the beginning of Deep Learning concepts right now. Thanks for this video, this really keeps me motivated. After finishing those concepts I'll come back to this project.

[marksathish]

lot of subject, much better than many youtube videos

[leojoyjr]

This is the First video ...
And you got my subscription 😍

Perfect explanation

[h.o.p.e]

Thanku so much sir.. Wonderful project. All things worked in 3hours

[CodeMuscle]

Amazing tutorial. You're underrated bro. <3 your work.

[ramandeepsingh]

very helpful brother you saved me from deadline of project submission

[masterjay_photography]

Thank you so much. I've done this for my semester project and it is working perfectly.:)

[liamhan]

If I were to run this on raspberry pi, will I have to convert both the mask_detecting model AND the face recognition model to tflite? Or just the tf lite?

[contico]

Amazing youtube channel for python projects

[danielaramirez]

Bro.... You are great at what you do. Good Job!!!

[skyskitchen]

Youtube never rewards valuable content

[chaithanyarajashekhar]

Amazinggg!! Perfect speed, understandable thank you so much for this video!!

[artistry]

Very nice video and simply explained... Many thanks..

[uniqueemperor]

WHAT IF SOMEONE HAS BIG BEARDS .??WILL IT BE DETECTED AS MASK??

[shwetanshusood]

Thank u so much for help. Past few days i was having many errors. And now after seeing this. All my doubts are cleared❤❤

[rajsaraiya]

Amazing work Balaji can i know what is the training and validation accuracy you have achieved???