Face Mask Detection with alert system using Tensorflow, Keras and OpenCV

Bhole Varsha; Sakshi Tiwari; Vishal  Chaudhari; Vaishali  Patil

Authors

Bhole Varsha Dept. of Information Technology, A.C Patil College of Engineering, Navi Mumbai, India
Sakshi Tiwari Dept. of Information Technology, A.C Patil College of Engineering, Navi Mumbai, India
Vishal Chaudhari Dept. of Information Technology, A.C Patil College of Engineering, Navi Mumbai, India https://orcid.org/0000-0002-2315-9992
Vaishali Patil Dept. of Information Technology, A.C Patil College of Engineering, Navi Mumbai, India

Keywords:

Covid 19, Keras, MobileNetV2, Open CV, Tensorflow

Abstract

As Covid-19 is increasing day by day, it is important to make sure that we should overcome from this. But the question arises here is that how we can overcome from this? like wearing mask, sanitizing ourself, taking necessary precautions and all. Nowadays vaccines are must, do you really think after getting vaccinated you are safe? The answer is no vaccines are to boost up our immunity level, so that if you get infected it will be not much harmful to you, so here we have implemented an application Face mask detection with alert system where we can get to know that whether the person is wearing a mask or not. If person is not wearing a mask in the premises, campus a beep sound is generated to catch that person. In this application a screen is displayed which detects the human face with or without mask and shows the percentage score of the mask worn. This application will be useful for the areas were number of peoples are more like hotels, airport, schools and colleges. Here first the model is trained on a real-world dataset having with or without face mask and then we have trained our model with live video streaming. The accuracy is obtained by increasing and decreasing the epoch value.

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References

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