Facemask Detection Using OpenCV

Authors

  • Bhushan Sonsale Student, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India
  • Ranjeet Singh Suryawanshi Professor, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India
  • Srinath Divate Student, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India
  • Harshit Srivastava Student, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India
  • Srushti Jagtap Student, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India
  • Sourav Jangral Student, Department of Engineering, Sciences, and Humanities, Vishwakarma Institute of Technology, Pune, India

Keywords:

Artificial Intelligence, COVID face detection, Machine Learning, Object (Mask) Recognition, OpenCV, Python

Abstract

The latest problem that has emerged throughout the world is the COVID-19 pandemic. It is the need of the hour to implement social distancing and wearing of Masks. But we are in a country where enforcement of rules is quite difficult. Here comes Artificial Intelligence into the picture and we intend to use Python as an interface to implement our project, Face mask detection software. We are using many inbuilt Python Libraries. In the near future, many public service providers will ask the employees and consumers to wear masks properly, while in the office premises. For instance if we integrate a software for IT offices where every person marks his/her attendance by scanning the Iris of the eye, this is the exact place where we can apply our face mask detection algorithm and the further course of action can be taken accordingly. The action after a user is found not wearing any Mask can be an SMS/Email can be sent to the registered user warning him to wear his/her mask and if he/she isn’t found wearing one for (say) 3 more times, the particular person will be fined some Amount. This will help us (as a country) to invigilate the COVID appropriate behavior by our fellow citizens. We have used a dataset of thousands of images, which will serve as test cases for real time detection for the code to run. The algorithm employs the dataset as a reference to detect the current event of detection. Also, for increasing the accuracy to a higher extent we will append the new cases into the already existing dataset.

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Published

14-11-2022

How to Cite

[1]
B. Sonsale, R. S. Suryawanshi, S. Divate, H. Srivastava, S. Jagtap, and S. Jangral, “Facemask Detection Using OpenCV”, IJRAMT, vol. 3, no. 11, pp. 19–21, Nov. 2022.

Issue

Section

Articles