Comparative study of face mask detection using CNN and SVM Algorithms

Authors

  • Ms. Pooja P. Raj Research Scholar, Computer Science Engineering Dr. C.V. Raman University Bilaspur, C.G., India
  • Dr. Amrita Verma Associate Professor, Computer Science Engineering Dr. C.V. Raman University Bilaspur, C.G., India

Keywords:

CNN, SVM, Keras, Tensorflow, VGG

Abstract

During the COVID pandemic, most infected individuals develop mild to moderate respiratory symptoms and recover without develop mild to moderate respiratory symptoms and recover without the need for special care. Some, though, had gotten really ill and needed medical care. During this time, it is advised to wear a mask and maintain a proper distance to prevent the virus from spreading. This study compares and contrasts the CNN and SVM face mask recognition algorithms. This paper is divided into four sections: the introduction, the comparison algorithm analysis, and the result and conclusion regarding the content.
Keywords- CNN, SVM, Keras, Tensorflow, VGG.
I. INTRODUCTION

References

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Published

29-04-2023

How to Cite

Ms. Pooja P. Raj, & Dr. Amrita Verma. (2023). Comparative study of face mask detection using CNN and SVM Algorithms. International Journal for Research Publication and Seminar, 14(3), 61–66. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/468

Issue

Vol. 14 No. 3 (2023): Vol 14 | Issue 3 | NCASIT 2023

Section

Original Research Article

License

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