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An Intelligent System for Face Mask Recognition using Open Computer Vision and Modified YOLO Algorithm

Publication Type : Conference Paper

Publisher : IEEE

Source : 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 24-26 November 2022, INSPEC Accession Number: 22645765, DOI: 10.1109/INDICON56171.2022.10040177.

Url : https://ieeexplore.ieee.org/document/10040177

Campus : Bengaluru

School : School of Computing

Verified : No

Year : 2022

Abstract : Face Mask detection is not just one of the most researched problems in Computer Vision, but it’s also a critical task in a wide range of applications. Face mask recognition is a difficult problem with many applications. Most automated face mask detection analysis algorithms on the market today are designed to recognize whether a human has weared mask or not. As a result of deep learning, there is now face mask recognition has made significant progress. Three algorithms will be used in the method to recognize face mask. Few algorithms are used like You Only Look Once (YOLO), Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). A brief description on above said algorithm is covered in this research paper. These algorithms assistances in public places to recognize the face mask or not wearing a face mask and then provide the results of it.

Cite this Research Publication : E. Soumya, Tripty Singh, S. Santhanalakshmi, "An Intelligent System for Face Mask Recognition using Open Computer Vision and Modified YOLO Algorithm", 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 24-26 November 2022, INSPEC Accession Number: 22645765, DOI: 10.1109/INDICON56171.2022.10040177.

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