A critical and comparitive analysis on face mask detection using deep learning algorithms

Reports indicate that sporting the mask at doing any method reduces the prospect of inflicting the security from the sickness we are journeying to use the dataset to create face mask detection by the use of the deep gaining knowledge of algorithms. Our version will come across whether a person wears...

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Bibliographic Details
Main Authors: Yalla, Prasanth, Dama, Surekha, Ginjupalli, Chandana, Ginjupalli, Krishnaveni, Gudapati, Rashmitha Krishna
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Machine learning
Masks
Pandemics
Online Access:Get full text
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Summary:Reports indicate that sporting the mask at doing any method reduces the prospect of inflicting the security from the sickness we are journeying to use the dataset to create face mask detection by the use of the deep gaining knowledge of algorithms. Our version will come across whether a person wears a mask or not and therefore the accuracy of the human beings that are wearing a mask and no longer sporting a mask. We use the diverse standards to stumble on the mask of humans in a totally pandemic situation. Wearing a protecting mask has emerged as unique every day. Therefore, this method is thought is to come across face mask detection inside the pandemic scenario. As a document, it takes the entire results of mask detection of people with masks or not carrying masks. The method finally gives accuracy up to 99.77 percent. By the use of the deep getting to know algorithms, we are able to find the mask detections of the people.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0161762