| Autor: |
Yalla, Prasanth, Dama, Surekha, Ginjupalli, Chandana, Ginjupalli, Krishnaveni, Gudapati, Rashmitha Krishna |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2754 Issue 1, p1-6, 6p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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