Face Mask Detection Using OpenCv and Machine Learning
2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
; : 80-85, 2022.
Article
in English
| Scopus | ID: covidwho-1992629
ABSTRACT
In this pandemic corona virus put a huge impact on our daily life and It also put a huge impact on global trade. Protect face has become a new trend and It has become normal this day. Now these day or in future many people will required to were mask in order to protect themselves and also to protect nearby people and also to the surrounding. Face detection has become important in protecting worldwide population. So in this project we are making AI machine to recognize a people who is wearing a mask or not. It will helps us to protect the environment from spreading the virus. To build this project we need the help machine learning, deep learning and neural network which will help us to achieve the aim of this project. The tolls we required to achieve this project is jupyter notebook and we have to install the numpy, opencv, tensorflow and numpy and learning tool. This approach will help us to detect the person is wear mask in the picture as well as in the picture. It will also recognize and identify a moving face and mask. © 2022 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
Year:
2022
Document Type:
Article
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