1 Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India.
2 Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India.

Article Id - JCET_5_01_001, Pages : 1-6, Date of Publication : 27, August 2022

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Scopedatabase Link : https://sdbindex.com/Document/document_search?title=FACE MASK DETECTION&type=1


Global pandemic COVID-19 circumstances included in dangerous disease in all the world. Wearing a mask on face will useful to reduce the spread of infection and prevent the individual from contracting any airborne infectious germs. Using Face Mask Detection System, one can find out if the people are wearing masks or not. Here HAAR-CASACADE algorithm is used for image detection. Combining with other existing algorithms, this classifier useful for a high recognition rate even with varying expressions, selection of efficient feature and low assortment of false positive features. HAAR feature-based cascade classifier system have recognition rate of 85-95%. According to this motivation we are work on mask detection as a unique and public health service system during the global pandemic COVID-19 epidemic. The model is trained by face mask image and without face mask image.


COVID-19 Epidemic, Face Mask Image, HAAR-CASACADE Algorithm, Mask Detection, Without Face Mask Image

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Patil Abhilash Arun and Prof. Gaikwad Jitendra Ashokrao, Face Mask Detection, Journal of Computer Engineering and Technology 5(1), 2022, pp. 1-6


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[3]    M. M. Rahman, M. M. H. Manik, M. M. Islam, S. Mahmud and J. -H. Kim, "An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network," 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020
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Publication years 2013-2023
Publication count 11
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