Facemask Detector in Surveillance for COVID-19 
Sai Vignesh Ramisetty1, D Madhumita2, K Yashwanth Chowdary3
1Sai Vignesh Ramisetty*, B. Tech, Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2D Madhumita, B. Tech, Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3K Yashwanth chowdary, B. Tech, Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on June 20, 2021. | Revised Manuscript received on June 30, 2021. | Manuscript published on July 30, 2021. | PP: 64-66 | Volume-10, Issue-9, July 2021 | Retrieval Number: 100.1/ijitee.I93560710921 | DOI: 10.35940/ijitee.I9356.0710921
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to this unexpected pandemic we are going on these days, wearing a face mask became mandatory to save ourselves as well as others from the virus. But it is difficult to monitor every citizen whether he is wearing a mask or not. But it is very important. So, to overcome this problem we came up with a solution to monitor every citizen using a deep learning concept. So, we are developing a face mask detector with opencv/keras. This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it. We tried using different types of platforms such as mobilev2net and resnet architecture but the accuracy of resnet architecture is more compared to the other architecture.
Keywords: This helps us to easily identify the persons wearing masks or not which helps us in taking safety measures according to it.