Smart Door / COVID-19 Face Mask Detection
Pavan Narayana A1, Janardhan Guptha S2, Deepak S3, Pujith Sai P5
1Pavan Narayana A, BTech, Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Janardhan Guptha S*,BTech, Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3Deepak S, B.Tech, Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), Vellore Institute of Technology, Vellore (Tamil Nadu), India.
4Pujith Sai P, (3rd year), Department of Electronics and Communication Engineering (Specialization in IoT & Sensors), 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: 87-92 | Volume-10, Issue-9, July 2021 | Retrieval Number: 100.1/ijitee.I93690710921| DOI: 10.35940/ijitee.I9369.0710921
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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: January 27 2020, a day that will be remembered by the Indian people for a few decades, where a deadly virus peeped into a life of a young lady and till now it has been so threatening as it took up the life of 3.26 lakh people just in India. With the start of the virus government has made mandatory to wear masks when we go out in to crowded or public areas such as markets, malls, private gatherings and etc. So, it will be difficult for a person in the entrance to check whether everyone one are entering with a mask, in this paper we have designed a smart door face mask detection to check whether who are wearing or not wearing mask. By using different technologies such as Open CV, MTCNN, CNN, IFTTT, Thing Speak we have designed this face mask detection. We use python to program the code. MTCNN using Viola- Jones algorithm detects the human faces present in the screen The Viola-Jones algorithm first detects the face on the grayscale image and then finds the location on the colored image. In this algorithm MTCNN first detects the face in grayscale image locates it and then finds this location on colored image. CNN for detecting masks in the human face is constructed using sample datasets and MobileNetV2 which acts as an object detector in our case the object is mask. Thing Speak is an open-source Internet of things application used to display the information we get form the smart door. This deployed application can also detect when people are moving. So, with this face mask detection, as a part to stop the spread of the virus, we ensure that with this smart door we can prevent the virus from spreading and can regain our happy life.
Keywords: CNN, IFTTT, MTCNN, Open CV, Thing Speak.