FACE MASK DETECTION

dc.contributor.author	Akhand Pratap Singh, 18SCSE1010041
dc.date.accessioned	2022-08-02T07:48:28Z
dc.date.available	2022-08-02T07:48:28Z
dc.date.issued	2022-05
dc.identifier.uri	http://10.10.11.6/handle/1/10002
dc.description.abstract	The COVID-19 pandemic is causing a worldwide emergency in healthcare. This virus mainly spreads through droplets which emerge from a person infected with coronavirus and poses a risk to others. The risk of transmission is highest in public places. One of the best ways to stay safe from getting infected is wearing a face mask in open territories as indicated by the World Health Organization (WHO). In this project, we propose a method which employs TensorFlow and OpenCV to detect face masks on people. A bounding box drawn over the face of the person describes weather the person is wearing a mask or not. If a person’s face is stored in the database, it detects the name of the person who isnot wearing face mask and an email will be sent to that person warning them that they are not wearing a mask so that they can take precautions.	en_US
dc.language.iso	en	en_US
dc.publisher	GALGOTIAS UNIVERSITY	en_US
dc.subject	(COVID‐19)	en_US
dc.subject	face mask	en_US
dc.subject	FACE MASK DETECTION”	en_US
dc.subject	B.Tech	en_US
dc.title	FACE MASK DETECTION	en_US
dc.type	Other	en_US