• Dr.S.Krishnaveni
• M.Sresta

Mask-wearing is a basic figure halting the COVID-19 transmission. A Real-time face mask detection becomes an essential application to prevent the spread of pandemic. This paper present a face mask detection system that can detect and monitor mask-wearing from camera feeds and alert when there is a violation. With the increasing number of cases all over the world, a system to replace humans to check masks on the faces is necessary. This system satisfies that need. The main aim of this research paper is to create a face mask detection system using TensorFlow , Keras and OpenCV that identifies whether all people coming under any Closed-Circuit Television(CCTV) surveillance is wearing a face mask or not a person is wearing mask by monitoring a live text message. The dataset is trained with CNN(using keras and TensorFlow) with an accuracy using SVM . The term Haar Cascade Classifier is used to identify whether is wearing a mask or not through a image or live video. Mainly presenting a text system , the person gets a text message for not a mask. This facial covering discovery framework can be utilized at the entry of colleges, air terminals, inns, public structures, Railway Stations, or any significant spots enormous groups .Experimental results show that the sequential model performs well on the test data on checking open cv. The framework will be python and ML-based which will be safe and quick for implementation.

Covid19,Mask Detection,Alert System,CCTV,OpenCV

"FACE MASK DETECTION TEXT ALERT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.99-104, June-2022, Available :http://www.jetir.org/papers/JETIRFN06015.pdf

"FACE MASK DETECTION TEXT ALERT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp99-104, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06015.pdf