• Bharti Khemani
• Aishwarya More
• Shweta Patil
• Shaikh Zoha

Covid-19 caused due to the corona virus, this virus was first discovered in Wuhan In December 2019 now it is a pandemic affecting almost every country in the world. This virus transmitted from one person to another person through droplets spawned when a Covid-19 patient sneezes, coughs, exhales. One of the solutions to prevent covid-19 is wearing the face mask, many governments trying their best to educate citizens to wear the mask in public places, even that made it mandatory, but a majority of people are violating this rule. In the current scenario of police frequently checking for a face mask in public places an imposing fine on the people who were not wearing the face mask. On the other hand, some government introduced technology to detect people about face mask and center details, petrol them, then they will catch them. In this paper, we propose a model which detects whether a person is wearing a face mask or not using a facial detection system using CNN model we have detected persons with and without the mask and we will identify the pixel level by comparing it with many other algorithms available, CNN works more accurately. We implemented a model with 3 convolution layers and applied a dropout of 0.5% and used Relu, softmax as activation functions at hidden and fully connected layers respectively, Cross entropy is used as a loss function. Adam is an optimizer and it is working with 95.6 accuracies. This AI-based detection system will create awareness in minds of the public and they will start wearing masks in public so that the spread of the Covid-19 pandemic can be controlled for the wellbeing of society. The main goal of the project is to implement this system at colleges, hospitals, and offices where chances of spread of COVID- 19 through contagion are relatively higher. Here we give a summary of datasets and how we cleaned up the data.

Convolution Neural Network(CNN), Face Mask, Sequential API, Covid-19, Deep Learning.

"CNN MODEL USING SEQUENTIAL API FOR FACE MASK DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.227-233, October-2021, Available :http://www.jetir.org/papers/JETIRFD06034.pdf

"CNN MODEL USING SEQUENTIAL API FOR FACE MASK DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp227-233, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06034.pdf