• Meenakshi Tomar
• Surendra Kumar

In the absence of any systematic well defined diagnosis process, the well-known safety measure are the best choice in order to prevent from the effect of the COVID-19. From all of these safety measures, wearing a face mask in public places is one of the key prevention to decrease the chances of COVID-19 infection. So, in order to provide an public environment that discover those people who haven’t wear a face mask there are a strong demand to develop such an artificially intelligent system that is enough capable to detect such person from the public places or an entry gate. In literature, so many system have been developed for this purposes. Apart from features provided by these system, there are a lacking to detect such system in a variety of environment. By inspiring from the existing system, we are going to develop a system that performs the same task but in a wide range of environments. For this purposes, we will use the Convolutional Neural Network to develop our system. We will use benchmark dataset to train the system and will tune the hyper parameter accordingly. Finally, we will measure the performance of our system in order to verify the accuracy. Starting from the analysis of a known training dataset, the learning algorithm produces an inferred function to make predictions about the output values. The system will able to provide targets for any new input after sufficient training. The learning algorithm can also compare its output with the correct, intended output and find errors to modify the model accordingly. System will be developed using Supervised Learning paradigm and a Web Camera to detect people with or without masks. The main goal of the project is to implement this system at colleges, airports, hospitals, and offices where chances of spread of COVID-19 through contagion are relatively higher.

Machine learning, Convolutional neural network, Data augmentation, Classification, Accuracy, OpenCV

"AUTOMATING FACE MASK DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b483-b489, June-2021, Available :http://www.jetir.org/papers/JETIR2106207.pdf

"AUTOMATING FACE MASK DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb483-b489, June-2021, Available at : http://www.jetir.org/papers/JETIR2106207.pdf