Face Mask Detection Using Convolutional Neura...

Face Mask Detection Using Convolutional Neural Network

Author Name : Sumanth Pendyala, Pushkar kumar, Siddhartha K S, Vaishnavi Koya, Aishwarya Kulkarni, Sushant Lenka

ABSTRACT

Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real-world, when a person is uncooperative with the systems such as in video surveillance then masking is further common scenarios. For these masks, current face recognition performancedegrades. There already exist some of such similar projects like face recognitionetc.But seeing some people without wearing mask on the roads and police catching each person separately was a herculean task for our corona warriors this turned out to be our motivation.. It is not easy to deal with many such people separately at a time, so this project can be employed in street cameras and detect whether a person is wearing mask or not, if not police can take action accordingly sitting at the control room.The same could be used at airports to detect travellers without masks at the entrance and airport authorities notified.

A feasible approach has been proposed that consists of first detecting the facial regions. The occluded face detection problem has been approached using Multi-Task Cascaded Convolutional Neural Network (MTCNN). Then facial features extraction is performed using the Google FaceNet embedding model. And finally, the classification task has been performed by Support Vector Machine (SVM). Experiments signify that this mentioned approach gives a remarkable performance on masked face recognition. Besides, its performance has been also evaluated within excessive facial masks and found attractive outcomes.

In this project, we propose a Convolutional Neural Network model to detect if a person is wearing face mask in compliance with the COVID-19 regulations. We aim to do a thorough research on the intricacies of the CNN model and about its implementation for the present COVID-19 scenario. From this model we are trying to make a healthy environment specially among colleges where we have huge volume of student pursuing their degrees and with our Mask Detection model our intension is to make it compulsory for all student who need attendance in class, so that each and every individual will wear mask before entry to class and protect the nation from COVID.