Real-Time Face Mask Detection Using Python
Author(s):
Shantanu Mishra, Saurabh Singh, Shubham Singh, Suraj Rasal
Keywords:
Python, Face Mask, Convolutional Neural Network, Data Augmentation, Fine-tuning, MobileNetV2.
Abstract
The topic that we have selected is called Face Mask Detector using Python OpenCV, tensor flow and deep learning. This means that we have developed software that would detect masks on a person or people in a video or image, it would tell them whether that they are wearing a mask or not. This particular project is achieved in two phases, where phase 1 would be to train the face mask detector and phase 2 would be to apply or deploy the face mask detection Software. In phase 1 of the project, our main focus would be to create a training model using datasets, where datasets consist of a huge number of images of people with face masks and people without a face mask. In phase 2 we would load the trained model and then detect the face and then categorize the face as to whether there is any mask or no mask on that. We see that Our Model build in Python Programming Language can detect the mask on faces once tested using video output.
Article Details
Unique Paper ID: 152289

Publication Volume & Issue: Volume 8, Issue 2

Page(s): 812 - 816
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