Face Mask Detector Using Convolutional Neural Network

Abstract

The corona virus COVID-19 pandemic is causing a worldwide health crisis therefore the effective protection method is wearing a mask publicly areas consistent with the planet Health Organization (WHO). Several world governments were during a situation whereas the transmission can't be cured without lockdown. Reports indicate that wearing facemasks while at work clearly reduces the danger of transmission. The Objective of mask Detector is to detect the presence and absence of mask in a person's face with help of webcam or mobile Camera by using Python modules. within the Covid-19 pandemic situation, this project help to alert people publicly who don't wear masks. This project built with the assistance of very simple and basic Convolutional Neural Network(CNN) model using TensorFlow with Keras library and OpenCV to detect whether the person is wearing a mask for safety or not. OpenCV to try to do real-time face detection from a live stream via the webcam. for creating this model, Prajna Bhandary's mask dataset is employed. It consists of about 1,376 images with 690 images containing people with mask and 686 images containing people without mask. This images are wont to build a CNN model using TensorFlow to detect if the person is wearing a mask or not by using the webcam of PC.