Design of Face-Mask Detection System using Artificial Intelligence Techniques at Traffic Signals

Design of Face-Mask Detection System using Artificial Intelligence Techniques at Traffic Signals

Abstract— The COVID-19 pandemic has had a dramatic impact on our daily lives, disrupting global trade and transportation. Wearing a face mask for protection has become a new normal. In this project, we propose intelligent face-mask detection system, which will give a high accuracy. For this purpose we are using some basic machine learning packages like TensorFlow, Keras and Open CV. Our model is trained on a dataset that contains  images of people with and without face masks in two categories. Three levels of work that we carried out are: images pre-processing, extracting crucial part from images and image classification.

Furthermore, we have also applied a novel image processing algorithm which is used to identify the license plate number of vehicles. This is achieved by using several Open CV digital image processing technique developed with python to bring about image segmentation. Once the region is obtained; an optical character reorganization (OCR) is used via a trained template for several character styles to obtain the text format of the license plate.

Keywords: Face-Mask detection, TensorFlow, Keras, OpenCV, Number plate recognization, Digital image processing, Optical character recognization(OCR)