Development of a face detection system with or without a mask using software

Authors

León León, Ryan Abraham

Arroyo Anticona, Danner Enrique

Carranza Albites, Rebecca

Lozano Castañeda, Roger

Terrones Pinedo, Claudia

Abstract

This article presents a software with artificial vision using the Python language in Visual Studio Code which is able to detect whether a person is wearing a mask or not, this project was made in order to identify people who are without masks or improperly placed either at work or at the entrance of a local, thanks to this you can identify certain people and give them feedback on the correct use of the mask. For the development of this software, we used the main modules such as opencv-contrib-python, numpy and mediapipe, in addition to their dependencies which are installed automatically, plus a camera to capture images; the first step was to find a data set and resize it, followed by training it through opencv and finally using mediapipe for face detection and implementing the model in programming. Finally, after the tests performed, a result of 83.13% of validation was obtained, however, its percentage would increase or decrease depending on the quality of the camera, since the errors would decrease if a camera with a good quality is implemented.