Standards Improvement for Face-Mask Detection in an Elevator Prototype to Prevent Covid 19 Spreading

In the context of the COVID-19 prevention this article proposes an upgrade of a reliable method to detect in several conditions the wearing mask in some critical places.This paper contains the new innovative option which we added to the elevator prototype system the masked Face Recognition.This makes face recognition a very difficult task since certain parts of the face are hidden, we propose a reliable method based on discard masked region and deep learning-based features to address the problem of the masked face recognition process.This article presents the improvement works carried out in the operation of an elevator to improve the rate of prevention of covid, by proposing a study case of a microcomputerbased elevator system prototype, using DC motor, gear, controller circuit etc., that carries out an experimental implementation with the simulation software.In otherwise, a thermal detection system is implemented to react in case of detection of abnormal temperature and save this information in a database.