Abstract
During the Covid pandemic, the world has faced inevitable changes. In Kazakhstan, people receive color statuses depending on the vaccination status, which can be checked through mobile phones. Depending on this colour, different restrictions are imposed. This status, along with the presence of a facemask, is checked in public places. However, security workers may overlook or ignore visitors without facemasks or dangerous status. To address these issues, the following paper presents a method for automating the checking procedure of the visitors at the entrance to any building. The automatic door opener is programmed using Python and OpenCV image processing library. This door opener can identify the green color from the display of the mobile phone placed in front of the camera as well as the presence of the facemask on the human face. The door is opener sends signals to the Arduino microcontroller, which actuates the motor to open the door if all the above-mentioned conditions are satisfied. The main feature of this project is that a build-in face recognizer was used to classify the human faces on masked and non-masked. Despite this, such a method shows good accuracy of 99% in identifying non-masked faces and 77% if a masked face test dataset is used. This project has the potential benefit of automating the checkup process, avoiding the crowds’ formation in front of the door, and facilitating the work of security guards.