INDECS 20(1), 27-36, 2022 DOI 10.7906/indecs.20.1.4 Full text available in pdf and xml formats.

Received: 30th January 2021. Accepted: 12th November 2021. Regular article

ABSTRACT

The safety of students represents a serious issue in smart cities. The present research aims to find a solution to how security cameras should be upgraded by expanded intelligence to greatly facilitate the administration in schools and to have a positive influence on safety issues. As security cameras have been developed for surveillance, the mentioned features should be further improved. The cameras installed in hallways and classrooms are possibly capable of face detection and recognition, as well as for headcount. It is recommended that these solutions be expanded by the possibility of registering attendance. If a camera can recognize a student, an attendance register may be composed, so it would be possible to determine who is attending classes regularly and who is not. The data received in this way could periodically be sent to teachers by the system. The composing of attendance registers is a privilege of access control systems; however, this is fairly inconvenient in educational institutions. Hypothetically, the surveillance camera system represents the most adequate choice for a passive, personal identification, as in this case, an active contribution is not necessary.

KEY WORDS
security camera, deep learning, attendance register of students

CLASSIFICATION

APA:	4000
JEL:	I29, O33