Literature Review on Intelligent Attendance Systems

Abstract

Every organization that relies on people today must, as a first step, account for its employees. As a result, the various organizations must spend a sizable sum of money on developing and maintaining an appropriate management system. Government agencies and educational institutions frequently use paper-based systems to record attendance. For instance, it requires quite some time to reach out to each student by calling their name at the start of the class in order to keep track of their attendance. Additional issues include fake signatures, names mislaid from spread-sheets, manually entering data into the system, and the potential for fake or so-called proxy attendance. These methods have a few issues that have gotten worse over time. It is essential to replace these antiquated procedures with contemporary ones in order to track attendance. As a result, using modern technologies, a numerous frequency of research and work has been produced in this area. Researchers are particularly interested in the automatic identification of a particular individual based on identifying traits like a QR code, fingerprint, an ID and password, or a face. This study reviews recent progress on advanced automation attendance monitoring systems. Our critical evaluation has concentrated on readings from the body of literature with regard to technology, application domain, and key findings.