MICHAEL L CLARO | JOSHUA KIM C LAURE | BERNARD C OGDOC | DAISA O GUPIT
The researchers of this project attempt to review various studies already undertaken to make attendance report of the students to become faster and efficient for all the users that are involved in this process. This research study deals with attendance using face recognition in the area that is needed to be recognized. Class Attendance Using Digital Face Recognition is an essential zone in the field of substantiation maintenance of records of the students, along with monitoring of class attendance is a zone of administration that requires a lot of time and endeavors for management. It plays out the day by day exercises of attendance analysis, for which face recognition is an essential aspect. The purpose of this study was to explore the effect of a technology-supported learning environment utilizing attendance record compared to manually recording an attendance in the digital face recognition process. Digitalize Class attendance of the students in face recognition may turn a manual attendance record of the students into a powerful technology. For the researchers ensured to take primary considerations such as end-user viewing, scheming and planning for database design, graphical user interface outlining and gradual system inspection. All these points are necessary for bringing the system into more operational and serviceable. Thus, to complete the entire scheme, in-depth analysis, and the detailed conclusion is well obligatory.