Abstract

AbstractSmart campuses are built on the Internet of Things (IoT) technology and aim to achieve smart classroom administration and service. With the introduction of intelligent thermostats, medical wearable appliances connected marketing equipment, and soon, IoT will certainly facilitate our lives. Resource management systems (RMS) are a significant research direction in IoT. In the current state of RMS research, relatively few studies have been able to benefit from a highly useful interior location, especially in smart classrooms. This study has been the outcome of discovering a solution for the development of smart classrooms on campuses. In some of the research the studies connected to the smart classroom and significant factors were found for technology and education in classrooms. But a smart classroom solution can’t be such as tasks, projects, tutorial presentations, and student were monitoring or academic monitoring by the faculty, mentor, or consultant in real-time. Smart campuses can manage collected data more efficiently, bringing comfort to campus service and management, compared with the traditional campus platform. In this study, Raspberry Pi with LCD and the Internet Smartphone were incorporated into the smart classroom concept. This will bring automation, electrical device control, classroom environment monitoring, and also dynamic class scheduling display, and voice recordings. Using the open-source application open.cv facial recognition, automatic updating of student attendance is used.KeywordsRaspberry piFace recognitionSmart classroomAttendanceIoT

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