The integration of smart sensing technologies is revolutionizing modern university campuses by enabling real-time motion tracking, adaptive services, and enhanced security. This paper presents a comparative analysis of two prominent motion detection technologies, including Inertial Measurement Unit (IMU) sensors and camera-based motion detection systems at the smart university campuses. IMU sensors, often embedded in wearables, offer lightweight, power-efficient tracking of personal movements and physiological states, while camera-based systems provide extensive spatial awareness and behavior interpretation through video analytics and artificial intelligence. The study explores their sensing principles, deployment strategies, data processing requirements, and application domains such as classroom engagement, campus navigation, facility automation, and security. Advantages, limitations, and privacy concerns are discussed in depth. By evaluating their roles individually and in combination, the paper outlines how a hybrid sensor approach can create more responsive, inclusive, and intelligent campus environments.
@artical{t1472025ijsea14071002,
Title = "Comparative Analysis of IMU and Camera-Based Motion Detection Systems in Smart University Campuses",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "14",
Issue ="7",
Pages ="7 - 12",
Year = "2025",
Authors ="Thu Thuy Hoàng"}