Based on YOLOv8 Classroom Testing System Development and Implementation

This paper develops a classroom detection system based on YOLOv8, aiming to provide educational administrators with objective analyses of classroom dynamics by means of target detection technology. The system integrates the efficient detection capability of YOLOv8 and the graphical user interface of PySide6 to automate the whole process from image processing to result presentation. Experimental results show that the system performs well in terms of detection accuracy and real-time performance, and has obvious advantages over existing technologies. Its modular design ensures good scalability and customisability, which facilitates future function optimisation and scenario expansion, and is expected to play an important role in the field of education management and real-time monitoring.