The detection system for intelligent training rooms is a kind of intelligent monitoring and management system based on computer vision and artificial intelligence technology,which can carry out real-time monitoring and identification of equipment,personnel and specific areas in the training rooms,and provide corresponding alarm and management functions based on YOLOv9 object detection algorithm and PyQt5 graphical user inter-face library.The system can further improve the generalization ability and adaptability of the model through the construction of custom datasets and a variety of data enhancement techniques.The experimental results show that the system works well in the complex and changeable laboratory environment and has a good application pros-pect.
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