Research on the Application of Improved YOLOv3 Scene Understanding Algorithm for Blind Groups in Interactive Landscape Design
In order to enhance the social integration ability of blind individuals and enhance their connection with society,the study utilizes an improved YOLOv3 scene understanding algorithm and Kinect sensor to design a music interactive landscape experi-ence system.Firstly,the YOLOv3 algorithm is improved using clustering methods to enhance its recognition and classification capa-bilities;Then,the YOLOv3 algorithm is fused with Kinect sensors to construct music interaction designs;Finally,use comparative methods and practical applications to verify the performance of the music interaction design system.The results indicate that YOLOv3+Kinect outperforms the comparison method in terms of system parameter structure.Its loss value,data recall rate,mAP%,and aver-age data testing time are 21.58%,15.13%,32.7%,4.37%,43.86%,34.21%,0.98 seconds,and 0.15 seconds higher than the comparison method,respectively.This indicates that the system constructed in the study has high feasibility and practicality in the de-sign of music interaction landscapes,providing a brand new music interaction experience for blind groups.