基于计算机视觉的噪声源识别系统设计  

Design of Noise Source Identification System Based on Computer Vision

作　　者：肖维 XIAO Wei(Guizhou Siso Electronics Co.,Ltd.,Guiyang 550081,China)

机构地区：[1]贵州思索电子有限公司,贵州贵阳550081

出　　处：《电声技术》2025年第2期4-6,19,共4页Audio Engineering

摘　　要：为应对传统噪声源识别系统在噪声源定位与实时跟踪方面的不足,提出一种基于计算机视觉的噪声源识别系统。该系统利用图像处理、目标检测及多目标跟踪技术,实现噪声源的自动定位、分类与持续监测。实验结果显示,在不同工况下系统均能保持较高的检测准确率与分类精度,目标检测准确率最高达94.6%,处理延迟小于80 ms,展现了良好的实用性和抗干扰能力。To address the shortcomings of traditional noise source identification systems in noise source localization and real-time tracking,a noise source identification system based on computer vision is proposed.The system utilizes image processing,object detection,and multi-object tracking technologies to achieve automatic localization,classification,and continuous monitoring of noise sources.Experimental results show that under various operating conditions,the system maintains high detection accuracy and classification precision.The highest object detection accuracy reaches 94.6%,with a processing delay of less than 80 ms,demonstrating good practicality and anti-interference capability.

关 键 词：计算机视觉 噪声源识别 目标检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]