基于计算机视觉的噪声源识别方法研究  

Research on Noise Source Identification Method Based on Computer Vision

作　　者：翁梦倩 WENG Mengqian(Jiangxi Technical College of Manufacturing,Nanchang 330095,China)

机构地区：[1]江西制造职业技术学院,江西南昌330095

出　　处：《电声技术》2025年第1期50-52,共3页Audio Engineering

摘　　要：为解决工业化进程中的噪声污染问题,提出一种基于计算机视觉的噪声源识别方法。通过采集噪声源图像并进行预处理、特征提取和深度学习分类,实现高效、准确的噪声源识别。实验结果表明,该方法的识别准确率和平均精确度均优于传统方法,处理时间保持在实时处理范围内,为工业噪声控制提供了新思路。To address the issue of noise pollution in the industrialization process,a computer vision based method for identifying noise sources is proposed.By collecting noise source images and performing preprocessing,feature extraction,and deep learning classification,efficient and accurate noise source recognition has been achieved.The experimental results show that the recognition accuracy and average precision of this method are superior to traditional methods,and the processing time remains within the real-time processing range,providing a new idea for industrial noise control.

关 键 词：计算机视觉 噪声源识别 深度学习 

分 类 号：U464[机械工程—车辆工程]