基于机器视觉的轮胎热损伤智能检测研究  

Research on Intelligent Detection of Tire Thermal Damage based on Machine Vision

作　　者：徐文婷 俞品华 吴希玲 Xu Wenting;Yu Pinhua;Wu Xiling(CATARC Automotive Test Center(Ningbo)Co.,Ltd.,Ningbo 315336)

机构地区：[1]中汽研汽车检验中心(宁波)有限公司,宁波315336

出　　处：《中国汽车》2024年第7期24-28,共5页China Auto

摘　　要：文章提出了一种基于机器视觉技术的轮胎热损伤智能检测方法。利用红外摄像头采集轮胎表面照片,建立轮胎热损伤图片数据库,对数据进行标注、训练和检测,并对检测结果进行分析和优化。实验结果表明,所建模型在精度和效率上均有较高表现。文章分析了目前轮胎热损伤检测技术的问题和局限性,并提出了未来研究的展望,以进一步提高检测准确度和效率。这项研究为机器视觉技术在轮胎热损伤智能检测的应用提供了新思路和方法。This paper presents an intelligent tire thermal damage detection method based on machine vision technology.Infrared camera was used to collect tire surface photos,establish tire thermal damage picture database,label,train and detect the data,and analyze and optimize the detection results.The experimental results show that the model has high performance in precision and efficiency.This paper analyzes the problems and limitations of the current tire thermal damage detection technology,and puts forward the prospect of future research to further improve the accuracy and efficiency of the detection.This study provides a new idea and method for the application of machine vision technology in the intelligent detection of tire thermal damage.

关 键 词：轮胎 无损检测 机器视觉 汽车 

分 类 号：U472.9[机械工程—车辆工程] TP391.41[交通运输工程—载运工具运用工程]