基于机器视觉的自动化生产线质量检测技术研究与应用

Research and application of quality inspection technology for automated production lines based on machine vision

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DOI 10.12208/j.jeea.20250019
刊名
Journal of Electrical Engineering and Automation
年,卷(期) 2025, 4(1)
作者
作者单位

1 智德认证有限公司 河南郑州 2 西安昱昌环境科技有限公司 陕西西安

摘要
本文专注于基于机器视觉的自动化生产线质量检测技术的深入研究与实际应用探讨。开篇点明在工业生产迈向智能化的进程中,传统质量检测方式难以满足高精度、高效率需求的现状,引出机器视觉质量检测技术的重要性。正文从机器视觉质量检测技术的原理与系统构成、在自动化生产线中的检测流程与关键技术环节、相较于传统检测方式的优势以及实际应用案例分析与未来发展趋势这四个方面展开论述。研究表明,机器视觉技术凭借其高精度、高速度、非接触等特性,为自动化生产线质量检测带来革新,显著提升产品质量控制水平。持续优化技术、拓展应用领域,对推动工业自动化向更高质量发展具有重要意义。
Abstract
This paper focuses on the in - depth research and practical application discussion of the quality inspection technology for automated production lines based on machine vision. At the beginning, it points out the current situation that traditional quality inspection methods are difficult to meet the high - precision and high - efficiency requirements in the process of industrial production moving towards intelligence, thus leading to the importance of machine vision quality inspection technology. The main body of the paper discusses from four aspects: the principle and system composition of machine vision quality inspection technology, the inspection process and key technical links in automated production lines, the advantages compared with traditional inspection methods, and the analysis of practical application cases and future development trends. The research shows that machine vision technology, with its characteristics of high precision, high speed and non - contact, brings innovation to the quality inspection of automated production lines and significantly improves the product quality control level. Continuously optimizing the technology and expanding the application field are of great significance for promoting the development of industrial automation towards higher quality.
关键词
机器视觉;自动化生产线;质量检测;工业应用
KeyWord
Machine vision; Automated production line; Quality inspection; Industrial application
基金项目
页码 93-96
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马小龙, 胥青磊. 基于机器视觉的自动化生产线质量检测技术研究与应用 [J]. 电气工程与自动化. 2025; 4; (1). 93 - 96.

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