基于计算机视觉应用的制造业质量控制

Đorđe Mijailović, Đorđe Mijailović, Miladin Stefanović, Milan Erić
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引用次数: 0

摘要

基于信息通信系统、互联网网络、嵌入式系统、云数据存储、计算机视觉、机器学习等技术在制造业中的应用,在质量控制过程中带来了许多优势。本工作的目标是开发生产行业的质量控制系统,并应用计算机视觉和算法进行比较和分析。工作的次要目标是产品质量数据的存储和基于分析数据的生产机器控制。应用上述系统的结果体现在不合格产品的识别上,这将减少公司的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QUALITY CONTROL IN THE MANUFACTURING INDUSTRY BASED ON THE APPLICATION OF COMPUTER VISION
Application of technologies based on information communication systems, internet networks, embedded systems, data storage in the cloud, computer vision, machine learning within manufacturing industry leads to a number of advantages in the quality control process. The goal of the work is the development of the system for quality control within production industry with the application of computer vision and algorithms for comparison and analysis. The secondary goal of the work refers to the storage of data on product quality and the control of production machines based on the analyzed data. The result of the application of the mentioned system is reflected in the identification of non-compliant products, which will lead to a reduction of the company's losses.
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