机器视觉
制造工程
制造业
计算机科学
工程类
业务
计算机视觉
营销
作者
K. Palanikumar,Elango Natarajan,A. Ponshanmugakumar
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2024-01-01
卷期号:: 91-122
被引量:1
标识
DOI:10.1016/b978-0-443-18644-8.00018-6
摘要
Machine vision is the set of data and techniques used to conduct image-based automated inspections for quality checks, process monitoring, and industrial automation. Machine Vision (MV) is utilised for optical gauging, quality control, sorting, component assembly inspection, presence or absence recognition, and process industries management. These are some possibilities for completing a task. Verifying components with machine vision technology helps ensure quality and keep the process operating smoothly. Process control, specialised applications, the pharmaceutical industry, the food and beverage industry, the electronic packaging industry, and the automobile industry, to name a few, all use machine vision technologies. This article discusses how to acquire measurements, rearrange optical characters, regulate a process with image processing, and identify whether final product components are on or off the assembly line. The major goal of this research is to raise public knowledge of machine vision technologies. This will result in greater production quality, less scrap goods as a result of nonconformities caused by the use of machine vision to manage the manufacturing process, and the end of any value-added work done on scrap product during succeeding manufacturing stages. Each of these goals corresponded to a research goal. In other words, this technology will increase manufacturing quality while minimising product waste owing to non-conformance difficulties. Most strategies outlined in this article, and the method manufacturer showing how to evident the concept to confirm that it works properly.
科研通智能强力驱动
Strongly Powered by AbleSci AI