Use of Industrial System Solutions for Image Processing

Tomas Puda, J. Škuta
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引用次数: 1

Abstract

This work addresses the use and compare of machine vision software for image recognition compared to commercially available systems in automation industry. The aim is to compare computational stability and time-cost efficiency of integration of available algorithms against commercially sold systems. Three types of environments are selected for comparison - code development environment, graphical development environment and industrial machine vision system solution. The evaluation is based on the use of all three systems for the same types of applications and a comparison of their results - processing time, stability, development time and total development cost. Comparison applications are presence/absence, counting, dimensional measurement, search and character recognition.
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使用工业系统解决方案进行图像处理
这项工作解决了使用和比较机器视觉软件的图像识别与商用系统在自动化行业。目的是比较计算稳定性和时间成本效率的集成可用的算法与商业销售的系统。选择了三种类型的环境进行比较——代码开发环境、图形开发环境和工业机器视觉系统解决方案。评价是根据所有三种系统对同一类型应用的使用情况,并比较它们的结果- -处理时间、稳定性、开发时间和开发总费用。比较应用包括存在/缺失、计数、尺寸测量、搜索和字符识别。
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