基于AI机器视觉的烘箱白纸颜色分类及标签位置实时监控系统

IF 0.7 Q3 ENGINEERING, MULTIDISCIPLINARY TEHNICKI GLASNIK-TECHNICAL JOURNAL Pub Date : 2023-05-13 DOI:10.31803/tg-20230220172540
Hee-Chul Kim, Youn-Saup Yoon, Yong-Mo Kim
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引用次数: 0

摘要

我们开发了一种用于批量检测烘箱白纸模型颜色的视觉系统,通过制造烘箱制造自动化过程的机器视觉系统。在视觉系统中,执行了白纸目标检测(弹簧),颜色聚类和直方图提取。此外,对于家用电器的自动化过程,我们打算开发一种自动模具组合检测算法,利用深度学习来检测标签的位置和方向(角度/坐标)。
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AI Machine Vision based Oven White Paper ColorClassification and Label Position Real-time Monitoring System to Check Direction
We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.
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来源期刊
TEHNICKI GLASNIK-TECHNICAL JOURNAL
TEHNICKI GLASNIK-TECHNICAL JOURNAL ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.50
自引率
8.30%
发文量
85
审稿时长
15 weeks
期刊最新文献
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