An Adaptive Parts Counting Method based on Orthogonal Intensity Distribution Analysis for Industrial Vision Systems

Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye
{"title":"An Adaptive Parts Counting Method based on Orthogonal Intensity Distribution Analysis for Industrial Vision Systems","authors":"Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye","doi":"10.1109/icce-asia46551.2019.8942225","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a refined counting method of vibratory parts feeders for industrial vision system. Frames of feeding parts are continuously monitored by industrial camera at high speed, therefore efficient and accurate counting method is critical to adopt. Previous research converted two dimensional spatial signal of parts into a time series of one dimensional signal thus achieved efficient counting. In this paper, we further suppressed the counting error in previous research by also taking the variance of feeding speed of each parts into consideration meanwhile conserve its efficiency.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8942225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we proposed a refined counting method of vibratory parts feeders for industrial vision system. Frames of feeding parts are continuously monitored by industrial camera at high speed, therefore efficient and accurate counting method is critical to adopt. Previous research converted two dimensional spatial signal of parts into a time series of one dimensional signal thus achieved efficient counting. In this paper, we further suppressed the counting error in previous research by also taking the variance of feeding speed of each parts into consideration meanwhile conserve its efficiency.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于正交强度分布分析的工业视觉自适应零件计数方法
提出了一种适用于工业视觉系统的振动零件进给机的改进计数方法。进给零件的机架由工业摄像机高速连续监控,因此采用高效准确的计数方法至关重要。以往的研究将零件的二维空间信号转换为一维信号的时间序列,从而实现高效计数。本文在保持效率的同时,考虑了各零件进给速度的变化,进一步抑制了以往研究中的计数误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Illumination Invariant Thermal Face Recognition using Convolutional Neural Network Fusion Technology of 3D Point Cloud Map for Objects Classification Tour Miner: Mining System of Tour Plans from SNS: Extraction of Travel Records from Check-in Information Portable Blood Typing Device Using Image Analysis Ambient Mode: A Novel Service and Intelligent Control based on User Awareness using BLE and Wi-Fi
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1