The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision

A machine vision-based weld seam positioning system for thermos cups is proposed. The system’s operational flow and image algorithms are designed to achieve automatic calibration of the weld seam orientation. Experimental results show a qualification rate of 97.8%, demonstrating robust performance a...

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Main Authors: Yanqing Qiu, Zhinan Zhao, Tingting Lang, Wei Liu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/13/2/149
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author Yanqing Qiu
Zhinan Zhao
Tingting Lang
Wei Liu
author_facet Yanqing Qiu
Zhinan Zhao
Tingting Lang
Wei Liu
author_sort Yanqing Qiu
collection DOAJ
description A machine vision-based weld seam positioning system for thermos cups is proposed. The system’s operational flow and image algorithms are designed to achieve automatic calibration of the weld seam orientation. Experimental results show a qualification rate of 97.8%, demonstrating robust performance across various cup models. The average positioning error is 45 pixels, with a maximum error of 153 pixels, corresponding to angular deviations of 0.68° and 2.30°, respectively. The average processing time of a single algorithm run is 128 ms, ensuring efficient operation in non-high-speed production scenarios. The results of this study have good application value and also provide some insights for the position calibration of other rotational objects.
format Article
id doaj-art-a0b99acf0acf4b62aa8a072a020cffdb
institution OA Journals
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publishDate 2025-02-01
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record_format Article
series Machines
spelling doaj-art-a0b99acf0acf4b62aa8a072a020cffdb2025-08-20T02:03:40ZengMDPI AGMachines2075-17022025-02-0113214910.3390/machines13020149The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine VisionYanqing Qiu0Zhinan Zhao1Tingting Lang2Wei Liu3College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310000, ChinaCollege of Optical and Electronic Technology, China Jiliang University, Hangzhou 310000, ChinaSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310000, ChinaHangzhou Firstack Technology Co., Ltd., Hangzhou 310000, ChinaA machine vision-based weld seam positioning system for thermos cups is proposed. The system’s operational flow and image algorithms are designed to achieve automatic calibration of the weld seam orientation. Experimental results show a qualification rate of 97.8%, demonstrating robust performance across various cup models. The average positioning error is 45 pixels, with a maximum error of 153 pixels, corresponding to angular deviations of 0.68° and 2.30°, respectively. The average processing time of a single algorithm run is 128 ms, ensuring efficient operation in non-high-speed production scenarios. The results of this study have good application value and also provide some insights for the position calibration of other rotational objects.https://www.mdpi.com/2075-1702/13/2/149machine visionalgorithm positioningprecise calibrationautomate
spellingShingle Yanqing Qiu
Zhinan Zhao
Tingting Lang
Wei Liu
The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
Machines
machine vision
algorithm positioning
precise calibration
automate
title The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
title_full The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
title_fullStr The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
title_full_unstemmed The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
title_short The Design and Research of a Cup Body Weld Seam Polishing Positioning System Based on Machine Vision
title_sort design and research of a cup body weld seam polishing positioning system based on machine vision
topic machine vision
algorithm positioning
precise calibration
automate
url https://www.mdpi.com/2075-1702/13/2/149
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