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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v10i3.14091</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Sub-Pixel-Level Visual Inspection System for Dimensional Measurement of Ceramic Insulators Based on Halcon: Design and Implementation</title><url>https://artdesignp.com/journal/JERA/10/3/10.26689/jera.v10i3.14091</url><author>CaoYuehua,HanJiajie,ZhuHanyang,YuanGe</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>3</issue><history><date date-type="pub"><published-time>2026-04-22</published-time></date></history><abstract>Aiming at the problems of low efficiency, poor accuracy consistency, and reliance on empirical judgment in the manual dimension inspection of ceramic insulators during the production process, a sub-pixel-level visual inspection system based on the Halcon platform was designed. Taking the 95-porcelain insulators with a 60 × 60 specification as the research object, a three-layer inspection architecture of “hardware acquisition–software processing–data output” was constructed. Through key technologies such as camera calibration, distortion correction, sub-pixel contour extraction, and template matching, the automatic measurement of three core dimensions of the insulator, namely height, width, and shed distance, was achieved. The experimental results show that the detection error of this system is controlled within the range of 0.5–1.2mm, the detection success rate reaches 99.2%, the detection time per sample is &amp;nbsp;2s, and the efficiency is 40% higher than that of traditional manual inspection. It can accurately meet the dimension inspection requirements of “GB/T 772-2005 Technical Conditions for Porcelain Insulators for High-voltage Overhead Lines”. This system requires no human intervention, and the detection results are stable and reliable. It provides an efficient solution for the on-line quality control in the production process of ceramic insulators and has important engineering application value.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xiong Y, Shen Y, et al., 2020, Influence of Bolt Size Deviation of Line Porcelain Insulators on Load Value. Hubei Electric Power, 8(4): 53–58.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Chen Z, Zhuang J, Lin J, et al., 2020, Development of Live Detection System for Porcelain Post Insulators. High Voltage Apparatus, 56(7): 212–217.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang J, Li J, et al., 2021, Interface Design and Electrical Performance of Composite Gradient Insulation for DC Basin Insulators. Transactions of China Electrotechnical Society, 36(15): 3210–3218.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Zhong Z, Zhang X, et al., 2022, Study on Deterioration Mechanism of Composite Insulator Core Rod Under High Humidity Environment. Proceedings of the CSEE, 42(8): 2987–2996.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Sun R, Wang L, et al., 2020, Influence of Deterioration and Contamination of Porcelain Insulator Strings on Infrared Imaging and Heating Characteristics. High Voltage Engineering, 46(3): 875–883.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Huang Y, Yu X, Ma X, et al., 2020, Study on Bending Resistance of Line Porcelain Insulators. Mechatronics, 2020(1–2): 52–57.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Meng D, 2018, Design and Analysis of Automatic Cutting Production Line for Ceramic Insulators Based on Robot, thesis, Jiangxi University of Science and Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Jiao E, Du R, 2010, Realization of Industrial Robot Sorting Technology. Control and Measurement, 2010(2): 84–87.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Zhang Y, 2020, Design and Practice of Industrial Robot Sorting System. Electric Engineering, 2020(10): 34–39.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Bai H, 2022, Surface Defect Detection Method of Porcelain Insulators Based on Machine Vision. Automation of Manufacturing Process, 44(5): 123–126.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Wan G, et al., 2021, Improved YOLOv5s for Surface Defect Detection of Ceramic Tiles. Journal of Computational Design and Engineering, 8(3): 1024–1035.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Li H, 2023, Research and Simulation of Material Handling Workstation Based on Industrial Robot. Electronic Components and Information Technology, 7(2): 189–192.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Long Y, Wei W, Shu Y, et al., 2023, Detection Method for Damaged Rotating Insulator Based on Adaptive Key Points. Computer Engineering, 49(9): 272–278.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Liu Y, Jaw D, Huang S, et al., 2018, Context-Aware Deep Network for Snow Removal. IEEE Transactions on Image Processing, 27(6): 3064–3073.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Liu S, Zhou S, 2024, Research on Insulator Detection Algorithm of High-speed Rail Contact Line. Computer Engineering, 50(5): 200–208.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
