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International Conference on Quality Control by Artificial Vision最新文献

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Deep-learning based industrial quality control on low-cost smart cameras 基于深度学习的低成本智能相机工业质量控制
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690728
Stefano Toigo, A. Cenedese, Daniele Fornasier, Brendon Kasi
{"title":"Deep-learning based industrial quality control on low-cost smart cameras","authors":"Stefano Toigo, A. Cenedese, Daniele Fornasier, Brendon Kasi","doi":"10.1117/12.2690728","DOIUrl":"https://doi.org/10.1117/12.2690728","url":null,"abstract":"This paper aims to describe a combined machine vision and deep learning method for quality control in an industrial environment. The innovative approach used for the proposed solution leverages the use of low-cost hardware of reduced size, and yields extremely high evaluation accuracy and limited computational time. As a result, the developed system works entirely on a portable smart camera. It does not require additional sensors, such as photocells, nor is it based on external computation.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Concrete structure inspection based on deep learning approaches from visible and radar images 基于可见光和雷达图像的深度学习方法的混凝土结构检测
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690477
P. Foucher, Rémi Le, Amine Mansouri, X. Dérobert, C. Fauchard
{"title":"Concrete structure inspection based on deep learning approaches from visible and radar images","authors":"P. Foucher, Rémi Le, Amine Mansouri, X. Dérobert, C. Fauchard","doi":"10.1117/12.2690477","DOIUrl":"https://doi.org/10.1117/12.2690477","url":null,"abstract":"In this contribution, we explore a machine learning approach for the concrete structure inspection using both surface and sub-surface imaging. For this purpose, we first propose and evaluate a deep learning based approach for the segmentation of rebar instances from ground penetrating radar images. The performance of a mask-R-CNN-based model show that the average precision is higher than 85% for reinforcement bar segmentation. We also evaluate the generalization capabilities of the model. In a second step, different criteria (reinforcement bars location and their normalized magnitudes) are computed from the extracted mask. These criteria are analysed in relation to the images of the structure surface that had been classified either in a healthy or damaged category (i.e. with cracks).","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126680747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Free surface measurement of a fluid in contact with a rotating cylinder 与旋转圆柱体接触的流体的自由表面测量
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690499
N. Prouteau, L. Thomas, S. Jarny, L. David
{"title":"Free surface measurement of a fluid in contact with a rotating cylinder","authors":"N. Prouteau, L. Thomas, S. Jarny, L. David","doi":"10.1117/12.2690499","DOIUrl":"https://doi.org/10.1117/12.2690499","url":null,"abstract":"In this study, we present our work in which we seek to measure the relief of a liquid film driven by the rotation of a roller. This object of study presents both theoretical and practical interest. Indeed, this coating flow approaches the Landau-Levich-Deryaguin theory (Newtonian fluid film driven by a flat plate)1 . This free surface measurement also presents real scientific and technical constraints that conditions the measurement method to be used. While the fineness of the fluid film thickness at low rotation speed requires precise measurement, the dynamics of the free surface at high rotation speed requires fast measurement and the use of a minimal number of images for estimation. Several methods have been developed and applied on an opaque fluid using the principles of fringe projection profilometry. A shadowgraphy method was employed to validate the obtained results. Although used in a specific case, the method employed has potential for various applications where a free surface measurement is required.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124982458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Part-level single-view 3D shape reconstruction with multiple types of primitives 具有多种类型原语的零件级单视图3D形状重建
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2688290
Mami Kikuchi, Seiya Ito, Naoshi Kaneko, K. Sumi
{"title":"Part-level single-view 3D shape reconstruction with multiple types of primitives","authors":"Mami Kikuchi, Seiya Ito, Naoshi Kaneko, K. Sumi","doi":"10.1117/12.2688290","DOIUrl":"https://doi.org/10.1117/12.2688290","url":null,"abstract":"In recent years, various methods have been proposed for reconstructing the 3D shape of an object from a single view image. While methods that reconstruct the object as a single model show promising results, they often lack part-level details. On the other hand, part-level reconstruction methods provide recognition of parts but struggle to represent detailed shapes due to the use of a single primitive. To address this issue, this paper proposes a Compositionally Generalizable 3D Structure Prediction Network using Multiple Types of Primitives (CompNet-MTP). CompNet-MTP first estimates the parameters of each type of primitive for every part and then selects the appropriate primitive type to construct the 3D shape of the object. In the experiments, we used cylinders in addition to cuboids, which are commonly used as primitive shapes. Experimental results confirm the effectiveness of the proposed network in handling multiple types of primitives.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ACL: active curriculum learning to reducing label efforts ACL:积极的课程学习，减少标签的努力
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690972
Yusei Yamada, Shiryu Ueno, Takumi Oshita, Shunsuke Nakatsuka, K. Kato
{"title":"ACL: active curriculum learning to reducing label efforts","authors":"Yusei Yamada, Shiryu Ueno, Takumi Oshita, Shunsuke Nakatsuka, K. Kato","doi":"10.1117/12.2690972","DOIUrl":"https://doi.org/10.1117/12.2690972","url":null,"abstract":"Annotation is a labor-intensive task in deep learning, which requires large amounts of training data. In active learning, which reduces the annotation work, the performance of the model is improved without annotating all the data by performing annotation step by step. In this study, we propose a method to incorporate a curriculum learning framework into active learning, which improves the performance of the model by learning from samples that are easy to identify. The experimental results show that the proposed method achieves 20% reduction in the total annotations compared to random sampling on CIFAR-10.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection and characterization of defects on mechanical structures by using 3D vision 基于三维视觉的机械结构缺陷检测与表征
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.3000509
Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, J. Orteu, L. Brethes
{"title":"Detection and characterization of defects on mechanical structures by using 3D vision","authors":"Zakaria Belbacha, Hamdi Ben Abdallah, Igor Jovančević, J. Orteu, L. Brethes","doi":"10.1117/12.3000509","DOIUrl":"https://doi.org/10.1117/12.3000509","url":null,"abstract":"This paper deals with the detection and characterization of surface damages (a dent, a crack, etc.) on mechanical surfaces using 2D/3D vision (3D scanner and/or 2D RGB camera). The main innovative aspect lies in the exploitation of the Computer Aided Design model, when it is available, with two possible scenarios: ”manual control” via a hand-held 3D scanner carried by an operator, or ”automated control” via a 3D scanner carried by a cobot. This research work has been carried out within the joint research laboratory ”Inspection 4.0” between IMT Mines Albi/ICA and the DIOTA company, specialized in the development of numerical tools for Industry 4.0","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134436107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modal approach based on global stereo-correlation for defects measurement in wire-laser additive manufacturing 基于全局立体相关的线激光增材制造缺陷测量模态方法
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2688499
Khalil Hachem, Y. Quinsat, C. Tournier, Nicolas Béraud
{"title":"Modal approach based on global stereo-correlation for defects measurement in wire-laser additive manufacturing","authors":"Khalil Hachem, Y. Quinsat, C. Tournier, Nicolas Béraud","doi":"10.1117/12.2688499","DOIUrl":"https://doi.org/10.1117/12.2688499","url":null,"abstract":"Producing Near Net Shape parts with complex geometries using Wire-Laser Additive Manufacturing often requires a mastered and optimized process. Differences between the constructed and nominal geometries of the manufactured entities demand an in-situ defects measurement to complete the production of the entire part successfully. A contactless measuring system is needed to evaluate geometrical deviations without requiring complex post-processing operations. To overcome this challenge and validate a measuring tool that serves the manufacturing purpose, a global stereocorrelation approach is used to measure defects in wire-laser additively manufactured parts. This method relies on the cameras’ self-calibration phase that uses the part substrate’s nominal model. Then a modal basis is defined to model and evaluate the surface dimensional and shape defects. Hence, an analysis of the texture obtained in additive manufacturing is conducted to assess whether or not it is sufficient for image correlation and defects measurement. Finally, natural and pattern textures are compared to highlight their influence on the measurement results.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic scoring in fencing by using skeleton points extracted from images 利用从图像中提取的骨架点进行击剑自动评分
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.3000424
Takehiro Sawahata, Alessandro Moro, Sarthak Pathak, K. Umeda
{"title":"Automatic scoring in fencing by using skeleton points extracted from images","authors":"Takehiro Sawahata, Alessandro Moro, Sarthak Pathak, K. Umeda","doi":"10.1117/12.3000424","DOIUrl":"https://doi.org/10.1117/12.3000424","url":null,"abstract":"First time spectators of fencing competitions cannot understand the complicated rules, making it difficult for them to enjoy the game. Therefore, in this paper, we propose a system that detects the situation of a fencing match using skeleton points extracted from videos. Players cannot be equipped with sensors or other devices to prevent interference with the match. Consequently, this research proposes a system that detects \"phrases\" using skeleton point information extracted from videos and displays the game situation. We evaluate actual videos of fencing to confirm the performance.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121284058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Operational modal analysis of a cantilever beam by phase-based sub-pixel motion estimated from experimental videos 由实验视频估计的基于相位的亚像素运动悬臂梁的运行模态分析
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2692503
C. Marinel, O. Losson, B. Mathon, J. Le Besnerais, L. Macaire
{"title":"Operational modal analysis of a cantilever beam by phase-based sub-pixel motion estimated from experimental videos","authors":"C. Marinel, O. Losson, B. Mathon, J. Le Besnerais, L. Macaire","doi":"10.1117/12.2692503","DOIUrl":"https://doi.org/10.1117/12.2692503","url":null,"abstract":"Vibration study, also called modal analysis, plays an important role in the structural health monitoring of mechanical structures. During the last decade, video-based modal analysis methods have emerged to provide dense vibration estimation using each pixel as a contactless sensor. Dense subpixel motion is estimated and is then processed by a modal analysis algorithm to extract the modal basis composed of natural frequencies, damping ratios, and mode shapes. This paper introduces a new single-subband phase-based method for subpixel motion estimation. It is compared with state-of-the-art motion estimation method on synthetic and experimental videos of a cantilever beam.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D shape estimation of wires from 3D x-ray CT images of electrical cables 从电缆的三维x射线CT图像中估计电线的三维形状
International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2689548
Shiori Ueda, Kanon Sato, H. Saito, Yutaka Hoshina
{"title":"3D shape estimation of wires from 3D x-ray CT images of electrical cables","authors":"Shiori Ueda, Kanon Sato, H. Saito, Yutaka Hoshina","doi":"10.1117/12.2689548","DOIUrl":"https://doi.org/10.1117/12.2689548","url":null,"abstract":"Electrical cables consist of numerous wires. The 3D shape of individual wires in the cables significantly affects their characteristics. With the increasing diversity of wire structures, understanding the 3D shape of each wire in an electrical cable is crucial for analyzing characteristics such as bending stiffness. To accurately estimate the bending stiffness of actual electrical cables, a detailed 3D representation of each wire is required. Therefore, it is important to obtain the 3D shape of actual electrical cable wires using non-destructive inspection. In this study, we propose a new method to associate wires using particle tracking techniques. The proposed method performs wire tracking in two steps, linking detected wire positions between adjacent frames and connecting segmented wires across frames. The effectiveness of the proposed method was evaluated quantitatively and qualitatively. In the quantitative evaluation, the correctness of the tracking was evaluated using the data with artificial noise added to the real data detection results. The proposed method achieves highly accurate wire tracking when there is little undetected noise, and shows robustness to over-detection.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"241 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122125296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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