International Conference on Quality Control by Artificial Vision最新文献_第2页

Effect of lighting conditions on grape quality control by artificial vision 光照条件对葡萄品质人工视觉控制的影响

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2688756

P. Beauseroy, A. Baussard, M. Panon, Marie Loyaux

引用次数: 0

Estimation of subtle facial emotion changes from expressionless images 从无表情图像中估计细微的面部情绪变化

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690777

Arvin Valderrama, Takumi Taketomi, Chandra Louis, Tamami Sanbongi, Akihiro Kuno, Satoru Takahashi, Takeshi Nagata

引用次数: 0

Single-camera multi-point vision: on the use of robotics for digital image correlation 单摄像头多点视觉:利用机器人技术进行数字图像相关

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2691470

Matthieu Vitse, Xuyang Chang, S. Roux

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We can pass through the wall gap: aperture passage perception via vibration stimuli generated from distance variation 我们可以通过墙体间隙:孔径通道感知通过距离变化产生的振动刺激

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2692384

Shinichiro Morita, Yuki Kikuchi, Akira Saeki, I. Endo, Harumi Kobayashi, N. Mukawa, Akio Nakamura

{"title":"We can pass through the wall gap: aperture passage perception via vibration stimuli generated from distance variation","authors":"Shinichiro Morita, Yuki Kikuchi, Akira Saeki, I. Endo, Harumi Kobayashi, N. Mukawa, Akio Nakamura","doi":"10.1117/12.2692384","DOIUrl":"https://doi.org/10.1117/12.2692384","url":null,"abstract":"We have been developing a helmet-type spatial perception support system that provides the user with vibration stimuli in response to the distance variation to an obstacle. The purpose of this research is set to propose a method for generating vibration stimuli that appropriately represent two environmental elements, walls and apertures, and verify its effectiveness for the aperture passage perception. The five vibro-motors are positioned at directional angles of 0 degree in front, 30 and 60 degrees to left and right, and generate vibration stimuli of an intensity calculated by assigning appropriate damping weights. We set the distance-dependent damping weights separately for each directional angle in the calculation of the vibration intensity to be generated for each motor. Experimental results demonstrate that the subjects were able to pass through the aperture in approximately 91 % of trials. This suggests that the developed system and the proposed vibration stimuli generation method are effective in perceiving space from the vibration stimuli provided to the head.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"36 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":"125237554","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

Automated fish detection and classification on sonar images using detection transformer and YOLOv7 利用探测变压器和YOLOv7对声纳图像进行鱼类自动探测和分类

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2688330

Ella Mahoro, M. Akhloufi

引用次数: 0

Scene understanding pipeline for maintenance oriented tasks automation 面向维护任务自动化的场景理解管道

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2692213

Younes Zegaoui, S. Dufour, C. Bortolaso

{"title":"Scene understanding pipeline for maintenance oriented tasks automation","authors":"Younes Zegaoui, S. Dufour, C. Bortolaso","doi":"10.1117/12.2692213","DOIUrl":"https://doi.org/10.1117/12.2692213","url":null,"abstract":"Computerized Maintenance Management System (CMMS) are to assist in organising maintenance, both proactive and reactive, as well as technical operations. It usually works alongside constant surveillance and monitoring of said equipment through repetitive and time-consuming tasks. AI can ease maintenance activities by reducing the time spent on these repetitive task and allocate more time on decision. In this article we present our works on automating part of the intervention request handling in Berger-Levrault’s CMMs. We designed a pipeline of computer vision operations to predict the type of intervention needed from a picture of the situation at hand. The pipeline is basically a decision tree which combines different computer vision models and funnel images between them according to their respective outputs. Each of these models are trained separately on a specific task. To validate our approach, we performed a topic modeling analysis on the maintenance request forms to identify the ten most common topics of intervention. We show that our pipeline performs better than direct prediction by scene recognition model with a five points increases in global F1 score (40% / 45%) which is even more true for the classes with fewer training examples (23% / 37%).","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"18 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":"133535233","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

OCR for laser marking quality assessment 用于激光打标质量评估的OCR

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2691129

Jeanne Beyazian, J. Sadi

{"title":"OCR for laser marking quality assessment","authors":"Jeanne Beyazian, J. Sadi","doi":"10.1117/12.2691129","DOIUrl":"https://doi.org/10.1117/12.2691129","url":null,"abstract":"Since 2020 in the USA1 and 2021 in Europe, all medical devices have to be marked with a Unique Device Identification (UDI) code to ensure their traceability. UDI codes are laser marked but the engraving process is error-prone due laser-related or external conditions. Defects may be assessed visually but this process is costly and gives rise to human errors. Using machine vision to perform this task for large batches of UDI codes may be challenging due to alterations in readability caused by marking defects or image quality. Therefore, we have tested several learned methods to achieve two goals: correctly recognize characters and identifying marking defects on UDI codes. As the codes were engraved on cylindrical metallic surfaces with a metallic paint effect, we had to address the problem of specular and stray reflections through the development of a tailor-made lighting engine. Our image grabbing and processing pipeline comprises of an imaging device designed to prevent reflections onto engraved codes; an Optical Character Recognition (OCR) algorithm (multilayer perceptron, support vector machine, classical image segmentation), and a probabilistic model to detect faulty characters that need to be further qualified by a human operator. Our results show that multilayer perceptron (MLP) and support vector machine (SVM) recognition performances are very close together and above classical image segmentation.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"12749 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":"129304983","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

Construction of a grape quality index from RGB images of crates 从板条箱的RGB图像构建葡萄质量指数

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2688348

Soizic Lefevre, D. Nuzillard, A. Goupil

引用次数: 0

Frequency perturbation analysis for anomaly detection using Fourier heat map 傅立叶热图异常检测的频率摄动分析

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2690078

Yoshikazu Hayashi, Hiroaki Aizawa, Shunsuke Nakatsuka, K. Kato

{"title":"Frequency perturbation analysis for anomaly detection using Fourier heat map","authors":"Yoshikazu Hayashi, Hiroaki Aizawa, Shunsuke Nakatsuka, K. Kato","doi":"10.1117/12.2690078","DOIUrl":"https://doi.org/10.1117/12.2690078","url":null,"abstract":"Anomaly detection is an essential task within an industry domain, and sophisticated approaches have been proposed. PaDiM has a promising direction, utilizing ImageNet-pretrained convolutional neural networks without expensive training costs. However, the cues and biases utilized by PaDiM, i.e., shape-vs-texture bias in an anomaly detection process, are unclear. To reveal the bias, we proposed to apply frequency analysis to PaDiM. For frequency analysis, we use a Fourier Heat Map that investigates the sensitivity of the anomaly detection model to input noise in the frequency domain. As a result, we found that PaDiM utilizes texture information as a cue for anomaly detection, similar to the classification models. Based on this preliminary experiment, we propose a shape-aware Stylized PaDiM. Our model is a PaDiM that uses pre-trained weights learned on Stylized ImageNet instead of ImageNet. In the experiments, we confirmed that Stylized PaDiM improves the robustness of high-frequency perturbations. Stylized PaDiM also achieved higher performance than PaDiM for anomaly detection in clean images of MVTecAD.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"27 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":"124112727","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

Sparse image measurement using deep compressed sensing to accelerate image acquisition in 3D XRM 基于深度压缩感知的稀疏图像测量加速三维XRM图像采集

International Conference on Quality Control by Artificial Vision Pub Date : 2023-07-28 DOI: 10.1117/12.2691418

Ying Hao Tan, N. Vun, B. Lee

引用次数: 0