scholarly journals Studying the Influence of Illumination Design in Quality Inspection on Vaccine Vials Production Line Using Computer Vision

10.29007/qz2g ◽  
2022 ◽  
Author(s):  
Sy Hieu Dau ◽  
Quang My Han Doan ◽  
Chiu Hy Ta ◽  
Nguyen An Khang Le ◽  
Nguyen Thanh Dat Khau
Keyword(s):  
Machine Vision ◽  
Processing Speed ◽  
Assembly Line ◽  
Vision System ◽  
Quality Inspection ◽  
Key Factors ◽  
Illumination System ◽  
Speed Accuracy ◽  
Industrial Context ◽  
Speed And Accuracy

In the industrial context, there are key factors that directly affect the system’s efficiency. Higher demands for both quantity and quality in today’s market call for constant research and development of technologies for automating production and quality control. Machine vision is a solution to increase speed and accuracy in defect detection. However, applications from machine vision are only effective if there is good data input. This is the reason why a machine vision system, needs high-quality input images from a well-designed illumination system. These illumination systems are designed to highlight faults in products. Therefore, the images obtained will provide optimized data for easier image processing thus directly increase the processing speed, accuracy, and overall system performance. To achieve this goal, this paper presents a few approaches to enhance and optimize images by implements illumination techniques into a miniature model of pharmaceutical bottle assembly line using machine vision as the inspector block. In this paper, we will evaluate the critical needs of using customize illumination system for quality inspection on an assembly line.

Machine vision system for an assembly line

2002 ◽  
Author(s):  
Ying Zhan ◽  
Tiegen Liu ◽  
Dong Du
Keyword(s):  
Machine Vision ◽  
Assembly Line ◽  
Vision System ◽  
Machine Vision System

scholarly journals Detection of Foreign Materials in Wheat Kernels Using Regional Colour Descriptors

2021 ◽  
Author(s):  
Neeraj Julka ◽  
◽  
Singh A. P ◽  
Keyword(s):  
Machine Vision ◽  
Learning Algorithm ◽  
Vision System ◽  
Recognition Rate ◽  
Quality Inspection ◽  
Wheat Kernel ◽  
New Type ◽  
Neural Classifier ◽  
Foreign Materials ◽  
Wheat Kernels

Present paper reports the development of an automated machine vision system for detection of foreign materials in wheat kernels using regional color descriptors. The said system was executed in the form of an integrated flowing pipeline after having proper choice of different possible alternatives at different stages of image processing. A new type of surface colour descriptor is also proposed in this work to define wheat kernel uniquely. The fifteen-element colour descriptor is executed after having thorough comparison of six different colour spaces, each having 72 separate quantifiable components. The fifteen elements of the proposed colour-descriptor, extracted from each segmented region of the sample image, are concatenated in the form of an input to the neural classifier. The neural classifier is trained with Levenberg-Marquardt (LM) learning algorithm to achieve extremely fast convergence. The recognition rate of the executed classifier is found to be more than 99.2% for detection of impurity in unconnected wheat kernels. The results of present investigations are quite promising. The proposed pipeline has potential future in the field of machine vision based quality inspection of wheat and other cereal grains.

Machine vision system for quality inspection of beans

2020 ◽  
Vol 111 (11-12) ◽  
pp. 3421-3435
Author(s):  
Peterson Adriano Belan ◽  
Robson Aparecido Gomes de Macedo ◽  
Wonder Alexandre Luz Alves ◽  
José Carlos Curvelo Santana ◽  
Sidnei Alves Araújo
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Quality Inspection ◽  
Machine Vision System

scholarly journals QUALITY INSPECTION OF BAKERY PRODUCTS USING A COLOR-BASED MACHINE VISION SYSTEM

2000 ◽  
Vol 23 (1) ◽  
pp. 39-50 ◽  
Author(s):  
MOHD ZAID ABDULLAH ◽  
SABINA ABDUL AZIZ ◽  
ABDUL MANAN MOHAMED
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Bakery Products ◽  
Quality Inspection ◽  
Machine Vision System

scholarly journals Increased Cerebrovascular Reactivity In Selected Brain Regions After Extracranial-Intracranial Bypass Improves The Speed of Visual Cancellation In Patients With Severe Steno-Occlusive Disease: A Preliminary Study

2021 ◽  
Author(s):  
Koji Shimonaga ◽  
Seiji Hama ◽  
Akira Furui ◽  
Akiko Yanagawa ◽  
Akihiko Kandori ◽  
...  
Keyword(s):  
Processing Speed ◽  
Brain Area ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Occlusive Disease ◽  
Cerebrovascular Reactivity ◽  
Accuracy Score ◽  
Preliminary Study ◽  
Speed Accuracy ◽  
Speed And Accuracy

Abstract The effect of the change in cerebrovascular reactivity (CVR) in each brain area on cognitive function after extracranial-intracranial bypass was examined as a preliminary study in 20 patients with severe steno-occlusive disease. CVR studies and the visual cancellation task (VC) were performed before and after surgery. The Speed and Accuracy scores of the VC, which increased with improvement after the operation, were evaluated. CVR increased postoperatively both ipsilaterally and contralaterally to the surgery. Before surgery VC completion time was delayed, but accuracy was relatively maintained. In stepwise and least absolute shrinkage and selection operator (LASSO) regression models, two regions (right inferior frontal gyrus and right uncus) for the Speed score and one region (right superior occipital gyrus) for the Accuracy score were common brain regions associated with CVR change after surgery. The Speed and Accuracy scores of brain regions of the right cerebral hemisphere, which may be anatomically distant from the blood vessel anastomosis, were related to CVR change. Moreover, in the ischemic stage, with reduced CVR but no cerebral infarction, processing speed might decrease to maintain accuracy, and revascularization might increase the processing speed. In revascularization, the relationship between CVR change and the speed-accuracy trade-off in each brain region should be considered.

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