scholarly journals Analysis of Laser Sensors and Camera Vision in the Shoe Position Inspection System

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7531
Author(s):  
Jaromír Klarák ◽  
Ivan Kuric ◽  
Ivan Zajačko ◽  
Vladimír Bulej ◽  
Vladimír Tlach ◽  
...  
Keyword(s):  
Polynomial Regression ◽  
Sensory System ◽  
Inspection System ◽  
Laser Sensors ◽  
Shoe Last ◽  
Laser Scanners ◽  
Inspection Systems ◽  
Further Development ◽  
Inspection Task

Inspection systems are currently an evolving field in the industry. The main goal is to provide a picture of the quality of intermediates and products in the production process. The most widespread sensory system is camera equipment. This article describes the implementation of camera devices for checking the location of the upper on the shoe last. The next part of the article deals with the analysis of the application of laser sensors in this task. The results point to the clear advantages of laser sensors in the inspection task of placing the uppers on the shoe’s last. The proposed method defined the resolution of laser scanners according to the type of scanned surface, where the resolution of point cloud ranged from 0.16 to 0.5 mm per point based on equations representing specific points approximated to polynomial regression in specific places, which are defined in this article. Next, two inspection systems were described, where one included further development in the field of automation and industry 4.0 and with a high perspective of development into the future. The main aim of this work is to conduct analyses of sensory systems for inspection systems and their possibilities for further work mainly based on the resolution and quality of obtained data. For instance, dependency on scanning complex surfaces and the achieved resolution of scanned surfaces.

Development of Robotic Inspection System for Small Pipelines

2000 ◽  
Author(s):  
Jinwu Qian ◽  
Yanan Zhang ◽  
Weiming Cheng ◽  
Linyong Shen ◽  
Jianliang Su ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Industry ◽  
Inspection System ◽  
Chemical Plants ◽  
Micro Robot ◽  
Potential Applications ◽  
Inspection Systems ◽  
Development Goals ◽  
Further Development

Automated probing and inspection inside small pipelines have become a hot topic among the micro-robot researchers in both universities and companies worldwide. The reason for that is the potential applications in nuclear power plants (PWR), civil engineering (gas and water) and in chemical plants and so on. This paper outlines the R & D activities on robotic inspection systems for 20mm-diameter pipelines conducted at Shanghai University in collaboration with NDT Center for Nuclear Industry. The locomotion mechanism comparison and synthesis are covered first. Several robotic inspection systems and different locomotion mechanisms are presented. Further development goals underway are briefly discussed.

scholarly journals POD and GUM Universal Methods for Making Safety Measurable

2016 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Sascha Feistkorn ◽  
Daniel Algernon ◽  
Michael Scherrer
Keyword(s):  
Ground Penetrating Radar ◽  
Probability Of Detection ◽  
Inspection System ◽  
Destructive Testing ◽  
Uncertainty In Measurement ◽  
Depth Position ◽  
Inspection Systems ◽  
Universal Procedure ◽  
Ground Penetrating ◽  
Inspection Task

<p>Various non-destructive testing (NDT) methods such as ultrasounds (UT) or eddy current (ET) have been established for in-service inspections (ISI) or for condition assessment in different kind of industries such as in the nuclear or aerospace business. Another example for a common NDT inspection task is the detection of tendon ducts in the field of civil engineering (CE) using Ground Penetrating Radar (GPR) as well as the determination of its lateral and depth position. Therefore, the detection limits of the used inspection system, which depends on the depth position and the number of tendon ducts and distances between them, has to be well known. One approach to determine the limits of detection is the application of the POD method (probability of detection) as a universal procedure, which excludes the human factor and calculates the a<sub>90/95</sub> value and other characteristic parameters. With this information, different inspection systems can be compared objectively to choose the most suitable NDT-system for each individual inspection task. To distinguish between a real variation in the tendon duct position and the accuracy of the inspection system, the knowledge about the uncertainty of measurement is required. To determine the accuracy of the selected NDT-system, the GUM procedure (guide to the expression of uncertainty in measurement) has been established and provides a statistical evaluated result in form of the measurement result and its expanded uncertainty. This article introduces a procedure using the example of tendon duct detection (POD) and depth position description (GUM) in concrete with Ground Penetrating Radar (GPR). Finally, the universal application of both methods (POD and GUM) in different fields of industries is illustrated by some examples.</p>

scholarly journals Analysis of the Possibilities of Tire-Defect Inspection Based on Unsupervised Learning and Deep Learning

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7073
Author(s):  
Ivan Kuric ◽  
Jaromír Klarák ◽  
Milan Sága ◽  
Miroslav Císar ◽  
Adrián Hajdučík ◽  
...  
Keyword(s):  
Deep Learning ◽  
Supervised Learning ◽  
Polynomial Regression ◽  
Real Life ◽  
Inspection System ◽  
Laser Sensor ◽  
Learning Approaches ◽  
Real Representation ◽  
Tire Industry ◽  
Inspection Systems

At present, inspection systems process visual data captured by cameras, with deep learning approaches applied to detect defects. Defect detection results usually have an accuracy higher than 94%. Real-life applications, however, are not very common. In this paper, we describe the development of a tire inspection system for the tire industry. We provide methods for processing tire sidewall data obtained from a camera and a laser sensor. The captured data comprise visual and geometric data characterizing the tire surface, providing a real representation of the captured tire sidewall. We use an unfolding process, that is, a polar transform, to further process the camera-obtained data. The principles and automation of the designed polar transform, based on polynomial regression (i.e., supervised learning), are presented. Based on the data from the laser sensor, the detection of abnormalities is performed using an unsupervised clustering method, followed by the classification of defects using the VGG-16 neural network. The inspection system aims to detect trained and untrained abnormalities, namely defects, as opposed to using only supervised learning methods.

Evaluation of Human Performanace in a Supervisory Inspection Task Monitoring Multiple Hybrid Inspection Systems

2005 ◽  
Vol 49 (3) ◽  
pp. 573-577
Author(s):  
Sandhya Kommidi ◽  
Pallavi Dharwada ◽  
Anand K. Gramopadhye ◽  
Byung R. Cho ◽  
Lawrence Grimes
Keyword(s):  
Computer Technology ◽  
Visual Inspection ◽  
Inspection System ◽  
Automated Systems ◽  
Human Decision ◽  
Inspection Systems ◽  
Computer Based ◽  
Inspection Task ◽  
Inspection Performance

The demand for consistent quality has led to 100% inspection using automated systems rather than the traditional sampling with human inspectors. However, these automated systems cannot adapt to novel situations to meet the required performance without human intervention. The need for costeffective and superior inspection performance has resulted in hybrid systems in which the functions are allocated depending on the capabilities of humans and machines. With the increasing availability of computer technology due to decreased costs and size, the role of humans in inspection systems is changing from that of a continuous “online” inspector to that of a supervisor of multiple tasks. This study uses a computer-based visual inspection simulator to investigate the role of the human as a supervisor in inspection systems, with the main focus on the effect of performance of one hybrid inspection system on human decision to intervene in another system to optimize the inspection performance.

Cognitive Health Counseling 40+

2013 ◽  
Vol 21 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Anne Eschen ◽  
Franzisca Zehnder ◽  
Mike Martin
Keyword(s):  
Outcome Variable ◽  
Pilot Phase ◽  
Subjective Memory ◽  
Cognitive Health ◽  
Health Counseling ◽  
Agents Of Change ◽  
Main Outcome Variable ◽  
Further Development

This article introduces Cognitive Health Counseling 40+ (CH.CO40+), an individualized intervention that is conceptually based on the orchestration model of quality-of-life management ( Martin & Kliegel, 2010 ) and aims at improving satisfaction with cognitive health in adults aged 40 years and older. We describe the theoretically deduced characteristics of CH.CO40+, its target group, its multifactorial nature, its individualization, the application of subjective and objective measures, the role of participants as agents of change, and the rationale for choosing participants’ satisfaction with their cognitive health as main outcome variable. A pilot phase with 15 middle-aged and six older adults suggests that CH.CO40+ attracts, and may be particularly suitable for, subjective memory complainers. Implications of the pilot data for the further development of the intervention are discussed.

scholarly journals Hospital chaplains as ethical consultants in making difficult medical decisions

2021 ◽  
pp. medethics-2020-107096
Author(s):  
Waldemar Głusiec
Keyword(s):  
Roman Catholic ◽  
Medical Decision ◽  
Medical Decisions ◽  
Hospital Chaplains ◽  
Specialist Knowledge ◽  
Hospital Ethics ◽  
Bioethical Education ◽  
Further Development

Background and aimsFew Polish hospitals have Hospital Ethics Committee (HECs) and the services are not always adequate. In this situation, the role of HECs, in providing, among others, ethical advice on the discontinuation of persistent therapies, may be taken over by other entities. The aim of our research was to investigate, how often and on what issues hospital chaplains are asked for ethical advice in reaching difficult medical decisions.MethodsA survey of 100 Roman Catholic chaplains was conducted, that is, at least 10% of all chaplains currently working in Polish hospitals.ResultsOf the participants, 29% confirmed receiving requests for advice in making a morally difficult medical decision. Receiving this type of request was not conditional on the place of their service, duration of their pastoral mission or HEC membership. The largest group of chaplains (21%) encounter questions concerning the ethical dilemmas associated with discontinuing persistent therapy. Patients and their families most often raise issues related to the methods of birth control, and the medical staff raise the issue of termination of pregnancy—as reported by 9% and 15% of chaplains, respectively. Most of the chaplains asked for help (79%) experience a deficit of specialist knowledge in the area of medicine or ethics.ConclusionsIn order to improve the quality of ethical consultations in Polish hospitals, in addition to further development of HECs, it is postulated to develop a system for bioethical education of chaplains.

scholarly journals Nondestructive Detection of the Gel State of Preserved Eggs Based on Dielectric Impedance

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 394
Author(s):  
Cheng-Han Li ◽  
Chun-Hung Hsieh ◽  
Cheng-Chu Hung ◽  
Ching-Wei Cheng
Keyword(s):  
Decay Rate ◽  
Mechanical Vibration ◽  
Scientific Basis ◽  
Nondestructive Method ◽  
Inspection System ◽  
Nyquist Diagram ◽  
Detection Technology ◽  
The Difference ◽  
The Individual

After completing the production of preserved eggs, traditionally, the degree of gelling is judged by allowing workers to tap the preserved eggs with their fingers and sense the resulting oscillations. The amount of oscillation is used for the quality classification. This traditional method produces varying results owing to the differences in the sensitivity of the individual workers, who are not objective. In this study, dielectric detection technology was used to classify the preserved eggs nondestructively. The impedance in the frequency range of 2–300 kHz was resolved into resistance and reactance, and was plotted on a Nyquist diagram. Next, the diagram curve was fitted in order to obtain the equivalent circuit, and the difference in the compositions of the equivalent circuits corresponding to gelled and non-gelled preserved eggs was analyzed. A preserved egg can be considered an RLC series circuit, and its decay rate is consistent with the decay rate given by mechanical vibration theory. The Nyquist diagrams for the resistance and reactance of preserved eggs clearly showed that the resistance and reactance of gelled and non-gelled eggs were quite different, and the classification of the eggs was performed using Bayesian network (BN). The results showed that a BN classifier with two variables, i.e., resistance and reactance, can be used to classify preserved eggs as gelled or non-gelled, with an accuracy of 81.0% and a kappa value of 0.62. Thus, a BN classifier based on resistance and reactance demonstrates the ability to classify the quality of preserved egg gel. This research provides a nondestructive method for the inspection of the quality of preserved egg gel, and provides a theoretical basis for the development of an automated preserved egg inspection system that can be used as the scientific basis for the determination of the quality of preserved eggs.

scholarly journals Product Inspection Methodology via Deep Learning: An Overview

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5039
Author(s):  
Tae-Hyun Kim ◽  
Hye-Rin Kim ◽  
Yeong-Jun Cho
Keyword(s):  
Deep Learning ◽  
Product Quality ◽  
Inspection System ◽  
Quality Inspection ◽  
Learning Models ◽  
Unified Framework ◽  
Learning Techniques ◽  
Inspection Systems ◽  
System Maintenance ◽  
Test Scenarios

In this study, we present a framework for product quality inspection based on deep learning techniques. First, we categorize several deep learning models that can be applied to product inspection systems. In addition, we explain the steps for building a deep-learning-based inspection system in detail. Second, we address connection schemes that efficiently link deep learning models to product inspection systems. Finally, we propose an effective method that can maintain and enhance a product inspection system according to improvement goals of the existing product inspection systems. The proposed system is observed to possess good system maintenance and stability owing to the proposed methods. All the proposed methods are integrated into a unified framework and we provide detailed explanations of each proposed method. In order to verify the effectiveness of the proposed system, we compare and analyze the performance of the methods in various test scenarios. We expect that our study will provide useful guidelines to readers who desire to implement deep-learning-based systems for product inspection.

A comparison between economic and organic store brands

2017 ◽  
Vol 45 (12) ◽  
pp. 1298-1316 ◽  
Author(s):  
Magali Jara ◽  
Gérard Cliquet ◽  
Isabelle Robert
Keyword(s):  
Brand Equity ◽  
Perceived Quality ◽  
Purchase Intentions ◽  
Path Model ◽  
Added Value ◽  
Store Brand ◽  
Store Brands ◽  
Content Type ◽  
Further Development

Purpose The purpose of this paper is to tackle the issue of store brand equity by considering two store brand’s positioning strategies: those with high perceived added value (the organic store brands), as opposed to economic brands. It takes place in the current environmental considerations showing the important role played by the packaging in determining the store brand equity. Design/methodology/approach A PLS Path model divided into four sub-models enables the authors to make specific predictions about customers’ purchase intentions. It also provides a concise operational calculation of the brand equity of each studied store brand. Findings Results show that economic brands build their equity with reinforced packaging, and organic brands maximise their brand equity by using simple packaging. In general, reinforced packaging improves the perceived quality of economic store brands but destroys that of organic brands. The calculations of overall equity scores for each studied store brand reveal that economic brands could benefit from further development whilst organic brands already maximise their equity. Practical implications Results will enable large retailers to develop effective campaigns focussing on perceived quality and more specifically by designing packaging that are suitable for the positioning of their brands – a simple packaging for organic brands and a reinforced packaging for economic brands to maximise customers’ value. Originality/value This is one of the first studies to deepen the store brand equity, comparing two contrasting types of brands, by studying specifically variations of the levels of customers’ perceived quality depending of two types of packaging.

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