Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Challenging Methods and Applications for Smart Measurement Using Machine Vision
share announcement

Challenging Methods and Applications for Smart Measurement Using Machine Vision

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 2263

Special Issue Editor

Dr. Achyut Shankar

E-Mail Website
Guest Editor
Department of Cyber Security, University of Warwick, Coventry CV4 7AL, UK
Interests: IOT; AI; ML; network security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The widespread use of smart measures in several applications is the result of technological improvement. Machine vision (MV) is a technology and approach that enables automatic imaging-based inspection and analysis for a variety of industrial applications, including robot guidance and autonomous inspection. To enable measurements in each of these applications, sensors must be connected. Machine vision attempts to creatively combine already available technology and use them to address issues in the actual world. The term “measurement” is frequently used to refer to a variety of activities and is the foundation for industrial automation, security, and vehicle navigation. Planning the specifics of a project’s needs and execution comes first in the overall machine vision process, followed by solution development. The method begins during runtime with imaging, then moves on to automatically analyze the image and extract the necessary data. These kinds of technologies are becoming more prevalent in every aspect of daily life, including in the medical field, business, agriculture, smart cities, and smart health monitoring. We seek contributions that cover the most recent developments in measuring and instrumentation science and technology as well as machine vision advancements related to production, the use of smart materials, and measurement and estimation methods, among others.

Dr. Achyut Shankar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine vision
  • measurement
  • machine learning
  • deep learning- and blockchain-based security solutions

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 3470 KiB  
Article
A Novel Relocalization Method-Based Dynamic Steel Billet Flaw Detection and Marking System
by Hongxing Zhou, Juan Chen, Qinghan Hu, Xue Zhao and Zhiqing Li
Electronics 2023, 12(23), 4863; https://doi.org/10.3390/electronics12234863 - 02 Dec 2023
Viewed by 794
Abstract
In the current steel production process, occasional flaws within the billet are somewhat inevitable. Overlooking these flaws can compromise the quality of the resulting steel products. To address and mark these flaws for further handling, Magnetic Particle Testing (MT) in conjunction with machine [...] Read more.
In the current steel production process, occasional flaws within the billet are somewhat inevitable. Overlooking these flaws can compromise the quality of the resulting steel products. To address and mark these flaws for further handling, Magnetic Particle Testing (MT) in conjunction with machine vision is commonly utilized. This method identifies flaws on the billet’s surface and subsequently marks them via a device, eliminating the need for manual intervention. However, certain processes, such as magnetic particle cleaning, require substantial spacing between the vision system and the marking device. This extended distance can lead to shifts in the billet position, thereby potentially affecting the precision of flaw marking. In response to this challenge, we developed a detection-marking system consisting of 2D cameras, a manipulator, and an integrated 3D camera to accurately pinpoint the flaw’s location. Importantly, this system can be integrated into active production lines without causing disruptions. Experimental assessments on dynamic billets substantiated the system’s efficacy and feasibility. Full article
(This article belongs to the Special Issue Challenging Methods and Applications for Smart Measurement Using Machine Vision)
►▼ Show Figures

Figure 1

18 pages, 2694 KiB  
Article
Research on the Application of Heterogeneous Cellular Automata in the Safety Control and Detection System of Construction Project Implementation Phase
by Zeyou Chen, Zheyuan Zhang, Yong Xiang and Yao Wei
Electronics 2023, 12(19), 4046; https://doi.org/10.3390/electronics12194046 - 27 Sep 2023
Viewed by 869
Abstract
In construction engineering safety management, the problem of construction workers’ unsafe behavior (CWUB) has always been a focus for researchers as well as practice managers. Currently, most studies focus on the influencing factors and mechanisms of (CWUB), with less attention given to the [...] Read more.
In construction engineering safety management, the problem of construction workers’ unsafe behavior (CWUB) has always been a focus for researchers as well as practice managers. Currently, most studies focus on the influencing factors and mechanisms of (CWUB), with less attention given to the dissemination process and control effects of CWUB. Therefore, this paper aims to investigate a safety control detection system for the transmission process. The heterogeneous cellular automaton (CA) has advantages in constructing such a system as it can reflect the interactive processes of construction workers from micro to macro, local to global, and consider the heterogeneity of individuals and space, satisfying unequal interaction probabilities between individuals and spatial variations in characteristics. The SEIR model accurately categorizes construction workers and visually represents the changing quantities of different state groups at each stage. It effectively describes the process of CWUB transmission among construction workers. Based on the aforementioned foundation, a safety control and monitoring system was proposed for the implementation stages of the project. Finally, the control detection system is simulated to assess its effectiveness. Simulation results closely align with reality, showing a continuous decrease in susceptible individuals, a peak followed by a rapid decline in latent and infected individuals, and a steady increase in immune individuals. To control CWUB transmission, it is crucial to enhance immunity against unsafe behaviors, reduce the rate of immunity conversion, and shorten the disease cycle caused by such behaviors. This research has practical implications for construction projects. Full article
(This article belongs to the Special Issue Challenging Methods and Applications for Smart Measurement Using Machine Vision)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop