State of the Art in Machine Vision Application Technology
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 285
Special Issue Editors
Interests: artificial intelligence; machine vision; smart agriculture
Interests: remote sensing; image processing; anomaly detection; machine learning; tensor decomposition; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine vision technology has emerged as a transformative force across numerous industries. As we stand at the intersection of computer vision, artificial intelligence, and industrial innovation, the field continues to evolve at a remarkable pace, offering new possibilities for solving complex real-world challenges.
This Special Issue, titled "State of the Art in Machine Vision Application Technology," aims to provide a comprehensive overview of the latest developments, methodologies, and applications in machine vision. Our goal is to bring together cutting-edge research and practical insights that showcase how machine vision is reshaping industries and enabling smarter, more efficient systems.
The purpose of this issue is twofold: first, to highlight innovative techniques and algorithms that push the boundaries of machine vision capabilities, and second, to explore their practical implementations across diverse domains—from autonomous systems and medical imaging to agricultural automation and smart manufacturing. By bridging the gap between theoretical advances and real-world applications, we seek to foster a deeper understanding of both current capabilities and future directions.
The scope of this Special Issue includes, but is not limited to, the following:
- Advanced image processing and analysis methods;
- AI-based approaches for machine vision;
- 3D vision and spectral vision;
- Vision-based multimodal sensing;
- Real-time machine vision systems and embedded solutions;
- Remote sensing techniques and applications;
- Industrial inspection and quality control applications;
- Vision-guided robotics and autonomous systems;
- Medical image analysis and diagnostic tools;
- Emerging vision techniques and applications in smart
We invite researchers, engineers, and industry practitioners to contribute their original research and review articles that address the current state and prospects of machine vision application technology. Through this collection, we hope to inspire further innovation and facilitate knowledge exchange within this dynamic and rapidly advancing field.
Dr. Rongqiang Zhao
Dr. Minghua Wang
Guest Editors
Manuscript Submission Information
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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
- computer vision
- imaging
- image processing
- AI
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