AI and Computer Vision in Real-World and Industrial Applications
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI Systems: Theory and Applications".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 1122
Editors
Interests: AI; machine learning; computer vision; computational chemistry
Special Issues, Collections and Topics in MDPI journals
Interests: quantum physics and chemistry; statistics; programming and AI
Special Issues, Collections and Topics in MDPI journals
Interests: density functional theory; electronic structure; quantum chemistry; chemical physics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in artificial intelligence (AI) and computer vision are transforming the way intelligent systems interact with the real world. Developments in machine learning, deep learning, and visual perception are enabling new capabilities in automation, data analysis, and decision support across a wide range of domains.
The integration of AI with computer vision technologies is opening new opportunities for real-world and industrial environments where intelligent systems must operate under practical constraints and interact with physical processes, sensors, and complex operational workflows. Applications such as automated visual inspection, predictive maintenance, robotics, smart manufacturing, and intelligent monitoring systems are increasingly benefiting from these advances.
In this Special Issue, we aim to explore recent developments in artificial intelligence and computer vision applied to real-world and industrial contexts. We welcome contributions that present novel algorithms, architectures, frameworks, and practical implementations that demonstrate how these technologies can address real-world challenges.
Topics of interest include, but are not limited to, the following:
- Artificial intelligence for computer vision;
- Deep learning and machine learning for visual analysis;
- Vision-based quality inspection and anomaly detection;
- Computer vision for industrial automation and robotics;
- AI-driven predictive maintenance and monitoring;
- Edge AI and real-time computer vision systems;
- Vision-based human–machine interaction;
- Smart manufacturing and intelligent production systems;
- Applications of AI and computer vision in healthcare, transportation, and smart infrastructure.
Both theoretical contributions and applied research, including case studies and real-world deployments, are welcome.
Dr. Victor García
Prof. Dr. David Zorrilla
Dr. Jesús Sánchez-Márquez
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access monthly 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 1800 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
- artificial intelligence
- computer vision
- smart manufacturing
- industrial automation
- applications
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