Special Issue "Computer Vision and Sensing Technologies for Industrial Quality Inspection"
Deadline for manuscript submissions: 30 April 2024 | Viewed by 6309
Interests: computer vision; optical inspection; quality management; automated industrial inspection
Special Issues, Collections and Topics in MDPI journals
Special Issue in Algorithms: Advanced Artificial Neural Networks II
Interests: image processing; computer vision; signal filtering; artificial intelligence; grey system with applications
Today, although quality inspections play an essential role in a successful operation, finding effective ways to carry out them can be a challenge. Combined with advanced computer vision and sensing technologies, quality inspection can become an essential tool for various intelligent applications in smart manufacturing and production, such as object detection, classification, tracking, and counting. The trend is to reach human-level precision or more in quality inspection with automation. Computer vision-based applications minimize human intervention, optimize operational efficiency, and reduce labor costs. In addition, new sensing technologies have provided us with an excellent ability to measure, inspect, sort, and grade products effectively and efficiently.
This special issue calls for research papers through use cases of artificial intelligence techniques and showcases the need to optimize algorithms, inference frameworks, and hardware accelerators to obtain good performance in quality inspection. It mainly focuses on computer vision and sensing technologies for industrial quality inspection, including, but not limited to, imaging techniques, image processing methods, vision systems, and system optimization. Industrial inspection papers are also welcome, such as quality inspection with machine learning and data-driven methods. Both review articles and original research papers are sought in this special issue.
Prof. Dr. Hong-Dar Lin
Prof. Dr. Cheng-Hsiung Hsieh
Prof. Dr. Hsin-Chieh Wu
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. Sensors 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 2600 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.
- computer vision
- sensing technologies
- industrial quality inspection
- automatic optical inspection
- artificial intelligence techniques
- machine learning
- deep learning