Applications of Vision Measurement System on Product Quality Control: 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 1366
Special Issue Editor
Interests: vision system; imaging methods; quality control; measurements; production automation; manufacturing systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Vision systems are employed in industry in an extensive range of control and measurement tasks, enabling the implementation of the comprehensive quality assessment of product parameters. They have become part of quality assurance systems and, at the same time, are a source of data regarding the products and processes employed in accounting and management systems for the entire production line. One of the most significant challenges faced by vision systems is the performance of measurement tasks. The vision measurement system that operates on the production line is exposed to various types of disturbances present. The presence of vibrations, gas vapors, changes in the ambient temperature, variations in the lighting conditions, and a wide variety of process changes affect the measurement's repeatability and uncertainty.
Simultaneously, there have been dynamic advances made regarding vision measurements and the available imaging methods, sensor arrays, lighting techniques, optics, and measurement algorithms.
This Special Issue encourages the contribution of articles that present the application of vision systems in measurement tasks performed in order to control product parameters. Preference is given to works depicting the application of various imaging methods, image calibration, and techniques employed to verify the quality of visual post-marc systems in industrial conditions. Presenting the possibilities of applying image analysis in a wide range of measurement tasks carried out as part of product quality control is vital from the perspective of improving product performance quality and minimizing production losses. The main purpose of this Special Issue is to present the scientific achievements of the authors submitting their work to this journal in order to provide innovations in a changing industrial environment.
Prof. Dr. Andrzej Sioma
Guest Editor
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Keywords
- vision system
- imaging methods
- image analysis, quality control
- measurements
- production automation
- manufacturing systems
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