DIMENSIONAL INSPECTION USING MACHINE VISION

Authors

  • Alberto Morales-Varela National Polytechnic Institute (México) Author
  • Jorge-Said Cervantes-Rojas CINVESTAV Zacatenco (México) Author
  • Jorge Rojas-Ramírez Universities of Valenciennes and Hainaut- Camrésis (France) Author

Keywords:

Machine vision, quality inspection, LabVIEW, process improvement.

Abstract

Industry 4.0 and smart manufacturing are part of a transformation, in which manufacturing and information technologies have been 
integrated to create innovative manufacturing systems, management and ways of doing business, which allow optimizing 
manufacturing processes, achieving greater flexibility, efficiency and adding value for its customers, as well as responding in a 
timely manner to market needs. Artificial vision represents one of the most relevant transversal tools within Industry 4.0, being 
clearly integrated in each of the stages of a production process. This paper presents the development of a vision system to perform 
dimensional inspection of cutting discs in a manufacturing line, aiming to have a system with 100% accuracy in the detection of 
dimensional defects. The vision system is designed based on the structure of a conventional vision system; A set of algorithms 
have been developed that characterize the stages of: detection, visualization, capture, processing, analysis and decision-making. 
The algorithms are implemented through a platform developed in LabVIEW, designed through events, which allows memory 
optimization in the processing module, improves the efficiency of the algorithm by avoiding constant sampling, and avoids the 
overhead associated with data logging.

Published

2025-08-15

Issue

Section

Articles