Research Article Open Access

In-Process Vision Inspection Systems for Sorting using Image Processing Techniques

J. Latha and N. Devarajan

Abstract

Problem statement: Machine vision system is based on digital image processing and is found to be the best sensor detection as its operation is similar to the human eye. The purpose of machine vision is the desire to provide real time machines with visual abilities. Approach: A real time system is developed and is interfaced with the mechanical structure to be used in automobile industry. Dynamic thersholding is used and image pre-processing techniques are considered and implemented namely ellipse and circle algorithm. Results: The developed machine vision system consists of a mechanical structure, DIO card for communication and pneumatic components. Conclusion: The proposed model is tested on real time for segregation and mix up of automobile nut samples.

Journal of Computer Science
Volume 8 No. 4, 2012, 528-532

DOI: https://doi.org/10.3844/jcssp.2012.528.532

Submitted On: 4 October 2011 Published On: 2 February 2012

How to Cite: Latha, J. & Devarajan, N. (2012). In-Process Vision Inspection Systems for Sorting using Image Processing Techniques. Journal of Computer Science, 8(4), 528-532. https://doi.org/10.3844/jcssp.2012.528.532

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Keywords

  • Automobile nut
  • real time system
  • image processing algorithms
  • pneumatic components
  • vision system
  • circle algorithm
  • visual abilities
  • mechanical structure
  • digital image