In-Process Vision Inspection Systems for Sorting using Image Processing Techniques
J. Latha & N. Devarajan
Journal of Computer Science, Volume 8, Issue 4, pp. 528–532 · doi.org/10.3844/jcssp.2012.528.532
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.
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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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