Part identification in robotic assembly using vision system

Bunil Kumar Balabantaray; Bibhuti Bhusan Biswal

doi:10.1117/12.2051309

24 December 2013 Part identification in robotic assembly using vision system

Bunil Kumar Balabantaray, Bibhuti Bhusan Biswal

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906714 (2013) https://doi.org/10.1117/12.2051309
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

Machine vision system acts an important role in making robotic assembly system autonomous. Identification of the correct part is an important task which needs to be carefully done by a vision system to feed the robot with correct information for further processing. This process consists of many sub-processes wherein, the image capturing, digitizing and enhancing, etc. do account for reconstructive the part for subsequent operations. Interest point detection of the grabbed image, therefore, plays an important role in the entire image processing activity. Thus it needs to choose the correct tool for the process with respect to the given environment. In this paper analysis of three major corner detection algorithms is performed on the basis of their accuracy, speed and robustness to noise. The work is performed on the Matlab R2012a. An attempt has been made to find the best algorithm for the problem.

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Bunil Kumar Balabantaray and Bibhuti Bhusan Biswal "Part identification in robotic assembly using vision system", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906714 (24 December 2013); https://doi.org/10.1117/12.2051309

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