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Robot Vision Application for Bearings Identification and Sorting

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Abstract:

An automated object recognition application type, implemented on a robotic platform, is described. It is based on an image processing algorithm that enables: the detection of objects like bearings from a pallet conveyor, the identification of bearings type and the calculus of position and orientation, in order to be manipulated by a SCARA robot. The identification algorithm developed in Matlab software consists in HSV image segmentation and a matching technique based on comparison with previous given set of bearing prototypes. The methods used for camera and robot calibration are also described.

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Periodical:

Applied Mechanics and Materials (Volume 162)

Pages:

523-530

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.162.523

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Online since:

March 2012

Authors:

Cristian Pop, Sanda Grigorescu, Arjana Davidescu

Keywords:

Bearings, Camera Calibration, Image Processing, Machine Vision, Object Recognition, Robot Vision

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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