Sharan, Roneel and Onwubolu, G.C. (2014) Automating the process of work - piece recognition and location for a pick - and - place robot in a SFMS. International Journal of Image, Graphics and Signal Processing, 6 (4). pp. 9-17. ISSN 2074-9074
Full text not available from this repository.Abstract
This paper reports the development of a vision system to automatically classify work-pieces with respect to their shape and color together with determining their location for manipulation by an in-house developed pick-and-place robot from its work-plane. The vision-based pick-and-place robot has been developed as part of a smart flexible manufacturing system for unloading work-pieces for drilling operations at a drilling workstation from an automatic guided vehicle designed to transport the work-pieces in the manufacturing work-cell. Work-pieces with three different shapes and five different colors are scattered on the work-plane of the robot and manipulated based on the shape and color specification by the user through a graphical user interface. The number of corners and the hue, saturation, and value of the colors are used for shape and color recognition respectively in this work. Due to the distinct nature of the feature vectors for the fifteen work-piece classes, all work-pieces were successfully classified using minimum distance classification during repeated experimentations with work-pieces scattered randomly on the work-plane.
| Item Type: | Journal Article |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics |
| Depositing User: | Ms Shalni Sanjana |
| Date Deposited: | 25 Mar 2014 00:44 |
| Last Modified: | 26 May 2016 03:17 |
| URI: | https://repository.usp.ac.fj/id/eprint/7252 |
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