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Proceedings Paper

Intelligent robot-based dynamic weighing system
Author(s): Wamadeva Balachandran; Yehia M. Enab; M. Halimic; M. Tariq
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Paper Abstract

A robot based intelligent system is proposed and used to improve the accuracy and throughput rate of a dynamic checkweigher. Classical filtering techniques as well as some other signal processing techniques provide certain improvements in the accuracy and the effect of high frequency noise in a conventional checkweigher. A large amount of inaccuracy from system low frequency components still remains. The developed system includes a fuzzy controller for the weighing cell which is an essential pat of many static and dynamic systems used for weighing. The system also includes a robot arm for package handling through the weighing process to reduce the effect of the low frequency noise (0 - 10 HZ) associated with the conveyor belt systems in the conventional checkweighers. A motion planning for the robot arm is investigated to satisfy the safety requirements for the packages and robot arm and to enhance the throughput rate of the overall system. The use of such intelligent systems for weighing and transport overcome the nonlinearity problems associated with the system and reduces greatly the noise effect in conventional checkweighers. The experimental results are introduced an analyzed to investigate the efficiency of the developed system.

Paper Details

Date Published: 10 October 1994
PDF: 12 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188911
Show Author Affiliations
Wamadeva Balachandran, Univ. of Surrey (United Kingdom)
Yehia M. Enab, El-Mansoura Univ. (Egypt)
M. Halimic, Univ. of Surrey (United Kingdom)
M. Tariq, Univ. of Surrey (United Kingdom)


Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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