Paper
6 August 1993 Automated packing systems: review of industrial implementations
Paul F. Whelan, Bruce G. Batchelor
Author Affiliations +
Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993) https://doi.org/10.1117/12.150303
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
A rich theoretical background to the problems that occur in the automation of material handling can be found in operations research, production engineering, systems engineering and automation, more specifically machine vision, literature. This work has contributed towards the design of intelligent handling systems. This paper will review the application of these automated material handling and packing techniques to industrial problems. The discussion will also highlight the systems integration issues involved in these applications. An outline of one such industrial application, the automated placement of shape templates on to leather hides, is also discussed. The purpose of this system is to arrange shape templates on a leather hide in an efficient manner, so as to minimize the leather waste, before they are automatically cut from the hide. These pieces are used in the furniture and car manufacturing industries for the upholstery of high quality leather chairs and car seats. Currently this type of operation is semi-automated. The paper will outline the problems involved in the full automation of such a procedure.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul F. Whelan and Bruce G. Batchelor "Automated packing systems: review of industrial implementations", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); https://doi.org/10.1117/12.150303
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Cited by 11 scholarly publications.
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KEYWORDS
Manufacturing

Robotics

Computer aided design

Control systems

Systems engineering

Intelligence systems

Machine vision

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