Manufacturers faced with small production runs often require multiple machine changeovers per shift. Vision control of machinery offers a cost‐effective solution to this problem. Manufacturers are able to introduce diverse products, randomly, to a process line during the same production run, using reasonably priced industrial electronic equipment incorporating vision technology. A vision controlled polyurethane dispensing machine has been designed, manufactured and commissioned to substantiate this theory. An image of a moat, recessed into a mould, is captured by means of a CCD camera, resulting in a dispensing path being transferred to a microprocessor. The analogue signal is converted to a digital signal that pre‐sets a path for the two‐axis motion controller, capable of performing interpolation, to follow. A polyurethane mixing machine receives the same digital signal which sets the dispensing rate and shot size. Polyurethane is dispensed into the moat to form a seal between the filter media and the air‐filter housing. A summary of the design, implementation and results of the project is outlined and described.
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Technical Paper|
March 01 1999
Machine vision and intelligence incorporating motion control
Ronald Brian Jennings;
Ronald Brian Jennings
Ronald Brian Jennings is a Postgraduate Student and Glen Bright is a Senior Lecturer, at the Department of Mechanical Engineering, University of Natal, Durban, South Africa
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Glen Bright
Glen Bright
Glen Bright is a Senior Lecturer, at the Department of Mechanical Engineering, University of Natal, Durban, South Africa
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Publisher: Emerald Publishing
Online ISSN: 1758-4078
Print ISSN: 0144-5154
© MCB UP Limited
1999
Assembly Automation (1999) 19 (1): 55–58.
Citation
Brian Jennings R, Bright G (1999), "Machine vision and intelligence incorporating motion control". Assembly Automation, Vol. 19 No. 1 pp. 55–58, doi: https://doi.org/10.1108/01445159910254280
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