Machine vision for beer keg asset management

Lees, Michael, Campbell, Duncan A., & Keir, Andrew G. (2008) Machine vision for beer keg asset management. In Billingsley, John & Bradbeer, Robin (Eds.) Mechatronics and machine vision in practice. Springer Berlin / Heidelberg, Berlin, pp. 125-137.

[img] Published Version (PDF 285kB)
Access restricted – see additional information.
Administrators only | Request a copy from author

View at publisher


A typical large brewery could have a keg fleet size in the order of hundreds of thousands. For some breweries, the asset value of this fleet is second only to fixed plant. The annual rate of attrition within the fleet can range from 5% to 20%, a sizable figure in dollar terms with a stainless steel keg costing around USD100. There is a business case for a keg asset management system that can help to reduce the annual rate of attrition and supply chain cycle time. Established solutions such as bar codes and RFID tags are costly as they require a modification to every keg. The feasibility of a machine vision tracking system based on the optical character recognition (OCR) of the keg's existing serial number is explored. With prospective implementation in the keg filling line, a process is proposed which is based on neural network OCR. A recognition rate of 97% was achieved for kegs with non-occluded serial numbers with realistic scope for further improvement.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 17558
Item Type: Book Chapter
Additional Information: For more information about this book please refer to the publisher's website (see link) or contact the author.
Keywords: Beer Keg, Aseet Management, Machine Vision, Optical Character Recognition
DOI: 10.1007/978-3-540-74027-8
ISBN: 978-3-540-74026-1
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MANUFACTURING ENGINEERING (091000) > Packaging Storage and Transportation (091010)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MANUFACTURING ENGINEERING (091000) > Manufacturing Management (091005)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2008 Springer-Verlag
Deposited On: 06 Feb 2009 04:58
Last Modified: 24 Jun 2017 14:32

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page