Machine vision for beer keg asset management

Mechatronics and Machine Vision in Practice

Volumn , Issue , 2008, Pages 125-137

  Lees, Michael ^a   Campbell, Duncan ^b   Keir, Andrew ^a  

^a Foster's Australia   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67650301031     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-74027-8_11     Document Type: Chapter

References (11)

1. Bryson L (2005) Brewers, Do You Know Where Your Kegs Are? The New Brewer. Sept/Oct, http://www.beertown.org
2. Clark D, Simmons K (2005) A dynamic 2D laser mark, Industrial Laser Solutions, Aug, pp 19-21
3. Gonzalez RC, and Wintz P (1987) Digital Image Processing, 2nd edn. Addison- Wesley, Reading, Massachusetts
4. Hagan MT, Demuth HB, and Beale MH (1996), Neural Network Design, PWS Publishing, Boston, MA
5. Klette R, Zamperoni P (1996) Handbook of Image Processing Operators, John Wiley, Chichester, England
6. Pankoke I, Heyer N, Stobbe N, Scharlach A, and Fontaine J (2005) Using RFID technology to optimize traceability, Proceedings of the European Brewing Convention, Prague, pp 1-&
7. Perryman M (1996) Practical use of RF tags for tracking beer containers. Brewer's Guardian, Nov, pp 29, 33
8. Russ JC (1995) The Image Processing Handbook, 2nd edn. CRC Press, Boca Raton, Florida
9. Schneider M (2003) Radio Frequency Identification (RFID) Technology and its Application in the Commercial Construction Industry. M.Sc. Thesis, University of Kentucky
10. Till V (1996) Keg Tracking - A Method to Control the Keg Fleet. Proceedings of the Twenty Fourth Convention of the Institute of Brewing Asia Pacific Section, pp 170-173
11. Till V (1997) Keg tracking - A method to control a keg fleet; experiences and advantages. Proceedings of the European Brewing Convention, pp 737-746