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Proceedings Paper

Enabling customer self service through image processing on mobile devices
Author(s): Ingmar Kliche; Sascha Hellmann; Jörn Kreutel
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Paper Abstract

Our paper will outline the results of a research project that employs image processing for the automatic diagnosis of technical devices whose internal state is communicated through visual displays. In particular, we developed a method for detecting exceptional states of retail wireless routers, analysing the state and blinking behaviour of the LEDs that make up most routers’ user interface. The method was made configurable by means of abstracting away from a particular device’s display properties, thus being able to analyse a whole range of different devices whose displays are covered by our abstraction. The method of analysis and its configuration mechanism were implemented as a native mobile application for the Android Platform. It employs the local camera of mobile devices for capturing a router’s state, and uses overlaid visual hints for guiding the user toward that perspective from where an analysis is possible.

Paper Details

Date Published: 7 March 2013
PDF: 9 pages
Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670J (7 March 2013); doi: 10.1117/12.2007443
Show Author Affiliations
Ingmar Kliche, Telekom Innovation Labs. (Germany)
Sascha Hellmann, Brandenburg Univ. of Applied Sciences (Germany)
Jörn Kreutel, Beuth Univ. of Applied Sciences (Germany)


Published in SPIE Proceedings Vol. 8667:
Multimedia Content and Mobile Devices
Dietmar Wüller; Kevin J. Matherson; Reiner Creutzburg; David Akopian; Todor G. Georgiev; Andrew Lumsdaine; Cees G. M. Snoek; Lyndon S. Kennedy, Editor(s)

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