Translator Disclaimer
7 March 2013 Enabling customer self service through image processing on mobile devices
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ingmar Kliche, Sascha Hellmann, and Jörn Kreutel "Enabling customer self service through image processing on mobile devices", Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670J (7 March 2013); https://doi.org/10.1117/12.2007443
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Mobile multi-flash photography
Proceedings of SPIE (March 06 2014)
A novel global color correction method for 3D content
Proceedings of SPIE (March 05 2014)
White constancy method for mobile displays
Proceedings of SPIE (March 06 2014)
Estimation of three dimensional motion in a 3 DTV image...
Proceedings of SPIE (October 31 1991)
Color correction optimization with hue regularization
Proceedings of SPIE (January 25 2011)

Back to Top