Title :
QueueTrak: Automated line length detection using a wireless sensor network
Author :
Alexander, Jared ; Bocknek, Matthew ; Whitehouse, Kamin
Author_Institution :
Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
Abstract :
We describe QueueTrak, an automated wireless sensor system designed to detect and report the length of lines in retail environments. QueueTrak has two components. First, it uses a series of custom active infrared sensors to detect the length of a line in a store or restaurant. Second, a web interface publishes the data, at the discretion of the shopkeeper, for use by customers, city planners, and other shopkeepers. We empirically evaluate the system design and find that it can accurately estimate line length despite noise caused by variations in natural sunlight or moving people and furniture in the store.
Keywords :
Internet; catering industry; computerised instrumentation; infrared detectors; radiotelemetry; retailing; wireless sensor networks; QueueTrak; Web interface; active infrared sensors; automated line length detection; automated wireless sensor system; system design; Logic gates; Sensors; Streaming media; System analysis and design; Detection; Information System; Ubiquitous Computing; Wireless Sensor Network;
Conference_Titel :
Networked Sensing Systems (INSS), 2010 Seventh International Conference on
Conference_Location :
Kassel
Print_ISBN :
978-1-4244-7911-5
Electronic_ISBN :
978-1-4244-7910-8
DOI :
10.1109/INSS.2010.5573375