Car-finding system with couchdb-based sensor management platform

• Autorzy: Nocuń Ł. , Nieć M , Pikuła P. , Mamla A. , Turek W.
• Języki publikacji: EN

Abstrakty

EN

The growing performance of low-cost mobile devices makes it possible to perform advanced processing on mobile sensors. This creates the need to building a management system for groups of sensors actively analyzing signals fromhardware devices. In this paper, an architecture of a CouchDB-Based Sensor Management Platform is presented and its application for the problem of finding stolen cars is shown. Detailed performance tests of the platform as well as its application are provided.

Słowa kluczowe

EN

sensor networks; mobile devices; car plates recognition

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2013
• Tom: Vol. 14 (3)
• Strony: 403--422
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr., tab.

Twórcy

autor

Nocuń Ł.

• AGH University of Science and Technology, Krakow, Poland

autor

Nieć M

• AGH University of Science and Technology, Krakow, Poland

autor

Pikuła P.

• AGH University of Science and Technology, Krakow, Poland

autor

Mamla A.

• AGH University of Science and Technology, Krakow, Poland

autor

Turek W.

• AGH University of Science and Technology, Krakow, Poland

Bibliografia

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• [5] Leszczuk M., Janowski L., Romaniak P., Glowaczand A., Mirek R.: Quality Assessment for a Licence Plate Recognition Task Based on a Video Streamed in Limited Networking Conditions. Multimedia Communications, Services and Security. Communications in Computer and Information Science vol. 149, 2011, pp. 10–18.
• [6] Iwanowski M.: Automatic car number plate detection using morphological image processing. Przeglad Elektrotechniczny. 81(3):58–61, 2005.
• [7] Ozbay S., Ercelebi E.: Automatic vehicle identification by plate recognition. World Academy of Science, Engineering and Technology, 2005.
• [8] Anagnostopoulos C.-N.E., Anagnostopoulos I.E., Psoroulas I.D., Loumos V., Kayafas E.: License Plate Recognition From Still Images and Video Sequences: A Survey. Intelligent Transportation Systems, IEEE Transactions on. 9(3) : 377–391, 2008.
• [9] Niec M., Pikula P., Mamla A., Turek W.: Erlang-Based Sensor Network Management for Heterogeneous Devices. Computer Science. 13(3) : 139–151, 2012.
• [10] Niclausse N., Tsung Documentation. http://tsung.erlang-projects.org/,2013