Solid waste monitoring system integration based on RFID, GPS and camera

Maher Arebey, M. A. Hannan, Hassan Basri, R. A. Begum, Huda Abdullah

Research output: Contribution to conferencePaper

25 Citations (Scopus)

Abstract

The integration of communication technologies such as radio frequency identification (RFID), global positioning system (GPS), general packet radio system (GPRS), geographic information system (GIS) with a camera are constructed for solid waste monitoring system. The aim is to improve the way of responding to customer's inquiry and emergency cases and estimate the solid waste amount without any involvement of the truck driver. The proposed system consists of RFID tag mounted on the bin, RFID reader as truck module, GPSR/GSM as webserver, GIS as map server, database server and control station server. The tracking devices mounted in the trucks collect location information in real-time via the GPS. This information is transferred continuously through GPRS to a central database. The users are able to view the current location of each truck in the collection stage via a web-based application, and thereby manage the fleet. The trucks positions and trash bin information are displayed on a digital map, which is made available by a map server. Thus, the solid waste of the bin and the truck are being monitored using the developed system.
Original languageEnglish
DOIs
Publication statusPublished - 01 Dec 2010
Externally publishedYes
Event2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 -
Duration: 01 Dec 2010 → …

Conference

Conference2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010
Period01/12/10 → …

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

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  • Cite this

    Arebey, M., Hannan, M. A., Basri, H., Begum, R. A., & Abdullah, H. (2010). Solid waste monitoring system integration based on RFID, GPS and camera. Paper presented at 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010, . https://doi.org/10.1109/ICIAS.2010.5716183