• DocumentCode
    3017542
  • Title

    Green surveillance applications

  • Author

    Blanes, J. Silvestre

  • Author_Institution
    Inst. Tecnol. de Inf. (ITI), Univ. Politec. de Valencia (UPV), Valencia
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    253
  • Lastpage
    256
  • Abstract
    Currently, falling prices in technologies associated with surveillance applications has led to a huge increase in their use in all types of environments, although the most common applications are monitoring of traffic and people. In surveillance applications, the majority of the algorithms and applications are based on robustness in the detection and monitoring of people, vehicles, etc., in all kind of conditions, in which power consumption is not a parameter of the system. In this work, we present the use of this technology to develop energy aware light control systems for large installations and to reduce energy consumption. Depending on the architectures and algorithms used significant power reduction is achieved.
  • Keywords
    image segmentation; lighting control; object detection; video surveillance; energy aware light control systems; green surveillance; power consumption; traffic monitoring; Cameras; Control systems; Costs; Electrical equipment industry; Energy consumption; Firewire; Intelligent sensors; Lighting control; Video surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on
  • Conference_Location
    Hamburg
  • Print_ISBN
    978-1-4244-1505-2
  • Electronic_ISBN
    978-1-4244-1506-9
  • Type

    conf

  • DOI
    10.1109/ETFA.2008.4638403
  • Filename
    4638403