• DocumentCode
    715574
  • Title

    Using smartglasses for utility-meter reading

  • Author

    Depari, A. ; De Dominicis, C.M. ; Flammini, A. ; Sisinni, E. ; Fasanotti, L. ; Gritti, P.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Brescia, Brescia, Italy
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Despite the increasing adoption of smart meters, especially for electrical power measurements, a very large number of utility inspectors manually execute readings of legacy analog meters (e.g., for gas or water utilities). Unfortunately, manual data collection generates a lot of paperworks and is clearly error prone. In this work, authors suggest the adoption of smartglasses to automatize this process. In particular, the embedded camera is used for barcode scanning (in order to identify the user) and for recognizing the meter dial values. The availability of an Internet connection finally allows for exploiting cloud-based repository solutions. In that way data can be easily accessed from both utility employees and customers using simple web services. A preliminary prototype based on the Vuzix M100 device has been realized. Some tests have been carried out, confirming the feasibility of the proposed approach.
  • Keywords
    Web services; bar codes; cloud computing; computerised instrumentation; power system measurement; smart meters; Internet connection; Vuzix M100 device; Web services; barcode scanning; cloud-based repository solutions; electrical power measurement; embedded camera; legacy analog meters; smart glass; smart meter; utility inspectors; utility meter reading; Androids; Cameras; Engines; Google; Libraries; Optical character recognition software; Sensors; Android; intelligent sensors; optical character recognition; smart metering; smartglasses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2015 IEEE
  • Conference_Location
    Zadar
  • Type

    conf

  • DOI
    10.1109/SAS.2015.7133649
  • Filename
    7133649