• DocumentCode
    1888160
  • Title

    A Simple Identification Method for Object Shapes and Materials Using an Ultrasonic Sensor Array

  • Author

    Ohtani, K. ; Baba, M.

  • Author_Institution
    Dept. of Inf. & Intellectual Syst. Eng., Hiroshima Inst. of Technol.
  • fYear
    2006
  • fDate
    24-27 April 2006
  • Firstpage
    2138
  • Lastpage
    2143
  • Abstract
    From the viewpoint of environmental protection, the recycling of wastes becomes ever more important. In such a field, there is the manner of recycling or reuse, we need to develop a simple technique on advertising to promote recycling and reuse based on the local autonomy. Especially, the field of sorting for reuse requires a simple sensor system that identifies the materials, shape and size of an object without contact with the target. Here, we propose a new identification system using an ultrasonic sensor array and neural networks. The method sorts by the shape and the material of an object based on ultrasonic pressure distribution and acoustic impedance. We have done some experiments with a prototype sensor system. The experimental results showed the practical applicability of the identification method in a shapes and materials sorting system
  • Keywords
    object detection; object recognition; recycling; ultrasonic arrays; ultrasonic imaging; waste recovery; acoustic impedance; advertising; environmental protection; materials identification; materials sorting; neural networks; noncontact identification; object shape identification; ultrasonic pressure distribution; ultrasonic sensor array; waste recycling; waste reuse; Acoustic materials; Acoustic sensors; Advertising; Neural networks; Protection; Recycling; Sensor arrays; Sensor systems; Shape; Sorting; Material identification; Neural network; Shape identification; Ultrasonic sensor array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
  • Conference_Location
    Sorrento
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-9359-7
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2006.328525
  • Filename
    4124736