• DocumentCode
    3116815
  • Title

    Mechatronics applications to fish sorting Part 1: Fish size identification

  • Author

    Ibrahim, M. Yousef ; Wang, J.

  • Author_Institution
    Sch. of Appl. Sci. & Eng., Monash Univ., Churchill, VIC, Australia
  • fYear
    2009
  • fDate
    5-8 July 2009
  • Firstpage
    1978
  • Lastpage
    1983
  • Abstract
    This paper describes research conducted on the design of a new automatic fish sorting system at Monash University, Australia. A concurrent mechatronics approach was implement to achieve the project´s goals. Also, a technique based on digital imaging was developed for the task of identification of fish sizes. The system is being implemented in the local fish export industry, providing a low cost operation with improved productivity and reliability in the fish sorting process. A computer-based vision system is used for analysis of the fish. A new algorithm is developed to directly determine the length of fish with fast on-line real-time processing. The measurement technique is also applicable to various species. The design specifications of the vision system and the camera capture devices are also presented in this paper.
  • Keywords
    automatic optical inspection; computer vision; control engineering computing; fishing industry; mechatronics; production engineering computing; size measurement; computer-based vision system; design specifications; digital imaging; fish export industry; fish size identification; fish sorting; measurement technique; mechatronics; real-time processing; Cameras; Computer vision; Costs; Digital images; Machine vision; Marine animals; Measurement techniques; Mechatronics; Productivity; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4347-5
  • Electronic_ISBN
    978-1-4244-4349-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2009.5215660
  • Filename
    5215660