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
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