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
Link To Document :
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