期刊
JOURNAL OF BIONIC ENGINEERING
卷 6, 期 3, 页码 264-269出版社
SPRINGER SINGAPORE PTE LTD
DOI: 10.1016/S1672-6529(08)60120-1
关键词
fish detection; classification; artificial neural network; ultrasound sensor
资金
- Indonesia Ministry of Research and Technology in years 2007 [RD-2009-2550]
Fish finders have already been widely available in the fishing market for a number of years. However, the sizes of these fish finders are too big and their prices are expensive to suit for the research of robotic fish or mini-submarine. The goal of this research is to propose a low-cost fish detector and classifier which suits for underwater robot or submarine as a proximity sensor. With some pre-condition in hardware and algorithms, the experimental results show that the proposed design has good performance, with a detection rate of 100 % and a classification rate of 94 %. Both the existing type of fish and the group behavior can be revealed by statistical interpretations such as hovering passion and sparse swimming mode.
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