摘要
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 per- formance,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.
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 per- formance,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.
基金
This research was fund by Fundamental Research Fund Program from Indonesia Ministry of Research and Technology in years 2007. ID Number: RD-2009-2550.
