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Research Journals >
Indian Journal of Geo-Marine Sciences (IJMS) >
IJMS Vol.38 [2009] >
IJMS Vol.38(3) [September 2009] >
| Title: | Designing embedded fish sensor for underwater robot |
| Authors: | Handoko, Yeffry
Riyanto, Bambang
Nazaruddin, Yul.Y.
Leksono, Edi |
| Keywords: | fish detection
classification
Artificial Neural Network
ultrasound sensor
marine robot |
| Issue Date: | Sep-2009 |
| Publisher: | CSIR |
| Abstract: | Commercial fish finders have already been
known and widely used in so many real applications. However, sometimes these
kinds of instrument are not suitable for underwater robotic or submarine robot
applications. The size and the interfacing features are not designed to meet
the requirements of underwater robot application purposes. This system relies
on an Artificial Neural Network implemented on an embedded microcontroller. By
using a proximity ping sensor widely used in mobile robot with some dedicated
signal preconditioning and processing of extracted features with the proposed
algorithm, a fish detection and classification system has been realized. The
proposed system gives satisfactory achievement with respective maximum values
of 100% for detection and 94% for classification. Also the existence and the
type of fish can be known and the behavior of group can also be revealed by
statistically interpretations such as hovering passion and sparse swimming
mode. |
| Page(s): | 308-315 |
| ISSN: | 0975-1033 (Online); 0379-5136 (Print) |
| Source: | IJMS Vol.38(3) [September 2009]
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