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Proceedings Paper

Water-quality inspection by analyzing motionality of fish
Author(s): Sae-Jin Park; Kyung-Soo Kim; Hyung-Il Choi; Hyung-Ki Lee; Young-Ho Lee
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Paper Abstract

To secure clean water, we need to monitor water quality and detect out harmful materials, if any contained in the water, as early as possible. In general, fish are believed to be more sensitive to water quality than humans are. When fish are moving slowly in a cluster, the water quality is believed to be good enough. However, fish keep afloat on the water or they behave wildly when poisonous materials are added into the water. This paper describes the system which visually inspects water quality by analyzing the motionality of fish. The motionality features are defined by characterizing changes of behavioral patterns of fish. These features are then used in making a fuzzy decision about water quality. The methodology described in this paper is expected to be reliable, and to enable quick and accurate detection or assessment of hazardous chemicals contained in the water.

Paper Details

Date Published: 3 October 1996
PDF: 8 pages
Proc. SPIE 2899, Automated Optical Inspection for Industry, (3 October 1996); doi: 10.1117/12.253003
Show Author Affiliations
Sae-Jin Park, Soongsil Univ. (South Korea)
Kyung-Soo Kim, Soongsil Univ. (South Korea)
Hyung-Il Choi, Soongsil Univ. (South Korea)
Hyung-Ki Lee, Hyundai Institute of Construction Technology (South Korea)
Young-Ho Lee, Hyundai Institute of Construction Technology (South Korea)


Published in SPIE Proceedings Vol. 2899:
Automated Optical Inspection for Industry
Frederick Y. Wu; Shenghua Ye, Editor(s)

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