Autonomous water pollution source tracking system using fish robot

  • Authors:
  • Daejung Shin;Seung Y. Na;Jin Y. Kim;Seong-Joon Baek;MinGyu Song;Aaron Park

  • Affiliations:
  • Chonnam National University, Gwangju, South Korea;Dept. of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Dept. of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Dept. of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Dept. of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Dept. of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

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Abstract

We introduce water pollution source tracking system which a fish robot searches the source of water pollution or something else. To simulate and verify the possibility of water pollution source tracking system, we made small water pool (2.4*2.4m) which a fish robot pursues infrared. The model of water pollution consists of color map, LED emitting infrared and phototransistor sensing the same wavelength light. Different color has different reflectivity for same wavelength light source, therefore this simulation model imitates the diffusion of water pollution source, LED and phototransistor is replaced with water pollution sensor. A fish robot avoids obstacle and find the place which has the highest reflectivity in water pool.