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Mobile sailing robot for automatic estimation of fish density and monitoring water quality.

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Title: Mobile sailing robot for automatic estimation of fish density and monitoring water quality.
Authors: Koprowski, Robert1 robert.koprowski@us.edu.pl, Wróbel, Zygmunt1, Kleszcz, Agnieszka2, Wilczyński, Sławomir3, Woźnica, Andrzej4, Łozowski, Bartosz4, Pilarczyk, Maciej5, Karczewski, Jerzy4, Migula, Paweł4
Source: BioMedical Engineering OnLine. 2013, Vol. 12 Issue 1, p1-18. 18p. 3 Color Photographs, 1 Black and White Photograph, 3 Diagrams, 2 Charts, 4 Graphs.
Subjects: Robotics in oceanography, Fishery monitoring, Drinking water, Water quality, Global Positioning System, Image analysis, Data analysis
Abstract: Introduction: The paper presents the methodology and the algorithm developed to analyze sonar images focused on fish detection in small water bodies and measurement of their parameters: volume, depth and the GPS location. The final results are stored in a table and can be exported to any numerical environment for further analysis. Material and method: The measurement method for estimating the number of fish using the automatic robot is based on a sequential calculation of the number of occurrences of fish on the set trajectory. The data analysis from the sonar concerned automatic recognition of fish using the methods of image analysis and processing. Results: Image analysis algorithm, a mobile robot together with its control in the 2.4 GHz band and full cryptographic communication with the data archiving station was developed as part of this study. For the three model fish ponds where verification of fish catches was carried out (548, 171 and 226 individuals), the measurement error for the described method was not exceeded 8%. Summary: Created robot together with the developed software has features for remote work also in the variety of harsh weather and environmental conditions, is fully automated and can be remotely controlled using Internet. Designed system enables fish spatial location (GPS coordinates and the depth). The purpose of the robot is a non-invasive measurement of the number of fish in water reservoirs and a measurement of the quality of drinking water consumed by humans, especially in situations where local sources of pollution could have a significant impact on the quality of water collected for water treatment for people and when getting to these places is difficult. The systematically used robot equipped with the appropriate sensors, can be part of early warning system against the pollution of water used by humans (drinking water, natural swimming pools) which can be dangerous for their health. [ABSTRACT FROM AUTHOR]
Copyright of BioMedical Engineering OnLine is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Mobile sailing robot for automatic estimation of fish density and monitoring water quality.
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  Data: <searchLink fieldCode="AR" term="%22Koprowski%2C+Robert%22">Koprowski, Robert</searchLink><relatesTo>1</relatesTo><i> robert.koprowski@us.edu.pl</i><br /><searchLink fieldCode="AR" term="%22Wróbel%2C+Zygmunt%22">Wróbel, Zygmunt</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kleszcz%2C+Agnieszka%22">Kleszcz, Agnieszka</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wilczyński%2C+Sławomir%22">Wilczyński, Sławomir</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Woźnica%2C+Andrzej%22">Woźnica, Andrzej</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Łozowski%2C+Bartosz%22">Łozowski, Bartosz</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Pilarczyk%2C+Maciej%22">Pilarczyk, Maciej</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Karczewski%2C+Jerzy%22">Karczewski, Jerzy</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Migula%2C+Paweł%22">Migula, Paweł</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22BioMedical+Engineering+OnLine%22">BioMedical Engineering OnLine</searchLink>. 2013, Vol. 12 Issue 1, p1-18. 18p. 3 Color Photographs, 1 Black and White Photograph, 3 Diagrams, 2 Charts, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Robotics+in+oceanography%22">Robotics in oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Fishery+monitoring%22">Fishery monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Drinking+water%22">Drinking water</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Positioning+System%22">Global Positioning System</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink>
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  Data: Introduction: The paper presents the methodology and the algorithm developed to analyze sonar images focused on fish detection in small water bodies and measurement of their parameters: volume, depth and the GPS location. The final results are stored in a table and can be exported to any numerical environment for further analysis. Material and method: The measurement method for estimating the number of fish using the automatic robot is based on a sequential calculation of the number of occurrences of fish on the set trajectory. The data analysis from the sonar concerned automatic recognition of fish using the methods of image analysis and processing. Results: Image analysis algorithm, a mobile robot together with its control in the 2.4 GHz band and full cryptographic communication with the data archiving station was developed as part of this study. For the three model fish ponds where verification of fish catches was carried out (548, 171 and 226 individuals), the measurement error for the described method was not exceeded 8%. Summary: Created robot together with the developed software has features for remote work also in the variety of harsh weather and environmental conditions, is fully automated and can be remotely controlled using Internet. Designed system enables fish spatial location (GPS coordinates and the depth). The purpose of the robot is a non-invasive measurement of the number of fish in water reservoirs and a measurement of the quality of drinking water consumed by humans, especially in situations where local sources of pollution could have a significant impact on the quality of water collected for water treatment for people and when getting to these places is difficult. The systematically used robot equipped with the appropriate sensors, can be part of early warning system against the pollution of water used by humans (drinking water, natural swimming pools) which can be dangerous for their health. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of BioMedical Engineering OnLine is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1186/1475-925X-12-60
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      – SubjectFull: Robotics in oceanography
        Type: general
      – SubjectFull: Fishery monitoring
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      – SubjectFull: Drinking water
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