Smartrawl “Eye”: a vision-based technique for fish detection and species identification

Dewei Yi; Paul G. Fernandes

Smartrawl “Eye”: a vision-based technique for fish detection and species identification

Dewei Yi, Paul G. Fernandes

Heriot-Watt University

Research output: Contribution to conference › Abstract › peer-review

Abstract

The Smartrawl eye is a vision-based AI technique fitted to fishing trawls, enabling the detection and identification of fish species. Combined with other elements of the Smartrawl, this “eye” can contribute to eliminate discards and bycatch, which are a global problem threatening fisheries sustainability.

Original language	English
Number of pages	1
Publication status	Published - 8 Nov 2022
Event	MASTS Annual Science Meeting 2022: “Supporting Delivery of the Blue Economy Vision” - Technology & Innovation Centre, University of Strathclyde, Glasgow, United Kingdom Duration: 8 Nov 2022 → 10 Nov 2022 https://masts.ac.uk/annual-science-meeting/

Conference

Conference	MASTS Annual Science Meeting 2022
Country/Territory	United Kingdom
City	Glasgow
Period	8/11/22 → 10/11/22
Internet address	https://masts.ac.uk/annual-science-meeting/

Bibliographical note

Acknowledgements
The Smartrawl project has been funded by Fisheries Innovation Scotland, through their membership organisations, chief amongst which was Marine Scotland: all of their support is gratefully acknowledged. The vision-based technique was
developed with the assistance of Yiren Li and Sean Flinn (University of Aberdeen). Shaun Fraser (UHI) is thanked for running field trials and data collection.

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Cite this

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title = "Smartrawl “Eye”: a vision-based technique for fish detection and species identification ",

abstract = "The Smartrawl eye is a vision-based AI technique fitted to fishing trawls, enabling the detection and identification of fish species. Combined with other elements of the Smartrawl, this “eye” can contribute to eliminate discards and bycatch, which are a global problem threatening fisheries sustainability. ",

author = "Dewei Yi and Fernandes, {Paul G.}",

note = "Acknowledgements The Smartrawl project has been funded by Fisheries Innovation Scotland, through their membership organisations, chief amongst which was Marine Scotland: all of their support is gratefully acknowledged. The vision-based technique was developed with the assistance of Yiren Li and Sean Flinn (University of Aberdeen). Shaun Fraser (UHI) is thanked for running field trials and data collection.; MASTS Annual Science Meeting 2022 : “Supporting Delivery of the Blue Economy Vision” ; Conference date: 08-11-2022 Through 10-11-2022",

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AU - Fernandes, Paul G.

N1 - Acknowledgements The Smartrawl project has been funded by Fisheries Innovation Scotland, through their membership organisations, chief amongst which was Marine Scotland: all of their support is gratefully acknowledged. The vision-based technique was developed with the assistance of Yiren Li and Sean Flinn (University of Aberdeen). Shaun Fraser (UHI) is thanked for running field trials and data collection.

PY - 2022/11/8

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N2 - The Smartrawl eye is a vision-based AI technique fitted to fishing trawls, enabling the detection and identification of fish species. Combined with other elements of the Smartrawl, this “eye” can contribute to eliminate discards and bycatch, which are a global problem threatening fisheries sustainability.

AB - The Smartrawl eye is a vision-based AI technique fitted to fishing trawls, enabling the detection and identification of fish species. Combined with other elements of the Smartrawl, this “eye” can contribute to eliminate discards and bycatch, which are a global problem threatening fisheries sustainability.

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Smartrawl “Eye”: a vision-based technique for fish detection and species identification

Abstract

Conference

Bibliographical note

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