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Systems Design of Underwater 3-D Camera Modules.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Systems Design of Underwater 3-D Camera Modules./
Author:	Paxson, Patrick Richard.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	87 p.
Notes:	Source: Masters Abstracts International, Volume: 84-01.
Contained By:	Masters Abstracts International84-01.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29210647
ISBN:	9798834049579

Systems Design of Underwater 3-D Camera Modules.
Paxson, Patrick Richard.

Systems Design of Underwater 3-D Camera Modules. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 87 p.

Source: Masters Abstracts International, Volume: 84-01.

Thesis (M.S.)--University of California, San Diego, 2022.

This item must not be sold to any third party vendors.

Methods for measuring fish populations are incredibly outdated. Even with rapid improvements in battery technology, compute power and camera systems in the last few years, the most popular techniques for counting fish and measuring their lengths employ humans. In this paper, I present FishSense as an alternative. By utilizing a compact 3-D camera, powerful embedded compute system, and easily-available off-the-shelf parts for assembly, the FishSense modules are sleek, cost-effective and modular systems able to slot into a wide variety of applications. By capturing both depth and color image data, these modules are able to measure the length of individual fish as well, offering an effective non-invasive solution to length & biomass estimation. The hardware design allows for a high degree of modularity, with options for longer battery life, better performance, and applications in longer-term passive monitoring. The FishSense handheld model has been rigorously tested in several deployments, ranging from a small testing pool with toy fish, to a 70,000 gallon aquarium tank, to an active aquaculture center, with more planned in upcoming months, and preliminary software results from these deployments demonstrate the efficacy of the FishSense modules at measuring fish populations and sizes.

ISBN: 9798834049579Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Fish population measurement

Systems Design of Underwater 3-D Camera Modules.
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100 1 $a Paxson, Patrick Richard. $3 3687635
245 1 0 $a Systems Design of Underwater 3-D Camera Modules.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 87 p.
500 $a Source: Masters Abstracts International, Volume: 84-01.
500 $a Advisor: Kastner, Ryan.
502 $a Thesis (M.S.)--University of California, San Diego, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Methods for measuring fish populations are incredibly outdated. Even with rapid improvements in battery technology, compute power and camera systems in the last few years, the most popular techniques for counting fish and measuring their lengths employ humans. In this paper, I present FishSense as an alternative. By utilizing a compact 3-D camera, powerful embedded compute system, and easily-available off-the-shelf parts for assembly, the FishSense modules are sleek, cost-effective and modular systems able to slot into a wide variety of applications. By capturing both depth and color image data, these modules are able to measure the length of individual fish as well, offering an effective non-invasive solution to length & biomass estimation. The hardware design allows for a high degree of modularity, with options for longer battery life, better performance, and applications in longer-term passive monitoring. The FishSense handheld model has been rigorously tested in several deployments, ranging from a small testing pool with toy fish, to a 70,000 gallon aquarium tank, to an active aquaculture center, with more planned in upcoming months, and preliminary software results from these deployments demonstrate the efficacy of the FishSense modules at measuring fish populations and sizes.
590 $a School code: 0033.
650 4 $a Computer science. $3 523869
650 4 $a Electrical engineering. $3 649834
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Conservation biology. $3 535736
653 $a Fish population measurement
653 $a Depth
653 $a Color
653 $a Fish size
653 $a Biomass estimation
690 $a 0984
690 $a 0544
690 $a 0408
690 $a 0792
710 2 $a University of California, San Diego. $b Computer Science and Engineering. $3 1018473
773 0 $t Masters Abstracts International $g 84-01.
790 $a 0033
791 $a M.S.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29210647