The Open-source Camera Trap for Organism Presence and Underwater Surveillance (OCTOPUS)
被引:2
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作者:
Humbert, Jefferson W.
论文数: 0引用数: 0
h-index: 0
机构:
Walla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USAWalla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USA
Humbert, Jefferson W.
[1
]
Onthank, Kirt L.
论文数: 0引用数: 0
h-index: 0
机构:
Walla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USAWalla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USA
Onthank, Kirt L.
[1
]
Williams, Kresimir
论文数: 0引用数: 0
h-index: 0
机构:
Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, Resource Assessment & Conservat Engn Div, 7600 Sand Point Way NE, Seattle, WA 98115 USAWalla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USA
Williams, Kresimir
[2
]
机构:
[1] Walla Walla Univ, Dept Biol Sci, College Pl, WA 99324 USA
[2] Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, Resource Assessment & Conservat Engn Div, 7600 Sand Point Way NE, Seattle, WA 98115 USA
来源:
HARDWAREX
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2023年
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13卷
关键词:
Citizen science;
Open-source technology;
Trigger camera;
Camera trap;
Benthic ecology;
Population ecology;
D O I:
10.1016/j.ohx.2023.e00394
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This Open-source Camera Trap for Organism Presence and Underwater Surveillance (OCTOPUS) was designed to operate as a motion activated camera trap, deployable at depths of up to 800 ft for -72 h deployments. The core components of the OCTOPUS are built off a Raspberry Pi 3B+ with a custom PCB hat which operates a strobe lighting system and a high definition Arducam camera. When an appropriate threshold of motion is detected, the OCTOPUS captures a high-definition image of the subject. Field trials for this system demonstrated its use for cryptic benthic organisms, specifically small octopus (Octopus rubescens). The OCTOPUS collected data on several species allowing the observa-tion and quantification of interspecific and conspecific interactions. This system unlocks the potential of autonomous underwater data collection for a wide range of applications, from species specific observations to large scale ecological assessments.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).