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用于生物存在和水下监测的开源相机陷阱(章鱼)。

The Open-source Camera Trap for Organism Presence and Underwater Surveillance (OCTOPUS).

作者信息

Humbert Jefferson W, Onthank Kirt L, Williams Kresimir

机构信息

Department of Biological Sciences, Walla Walla University, College Place, WA, United States.

National Marine Fisheries Service, Alaska Fisheries Science Center , Resource Assessment and Conservation Engineering Division, 7600 Sand Point Way NE, Seattle, WA 98115, United States.

出版信息

HardwareX. 2023 Jan 13;13:e00394. doi: 10.1016/j.ohx.2023.e00394. eCollection 2023 Mar.

Abstract

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 (). The OCTOPUS collected data on several species allowing the observation 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.

摘要

这款用于生物存在检测和水下监测的开源相机陷阱(OCTOPUS)被设计为一个运动激活相机陷阱,可部署在深度达800英尺的地方,进行约72小时的部署。OCTOPUS的核心组件基于树莓派3B+构建,带有一个定制的印刷电路板扩展板,用于操作频闪照明系统和高清Arducam相机。当检测到适当的运动阈值时,OCTOPUS会捕捉目标的高清图像。该系统的实地试验证明了其在隐秘底栖生物,特别是小章鱼()方面的应用。OCTOPUS收集了关于多个物种的数据,从而能够观察和量化种间和种内相互作用。该系统开启了自主水下数据收集在从物种特定观察到大规模生态评估等广泛应用中的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26e/9860435/593e8957eb34/ga1.jpg

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