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FishCam:一款用于水生研究的低成本开源自主相机。

FishCam: A low-cost open source autonomous camera for aquatic research.

作者信息

Mouy Xavier, Black Morgan, Cox Kieran, Qualley Jessica, Mireault Callum, Dosso Stan, Juanes Francis

机构信息

School of Earth and Ocean Sciences, University of Victoria, 3800 Finnerty Road, Victoria, BC V8P 5C2, Canada.

JASCO Applied Sciences, 2305-4464 Markham Street, Victoria, BC V8Z 7X8, Canada.

出版信息

HardwareX. 2020 May 23;8:e00110. doi: 10.1016/j.ohx.2020.e00110. eCollection 2020 Oct.

Abstract

We describe the "FishCam", a low-cost ( 500 USD) autonomous camera package to record videos and images underwater. The system is composed of easily accessible components and can be programmed to turn ON and OFF on customizable schedules. Its 8-megapixel camera module is capable of taking 3280 × 2464-pixel images and videos. An optional buzzer circuit inside the pressure housing allows synchronization of the video data from the FishCam with passive acoustic recorders. Ten FishCam deployments were performed along the east coast of Vancouver Island, British Columbia, Canada, from January to December 2019. Field tests demonstrate that the proposed system can record up to 212 h of video data over a period of at least 14 days. The FishCam data collected allowed us to identify fish species and observe species interactions and behaviors. The FishCam is an operational, easily-reproduced and inexpensive camera system that can help expand both the temporal and spatial coverage of underwater observations in ecological research. With its low cost and simple design, it has the potential to be integrated into educational and citizen science projects, and to facilitate learning the basics of electronics and programming.

摘要

我们介绍了“FishCam”,这是一种低成本(500美元)的自主水下摄像设备,用于记录水下视频和图像。该系统由易于获取的组件组成,可通过编程按可定制的时间表开启和关闭。其800万像素的摄像头模块能够拍摄3280×2464像素的图像和视频。压力外壳内的一个可选蜂鸣器电路可使FishCam的视频数据与被动声学记录器同步。2019年1月至12月,在加拿大不列颠哥伦比亚省温哥华岛东海岸进行了10次FishCam部署。现场测试表明,该系统在至少14天的时间内最多可记录212小时的视频数据。收集到的FishCam数据使我们能够识别鱼类物种,并观察物种间的相互作用和行为。FishCam是一种实用、易于复制且价格低廉的摄像系统,有助于扩大生态研究中水下观测的时间和空间覆盖范围。凭借其低成本和简单的设计,它有潜力被整合到教育和公民科学项目中,并便于学习电子学和编程的基础知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fea/9041213/e7c8ef354154/ga1.jpg

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