• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

WiseEye:用于野生动物研究的下一代可扩展可编程相机陷阱平台。

WiseEye: Next Generation Expandable and Programmable Camera Trap Platform for Wildlife Research.

作者信息

Nazir Sajid, Newey Scott, Irvine R Justin, Verdicchio Fabio, Davidson Paul, Fairhurst Gorry, Wal René van der

机构信息

School of Engineering, University of Aberdeen, Aberdeen, United Kingdom.

The James Hutton Institute, Aberdeen, United Kingdom.

出版信息

PLoS One. 2017 Jan 11;12(1):e0169758. doi: 10.1371/journal.pone.0169758. eCollection 2017.

DOI:10.1371/journal.pone.0169758
PMID:28076444
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5226779/
Abstract

The widespread availability of relatively cheap, reliable and easy to use digital camera traps has led to their extensive use for wildlife research, monitoring and public outreach. Users of these units are, however, often frustrated by the limited options for controlling camera functions, the generation of large numbers of images, and the lack of flexibility to suit different research environments and questions. We describe the development of a user-customisable open source camera trap platform named 'WiseEye', designed to provide flexible camera trap technology for wildlife researchers. The novel platform is based on a Raspberry Pi single-board computer and compatible peripherals that allow the user to control its functions and performance. We introduce the concept of confirmatory sensing, in which the Passive Infrared triggering is confirmed through other modalities (i.e. radar, pixel change) to reduce the occurrence of false positives images. This concept, together with user-definable metadata, aided identification of spurious images and greatly reduced post-collection processing time. When tested against a commercial camera trap, WiseEye was found to reduce the incidence of false positive images and false negatives across a range of test conditions. WiseEye represents a step-change in camera trap functionality, greatly increasing the value of this technology for wildlife research and conservation management.

摘要

相对廉价、可靠且易于使用的数码摄像陷阱的广泛普及,使得它们在野生动物研究、监测及公众宣传方面得到了广泛应用。然而,这些设备的用户常常因相机功能控制选项有限、生成大量图像以及缺乏适应不同研究环境和问题的灵活性而感到沮丧。我们描述了一种名为“WiseEye”的用户可定制开源摄像陷阱平台的开发,旨在为野生动物研究人员提供灵活的摄像陷阱技术。这个新颖的平台基于树莓派单板计算机及兼容的外围设备,允许用户控制其功能和性能。我们引入了确认传感的概念,即通过其他方式(如雷达、像素变化)确认被动红外触发,以减少误报图像的出现。这一概念与用户可定义的元数据一起,有助于识别虚假图像并大大减少采集后处理时间。在与商业摄像陷阱进行测试时,发现WiseEye在一系列测试条件下降低了误报图像和漏报图像的发生率。WiseEye代表了摄像陷阱功能的一次重大变革,极大地提高了这项技术在野生动物研究和保护管理中的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/1a9cd257cd68/pone.0169758.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/83ecb8867819/pone.0169758.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/90d28b67e9c4/pone.0169758.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/f0eecd09636b/pone.0169758.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/1a9cd257cd68/pone.0169758.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/83ecb8867819/pone.0169758.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/90d28b67e9c4/pone.0169758.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/f0eecd09636b/pone.0169758.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b95/5226779/1a9cd257cd68/pone.0169758.g004.jpg

相似文献

1
WiseEye: Next Generation Expandable and Programmable Camera Trap Platform for Wildlife Research.WiseEye:用于野生动物研究的下一代可扩展可编程相机陷阱平台。
PLoS One. 2017 Jan 11;12(1):e0169758. doi: 10.1371/journal.pone.0169758. eCollection 2017.
2
EventFinder: a program for screening remotely captured images.事件探测器:一个用于筛选远程捕获图像的程序。
Environ Monit Assess. 2019 May 31;191(6):406. doi: 10.1007/s10661-019-7518-9.
3
Limitations of recreational camera traps for wildlife management and conservation research: a practitioner's perspective.用于野生动物管理与保护研究的娱乐性相机陷阱的局限性:从业者视角
Ambio. 2015 Nov;44 Suppl 4(Suppl 4):624-35. doi: 10.1007/s13280-015-0713-1.
4
Semi-automated camera trap image processing for the detection of ungulate fence crossing events.用于检测有蹄类动物跨越围栏事件的半自动相机陷阱图像处理
Environ Monit Assess. 2017 Sep 27;189(10):527. doi: 10.1007/s10661-017-6206-x.
5
: A Field-Scouting Software for the Identification of Wildlife in Camera Trap Images.用于识别相机陷阱图像中野生动物的野外侦察软件。
Animals (Basel). 2019 Dec 27;10(1):58. doi: 10.3390/ani10010058.
6
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.利用深度学习自动识别、计数和描述相机陷阱图像中的野生动物。
Proc Natl Acad Sci U S A. 2018 Jun 19;115(25):E5716-E5725. doi: 10.1073/pnas.1719367115. Epub 2018 Jun 5.
7
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.无人机与人工智能正在彻底改变野生动物监测与保护工作。
Sensors (Basel). 2016 Jan 14;16(1):97. doi: 10.3390/s16010097.
8
Review: COVID-19 highlights the importance of camera traps for wildlife conservation research and management.综述:新冠疫情凸显了相机陷阱在野生动物保护研究与管理中的重要性。
Biol Conserv. 2021 Apr;256:108984. doi: 10.1016/j.biocon.2021.108984. Epub 2021 Feb 2.
9
Software to facilitate and streamline camera trap data management: A review.促进和简化相机陷阱数据管理的软件:综述
Ecol Evol. 2018 Sep 6;8(19):9947-9957. doi: 10.1002/ece3.4464. eCollection 2018 Oct.
10
A generalized approach for producing, quantifying, and validating citizen science data from wildlife images.一种用于生成、量化和验证来自野生动物图像的公民科学数据的通用方法。
Conserv Biol. 2016 Jun;30(3):520-31. doi: 10.1111/cobi.12695. Epub 2016 Apr 25.

引用本文的文献

1
Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes.用延时摄像机监测的哺乳动物诱饵增加了蟒蛇和其他蛇类的检测。
PeerJ. 2024 Jun 24;12:e17577. doi: 10.7717/peerj.17577. eCollection 2024.
2
Co-occurrence models fail to infer underlying patterns of avoidance and aggregation when closure is violated.当封闭性被违反时,共现模型无法推断出回避和聚集的潜在模式。
Ecol Evol. 2022 Jul 11;12(7):e9104. doi: 10.1002/ece3.9104. eCollection 2022 Jul.
3
A Smart Camera Trap for Detection of Endotherms and Ectotherms.

本文引用的文献

1
Quality Index for Stereoscopic Images by Separately Evaluating Adding and Subtracting.通过分别评估加法和减法来确定立体图像的质量指标。
PLoS One. 2015 Dec 30;10(12):e0145800. doi: 10.1371/journal.pone.0145800. eCollection 2015.
2
Limitations of recreational camera traps for wildlife management and conservation research: a practitioner's perspective.用于野生动物管理与保护研究的娱乐性相机陷阱的局限性:从业者视角
Ambio. 2015 Nov;44 Suppl 4(Suppl 4):624-35. doi: 10.1007/s13280-015-0713-1.
3
Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data: a case study of reintroduced red kites.
用于检测温血动物和冷血动物的智能相机陷阱。
Sensors (Basel). 2022 May 28;22(11):4094. doi: 10.3390/s22114094.
4
Raspberry Pi nest cameras: An affordable tool for remote behavioral and conservation monitoring of bird nests.树莓派鸟巢相机:一种用于鸟巢远程行为和保护监测的经济实惠的工具。
Ecol Evol. 2021 Oct 11;11(21):14585-14597. doi: 10.1002/ece3.8127. eCollection 2021 Nov.
5
Deployment-based lifetime optimization for linear wireless sensor networks considering both retransmission and discrete power control.考虑重传和离散功率控制的线性无线传感器网络基于部署的寿命优化
PLoS One. 2017 Nov 29;12(11):e0188519. doi: 10.1371/journal.pone.0188519. eCollection 2017.
自动数据分析以快速从卫星标记数据中得出并传达生态见解:重新引入的红鸢的案例研究
Ambio. 2015 Nov;44 Suppl 4(Suppl 4):612-23. doi: 10.1007/s13280-015-0711-3.
4
Developing an automated risk management tool to minimize bird and bat mortality at wind facilities.开发一种自动化风险管理工具,以尽量减少风力发电设施中鸟类和蝙蝠的死亡。
Ambio. 2015 Nov;44 Suppl 4(Suppl 4):557-71. doi: 10.1007/s13280-015-0707-z.
5
Digital conservation: an introduction.数字保存:简介
Ambio. 2015 Nov;44 Suppl 4(Suppl 4):517-21. doi: 10.1007/s13280-015-0701-5.
6
A novel method to reduce time investment when processing videos from camera trap studies.一种在处理来自相机陷阱研究的视频时减少时间投入的新方法。
PLoS One. 2014 Jun 11;9(2):e98881. doi: 10.1371/journal.pone.0098881. eCollection 2014.
7
Optimising camera traps for monitoring small mammals.优化相机陷阱以监测小型哺乳动物。
PLoS One. 2013 Jun 28;8(6):e67940. doi: 10.1371/journal.pone.0067940. Print 2013.
8
Into the night: camera traps reveal nocturnal activity in a presumptive diurnal primate, Rhinopithecus brelichi.入夜时分:相机陷阱揭示了一种假定为昼行性的灵长类动物——白颊长臂猿的夜间活动。
Primates. 2013 Jan;54(1):1-6. doi: 10.1007/s10329-012-0318-2. Epub 2012 Jul 29.
9
Community structure and diversity of tropical forest mammals: data from a global camera trap network.热带森林哺乳动物的群落结构和多样性:来自全球相机陷阱网络的数据。
Philos Trans R Soc Lond B Biol Sci. 2011 Sep 27;366(1578):2703-11. doi: 10.1098/rstb.2011.0115.
10
New frontiers in biologging science.生物记录科学的新前沿。
Biol Lett. 2009 Jun 23;5(3):289-92. doi: 10.1098/rsbl.2009.0089. Epub 2009 Mar 11.