• 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

适用于树莓派摄像头的数字视频录像机,具备多摄像头同步采集功能。

Digital video recorder for Raspberry PI cameras with multi-camera synchronous acquisition.

作者信息

Salem Ghadi, Krynitsky Jonathan, Cubert Noah, Pu Alex, Anfinrud Simeon, Pedersen Jonathan, Lehman Joshua, Kanuri Ajith, Pohida Thomas

机构信息

Signal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.

Division of Veterinary Services, Center for Biologics Evaluation and Research, U. S. Food and Drug Administration, USA.

出版信息

HardwareX. 2020 Nov 26;8:e00160. doi: 10.1016/j.ohx.2020.e00160. eCollection 2020 Oct.

DOI:10.1016/j.ohx.2020.e00160
PMID:35498233
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9041262/
Abstract

Video acquisition and analysis have become integral parts of scientific research. Two major components of a video acquisition system are the choice of camera and the acquisition software. A vast variety of cameras are available on the market. Turnkey multi-camera synchronous acquisition software, however, is not as widely available. For prototyping applications, the Raspberry Pi (RPi) has been widely utilized due to many factors, including cost. There are implementations for video acquisition and preview from a single RPi camera, including one implementation released by the RPi organization itself. However, there are no multi-camera acquisition solutions for the RPi. This paper presents an open-source digital video recorder (DVR) system for the popular RPi camera. The DVR is simple to setup and use for acquisition with a single camera or multiple cameras. In the case of multiple cameras, the acquisition is synchronized between cameras. The DVR comes with a graphical user interface (GUI) to allow previewing the camera streams, setting recording parameters, and associating "names" to cameras. The acquisition code as well as the DVR GUI are written in Python. The open-source software also includes a GUI for playback of recorded video. The versatility of the DVR is demonstrated with a life science research application involving high-throughput monitoring of fruit-flies.

摘要

视频采集与分析已成为科学研究不可或缺的一部分。视频采集系统的两个主要组成部分是相机的选择和采集软件。市场上有各种各样的相机。然而,交钥匙式多相机同步采集软件却没有那么普及。由于包括成本在内的诸多因素,树莓派(RPi)在原型应用中得到了广泛应用。有从单个RPi相机进行视频采集和预览的实现方式,包括RPi组织自身发布的一种实现方式。然而,对于RPi来说,没有多相机采集解决方案。本文介绍了一种适用于流行的RPi相机的开源数字视频录像机(DVR)系统。该DVR易于设置,可用于单个相机或多个相机的采集。在多相机的情况下,相机之间的采集是同步的。该DVR配有图形用户界面(GUI),可用于预览相机流、设置录制参数以及为相机关联“名称”。采集代码以及DVR GUI均用Python编写。该开源软件还包括一个用于回放录制视频的GUI。通过一个涉及果蝇高通量监测的生命科学研究应用展示了该DVR的多功能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/00feb708cc59/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1c098b844f2a/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/af8f1cd889a1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1bd9b9a69152/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/d657f6f6730a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/871edfbfb6a0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/67f05be2f415/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/124133c434c4/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/26d8cb0f2dcd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/86b46a8d910c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1cfcf5fdb8a0/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/00feb708cc59/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1c098b844f2a/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/af8f1cd889a1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1bd9b9a69152/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/d657f6f6730a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/871edfbfb6a0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/67f05be2f415/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/124133c434c4/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/26d8cb0f2dcd/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/86b46a8d910c/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/1cfcf5fdb8a0/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f90f/9041262/00feb708cc59/gr10.jpg

相似文献

1
Digital video recorder for Raspberry PI cameras with multi-camera synchronous acquisition.适用于树莓派摄像头的数字视频录像机,具备多摄像头同步采集功能。
HardwareX. 2020 Nov 26;8:e00160. doi: 10.1016/j.ohx.2020.e00160. eCollection 2020 Oct.
2
REVEALS: An Open Source Multi Camera GUI For Rodent Behavior Acquisition.REVEALS:一款用于啮齿动物行为采集的开源多摄像头图形用户界面。
bioRxiv. 2023 Aug 23:2023.08.22.554365. doi: 10.1101/2023.08.22.554365.
3
Motmot, an open-source toolkit for realtime video acquisition and analysis.Motmot,一个用于实时视频采集与分析的开源工具包。
Source Code Biol Med. 2009 Jul 22;4:5. doi: 10.1186/1751-0473-4-5.
4
REVEALS: an open-source multi-camera GUI for rodent behavior acquisition.揭示:用于啮齿动物行为采集的开源多摄像机图形用户界面。
Cereb Cortex. 2024 Oct 3;34(10). doi: 10.1093/cercor/bhae421.
5
A low-cost, open-source digital stripchart recorder for chromatographic detectors using a Raspberry Pi.使用树莓派的低成本、开源数字条带图记录仪,用于色谱检测器。
J Chromatogr A. 2019 Oct 11;1603:396-400. doi: 10.1016/j.chroma.2019.03.070. Epub 2019 Apr 1.
6
PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience.PiRATeMC:一个高度灵活、可扩展且低成本的系统,用于获取行为神经科学的高质量视频记录。
Addict Neurosci. 2023 Dec;8. doi: 10.1016/j.addicn.2023.100108. Epub 2023 Jun 17.
7
Pi USB Cam: A Simple and Affordable DIY Solution That Enables High-Quality, High-Throughput Video Capture for Behavioral Neuroscience Research.Pi USB Cam:一种简单且经济实惠的 DIY 解决方案,可实现行为神经科学研究的高质量、高通量视频捕获。
eNeuro. 2022 Sep 28;9(5). doi: 10.1523/ENEURO.0224-22.2022. Print 2022 Sep-Oct.
8
Quantifying and Ranking Quality for Acquired Recordings on Digital Video Recorders.对数字视频录像机上获取的录制内容进行质量量化和排名
J Forensic Sci. 2020 Jul;65(4):1155-1168. doi: 10.1111/1556-4029.14307. Epub 2020 Mar 5.
9
High quality, high throughput, and low-cost simultaneous video recording of 60 animals in operant chambers using PiRATeMC.使用 PiRATeMC 可在操作室内同时高质量、高通量、低成本地记录 60 只动物的视频。
J Neurosci Methods. 2024 Nov;411:110270. doi: 10.1016/j.jneumeth.2024.110270. Epub 2024 Aug 31.
10
High quality, high throughput, and low-cost simultaneous video recording of 60 animals in operant chambers using PiRATeMC.使用PiRATeMC在操作箱中对60只动物进行高质量、高通量和低成本的同步视频记录。
bioRxiv. 2023 Dec 4:2023.11.13.566747. doi: 10.1101/2023.11.13.566747.

引用本文的文献

1
A Study on the 3D Reconstruction Strategy of a Sheep Body Based on a Kinect v2 Depth Camera Array.基于Kinect v2深度相机阵列的绵羊身体三维重建策略研究
Animals (Basel). 2024 Aug 23;14(17):2457. doi: 10.3390/ani14172457.
2
MouseVUER: video based open-source system for laboratory mouse home-cage monitoring.MouseVUER:基于视频的开源实验室小鼠笼内监测系统。
Sci Rep. 2024 Feb 1;14(1):2662. doi: 10.1038/s41598-024-52788-9.
3
Whole Animal Feeding FLat (WAFFL): a complete and comprehensive validation of a novel, high-throughput fly experimentation system.

本文引用的文献

1
Three-Dimensional Pose Estimation for Laboratory Mouse From Monocular Images.基于单目图像的实验鼠三维位姿估计
IEEE Trans Image Process. 2019 Sep;28(9):4273-4287. doi: 10.1109/TIP.2019.2908796. Epub 2019 Apr 1.
2
Machine vision methods for analyzing social interactions.用于分析社交互动的机器视觉方法。
J Exp Biol. 2017 Jan 1;220(Pt 1):25-34. doi: 10.1242/jeb.142281.
3
Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.使用深度感应、视频跟踪和机器学习自动测量小鼠的社会行为。
整体动物喂养平板(WAFFL):一种新型高通量蝇类实验系统的全面验证。
G3 (Bethesda). 2023 Mar 9;13(3). doi: 10.1093/g3journal/jkad012.
Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5351-60. doi: 10.1073/pnas.1515982112. Epub 2015 Sep 9.
4
Automated image-based tracking and its application in ecology.基于图像的自动追踪及其在生态学中的应用。
Trends Ecol Evol. 2014 Jul;29(7):417-28. doi: 10.1016/j.tree.2014.05.004. Epub 2014 Jun 5.
5
SCORHE: a novel and practical approach to video monitoring of laboratory mice housed in vivarium cage racks.SCORHE:一种用于对饲养在动物饲养笼架中的实验小鼠进行视频监测的新颖实用方法。
Behav Res Methods. 2015 Mar;47(1):235-50. doi: 10.3758/s13428-014-0451-5.