Evidence map›Paper›PMID 35498233›Full record

ArticleHardwareX2020

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

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

Abstract read
In one paragraph

Article in HardwareX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ghadi SalemSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Jonathan KrynitskySignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Noah CubertSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Alex PuDivision of Veterinary Services, Center for Biologics Evaluation and Research, U. S. Food and Drug Administration, USA.
Simeon AnfinrudSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Jonathan PedersenSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Joshua LehmanSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Ajith KanuriSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.
Thomas PohidaSignal Processing and Instrumentation Section, Office of Intramural Research, Center for Information Technology, National Institutes of Health, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Digital Video Recorder (DVR)Multi-camera synchronized acquisitionRaspberry PI camera DVR

Identifiers

PMID35498233
PMCPMC9041262

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.