Evidence map›Paper›PMID 40138339›Full record

ArticlePloS one2025

Design of real-time transmission system for underwater panoramic camera based on RTSP.

Wenhui Wang, Yongqi Li, Rufei He

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wenhui WangCSG PGC Power Storage Research Institute, Guangzhou, China.ORCID 0000-0001-8775-2712
Yongqi LiCSG PGC Power Storage Research Institute, Guangzhou, China.
Rufei HeCSG PGC Power Storage Research Institute, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underwater environment is complex and variable, with limited transmission bandwidth and strong clutter and interference signals, which make the collected images susceptible to adverse effects such as attenuation and diffusion, resulting in image signal transmission congestion. In the current transmission system application process, the interference noise present in the collected original image will increase the average reprojection error of the image; And some systems have complex data collection processes, requiring the deployment of multiple sensors, which increases data transmission time. In order to improve the ability and efficiency of underwater data collection and transmission, and ensure the quality of underwater multimedia data transmission, a real-time transmission system for underwater panoramic cameras based on RTSP (Real Time Streaming Protocol) was designed. In the data acquisition layer, after setting the relevant parameters of the underwater panoramic camera through camera calibration method, the calibrated underwater panoramic camera is used to collect underwater data. The collected underwater data is compressed and encoded by the encoder in the data encoding layer, and then transmitted to the RTSP server layer. After receiving compressed and encoded underwater data, the RTSP server layer stores it on disk and encapsulates it into RTP (Real-time Transport Protocol) packets. The congestion control method using RTCP feedback monitors the network status in real-time and dynamically adjusts the data transmission rate, effectively avoiding the occurrence of network congestion problems. The RTSP application layer client receives data from the RTSP server, implements restructuring analysis through RTP packets, and sends the restructured frame data into a double buffer waiting for decoding and playback or file recording, achieving real-time transmission of underwater panoramic cameras. The experimental results show that the data transmission effect and quality of the system are good, and the average reprojection error of the calibrated image is 0.12 pixels; During the process of data collection and transmission, the effective time window of the eye diagram is the largest, and the waveform of the top-level data transmission tends to be stable with the smallest fluctuation amsplitude; Dynamically adjust the data transmission rate, control the network packet loss rate below 0.5%, and improve the real-time transmission efficiency of underwater data.

Indexed as

Image Processing, Computer-AssistedPhotographyAlgorithmsCalibrationWaterWater

Identifiers

PMID40138339
PMCPMC11940691

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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.