Take advantage of our ready-to-go solutions, crafted by Fluendo, to address your specific needs and challenges. Define any kind of requirements, and we will take the lead from design to implementation and, finally, test. Our solutions are designed to provide immediate value and integrate into your multimedia ecosystem.
The project involved developing a modular recording and re-streaming system to handle large volumes of video streams. The solution needed to support live media ingestion, continuous recording, and flexible re-streaming using standard protocols like RTSP, HLS, and WebRTC. It also required API-driven configuration, containerized deployment, and scalability to support thousands of simultaneous channels.
We worked with the client to develop a video management system (VMS) application that enables real-time security monitoring and playback of video surveillance images from an on-site, centralized, or mobile location. This application has two blocks: the GUI part in C# and the multimedia backend in C/C++, with a strong boundary between them.
The proposal was a development based on automated tests. With automated tests, we are not referring to unit tests; unit tests would not add value in this development phase. We have taken advantage of the JSON API and created functional automated tests. They should be included in the CI/CD to detect bugs at an early stage of development in this backend.
The client’s solution is embedded in a microscope 4K camera. Their GStreamer pipeline needed some video plugins that fixed both the chromatic aberrations and spatial distortion generated by the system’s lenses and digitally reduced the glare in an image.
The project consisted of creating and implementing a correction block for its execution in the GPU of an NVIDIA® Jetson™ Nano.
The system is composed of a digital microscope, where some custom GStreamer filters are applied to improve the video quality. When the video filters were enabled, the client experienced video latency issues. We analyzed each filter’s impact on the whole pipeline. Then, we applied different techniques to reduce the time each filter spent, contributing to the reduction in pipeline time. We achieved a noticeable improvement with the new NVIDIA® resources pool and internal color conversions. A pipeline latency reduction of 20%, from 37 ms to 30 ms.
The client needed to deploy embedded platforms for the TV manufacturing markets and required a solution for HbbTV 1.5 and 2.0 playback.
Our expertise in HbbTV and GStreamer allowed us to create a bridge between the platform’s audio/video interfaces and the HbbTV-capable browser.
Fluendo’s expertise in video streaming and rendering and collaborative approach to development has allowed us to deliver more value to our customers in a shorter time. After the product launch, Fluendo has continued providing timely support to ensure our customers receive a best-in-class video experience.
To meet our low-latency requirements for processing audio pipelines with advanced GStreamer modules, Fluendo’s developers integrated advanced cryptographic modules into neatly reusable GStreamer elements. Fluendo’s architects designed a near-optimal WebRTC-based architecture, enabling low-latency processing of both audio and video pipelines. We are genuinely satisfied with the results and the significant value their consulting services delivered—they played a key role in enhancing our business operations. Fluendo has rock-solid GStreamer expertise and a great sense of precise engineering. It can find unique solutions to the challenges presented by its customers.
Discover how Fluendo developed video streaming in marine scenarios, delivering the appropriate architecture to make it work on global networks.
Explore how OpenCV and GStreamer can be utilized to build scalable, production-ready pipelines for AI-driven multimedia processing.