Our team of experienced experts will guide you through every step of the development of solutions and products. Mostly useful at the beginning of a project, we can help you from the definition of the architecture, election of framework to choosing the right test environment for your multimedia solutions.
The client was developing a 3D remote rendering application using CUDA on an NVIDIA® graphic card to generate the 3D scenes. They required us to optimize their GStreamer system to reduce CPU usage. Also, the high latency was a problem for a real interactive experience. With our coding expertise in this framework, we helped them improve the software’s performance to be production-ready.
The client’s hardware used an application for Windows that was no longer supported, and they decided to use GStreamer to make it a multiplatform (Win, MacOS, Linux) tool. The application’s front end was built with C#, with a layer in C/C++, but the system was unstable and had memory leaks and crashes. We got involved in the middle of the development, dividing the project into two phases: stabilizing the system and adding different features like masking and wrapping. Our expertise allowed us to test different approaches and get their app working before the product’s launch.
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 client develops global hardware and software for video surveillance systems. Their solution uses AI to analyze video flows from multiple IP cameras, which are later aggregated and encoded for real-time streaming in their client web application.
Their encoding/streaming system was based on FFmpeg, but as they switched to GStreamer, they required our help to perform a deep analysis and suggest possible improvements to their pipelines. Our expertise in this framework allowed us to optimize them for NVIDIA® hardware acceleration.
Fluendo’s expertise in video streaming and rendering and its collaborative approach to development has allowed us to deliver more value to our customers in a shorter time. And after the product launch, Fluendo has continued providing timely support to ensure our customers receive a best-in-class video experience.
During our Innovation Days, we worked on a project called Flaw Detector, a technology that can help with visual inspections of your business and take it to the next level.
A custom compilation is essential to harnessing GStreamer's full potential on NVIDIA® Jetson™. Whether you are a developer diving into video processing or optimizing performance for embedded systems, this guide will walk you through the steps to have everything ready and start working with these powerful technologies.