At Fluendo, our streamlined process is designed to drive success from start to finish. We begin with a thorough briefing to understand your project’s current state and identify areas for improvement. From there, we set clear, measurable goals tailored to your unique needs.
Our design phase focuses on creating an MVP that aligns with your objectives and KPIs. During implementation, we bring the final solution to life and assess its impact. But our commitment doesn’t end with delivery—we continue to provide support, ensuring your business continues to grow and thrive. Explore our process to see how we turn your vision into reality.
Our highly experienced professional experts in multimedia will follow you from the beginning until the very end to deliver a remarkable experience across any industry or business.
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, integrating into your multimedia ecosystem.
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.
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.
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 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.
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.
Fluendo is thrilled to announce the open-sourcing of our TTML plugin: fluttml. This plugin includes three unique elements – ttmlparse, ttmlrender, and ttmlsegmentedparse – designed to enhance subtitle parsing and rendering. Discover more in this blog post!
Fluendo's Consulting Services innovates automated testing in the multimedia sector, integrating advanced tools for a security industry client. Want to know how? Read this article written by Ruben Sánchez.
We are committed to resolving bugs and problems that trouble your software performance. Our dedicated QA and software engineers will help you identify the issues and propose specific fixes.
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 application allows drones to capture 4k video at 60fps to inspect indoor and hostile environments with little or no ambient light.
They detected certain artifacts in the recordings, and the time to capture snapshots was too long. Our expertise allowed us to offer them a GStreamer-based zero-copy solution that runs on an NVIDIA® Jetson™.
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.
As experts in multimedia software, Fluendo has delivered high-quality code and provided professional and valuable support to our team. We can highly recommend them.
Our expert multimedia engineers provide tailored training sessions designed to transfer the necessary knowledge to your team. From beginner to expert multimedia solutions creator, we will collect your specific requirements and design training sessions to empower your organization to gain the specific knowledge you request.
The client wanted to gain expertise in GStreamer. We tailored a training program to address their specific industry needs, ensuring participants gained practical insights into the framework’s functionalities. Through structured sessions and practical examples, we helped them gain a comprehensive understanding of GStreamer, efficiently use its capabilities, and master the fundamentals of plugin development. By addressing pertinent questions and providing hands-on experience, we empowered them for professional growth, significantly contributing to their capacity to deliver innovative solutions in the automotive sector.
The client wanted the team to be able to confidently develop applications for embedded devices that employ GStreamer to read frames from multiple cameras at specific frame rates and, at the same time, be able to start/stop recording videos from these cameras.
We developed customized training that started by covering the fundamentals (application development, best practices, and debugging) and then focused on their application, which is mainly dynamic manipulations of image-only streams from multiple cameras (mono and stereo).
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.
Fluendo has provided us with quality service, always willing to adapt to our requirements, putting at our service both a team of expert professionals and a unique and valid interlocutor to channel our demands, which has facilitated the management of the service. We have been delighted with this collaboration.
The training gave us an understanding of the features and best practices when using GStreamer. It clarified questions we had about building dynamic pipelines as well as how to debug GStreamer applications. Overall, it gave the team the confidence we needed to keep using and improving our GStreamer skills.
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.
Join us as we explore the structure and delivery of our recent intensive GStreamer training, designed to equip teams with the skills to develop applications using this multimedia framework.
How a GStreamer training benefit my business, and how does Fluendo's team do it? Let's talk about it and answer some questions in this blog post.
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 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.
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’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 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.
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.
We offer our expertise to optimize your existing products, enhancing their performance and efficiency. Our tailored solutions help you meet your goals, ensuring your products remain competitive and effective in the market.
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.
Are you facing video latency issues? We tackled this challenge by optimizing advanced GStreamer filters and leveraging NVIDIA, CUDA, and Jetson technologies. This blog post dives deep into our process and the impressive results we achieve for a hardware designer company.
Discover our journey involved transforming a client's camera output with Gaussian blur, achieving remarkable sharpness while preserving low latency. Enjoy the reading!
Boost your team’s capabilities with an in-house engineer from Fluendo. Our professionals bring specialized skills and expertise, seamlessly integrating into your workflow to help you achieve your project goals precisely and efficiently. An engineer with years of experience in multimedia will embed into your team to design, implement or test as per your guidance.
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.
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.
Fluendo will support your upstream open-source work to the community, taking advantage of our over 20 years of experience in open-source contributions. This process brings numerous benefits, such as increased visibility and remarks on the culture of innovation.
