Keep your products updated with Fluendo’s enterprise solutions to cover all your multimedia needs. Bring latest audio and video codecs, and avoid the hassle of being compliant with a specific standard.
The client needed a scalable, modular system capable of handling high volumes of video streams for recording and re-streaming purposes. The solution was required to support live media ingestion, continuous recording, and dynamic re-streaming using standard protocols such as RTSP, HLS, and WebRTC. Additionally, the system had to be API-driven, containerized for flexible deployment, and designed to scale efficiently to support thousands of concurrent channels.
We implemented a containerized, Docker-based architecture with built-in support for standard streaming protocols including RTSP, HLS, and WebRTC. The system featured an API-driven configuration layer for dynamic stream management and was architected for scalability, capable of supporting over 10,000 concurrent video channels.
For a closer look at how we approach scalability and re-streaming challenges, check out our article Recasting and recording system, which expands on the techniques and architecture that underpin this project.
Broadcasting
API-driven system supporting 10,000+ concurrent video channels
Broadcasting
API-driven system supporting 10,000+ concurrent video channels
The client needed to replace manual and error-prone ad spotting with a high-accuracy AI-powered advertisement detection system that could run privately at the edge. Key requirements included precise ad recognition in both video and audio, support for multiple languages, and offline processing to minimize bandwidth usage, protect sensitive multimedia content, and reduce operational costs.
The solution was delivered as a self-contained Docker application with a full CLI, ensuring portability, easy maintenance, and scalability. Designed for robustness and future-readiness, this AI-driven advertisement detection solution empowers businesses to automate ad tracking while maintaining efficiency, privacy, and cost control.
The client transitioned from manual ad spotting to an AI-powered advertisement detection system achieving 96.36% average accuracy with minimal timing offsets across English, Spanish, Basque, Catalan, and Galician. By deploying AI at the edge, the solution eliminates constant cloud dependency, reducing costs, accelerating processing, and ensuring full control of sensitive multimedia content. This not only simplifies compliance but also minimizes manual effort and enables confident verification.
In practice, the system streamlines multimedia operations, strengthens advertiser relationships, and scales seamlessly with demand. Built to support reliable, multilingual ad detection technology, the solution reflects Fluendo’s commitment to delivering future-ready AI solutions for multimedia content analysis.
96.36% accurate ad detection across five languages at the edge
96.36% accurate ad detection across five languages at the edge
As video becomes central to entertainment, social media, e-learning, and news reporting, creators increasingly film in uncontrolled or sensitive environments—city streets, classrooms, hospitals, protests, and corporate settings where bystanders may appear without consent. Under GDPR and similar data-protection laws, publishing identifiable individuals without permission risks legal action and reputational harm. An automated anonymization system can detect and obscure faces in live streams or recordings without undermining creative vision.
Recent advancements in AI and real-time processing now allow scalable anonymization pipelines for post-production, livestreaming, and mobile content capture.
Anonymizer is a Fluendo AI Plugin built to fit seamlessly into today’s media production workflows, whether editing on a desktop, capturing on mobile, or livestreaming from the field. Powered by a GStreamer pipeline, it delivers real-time face blurring and frame-accurate anonymization across various video formats, codecs, and resolutions.
Designed for content creators, journalists, educators, broadcasters, and corporate teams, Anonymizer enables privacy-safe video creation in both live and post-production scenarios. Its scalable architecture supports on-device and centralized processing, allowing you to automatically anonymize video content anywhere—with minimal setup and no manual intervention—including dedicated features for children anonymization to meet stricter privacy regulations.
Protect identities without cloud processing. Film in sensitive areas without post-clearance delays — ensuring privacy, compliance, and faster production.
Delivers GDPR-aligned workflows by anonymizing personal data before it is stored or analyzed, ensuring regulatory compliance.
Shields against takedowns, lawsuits, and platform penalties.
Protect identities without cloud processing. Film in sensitive areas without post-clearance delays — ensuring privacy, compliance, and faster production.
Delivers GDPR-aligned workflows by anonymizing personal data before it is stored or analyzed, ensuring regulatory compliance.
Shields against takedowns, lawsuits, and platform penalties.
The training provided was incredibly valuable for our team. The new joiners, particularly, found it extremely beneficial as they gained a solid foundation in GStreamer. The experienced team members appreciated discovering new details and enhancing their understanding of GStreamer’s capabilities. While the focus was more on theory, the Rust code examples were also helpful in supporting our transition from C++ to Rust for building GStreamer plugins. Thanks to everyone involved in this!
Our AI-powered advertisement detection system provides fast, accurate, on-the-edge identification of ads in multimedia content, supporting multiple languages and formats through advanced audio fingerprinting and intelligent segmentation.
Our way to ultra-fast AI video processing, Fluendo AI Plugins. Discover more in this article.
Discover how Fluendo engineered a modular video streaming and recording platform with advanced configuration, metadata handling, and post-processing capabilities.
Fluendo was tasked with adding new features to a recasting and recording system that was developed for the client in a previous phase