Powered by our Raven AI Engine, Fluendo AI Plugins offer cross-platform and production-ready solutions optimized for Edge AI that can be used across a wide range of devices and platforms, from desktop PCs to embedded systems.
Easily integrate advanced AI features into existing GStreamer workflows without requiring extensive reconfiguration or disrupting established processes, enabling users to enhance their multimedia content effortlessly.
Run AI solutions efficiently on-device, reducing latency and maximizing resource usage for applications requiring real-time performance in resource-constrained environments like IoT and autonomous systems or offline processing in multimedia applications.
Deploy AI solutions across different hardware environments without worrying about your GPU/CPU/NPU configurations. Our plugins ensure orthogonal and optimal runtime performance in multiple adapters (NVIDIA, AMD, Intel, …)
Easily integrate advanced AI features into existing GStreamer workflows without requiring extensive reconfiguration or disrupting established processes, enabling users to enhance their multimedia content effortlessly.
Run AI solutions efficiently on-device, reducing latency and maximizing resource usage for applications requiring real-time performance in resource-constrained environments like IoT and autonomous systems or offline processing in multimedia applications.
Deploy AI solutions across different hardware environments without worrying about your GPU/CPU/NPU configurations. Our plugins ensure orthogonal and optimal runtime performance in multiple adapters (NVIDIA, AMD, Intel, …)
Each plugin comes pre-configured to handle AI tasks, requiring no AI expertise. The plugins built on Fluendo’s proprietary Raven AI Engine offer seamless integration with GStreamer.
Our system delivers high-performance solutions that work efficiently, even on low-power edge devices. Fluendo AI Plugins empower businesses to transform their video content workflows by improving processing speed, accuracy, and quality across a range of applications.
Each plugin comes pre-configured to handle AI tasks, requiring no AI expertise. The plugins built on Fluendo’s proprietary Raven AI Engine offer seamless integration with GStreamer.
Our system delivers high-performance solutions that work efficiently, even on low-power edge devices. Fluendo AI Plugins empower businesses to transform their video content workflows by improving processing speed, accuracy, and quality across a range of applications.
This plugin enables real-time background subtraction from webcam feeds, seamlessly integrating the resulting video into desktop presentations or virtual environments. It is ideal for video conferencing, live streaming, and content creation.
This plugin enables real-time background subtraction from webcam feeds, seamlessly integrating the resulting video into desktop presentations or virtual environments. It is ideal for video conferencing, live streaming, and content creation.
This plugin applies advanced multi-target detection and tracking algorithms to blur multiple objects, preserving privacy and confidentiality. Particularly valuable for video surveillance, public safety, and video-sharing platforms. Read more about our Anonymizer.
This plugin applies advanced multi-target detection and tracking algorithms to blur multiple objects, preserving privacy and confidentiality. Particularly valuable for video surveillance, public safety, and video-sharing platforms. Read more about our Anonymizer.
This plugin employs a Generative Adversarial Network (GAN) to upscale video and image resolutions by 4x, enhancing the quality of low-resolution content. This is crucial for media restoration, video streaming, and any image clarity applications.
This plugin employs a Generative Adversarial Network (GAN) to upscale video and image resolutions by 4x, enhancing the quality of low-resolution content. This is crucial for media restoration, video streaming, and any image clarity applications.
Our standalone AI plugins are designed to work independently or as part of a larger video processing pipeline, giving you the flexibility to integrate only the features your project requires.
Concepts with real-world potential
These use cases showcase the ideas, technologies, and approaches we’ve developed to solve real industry challenges.
Historic sports footage represents a valuable asset for broadcasters, clubs, sports federations, and media archives. However, many classic matches were recorded in low resolutions, analog formats, or early digital standards, resulting in blurry visuals, limited detail, and reduced viewing quality on modern displays. Manually restoring and enhancing …
Youth and academy sports organizations increasingly record matches and training sessions for performance analysis, coaching review, and player development. However, these recordings often include minors, spectators, and staff members, creating important privacy and regulatory challenges, particularly under frameworks such as GDPR and child …
Sports clubs and academies increasingly produce live video streams, interviews, commentary shows, and behind-the-scenes content for digital platforms and social media. These broadcasts often take place in training grounds, stadiums, or mixed media areas, where children, staff members, and spectators may appear in the background. This creates …
Sports clubs, broadcasters, and analytics teams increasingly rely on data-driven insights to understand player performance, tactical behavior, and match dynamics. Traditionally, these metrics are collected using dedicated tracking systems or manual annotation workflows, which can be costly, complex to deploy, and difficult to integrate into …
Bits & Bytes
Explore our blog, one byte at a time. Our team unpack our latest news, industry insights and in-depth articles to connect you with the multimedia world.
Redefining real-time AI inference with Raven's GPU-driven architecture.
Efficient bounding box post-processing using GPU-native NMS-Raster.
Real-time AI video anonymization for 4K high-resolution content.
Performance benchmark analysis of real-time 4K AI video anonymization.