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.
In retail, logistics, and critical infrastructure security sectors, detecting suspicious or abnormal behavior quickly is essential for preventing losses and mitigating risks A common risk scenario is when individuals loiter or linger in restricted or high-value areas (e.g., product aisles, exits, stockrooms, or sensitive perimeters) beyond normal …
Enterprises adopting Desktop-as-a-Service (DaaS) solutions to support hybrid or remote workforces often face fragmented corporate branding during employee video conferencing. Because employees connect from virtual desktops and diverse applications, ensuring consistent branded backgrounds across all sessions becomes difficult. This inconsistency …
Businesses are unable to deploy graphically-intensive applications like CAD, medical imaging, or video editing via DaaS to remote workers on consumer-grade internet. Traditionally, supporting these premium use cases requires high-cost infrastructure: dedicated high-bandwidth network connections for each user and powerful, expensive server-side GPUs …
DaaS & VDI administrators currently lack a reliable, non-intrusive way to measure real-time video quality perceived by users. Traditional reference-based metrics (e.g., VMAF, PSNR, SSIM) require an original source stream that is unavailable in most production desktops, making live monitoring impractical. Subjective methods (e.g., MOS following …
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.