Fluendo AI Plugins v1.0.4: The power of real-time AI anonymization
fluendo-ai-plugins, anonymizerReal-time AI video anonymization for 4K high-resolution content.
Anonymizer
Real-time AI pixelation for edge-based multimedia applications
Anonymizer is a high-performance AI plugin designed to detect and mask multiple targets (faces, car plates, ID cards, etc.) in real time. Built for privacy-critical environments, it ensures GDPR compliance without sending data to the cloud.
VALUE PROPOSITION
We deliver real-time privacy protection with precision AI at the edge
HIGH-QUALITY MULTIPURPOSE DETECTION
Anonymizer delivers robust short and long-range target detection, ensuring reliable results across a wide range of camera angles and resolutions.
SIMPLE REGULATORY PRIVACY COMPLIANCE
With built-in pixelation and automated anonymization, it helps meet GDPR and other privacy regulations effortlessly.
INNOVATIVE REAL-TIME EDGE PERFORMANCE
Designed for low-latency environments, it processes video in real time on edge devices without compromising on quality or speed.
HIGH-QUALITY MULTIPURPOSE DETECTION
Anonymizer delivers robust short and long-range target detection, ensuring reliable results across a wide range of camera angles and resolutions.
SIMPLE REGULATORY PRIVACY COMPLIANCE
With built-in pixelation and automated anonymization, it helps meet GDPR and other privacy regulations effortlessly.
INNOVATIVE REAL-TIME EDGE PERFORMANCE
Designed for low-latency environments, it processes video in real time on edge devices without compromising on quality or speed.
Protect privacy with real-time, intelligent multi-target anonymization
Our anonymizer plugin delivers high-performance object detection and pixelation in real-time, empowering developers, broadcasters, and system integrators to meet data privacy requirements without relying on cloud services or external libraries.
Built on a robust GStreamer pipeline, the plugin seamlessly integrates into multimedia workflows and enables on-device anonymization of faces, license plates, ID badges, tattoos, documents, and more. It ensures accurate, frame-level processing across a wide range of input sources: from low-resolution CCTV feeds to high-definition video streams.
With configurable presets, flexible deployment options (edge, local, or centralized), and zero manual post-processing required, our anonymizer is ideal for privacy-first video processing in industries such as surveillance, healthcare, education, transportation, and government sectors.
Protect privacy with real-time, intelligent multi-target anonymization
Our anonymizer plugin delivers high-performance object detection and pixelation in real-time, empowering developers, broadcasters, and system integrators to meet data privacy requirements without relying on cloud services or external libraries.
Built on a robust GStreamer pipeline, the plugin seamlessly integrates into multimedia workflows and enables on-device anonymization of faces, license plates, ID badges, tattoos, documents, and more. It ensures accurate, frame-level processing across a wide range of input sources: from low-resolution CCTV feeds to high-definition video streams.
With configurable presets, flexible deployment options (edge, local, or centralized), and zero manual post-processing required, our anonymizer is ideal for privacy-first video processing in industries such as surveillance, healthcare, education, transportation, and government sectors.
FEATURES
Fast, seamless multi-target anonymization
Cross-platform compatibilty
Built on our in-premise accelerated Raven-AI-Engine, our plugin delivers high-performance inference across platforms. It runs efficiently on AMD, Intel, and NVIDIA GPUs, automatically selecting the best available hardware.
Cross-platform compatibilty
Built on our in-premise accelerated Raven-AI-Engine, our plugin delivers high-performance inference across platforms. It runs efficiently on AMD, Intel, and NVIDIA GPUs, automatically selecting the best available hardware.
GStreamer integration
Anonymizer is a plug-and-play module for GStreamer, enabling effortless integration into existing multimedia pipelines. With native support and no need for extra middleware, it delivers advanced face anonymization in minutes, without changing your architecture. Accelerate development while keeping full control over your video workflow.
GStreamer integration
Anonymizer is a plug-and-play module for GStreamer, enabling effortless integration into existing multimedia pipelines. With native support and no need for extra middleware, it delivers advanced face anonymization in minutes, without changing your architecture. Accelerate development while keeping full control over your video workflow.
Real-time performance on the edge
Anonymizer delivers ultra-fast, real-time anonymization through a fully GPU-driven, graph-parallel architecture. Reaching up to around 500 fps at 4K resolution on nominal GPUs, it ensures low-latency, high-precision anonymization across diverse camera feeds and hardware setups, from high-end systems to edge devices.
Real-time performance on the edge
Anonymizer delivers ultra-fast, real-time anonymization through a fully GPU-driven, graph-parallel architecture. Reaching up to around 500 fps at 4K resolution on nominal GPUs, it ensures low-latency, high-precision anonymization across diverse camera feeds and hardware setups, from high-end systems to edge devices.
our use cases
Concepts with real-world potential
These use cases present conceptual examples of how our ideas and technologies could address real-world industry challenges.
Anonymization In Healthcare | AI Video Use Case
The healthcare industry increasingly relies on video data for clinical workflows, remote diagnostics, surgical training, patient monitoring, and AI-driven analytics, yet this raises privacy and compliance challenges under HIPAA (The Health Insurance Portability and Accountability Act) and GDPR (General Data Protection Regulation). Hospitals and research institutions need an automated anonymization system to remove or obscure identifiable visual data, such as faces, tattoos, and ID badges, while preserving clinical context.
Advances in AI and GStreamer-based multimedia processing enable real-time and batch anonymization pipelines that protect patient identity without compromising data usability.
Anonymization in surveillance | AI video Use Case
The surveillance industry secures public spaces, infrastructure, transport, and private property, but high-resolution, continuous monitoring raises privacy concerns and legal challenges under regulations like GDPR (General Data Protection Regulation). To meet these demands, organizations need real-time video anonymization that obscures identifiable features (e.g., faces) while maintaining video utility for security and analytics.
AI and computer vision now make it possible to anonymize individuals either at the edge or during post-processing, supporting legal and ethical surveillance practices.
Anonymization in content creation | AI video Use Case
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.
Anonymization in government | AI video Use Case
Government agencies and public institutions often record video in highly sensitive environments—courtrooms with protected witnesses, bodycams on public servants, and borders or service counters where passports and ID cards are shown.
Unintentional exposure of identities or confidential documents can incur legal, operational, and safety risks under regulations such as the GDPR (General Data Protection Regulation) and internal confidentiality protocols. An AI-powered anonymization system automatically detects and obscures faces and sensitive documents in live or recorded streams. This ensures footage remains useful for legal review, security, and communication without compromising privacy.
AI and computer vision now make it possible to anonymize individuals either at the edge or during post-processing, supporting individual privacy or operational integrity.
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Real-time 4K face anonymization benchmark (GStreamer plugin)
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Face Anonymization with GStreamer
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