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.
Concepts with real-world potential
These use cases showcase the ideas, technologies, and approaches we’ve developed to solve real industry challenges.Use Cases
Automated Video Anonymization for Privacy-Compliant Surveillance
AI-Powered Video Anonymization for Privacy-Safe Content Creation
AI-Based Video Anonymization for Government and Institutional Privacy Protection
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.Blog
Read more about our work
broadcasting, video-surveillance, automotive, multimedia-edge-ai, gstreamer, events, fluendo-ai-plugins, anonymizer, raven
Face Anonymization with GStreamer
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