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.
Anonymizer delivers robust short and long-range target detection, ensuring reliable results across a wide range of camera angles and resolutions.
With built-in pixelation and automated anonymization, it helps meet GDPR and other privacy regulations effortlessly.
Designed for low-latency environments, it processes video in real time on edge devices without compromising on quality or speed.
Anonymizer delivers robust short and long-range target detection, ensuring reliable results across a wide range of camera angles and resolutions.
With built-in pixelation and automated anonymization, it helps meet GDPR and other privacy regulations effortlessly.
Designed for low-latency environments, it processes video in real time on edge devices without compromising on quality or speed.
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.
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.
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.
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.
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.
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.
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.
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.
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 …
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 …
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 …
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 …
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Real-time AI video anonymization for 4K high-resolution content.
Performance benchmark analysis of real-time 4K AI video anonymization.
Effortless, automated face anonymization for real-time video handling.