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.
Conceptual Design
Looking to blur faces on security cameras? Here’s how we do it
Anonymizer is a Fluendo AI Plugin which integrates in existing CCTV or IP camera networks at the edge (on-site devices or local servers) or in a centralized processing unit via GStreamer. This component automatically detects and anonymizes all faces in the video stream without human intervention.
In a centralized setup, anonymized video is streamed in real time for monitoring, while raw footage is securely stored locally. This dual-mode approach ensures privacy compliance during daily operations while preserving full-resolution evidence for authorized legal or audit use.
Additionally, the system can act as a real-time middleware, offering three simultaneous modes: streaming anonymized video, streaming non-anonymized video, and storing both versions in parallel. This flexible architecture adapts to diverse operational and regulatory needs.
Conceptual Design
Looking to blur faces on security cameras? Here’s how we do it
Anonymizer is a Fluendo AI Plugin which integrates in existing CCTV or IP camera networks at the edge (on-site devices or local servers) or in a centralized processing unit via GStreamer. This component automatically detects and anonymizes all faces in the video stream without human intervention.
In a centralized setup, anonymized video is streamed in real time for monitoring, while raw footage is securely stored locally. This dual-mode approach ensures privacy compliance during daily operations while preserving full-resolution evidence for authorized legal or audit use.
Additionally, the system can act as a real-time middleware, offering three simultaneous modes: streaming anonymized video, streaming non-anonymized video, and storing both versions in parallel. This flexible architecture adapts to diverse operational and regulatory needs.
The value we deliver: How we boost your business
Regulatory compliance
Supports GDPR, and similar laws by anonymizing identifiable data before storage or analysis.
Reduced effort
Instantly anonymize scenes without manual editing, saving your team from the burden of blurring or cutting footage before sharing.
Risk reduction and data control through on-premise anonymization
All footage is processed and stored locally, keeping sensitive content under your control. No need to send data to the cloud for anonymization — ensuring compliance and minimizing external exposure.
Regulatory compliance
Supports GDPR, and similar laws by anonymizing identifiable data before storage or analysis.
Reduced effort
Instantly anonymize scenes without manual editing, saving your team from the burden of blurring or cutting footage before sharing.
Risk reduction and data control through on-premise anonymization
All footage is processed and stored locally, keeping sensitive content under your control. No need to send data to the cloud for anonymization — ensuring compliance and minimizing external exposure.