Face Anonymizer.

Face Anonymizer removes identifying features in real-time, customizable according to project needs and local legislation. Ideal for GDPR compliance.

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PERFORMANCE

Optimized for edge performance with a low power profile.

PERSPECTIVE

Ground-to-ground.

CONDITIONS

Dawn to dusk and artificial lighting.

ENVIRONMENT

Environmentally-agnostic performance.

ARCHITECTURE

Backbone: Resnet-101; Detector: RefineDet.

FUNCTIONALITY

Detection.

INPUT SIZE

512x512.

SENSOR MODALITY

Visible light.

Use cases.

Anonymize video feeds with real-time face blurring.

GRPR compliance

Ensure your machine learning application complies with GDPR legislation in real-time. The Face Anonymizer algorithm has a low power profile, making it simple to add to existing computing resources.

Child privacy

This algorithm employs CVEDIA's synthetic technology to effectively anonymize children in live footage, making it possible to customize anonymization parameters in order to specifically blur faces resembling minors.

Our services.

We offer maintenance services for our AI models and provide the option to add fine grain classification or additional classes through our in-house team. Our models are built with proprietary synthetic data technology, allowing for quick integration of new classes.

Maintenance

Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep.

Fine classification

Discuss fine grain classification with our team and get an answer today. We'll work with you to build a synthetic-based model to meet your specifications.

Additional classes

Our models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.