License Plate Anonymizer


The License Plate Anonymizer is a localization and blurring algorithm designed to consistently anonymize vehicle license plates. This algorithm can be used in real-time, ensuring absolute compliance with GDPR regulation, or on video footage before public release. The License Plate Anonymizer parameters are easily customizable according to project needs and local legislation.





PERFORMANCE

Optimized for edge performance with a low power profile.

PERSPECTIVE

Ground-to-ground.

CONDITIONS

Dawn to dusk and artificial lightning.

ENVIRONMENT

Environmentally agnostic performance.

ARCHITECTURE

Backbone: Resnet-101; Detector: RefineDet.

FUNCTIONALITY

Detection.

INPUT SIZE

512x512.

SENSOR MODALITY

Visible light.



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Our services


  • MAINTENANCE

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


  • FINE GRAIN CLASSIFICATION

Speak to our team to discuss model classification as a service add on or as a separate model. CVEDIA’s in-house team will work with you to define your requirements, and build a synthetic-based model incorporating your classification specifications.


  • ADDITIONAL CLASSES

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

Use cases


  • GDPR COMPLIANCE

Ensure your machine learning application complies with GDPR legislation in real-time. The License Plate Anonymizer has a low power profile, making it simple to add to existing computing resources on intersection cameras, security systems, and vehicles.