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License Plate Anonymizer.
A localization and blurring algorithm that anonymizes license plates in real-time. Compliant with GDPR. Customizable parameters.
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.
Use cases.
Classify various vehicle makes and models using simple cameras.
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.
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.
