The Face Anonymizer is a facial blurring algorithm designed to consistently remove identifying features. It can be used in real-time, ensuring absolute compliance with GDPR regulation, or on video footage before public release. The algorithms parameters are easily customizable according to project needs and local legislation.
Optimized for edge performance with a low power profile.
Dawn to dusk and artificial lighting.
Environmentally agnostic performance.
Backbone: Resnet-101; Detector: RefineDet.
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.
CVEDIA models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.
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.
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.