City-Scale Spatiotemporal Digital Twins with Zero Facial/License Ingestion
Pure RF radar point clouds extract bounding boxes, kinematic velocities, and pedestrian trajectories without ever recording optical pixels, ensuring total GDPR privacy compliance.
Physical Dimension Semantic Tagging
Deep neural classifiers categorize entities into pedestrians, bicycles, passenger sedans, or articulated buses solely from their radar cross section (RCS) and Doppler profiles.
- Zero personally identifiable optical imaging captured or stored in municipal databases.
- 100% compliance with strict international GDPR and privacy mandates.
- Real-time updates delivered at 50 FPS to municipal smart city traffic centers.
- Permanent immunity to optical hacking or facial recognition controversies.
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