Case Study: TU Berlin achieves GDPR-compliant anonymized traffic insights with Genetec's KiwiVision

TU Berlin - Customer Case Study

TU Berlin’s Distributed Artificial Intelligence Laboratory (DAI) led the “Smart City Berlin” initiative to digitize road environments around Ernst-Reuther-Place and Straße des 17. Juni, but faced a core challenge: collecting the precise, per-road-user data needed for traffic modeling while complying with the German Data Protection Act and GDPR. To meet this need they selected Genetec’s KiwiVision analytics (implemented with partner GRAEF Gruppe) to capture and categorize traffic without infringing personal privacy.

Genetec’s KiwiVision anonymizes and classifies vehicles and pedestrians in real time—representing road users as symbols rather than storing identifiable video—so data can be fed into TU Berlin’s IoT middleware for AI-driven simulations and traffic management. The solution delivered GDPR-compliant, weather-robust counts and movement data (enabling full simulation of Ernst-Reuther-Place, parking-availability and signal-timing predictions), supported future 5G/autonomous-driving trials, and leverages Genetec technologies such as Privacy Protector and Security Center to secure and certify privacy-protecting workflows.

TU Berlin

Sahin Albayrak

Chief Executive Officer