Presenting: Hafnia Tech Talks #2 Protecting Identities in Public Spaces 

Computer vision didn't need to know your name to be useful. In this Tech Talk, we sat down with 

to explore how Deep Natural Anonymization strips faces and number plates from video while preserving everything that makes the footage valuable for safety, analytics, and AI training.
 
We dug into the questions this topic raises: what GDPR-compliant computer vision looks like when privacy is built into the design rather than added as an afterthought, how anonymization changes the trust equation between cities, companies, and the public, and what happens when consent is built into a system from the start instead of bolted on after the backlash.
 
Whether you're wrestling with how to deploy computer vision responsibly or trying to work out where you stand on the trade-off between utility and privacy, this session offered valuable insights and practical perspectives.

This is an interactive session moderated by out Community and Partnerships Lead, Roland Harwood.

 to learn how privacy-preserving computer vision can unlock innovation while maintaining public trust.

Tech Talk: Protecting Identities in Public Spaces

Presenting: Hafnia Tech Talks #1 Scaling Computer Vision Across Cities, with NVIDIA 

Most computer vision models work in controlled environments. Very few work reliably across different cameras, locations, and real-world conditions. 

In this first Hafnia Tech Talks – a new series by 

, on vision-language models and video analytics AI agents — and how they’re helping developers move from development to deployment of computer vision solutions in complex city environments. 

The gap between what AI can do in the lab and what cities need in the field 

The challenges of scaling across real environments (different cameras, data quality, conditions) – and how developers are solving them 

A look at NVIDIA's agentic blueprints and models, via Hafnia, and how developers can use them to build for city-scale complexity 

Where the real value lies – moving beyond detection to decisions that improve operations, safety, mobility, and services.

This is an interactive session moderated by our Community Lead, 

. Please bring your questions for Katja and join the discussion. 

⚠️ Please note that live attendance is limited to 350 participants, first come, first served. 

👉 Register now to join us and/or to get access to the recording. 

Tech Talk: Scaling Computer Vision Across Cities

A collection of Hafnia Tech Talks exploring the future of computer vision and responsible AI.

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