From vision to cognition – why sensory technology is the forgotten key to AI
Discover why sensor technology is the forgotten key to reliable AI (Artificial Intelligence) in this insightful keynote 'From vision to cognition'. Learn how intelligent cameras and edge processing enable deterministic, real-time decisions for industrial applications - solving the reproducibility challenges that generative AI cannot.
This video explains why smarter sensors, not bigger language models, are essential for building trustworthy AI systems. You’ll explore practical examples of vision AI in quality control, robotics, and process optimisation, and understand how high-quality image capture combined with edge AI creates robust, cost-effective solutions.
Topics covered
- Why reproducibility matters for industrial AI
- The three pillars of vision AI: accuracy, speed, and reliability
- Intelligent cameras and edge processing for real-time decisions
- Comparison of generative AI versus vision AI in production environments
- Practical applications in quality control, robotics, and safety systems
- How sensor technology builds world models for physical understanding
Video timeline
- 00:00 - Introduction and challenges of AI
- 02:50 - The perception paradox
- 03:48 - Challenges of AI in industry
- 04:28 - From shallow to deep perception
- 05:48 - The reproducibility crisis in AI
- 07:23 - Vision AI versus generative AI
- 08:14 - From research to reliability
- 09:07 - Architecture of intelligent camera systems
- 11:03 - The irreplaceable role of perception
- 15:49 - AI-based applications in practice
- 17:24 - Conclusion and Q&A
Who should watch
This keynote is ideal for AI developers, vision engineers, automation specialists, and decision-makers in manufacturing who want to understand how intelligent sensors and cameras can make AI reliable, fast, and cost-effective.
Watch now to learn why better eyes - not bigger brains - are the future of AI.
