Game changing AI vision with IDS NXT for robotics and automation
Discover how IDS NXT cameras simplify AI-based image processing for industrial applications and robotics. In this interview, Marco from the University of Applied Sciences Kempten shares insights from a fascinating project where robots play the classic board game mill using IDS NXT technology.
Learn why IDS NXT is a game changer for engineers and integrators: no additional computing resources required, intuitive vision apps, and seamless integration with PLCs. This video explains the challenges of implementing AI vision, how IDS NXT overcomes them, and why ease of use matters for real-world automation projects.
Topics covered
- How IDS NXT reduces barriers to AI vision integration
- Key benefits of onboard image processing without extra hardware
- Practical use case: robots playing mill with AI vision
- Vision apps for detection and classification with near 100% accuracy
- Integration via OPC UA and intuitive app-based approach
- Lessons learned for camera positioning and lighting in AI projects
Video timeline
- 00:00 - Introduction of the topic
- 01:26 - Introduction of the project
- 02:13 - Project idea
- 03:40 - Project challenges
- 04:57 - Project task and requirements
- 05:57 - Requirements of the IDS camera
- 06:36 - Why the IDS camera was easy to use?
- 07:31 - How does the IDS camera communicate withe the project environment?
- 08:09 - App approach of the IDS camera
- 09:10 - Differences by working with AI-based image processing
- 10:24 - Advantages of AI evaluation
- 11:06 - Block-based editor: code reading function & multi-step image evaluation
- 12:26 - Conclusion
Who should watch
This video is perfect for automation engineers, robotics developers, and machine vision specialists looking for easy-to-use AI vision solutions. It’s also valuable for anyone exploring industrial applications of artificial intelligence.
Watch now to see how IDS NXT transforms AI vision integration.