AI and cameras: "Customers have made a huge leap forward"
The acceptance of AI-based vision systems is steadily increasing
How do I integrate an intelligent industrial camera into my system? How do I optimize image data for training neural networks? And how good is the performance of embedded systems with AI accelerators? The questions asked at events such as InsightImaging or the inVISION Days reveal how much interest there is in artificial intelligence. Daniel Routschka, Sales Manager Artificial Intelligence at IDS, provides insights into topics and trends.
Daniel, you were recently a panellist at the inVISION Days. Which topics stood in the spotlight?
Currently, discussions are focusing heavily on actually integrating AI into applications - and doing so as simply as possible. The openness of users to the implementation of AI-based image processing systems is increasing, as is the knowledge of potential users.
To what extent does this coincide with your experience from customer contact?
Customer enquiries have become much more specific. In the past, initial contact was often about explaining the possibilities and strengths of AI. Today, we delve much deeper into the application. In addition to the technology, customers have also made a big leap forward.
Where do you see the strengths of IDS in relation to these developments?
We have an incredible wealth of experience in cameras, image processing and AI. As we have been actively involved in development of this technology for years, we have an excellent network and align our portfolio accordingly. With IDS NXT, we offer an AI-capable platform that is characterized above all by its user-friendliness. At the same time, with DENKnet we can also offer the right solution for very demanding applications. This makes us the "enabler" and AI partner for a wide variety of groups - from research, start-ups and SMEs to large corporations.
