Guest: Heiko Wirtz, Co-Founder and CTO of ANTICIPATE

In this episode, Alex and Heiko from Anticipate dive into the role of AI and computer vision in modern manufacturing. They trace the journey from early image processing to today’s deep learning–powered quality inspection systems, discussing the challenges of integrating AI into legacy shop-floor environments and the opportunities this technology brings for scalability, accuracy, and reduced costs. The conversation also explores the balance between in-house development and external solutions, the hype around generative AI versus practical industrial applications, and strategies for getting started with computer vision projects in manufacturing.

The evolution of computer vision from traditional image processing to deep learning. How AI improves resilience and adaptability in quality inspection. The integration hurdles with legacy machines and protocols. Why ease of use is key for automation engineers and SMEs. The risks of overestimating DIY in-house AI projects. The gap between AI hype at C-level and real shop-floor needs. Practical advice for engineers: start small, use open-source tools, and show ROI quickly. How computer vision fits into the bigger IT/OT and AI landscape.

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Id. d’épisode : 1000722764698

GUID : e0fd9b51-100c-4930-86a4-980ace7cbc62

Date de publication : 20/8/2025 à 08:09:40