From system to sensor: how vision sensors transform modern machine vision

AI: cameras & software

This video explains the evolution of machine vision systems from traditional PC‑based setups to compact, intelligent vision sensors. You’ll learn how vision systems work, why embedded vision has become a game‑changer, and how modern vision sensors like IDS NXT rio and rome simplify industrial image processing.

Carsten Traupe guides you through the technological shift towards highly integrated, SoC‑powered (SoC=System on a Chip) devices and shows how deep learning enhances flexibility and performance. The video also introduces the IDS NXT ocean ecosystem, a complete toolchain that enables efficient vision app development and cloud‑based neural network training.

Topics covered

  • Definition and structure of a machine vision system
  • Differences between PC‑based, embedded, and sensor‑based architectures
  • Advantages of compact vision sensors such as IDS NXT rio and rome
  • Role of deep learning in modern inspection tasks
  • Overview of the IDS NXT ocean toolchain, including cloud‑based training
  • How vision sensors reduce complexity and improve efficiency

Video timeline

  • 00:00 - Introduction & agenda
  • 01:40 - What is a vision system?
  • 02:45 - Traditional PC-based vision systems
  • 04:20 - Embedded vision
  • 06:01 - IDS NXT vision sensors: IDS NXT rio & IDS NXT rome
  • 08:31 - Use case from food inspection
  • 11:47 - IDS NXT ocean as a complete solution
  • 15:04 - Summary

Who should watch

Ideal for machine vision engineers, automation specialists, system integrators, and developers seeking a clearer understanding of modern vision architectures and the benefits of sensor‑based design.

Watch now to discover how compact vision sensors can streamline your inspection tasks.

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Speaker Carsten Traupe
Carsten Traupe

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