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Context-sensitive sensors Industrial production and systems

Published: November 2025

Context-sensitive sensors encompass sensor systems that gather relevant information from their environment and interpret it meaningfully. This involves processing various sensor data (e.g., optical, acoustic, etc.) and augmenting it with AI-based systems to process, evaluate, and react to context-dependent environmental data in real time. The combination of different sensors enables in-depth environmental analysis and increases the safety and efficiency of the systems. The goal is to enable the most precise object navigation possible and adapted responses to changes in the environment.

Guiding questions

  • How can the accuracy and reliability of context-sensitive systems be improved in complex, dynamic environments?
  • What ethical implications arise from the comprehensive collection of environmental data by context-sensitive systems?
  • How can the social acceptance of context-sensitive technologies be promoted?
  • What new fields of application can be opened up through the further development of context-sensitive sensors?
  • How can context-sensitive systems be made resistant to manipulation and cyberattacks?
Image description: Oversized drone flies over an intersection in a busy street

challenges

The increasing volume of visual data and the speed of processing place high demands on real-time processing. Challenges include developing adaptive systems that efficiently adjust to new environments and improving reliability under changing lighting conditions and in complex environments. Ethical and data privacy issues, especially in applications such as facial recognition in public spaces, are becoming increasingly important. Furthermore, integrating image processing with other sensor data requires more comprehensive environmental analysis.

Concrete examples

  • Autonomous vehicles: Detection of obstacles, pedestrians and traffic signs
  • Analysis of medical images for the early detection of diseases
  • Industrial quality control, e.g., detection of defects in production lines
  • Facial recognition and motion analysis in surveillance cameras or communication situations
  • Video and handwriting recognition
Image description: Foresight – Thuringia, Blue Eye in focus

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Reference

Your contact persons

Reference

Michel Reichardt

Michel Reichardt Project Manager Strategic Foresight

Christoph Grollman

Christoph Grollman Project Manager Strategic Foresight

Dr. Sophia Gänßle

Dr. Sophia Gänßle Project Manager Data Science Strategic Foresight

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