How active stereo vision works with Ensenso cameras

3D vision and robotics

Learn how active stereo vision technology powers Ensenso cameras to deliver accurate 3D imaging for industrial applications. This video explains the fundamentals of 3D vision, the principles of stereo vision, and why active stereo vision outperforms passive systems in challenging environments.

You’ll discover how matching algorithms, image rectification, and FlexView technology improve depth map quality and point cloud accuracy. Whether you’re working on robotics, bin picking, or quality inspection, this guide provides practical insights to optimise your Ensenso camera settings for the best results.

Topics covered

  • What 3D imaging is and how it differs from 2D
  • How stereo vision works and its key parameters
  • Matching algorithms and epipolar geometry explained
  • Image rectification for precise depth calculation
  • FlexView technology for improved point cloud quality
  • Calibration tips for long-term accuracy

Video timeline

  • 00:00 - Introduction
  • 00:30 - What is 3D?
  • 03:16 - Stereo vision
  • 09:30 - Matching algorithm
  • 12:32 - Rectification
  • 15:10 - FlexView
  • 17:17 - NxView Matching & FlexView
  • 22:22 - Frame time
  • 28:26 - Calibration
  • 31:25 - Conclusion

Who should watch

Ideal for vision engineers, robotics developers, and system integrators seeking to implement accurate 3D vision solutions for industrial automation and inspection.

Watch now to master active stereo vision with Ensenso cameras.

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Further information
Contact
Speaker Boris Douché
Boris Duché
Senior Manager Strategic Business Development

IDS Imaging Development Systems GmbH

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