How-to choose the right Ensenso for your 3D application

How-to | 3D vision and robotics

Discover how to select the ideal Ensenso B camera for your 3D vision projects. This video explains the key differences between monochrome and colour models, their impact on accuracy, and how to combine 3D data with colour images effectively.

You’ll learn why working distance, image quality, and environmental lighting conditions matter when choosing a camera. We also cover performance considerations such as frame rates and stereo matching, plus practical tips for integrating colour information into your workflow.

Topics covered

  • Differences between monochrome and colour Ensenso B57 cameras
  • Impact of bandpass filters on image quality and accuracy
  • Recommended working distances for colour and monochrome models
  • Frame rate variations and stereo matching performance
  • Combining 3D data with colour images using point maps
  • When to choose Ensenso C or add a separate colour camera

Video timeline

  • 00:00 - Introduction
  • 00:36 - Colour versus mono sensor
  • 01:12 - Image quality: projector pattern
  • 01:54 - Data quality: Z-accuracy
  • 03:13 - Working distance
  • 03:47 - Camera performance
  • 04:51 - Application note: differences between colour and mono cameras
  • 06:06 - Render Point Map: Ensenso 3D camera C57
  • 07:13 - Compute Point Map: Ensenso 3D camera B57
  • 07:44 - Workflow: coloured 3D
  • 08:33 - Summary: choose the right Ensenso B57 camera
  • 10:06 - Conclusion

Who should watch

This video is ideal for machine vision engineers, system integrators, and developers working on 3D applications who need guidance on selecting the right Ensenso camera for their specific requirements.

Watch now to make an informed choice for your 3D vision setup.

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Further information
Contact
Speaker Ute Seitz
Ute Seitz
Machine Vision Specialist

IDS Imaging Development Systems GmbH

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