Easy to use 3D vision for education and research

  • ACRO research group, KU Leuven

    Research group ACRO at KU Leuven utilizes Pickit in three ways. The first is research that explores new applications. The second is the consultancy to companies and feasibility studies for the industry. And the third one is training the students with hands-on experience on 3D vision guided robotics. ACRO has many years of experience in the research domains of automation, computer vision, and robotics. Their vision system of choice is Pickit. Find out why in this video.

    Watch the video


Camera technical specifications

  • 3D measurement method

    Structured light
  • 3D image capturing time

    300 ms
  • 3D camera resolution (pixels)

  • 3D camera precision (mm)*

    0.6 - 1.6 mm
  • 3D camera accuracy (%)

    < 1.2%
  • 3D camera accuracy (mm)**

    2 - 6 mm
  • Estimated picking accuracy***

    1.5 - 2 x 3D camera accuracy
  • 3D camera weight

    1030 g
  • 3D camera connection to PC

    M12-8 (USB) - USB3
  • PC connection to robot

    TCP/IP over Ethernet

* A larger distance from the camera has lower 3D camera precision.

** A larger FOV has lower 3D camera accuracy

*** Average accuracy from the real production environment

Camera field of view

Camera field of view diagram


Our products come with the latest Pickit 3D vision software, all setup and ready to go. Want to learn what else Pickit can pick? Discover all features of the latest software update on our Knowledge Base.

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Looking for a price, production references, or have questions? Please contact us for more information on our vision systems.

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