Pick and place with HALCON: 2D and 3D vision for robust automation

This video provides a clear and practical introduction to using HALCON for pick-and-place applications in both 2D and 3D. You’ll learn how HALCON functions as a complete machine vision toolbox - from image acquisition and calibration to advanced matching and robotic integration - ensuring high accuracy and robust automation results. The presentation explains how HALCON supports a wide range of industrial vision tasks, including point cloud processing, object localisation, bin picking, and flexible surface-based matching. Through detailed HDevelop examples, the video demonstrates how to handle noisy scenes, detect objects with limited information, and optimise matching for complex scenarios. Whether you work with trays, conveyors or full 3D bin‑picking systems, this video shows how HALCON can streamline your workflow and improve reliability. Topics covered Understanding HALCON as a complete machine vision toolbox How 2D and 3D calibration and matching methods work in pick‑and‑place tasks Robust 2D object localisation using shape‑based matching Surface‑based matching, box finding and point cloud analysis in 3D Handling noisy scenes, symmetry issues and reduced 3D information Using HALCON for robot alignment, pose estimation and bin‑picking workflows Video timeline 00:00 - Introduction & agenda 02:35 - HALCON as a toolbox 03:47 - Applications 05:20 - Interfaces for communication 06:57 - Main use cases of vision-based robotic application 07:58 - Source code sample with hdevelop 10:32 - Requirements of random bin picking: hdevelop 20:35 - Guide autonomous vehicle based on data codes 23:11 - Q&A Who should watch This video is ideal for machine vision engineers, automation developers, robotics integrators and anyone implementing pick‑and‑place, bin‑picking or advanced 3D vision solutions using HALCON. Watch now at our Vision Channel to discover how HALCON can make your pick‑and‑place workflows more accurate, flexible and efficient: https://en.ids-imaging.com/visionchan...