We have developed a robotic scanning workflow that uses a structured light camera to rapidly and accurately capture 3D data of irregular objects.
This workflow uses Zivid's 3D machine vision technology. It is adaptable and transferable across multiple robotic platforms, including ABB, UR, and KUKA.
It enables precise and efficient scanning of complex geometries to supports processes involving non-standard materials across wood milling, 3D printing, and other robotic applications.
Post-Processing Point Cloud Information
Beyond registration, we also perform segmentation to isolate relevant features, distinguish material regions, and prepare clean inputs for downstream robotic workflows.
Point cloud registration is a vital processes in computer vision, ensuring the accurate alignment of 3D data captured from different perspectives. We use open-source software and develop custom code tailored to each project’s needs, to ensure seamless integration of multiple scans, resulting in precise and comprehensive usable 3D data.