The new generation of 3D sensors has brought about a significant increase in the use of 3D image processing systems in manufacturing. Fast acquisition times of dense measuring points below one second are now easily achieved with the 3D sensors on today’s market. This opens up new fields of application, both in 3D measurement and testing technology for quality assurance as well as for 3D object recognition for implementing automated solutions. Besides appropriate sensor systems, fast and intelligent 3D data analysis techniques are needed in order to implement industrial applications. We offer a wide range of algorithms for this. This includes various fit algorithms and automated segmentation methods, which are particularly suitable for point cloud processing. Calibration procedures that enable the versatile use of new sensor technologies are also available, e.g. time-of-flight sensor systems or 3D smart cameras.
We are increasingly using machine learning and artificial intelligence in new developments for 3D image and data analysis.
A core area of 3D image processing is object recognition:
3D object recognition is a key success factor when it comes to implementing automation solutions for handling parts or creating a digital twin of a manufacturing environment. In addition to appropriate sensors for optical data acquisition, fast and intelligent object recognition methods are required above all to implement robust industrial applications. In this field, we offer a wide range of classical and AI-based methods.