HALCON 21.11
One highlight of HALCON 21.11 is the addition of instance segmentation technology to the range of deep learning functions. This technology combines the benefits of semantic segmentation with those of object detection and enables the pixel-precise assignment of objects to different classes. It is particularly useful in applications where objects are very close together, touch each other, or overlap. This is the case, for example, when gripping randomly arranged objects from bins ("random bin picking") and when identifying and measuring naturally grown structures, such as organic material.