Therefore, HALCON 22.11 includes a new encryption mechanism for HALCON data types. A large part of the effort of deep learning applications is in collecting the data and training the models. The special aspect regarding this technology is that compared to traditional methods, the quality depends not only on the algorithm itself but also significantly on the quality of the training data. This is particularly relevant in the field of deep learning. Protection of Trained Deep Learning Modelsįor machine vision applications, the protection of intellectual property is getting more and more important. This increases the software’s compatibility with machine communication protocols, such as OPC UA or image acquisition interfaces. This increased flexibility opens up completely new application fields, such as those in the logistics industry or warehouses.Īs of HALCON 22.11, users can store and transfer binary data (e.g., images) in HALCON as well as further process it with other applications. In contrast to classic bin-picking applications, the 3D Gripping Point Detection is a CAD-less approach, hence no prior knowledge of the respective objects is required. The 3D Gripping Point Detection can be used to robustly detect surfaces on any object that is suitable for gripping with suction.
HALCON 22.11 combines 3D vision and deep learning for the first time. Major New Features of HALCON 22.11.0.0 Progress Release Notes of Previous HALCON Versions.
Major New Features of HALCON 22.11.0.0 Progress.
0 kommentar(er)
