With HALCON, MVTec enables users to train their own CNNs (Convolutional Neural Networks) for machine vision applications, like classification, object detection, and segmentation.
After the training, these networks can be used to classify new image data with HALCON. The software analyzes the images and automatically learns which features can be used to identify the given classes.
Typical application areas where this deep learning technology is useful are, e.g., defect detection (e.g., for circuit boards, bottle mouths, or pills), object classification (for example, identifying the species of a plant from one single image) or object counting (e.g., verifying if a customer order has been picked and placed correctly).
Learn more about deep learning with HALCON here.