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Deep Learning with MVTec HALCON
Explore the power of deep learning with MVTec HALCON!
MVTec HALCON enables users to train their own CNNs (Convolutional Neural Networks) for machine vision applications. After training, these networks can be used to classify new image data. HALCON supports deep-learning-based image classification, object detection (with bounding accuracy) and semantic segmentation (i.e., the pixel-precise segmentation of object- or error classes.
Typical application areas where these deep learning technologies are 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: https://www.mvtec.com/services-solutions/technologies/deep-learning/
Learn more about HALCON here: https://www.mvtec.com/products/halcon/