Deep Learning extends the power of machine vision
Artificial intelligence and specifically deep learning is getting more and more powerful. Deep learning solutions can serve very specific requirements.
- Image classification
- OBJECT DETECTION
- ANOMALY DETECTION
- EDGE EXTRACTION
- INSTANCE SEGMENTATION
- DEEP OCR
In machine vision, deep learning enables an increasing number of applications that weren’t possible before. Moreover, the performance of existing applications can be significantly improved. Especially in the field of data classification, deep learning is a very efficient technology. Many industries and sectors are already benefiting from the new opportunities, such as agriculture, mechanical engineering, pharmaceuticals, logistics, etc.
MVTec software products offer a large selection of operators, functions and methods that either are based on deep learning technologies or allow customers to use deep learning technologies in their own applications.
Learn more about deep learning methods, the differences to classic machine vision and how to start with deep learning.
Deep learning takes data classification to the next level
The machine vision software products from MVTec come with pre-trained CNNs (Convolutional Neural Networks), that allow applications to be developed with a relatively small number of training images. By using these networks, users can train their own classifier to classify new data. Provided with a sufficient amount of images, the training process automatically extracts each class’ distinct features. HALCON and MERLIC then analyze these images and automatically learn which features can be used to identify the given classes.
Deep learning methods in MVTec products
Deep learning is a powerful technology that complements MVTec’s comprehensive machine vision toolkit. Customers can develop holistic applications using deep learning in combination with conventional machine vision.