Deep Learning
Deals with highly complex tasks, including defect detection, classification and OCR (optical character recognition) for use in industrial quality assurance and production.
For quality without compromise
Deep learning is used wherever conventional image processing is technically impossible or too complex. Deep learning or edge learning technologies are able to recognise deviations, differentiate classes and evaluate characters based on patterns that have been demonstrated and learned.
Amazingly easy to implement
A neural network is created from different image sets (hundreds to thousands of images). The computer-aided model enables large volumes of images to be analysed quickly and efficiently in order to detect variable patterns or anomalies. Tasks that would be very difficult to solve with conventional image processing are often surprisingly easy to implement with deep learning or edge learning without in-depth specialist knowledge.
Synergies for maximum performance
aerne engineering has extensive expertise in the combination of different image processing components and has already realised numerous successful vision applications. We use rule-based tools, e.g., for pattern searches, while deep learning or edge learning components are used for error analysis. Our vision solutions are designed to cover virtually all requirements.