Deep Learning for Factory Automation
From the phones in our pockets to the reality of self-driving cars, the consumer economy has started to tap into the power of deep learning’s neural networks. Deep learning has emerged as a foundational technology in the speech, text, and facial recognition that we use in our mobile and wearable devices and is now beginning to be used in many other applications, from medical diagnostics to Internet security, to predict patterns and make critical business decisions. This same technology is now migrating into advanced manufacturing practices for quality inspection and other judgment-based uses.
In essence, deep learning teaches machines to do what comes naturally to humans: to learn by example. New, low-cost hardware has made it practical to deploy bio-inspired, multi-layered “deep” neural networks that mimic neuron networks in the human brain. This gives manufacturing technology amazing new abilities to recognize images, distinguish trends, and make intelligent predictions and decision.
In factory automation, deep learning models can precisely and repetitively solve difficult vision applications that are too difficult to program and maintain using traditional machine vision systems. Deep learning models can distinguish unacceptable defects while tolerating natural variations in complex patterns. And they can be readily adapted to new examples without re-programming their core algorithms.
Cognex’s deep learning-based image analysis software, VisionPro ViDi, is optimized for factories and manufacturers. This innovative technology combines the specificity and flexibility of human visual inspection with the reliability, consistency, and speed of a computerized system. It can now can perform judgment-based part location, inspection, classification, and character recognition challenges more effectively than humans or traditional machine vision solutions.
Learn why leading manufacturers are turning to deep learning solutions and artificial intelligence to solve their most sophisticated automation challenges by downloading our free whitepaper, Deep Learning for Factory Automation.