Deep Learning Solutions

Vision systems and software designed specifically for manufacturing

Deep Learning Solutions

Deep Learning is designed for factory automation. Its field-tested algorithms are optimized specifically for machine vision, with a graphical user interface that simplifies neural network training without compromising performance. Combining artificial intelligence (AI) with In-Sight or VisionPro software, it automates and scales complex part location, assembly verification, defect detection, classification, and character reading inspection applications that, until now, were too challenging for traditional machine vision alone.

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Deep learning-based image analysis combines the specificity and flexibility of human visual inspection with the reliability, consistency, and speed of a computerized system. Deep learning models can precisely and repetitively solve difficult vision applications that would be too complicated to program and frequently impossible to maintain using traditional machine vision approaches. 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.

Deep learning-based software can now can perform judgment-based applications more effectively than humans or traditional machine vision solutions:

  • Part location
  • Inspection
  • Classification
  • Character recognition

Increasingly, leading manufacturers are turning to deep learning solutions and artificial intelligence to solve their most sophisticated automation challenges.

Deep learning technology is used in advanced manufacturing practices for quality inspection and other judgment-based applications

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:

  • Speech, text, and facial recognition
  • Mobile and wearable devices
  • Medical diagnostics
  • Internet security

Deep learning technology is being used 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 robots and 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. Starting from a core logic developed during initial training, deep neural networks can continuously refine their performance as they are presented with new images, speech, and text. This gives manufacturing technology amazing new abilities to recognize images, distinguish trends, and make intelligent predictions and decisions.

Deep learning

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