Artificial intelligence for machine vision

PC Vision / Deep Learning

Welcome to the world of PC Vision and Deep LearningDeep learning PC Vision

Think your application is too complex to automate? Think again. Today, increasing numbers of manufacturers are turning to deep learning-based image analysis to help improve the automation of many tasks, including:

  • Assembly verification and deformed part location
  • Cosmetic and functional defect detection
  • Texture and material classification
  • Character reading, including distorted print

Cognex deep learning technology— designed specifically for factory automation—now makes it possible to automate previously unprogrammable applications, reducing error rates and quickening inspection times.

Industry is turning to deep learning technology to solve manufacturing inspections that are too complicated, time-consuming, and costly to program using traditional machine vision. Cognex ViDi is the first deep learning-based software designed to solve these complicated applications for factory automation.

What is Deep Learning?

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

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 foundation 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.

Deep Learning and Machine Vision

Deep Learning Versus Machine VisionNew deep learning-based software helps machines recognize images, distinguish trends, and make intelligent predictions and decisions.

For decades, machine vision systems have taught computers to perform inspections that detect defects, contaminants, functional flaws, and other irregularities in manufactured products. Human visual inspection prevails, however, in situations that require learning by example and appreciating acceptable deviations from the control. Machine vision, by contrast, offers the speed and robustness that only a computerized system can.

Deep learning technology uses neural networks which mimic human intelligence to distinguish anomalies, parts, and characters while tolerating natural variations in complex patterns. In this way, deep learning combines the flexibility of human visual inspection with the speed and robustness of a computerized system.

Why use Deep Learning?

Why use Deep Learning?

How to use Deep Learning?

Deep learning software trains on a set of labeled images that represent a part’s known features, anomalies, and classes—much like a human inspector would be trained. A supervised training period teaches the system to recognize explicit defects. For defects that come in multiple forms, the system trains itself in unsupervised mode to learn the normal appearance of an object, including its significant but tolerable variations.


    • Cognex VisionPro Software

      Cognex VisionPro Software

      With VisionPro, users can access a robust library of pattern matching, blob, caliper, line location, image filtering, OCR, and OCV vision tools, as well as 1-D and 2-D barcode reading, to perform a wide range of functions from inspection to identification and measurement. VisionPro software is fully integrated with an extensive .NET class library and user controls.

      • Ease of development
      • Reduce cycle time
      • Easily load and execute jobs
      • Robust vision software on any camera or frame grabber


    • Cognex Designer 2.0 Vision Software

      Cognex Designer 2.0 Vision Software

      Cognex Designer 2.0  Vision Software provides significant new capabilities to allow customers to build their vision applications completely and efficiently

      • Cognex Designer is bundled with VisionPro software, providing access to PatMax, PatMax AutoTune, IDMax, and OCRMax
      • Integrated development environment for 2D multi-camera and 3D vision applications
      • Integrated factory floor and I/O communication
      • Rich HMI User Interface
      • Database, Audit trail, and Recipe management


    • VisionView Operator Interface

      VisionView Operator Interface

      The VisionView operator interface is ideal for monitoring and controlling In-Sight vision systems and Ethernet-enabled DataMan industrial ID readers on the factory floor, and allows password-protected operator access.

      The VisionView application software is available on four platforms which feature:

      • Flexible viewing options, with up to 12 images tiled in a single view
      • Full colour image displays with graphics and operator controls
      • Automatic detection of compatible Cognex In-Sight smart cameras and DataMan barcode readers on your network
      • Fast image display rates
      • Ability to view current inspections, and view the last failed image


    • Cognex ViDi Suite

      Cognex ViDi Suite

      ViDi Suite offers ready-to-use Deep Learning-based software dedicated to industrial image analysis. ViDi Suite is a field-tested, optimised and reliable software solution based on a state-of-the-art set of algorithms in Machine Learning, suitable for countless challenging machine vision applications.

      • Automated detection, inspection and classification
      • Human-like
      • Self-learning
      • Powerful

      It tackles otherwise impossible to program inspection and classification challenges with flexible and straightforward solutions.

      ViDi Suite consists of three different tools:

      ViDi blue: Fixturing
      ViDi red: Segmentation and Abnormality Detection
      ViDi green: Object and Scene Classification


    • Cognex ViDi Deep Learning-Based Image Analysis for the Automotive Industry

      Cognex ViDi Deep Learning-Based Image Analysis for the Automotive Industry

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