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