Programming software VisionPro®
image analysismanufacturingmeasurement

programming software
programming software
programming software
programming software
programming software
programming software
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Characteristics

Function
image analysis, measurement, manufacturing, programming
Applications
for aeronautics

Description

VisionPro Deep Learning is the best-in-class deep learning-based image analysis software 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. VisionPro Deep Learning solves complex applications that are too challenging for traditional machine vision alone, while providing a consistency and speed that aren’t possible with human inspection. When combined with VisionPro’s rule-based vision libraries, automation engineers can easily choose the best the tool for the task at hand. VisionPro Deep Learning combines a comprehensive machine vision tool library with advanced deep learning tools inside a common development and deployment framework. It simplifies the development of highly variable vision applications. Intuitive graphical training VisionPro Deep Learning’s graphical training interface simplifies the task of collecting images, training the neural network, and testing it on a variety of image sets. The unique tool-chaining capability lets users break down their problem into smaller steps making it easier to optimize and requiring fewer training images. Simplified integration in a common environment Users can take advantage of the extensive selection of traditional machine vision tools alongside innovative deep learning tools.

Catalogs

VisionPro
VisionPro
18 Pages
CVL
CVL
23 Pages
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.