ELECTRONICS/SOTWARE: Cognex Corporation launched VisionPro® Surface, a vision software package for inspecting the surface of materials. VisionPro Surface combines a revolutionary new visual defect detection and classification technology with a simple user interface to enable accurate defect detection, classification, and surface texture assessment during the manufacturing process.
Unlike traditional surface inspection technologies that use signal processing to detect defects, VisionPro Surface works by monitoring the visual appearance of the material. Using statistical analysis, VisionPro Surface automatically identifies potential defects in the material’s surface, and classifies the defects into groups based on similarity in contrast, texture and/or geometry. During the training phase the user simply adjusts the system’s sensitivity for defect detection, and assigns names or values for defects to distinguish between different types. During production the system automatically classifies each defect according to the categories defined by the user.
VisionPro Surface comes with:
Easy-to-use, self learning inspection software
Point-and-click application configuration
Visual self-learning defect classification tools
Automatic web-based reporting tools that enable users to map, list, and view defects with just the push of a button.
Optional hardware components such as camera, I/O, lights and cabling can be purchased separately from Cognex, or from third party vendors.
At the Design News webinar on June 27, learn all about aluminum extrusion: designing the right shape so it costs the least, is simplest to manufacture, and best fits the application's structural requirements.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.