NeuroCheck Applications and Case Studies

Inspection systems powered by NeuroCheck software are used all over the world in various industries including automotive, electronics, semiconductors, plastics, medical devices, manufacturing, food and pharmaceuticals, as well as in research and education.

NeuroCheck is used in all application areas of digital image processing such as presence verification, pattern recognition, gauging, bar code identification, character recognition, color processing, surface inspection, packaging, robotics, and line-scan camera applications.

The NeuroCheck concept, with its integration of development and runtime systems and the intuitive Windowstm user interface, makes it easy for you to create image processing applications and reduces costs thru easy reconfiguration and rapid turn-around, providing a high ROI and reduced obsolescence for companies of all sizes.

This page shows several specific Case Studies and some typical application areas using NeuroCheck machine vision software.

Specific Case Studies Using NeuroCheck Machine Vision Software:

Reading an IC Inscription	Needle-Stamped Digits on Metal	Screws in Plastic Casing
Robot Guidance: Part Picking	Assembly Check of car AC unit	Bar Code Identification
Thread Pitch	Nozzle Gauging for Med Tech	Fuel Gauge

Typical Application Areas for NeuroCheck Machine Vision Software:

Presence Verification

The presence verification function determines whether or not a product is complete with all the required components. In this example, the image displays a palette of car parts with one part missing in the second row. NeuroCheck's integrated concept enables you to check the detected objects for validity using all available features, even a neural classifier.

Bar Code Identification

Bar code identification is especially important for process control in production systems. From the bar code, the type of the work piece can be determined to control other inspection processes. NeuroCheck's bar code algorithms guarantee reliable recognition of all standard bar code types even for very poor quality conditions, as you can see in this example of an ink-jet bar code on a metal surface.

Pattern Recognition

Parts can also be identified by readable letters or arbitrary symbols instead of bar codes. The neural networks used by NeuroCheck can learn from examples to recognize arbitrary patterns, enabling you to tune the recognition process to your particular application.

Gauging

Gauging is a very important area of digital image processing. With NeuroCheck you can measure dimensions of individual objects as well as distances between objects and properties of whole object groups. Depending on the camera's field of view, a precision of 5 to 10 micrometers can be achieved.

Print Quality Inspection

Not only can NeuroCheck recognize defects of printed labels, like malformed characters or color spots, the print quality inspection functionality can also be used to check the correspondence of the current image to any kind of reference image

Color Matching

A completely new range of applications for NeuroCheck is opened by Color Matching. On the basis of user-defined reference colors, areas of different colors can be identified immediately You can verify the presence of a component, and simultaneously, its color. Color Matching often represents the only method to distinguish between equally shaped but differently colored objects. Converting the full color images into gray scale images enables color inspection applications with the speed and efficiency of a highly optimized gray level system.