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Application Areas
Because of the integration of functions for many
different areas of digital image processing under the same intuitive
user-interface, NeuroCheck can be applied cost-effectively even in
small companies, since you can easily transfer the experience gained
from one application to the next. This page shows some typical
application areas.
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Presence Verification
The question to be answered in a presence
verification problem is, whether a product is complete with all
required components. As an 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.
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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 further 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 her at an ink-jet bar code on a
metal surface.
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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.
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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.
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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
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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. Do not only verify the presence of a
component, but simultaneously its color. Besides, 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.
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