Adept AdeptSight User Guide - Manual (Page 495)

l
Positioning Level has only a slight impact on the execution speed.
l
In applications where accuracy is not critical, decreasing the value can provide a slight
improvement in speed.
Recognition Level
Recognition Level allows you to slightly modify the level of recognition effort. The default set-
ting of 5 is the optimized (and recommended) setting for typical applications. Recognition
Level can be from 0 to 10.
A value of 0 will lead to a faster search that may miss instances that are partly blocked. Con-
versely, a value of 10 is useful for finding partly blocked objects in cluttered or noisy images,
or for models made up of small features at the Outline Level.
l When changing the recognition level, test your application to find the optimum speed
at which the process will still find all necessary objects within the image.
l If recognition level is too low (quick) some instances may be ignored.
l If recognition level is too high (exhaustive), your application may run too slowly.
l Recognition level does not affect positioning accuracy.
Model
Show Model Name
Determines if the model name is displayed in the Vision Window. This is only evaluated if
Show Results Graphics is true.
Model Disambiguation Enabled
When Model Disambiguation Enabled is set to true (default), the Locator applies dis-
ambiguation to discriminate between similar models and between similar hypotheses of a sin-
gle object. When set to false, the Locator does not apply disambiguation.
Model Optimizer Enabled
Model Optimizer Enabled specifies if the models can be optimized interactively using the
Model Optimizer. When set to true, the models can be optimized. When set to false, the mod-
els cannot be modified.
To build an optimized Model, you must provide an initial model of the object, and then
execute the Locator tool. While optimization is enabled, each new instance of the object
found by the Locator is analyzed and compiled into the optimized model that is currently in
progress. Strong features that recur frequently in the analyzed instances are retained in the
optimized model. Once the model is considered satisfactory, the optimized model can be
saved.
Model
AdeptSight User's Guide, Version 3.2.x, Updated: 8/23/2012
Page 495