The table "PatternRecognition" contains all the data and settings that are needed to perform a pattern recognition.
A pattern is the representation of the pattern points as they are presented in the upper chart in every Object screen.
A pattern is build up by marking every point of a pattern, along with the properties of that point in this table.
Every pattern point gets a "DeviationFactor" assigned.
This deviation factor makes it possible to set up the pattern recognition as tight as needed.
When a certain value "Y" on the X-axis has a deviation factor of 0 (zero) than only the points with this value will be recognized as "True".
But when tat point gets a deviation value of, lets say, 0.5, then all points on the X-axis within the value Y-0,5 and Y+0.5 will be recognized as "True".
Now, by combining all the points that form a pattern, and by setting the deviation to a certain vaule, any pattern that reflects this set of points will be recognized and thus will be marked in the overall Objects PatternRecognition chart.