Installation manual

Maxsys and MX Series Software Administrator’s Guide 297
Determining the Minimum Score
The Minimum Score is used to enable the detection of products inserted in the
wrong orientation. If a product is inserted upside down, for example, some
unintended region of the product will be captured by the camera. In such an
occurrence, the product should be rejected. The search algorithm can accomplish
this by looking at a minimum score threshold provided.
The example above has a minimum score of 1
00%. There are actually nine
matching locations within the search zone for this particular image.
In the example below, there is a minim
um score of 0% for the same image,
meaning that any score will satisfy the search criteria.
Note that the entire search area is covered with green Xs, except for the blue X
marking the best match point chosen within the search area. This shows that the
search algorithm will always look for the best score it can find on the image. The
blue X is actually in the right location (the same location as with a minimum score
of 100). The flood of green Xs show that any point within the search area would
have passed the minimum score test. If the mark was actually absent from the
product, some other point would have been chosen in the search area.
Using a minimum score of 0 will always result in a found target (even if there is
physically no such target on the image). There will be no way for the algorithm to
signal a misoriented product if you set the minimum score to 0.