What Is A Checker; Types And Overview Of Checkers - Panasonic MICRO-IMAGECHECKER PV310 Use Manual

6.1 What Is a Checker?

6.1.1 Types and Overview of Checkers

Checker is a general term of the areas and the conditions for inspecting a captured image. The following
checkers are available in the PV310.
Checker Main application
Binary Measurement of size
Window Presence/absence
inspection
Gray Measurement of
Window brightness
Orientation recognition
Binary Edge Position detection
Length measurement (at
high speed)
Gray Edge Position detection
Measurement of length
(at high inspection
accuracy)
Feature Position detection
Extraction Angle detection
Counting
Smart Position detection
Matching Angle detection
Type recognition
Contour Position detection
Matching Angle detection
Type recognition
Flaw Flaw detection
Detection Detection of a flaw,
missing edge, burr on
the surface
Position
• Measurement of
Adjustment
moving amount (X,Y)
• Movement of a
checker shape
(toward the current
position of an object)
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Description
Counts the number of white or black pixels (area value) in a
specified area and judges as OK or NG based on the counted
number of white or black pixels.
Calculates the gray average values of all pixels in a specified
area and judges as OK or NG based on the counted number of
black or white pixels.
Judges as OK or NG by detecting whether or not there are the
edges between white pixels and black pixels in a binary image
Detects a changing point (edge) in certain brightness in
accordance with the gray value of each pixel and judges as OK
or NG in accordance with the number of detected changing
points, the coordinates and the changing amount (differential
values). This function is effective if variation in image brightness
is small and the contrast of an edge is low.
Detects a black or white pixel cluster larger than a certain size in
a binary image and judges as OK or NG based on the number of
the detected clusters. Outputs the feature amount such as the
coordinates of a center of gravity or principal axis angle
(+/-90-degree angle).
Detects an image similar to a base image (saved as a template)
based on the data (gray value) of the image brightness. Supports
for low-contrast images or 360-degree rotated images. Extracts
the difference between the base image and the detected image
(finds out the difference in gray by covering the base image with
the detected image). With the use of this function, you can set a
Mask area (, where inspection is not performed) within a
template.
Detects an image similar to the base image save as a template
according to contour information on the object. Supports for
360-degree rotated object. Up to four Contour Matching
checkers including rotation (contour) adjustment checkers can
be set per product type. This checker is available only in Frame
mode.
Calculates gray average value within the segmented area (cell)
in a line, arc and circle or rectangular area. If the PV310 detects
an area more than a certain level of difference in average gray,
the device judges it as a flaw.
After each checker detected the position of the object, calculates
the misalignment between the object and the base position. The
grouped checkers are executed in the position where the object
was moved from the base position. But, the number of
rotation-adjustment-referred checkers must be lower than the
number of the rotation-adjustment-referring checker. The object
can be detected by using the following checkers.
Refer.
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