Setting Inspection Area And Conditions (Checker); Types And Overview Of Checkers - Panasonic PV500 User Manual

Machine vision system imagechecker
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4.7 Setting Inspection Area and Conditions (Checker)

4.7.1 Types and Overview of Checkers

Checker is a general term of the areas and the conditions for inspecting a captured image.
Sixteen types of checkers are available in the PV500. You can set up to 1000 checkers per product type and
checker type (when the number of used blocks is 10). However, the maximum number of checkers available for
a type is 1000.
The way of counting differs depending on checkers. One checker is not always counted as one. Before you
create a new checker, confirm the number of set checkers displayed on the checker number selecting window.
Types of Checkers
The following checkers are available in the PV500.
Line
Main application:
Description:
Refer to:
Binary Window
Main application:
Description:
Refer to:
Gray Window
Main application:
Description:
Refer to:
Binary Edge
Main application:
Description:
Refer to:
Gray Edge
Main application:
Description:
Refer to:
Presence/absence inspection, Counting
Line binarizes an image captured by a camera and
measures white or black pixels on a line. Judges as
OK or NG on the measured value.
97 p
Measurement of size, Presence/absence inspection
Binary Window binarizes an image captured by a
camera and measures an area or the number of white
or black pixels. Judges as OK or NG on the measured
value.
101 p
Measurement of brightness, Orientation recognition
Calculates the gray average values of all pixels in a
specified area and judges as OK or NG using the
measured number.
104 p
Position detection, Measurement of length (at high
speed)
Binary Edge binarizes an image captured by a camera
and detects an edge between white and black pixels.
Judges as OK/NG according to its existence.
106 p
Position detection, Measurement of length (at high
inspection accuracy)
Gray Edge detects a brightness changing point on a
grayscale image and judges as OK or NG in accordance
with the number of detected points. This function is
effective if the variation in image brightness is small and
the contrast of an edge is low.
110 p
89

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