Image Processing Device
Advanced Ultra High-Speed
Imagechecker
http://www.mew.co.jp/ac/e
Ultra-compact
camera
Image Processing Device MICRO-IMAGECHECKER PV310
ARCT1B268E-2 '07 2
Double-speed
random camera
Standard camera Camera switching
Matsushita Electric Works, Ltd.
unit
High
Performance
RISC-CPU
Image
Processor
Software
Optimization
The PV310 achieves ultra high-speed image processing by:
• utilizing two processors
(image processor + high-performance RISC CPU)
• optimizing its software
(unique, high-speed image processing algorithm)
Excellent Peripheral Functions of the PV310
Ultra-Compact Camera
(12 mm diameter)
Ultra-compact camera have been added to the conventional variety of
cameras already supported. This facilitates miniaturizing target
equipment and retrofitting cameras in narrower spaces.
New Function
Branch Execution/Designated Execution
Change inspection routines immediately! Tooling changes are a thing of
the past!
Branch
execu-
tion
Branches the instruction
stream to choose an
inspection to be executed
depending on the test results.
Start signal input
Execute Block 1
Test + Judgment
OK NG
Desig-
execution
Provides high-speed
execution without tooling
nated
changes, reducing time for
inspections.
Start signal input
(Designate the inspections to be executed)
Inspection 1 Inspection 2 Inspection 1 Inspection 2 Inspection 3
Block 1Execute Block 2 Execute Block 3 Block 2 Block 3
<Three different inspections>
New Function
Image Data Transfer and Storage When Running
Image data can be saved on a CF card even during inspection, which allows you to
examine the data in your office at your convenience or transfer configuration settings to
another Imagechecker.
You can also transfer image data via Ethernet. You can set the file name to be transferred,
image output method, etc. The software which allows you to receive data is available on
our website free of charge.
2 3
Enhanced Functionality, Improved Performance
Improved
Smart Matching From
0 to 360
The matching function has been improved to inspect
workpieces rotated from 0 to 360.
New Function
Auto Area
Adjustment
The inspection area can be
automatically adjusted to the workpiece
size to cover slight variations
(dimensional tolerance of workpieces).
New Function New Function
Flaw Detection
Scratches, stains, chipped edges, burrs
and other defects that could previously
only be detected by a more upscale
model can now be detected.
Filters Increase Reliability
13 filters are available to increase
the reliabilty and accuracy of
inspections. You may combine up
to 5 filters.
Auto
adjustment
New Function
Low Contrast
Matching
The workpiece can be detected even if
the contrast to the background is low or
if the workpiece itself is damaged.
Detects low-contrast
images.
Edge enhancement
Laplacian
Edge detection:
Y direction
Edge detection:
X direction
Sobel
Expansion
Workpiece
Prewitt
Detects partly chipped
images.
Contraction
Median
Smoothing
Expansion →
Contraction
Contraction →
Expansion
Background
cutting
Surface scratches
and stains
Chipping and burrs
Chipping and burrs
Filter useful for noise removal
•
Expansion → Contraction
(Black noise removal)
Filter useful for contour extraction
•
Sobel
(Edge detection)
High-Speed Enhancements
[High Speed 1]
Smart Matching
Detects the presence (or absence) of a pattern (object) in
the search area that matches the template registered.
Detection of sub-pixel position possible with gray scale
matching. In addition, using the gray scale differential
processing function, shape inspection, e.g. to detect chips
or other flaws in an object, can also be carried out
simultaneously.
[High Speed 2]
Feature Extraction
Features, such as the number of objects, the area, central
coordinates, angle of the main axis, projection width or
perimeter length, can be extracted using a binary image.
High
Performance
RISC-CPU
Software
Optimization
[Processing Time]
Previous Model: 36.0 ms
3.8 ms
PV310:
Condition: Without orientation
correction
Template: 128 x 128
Search area: 512 x 480
[Processing Time]
Previous Model: 61.0 ms
3.9 ms
PV310:
Condition: With orientation
correction
Template: 486 x 452
Object color: Black
Image
Processor
Approx.
10
times faster than
previous model
Approx.
16
times faster than
previous model
Detects registered
template
Detection Image
[High Speed 3]
Gray Scale Window
An area can be created in a 256 gray scale image, with a
rectangular, circular or polygonal shape over the area
where object detection is to take place. An average value
for the brightness data (gray scale value) for all pixels in
that area can be calculated.
[High Speed 4]
Gray Scale Edge
The distance between lead pins or pitch size can be
measured for an inspection object. Parameters allow settings
to be made in great detail. Using the extreme accuracy of
sub-pixel processing, the edge in question can be reliably
extracted for a wide variety of object states.
[Processing Time]
Previous Model: 69.0 ms
1.7 ms
PV310:
Condition: With orientation
correction
Inspection area: 486 x 452
[Processing Time]
Previous Model: 28.0 ms
2.7 ms
PV310:
Condition: With orientation
correction
Inspection area: 200 x 160
Approx.
40
times faster than
previous model
Approx.
10
times faster than
previous model
Binary Window
Judges whether a certain amount of area for an object is present
using a binary image. High-speed processing is 23 times as fast
as previous models, even when multiple inspection areas are
specified.
4 5
[Processing Time] PV310: 2.1 ms Previous Model: 49.1 ms
Conditions: With orientation correction, inspection area: 486 x 452
Conditions: With orientation correction, inspection area: 486 x 452
Binary Edge
Determination of position and simple size measurement can be
carried out at approximately twice the speed of previous models. There
is no effect on inspection speed even if the inspection area is
increased for purposes of stability.
[Processing Time] PV310: 0.9 ms Previous Model: 1.8 ms
Conditions: With orientation correction, inspection area: 200 x 160