Panasonic PV310 User Manual

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
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