创建组件识别数据的方法.pdf - 第165页

165/178 IM-SMT-VSNDI C-0002 -000 The circular s hapes on the figures in Figure 13 3 indicate the directio n check r ange, and indicate whether t he range w as brighter or dar ker c omparing to the rotated check range. In…

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Based on the result, add +90°, +180° or +270° to the tilt of the component and set the
value.
Table 110 is the example of the direction determination. Figure 133 is the result of the
recognition with the data in Table 110. The figure on the left in Figure 133 is the
recognition result obtained from the definition. The figure on the right in Figure 133 is the
recognition result of the 180 degrees rotated component.
Items to be set Set value
Alignment Group Special
Alignment Type Special
Comp. Threshold 0
Comp. Tolerance 30
Search Area (mm) 3.0
Body Size X (mm) 5
Body Size Y (mm) 9
Body Size Z (mm) 1.0
Cntr. Offset X (mm) 0.0
Cntr. Offset Y (mm) 0.0
Cntr. Offset R (mm) 0.0
Ruler Width 1
Algorithm Special 4
Base Alignment
Vision Option 1 0
Vision Option 2 0
Vision Option 3 0
Common
Data
Vision Option 4 0
Lead Group N 1
Common
Ruler Offset N 0
Lead Number: 1N 0
Reflect LL.: 1N (mm) 0.0
Lead Width: 1N (mm) 0.8
Lead Pitch: 1N (mm) 0.0
Find Pos X: 1N (mm) 0.0
N
direction
Group
1
Find Pos Y: 1N (mm) 3.0
Table 110
Figure 133
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The circular shapes on the figures in
Figure 133
indicate the direction check range, and
indicate whether the range was brighter or darker comparing to the rotated check range.
In the example, the value “0” is set to “Vision Option2”, so the difference in brightness
between the check range has to be at least 50.
3. Fiducial Mark Recognition
There are several methods that can be used for fiducial mark recognition. These can be
selected from those noted in Table 111 based on the values specified for the recognition
type and shape type.
Circle
Square/
Rectangle
Triangle
Sp.Shape
Corner TopEdge
CirEdge*
Normal
Center of
gravity
detection
Center of
gravity
detection
Center of
gravity
detection
Center of
gravity
detection
Corner
detection
Tip
detection
Contour
circle
detection
Special 1
Contour
circle
detection
Contour
square
Contour
triangle
Center of
gravity
detection
Corner
detection
Tip
detection
Contour
circle
detection
Special 2
Edge
circle
detection
Edge
square
Edge
triangle
Center of
gravity
detection
Corner
detection
Tip
detection
Edge
circle
detection
PTRN
Outline
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
PTRN
GrayLev
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
PTRN*
Whole
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Table 111
Note*:
“Cir Edge” and “PTRN Whole” may not be available for some machine series and software
versions.
3.1. Center of Gravity detection (Recognition type: Normal)
The mark contour is determined, and then the center of the mark is determined from the
center of gravity position of the contour. If there is a projection or a dent, it affects the
detection position. However, the “hole” inside the contour does not affect the recognition
result.
Figure 134
The contour is
detected.
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The recognition results are detected at the sub-pixel level.
The following shapes can be selected as the mark shape:
- Circle
- Square/ Oblong
- True triangle
- Special shape
The surface area and shape constant are checked for each of these shapes.
(Shape constant of the “Special shape” and “Oblong” are not checked. Only the surface area
is checked for the shapes.)
This recognition method is suitable for objects with brightness contrast.
<< Items to be set for center of gravity detection >>
Shape Type Selects from circle/square/triangle/special shape.
Surface type Selects reflecting/non-reflecting
Algorithm Type Normal
Mark Threshold Sets the binarization level. (If this is set to 0, the
binarization level is set automatically.)
Tolerance Sets the shape tolerance.
Search Area Sets the detection range.
Cut Inner Noise Selects from 0 through 9.
Cut Outer Noise Selects from 0 through 9.
Table 112
Figure 135
<< For circle / (square /rectangle)/ true triangle >>
Mark OutSize
Sets the Body Size.
(As shown in Figure 135, set the diameter for circle, the length of the
side for square and triangle, and for oblong, set the length of the
bottom line for X, height for Y.)
Table 113
The value obtained from the formula ( The perimeter
2
/ The surface area) is set as a
constant value, like those shown below. This is referred to as “shape constant”.
Circle: Perimeter
2
divided by surface area = 4π
Square: Perimeter
2
divided by surface area = 16
True triangle: Perimeter
2
divided by surface area = 36 / √ 3
[ What is
“
Shape constant
”
? ]