创建组件识别数据的方法.pdf - 第141页
141/178 IM-SMT-VSNDI C-0002 -000 Figure 117 In the exam ple of actual re cognition shown i n Figure 1 18 , the lead section a nd the bod y section are separated by using the “C ut Outer No ise” func tion. Figure 118 It i…
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the noise is detected as shown in Figure 115, which eliminate the effects from the noise.
Please refer to “Appendix 1. Noise processing” for the details on the noise elimination
process.
Figure 115
In the actual example shown in
Figure 116
, the “Cut Outer Noise” function is used to eliminate
the effects caused by the projection on the lead section in order to stabilize the shape.
Figure 116
Also, if the component is divided into two parts and the boundary between the parts is not
clearly seen due to the lighting level, component lot, or another factor as shown in
Figure 117
,
the noise cut function can be used in order to perform stable recognition.
The “Cut Outer Noise” function separate the two objects connected together in order to
perform stable recognition.
“
Cut Inner Noise
”
“
Cut Outer Noise
”
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Figure 117
In the example of actual recognition shown in
Figure 118
, the lead section and the body
section are separated by using the “Cut Outer Noise” function.
Figure 118
It is possible to perform recognition on horizontally placed components. In this case, the data
should be set to the E-W direction not to the N-S direction.
2.12.3-4. Mark 4
This algorithm is used to recognize components whose shape consists of four parts, as
shown in
Figure 119
.
Figure 119
This part cannot
be seen clearly.
“Cut Outer Noise”
function is used
Separate
the two
objects.
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The target object is binarized, then the component is detected from the detected target object.
This mode can be used for recognition of the irregular shaped components.
It is possible to use the fixed threshold and the automatic threshold for binarization.
White objects are normally recognized, but it is also possible to detect black objects on
a white background.
[Recognition check items]
Items Yes / No Notes
Body Size Yes
Lead pitch No
Lead width No
Lead length No
Lead position No
Table 96
<< Mark 4: Items to be set for components consists of four parts >>
(Special components: Special shape, algorithm: Special 2, base Alignment Type: Mark type)
Items to be set Set value
Explanation
Alignment Group Special
Alignment Type Special
Comp. Threshold
Sets the binarization level.
(If 0 is specified, the threshold is set
automatically.)
Comp. Tolerance Specifies the tolerance as a percentage.
Search Area (mm) Sets the range of the detection.
Body Size X (mm) Sets the size of the outer edge.
Body Size Y (mm) Sets the size of the outer edge.
Body Size Z (mm) Sets the size of the outer edge.
Cntr. Offset X (mm)
Sets the offset amount in the X direction
from the center position.
Cntr. Offset Y (mm)
Sets the offset amount in the Y direction
from the center position.
Cntr. Offset R (mm)
Sets the offset amount of the angle of
rotation.
Ruler Width 3 Not used.
Algorithm Special 3
Base Alignment As Mark
Vision Option 1
Vision Option 2
Vision Option 3
Common
Data
Vision Option 4
*1
Specifies the priority to perform “Cut
Inner Noise “/”Cut Outer Noise” function
and the object type.