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1、此元件有个小耳朵，与本体反光度比较相近故比较难识别设定：Alignment Group: SpecialAlignment type: SpecialBody Size X : 4.02Body Size Y : 3.28Body Size Z : 1Lead Group N: 1Lead Group S: 1Lead Number N1: 1Lead Width N1: 4Reflectll N1: 3.3Find Pos X N1: 0Find Pos Y N1: 1.7Lead Number S1: 1Lead Width S1: 4Reflectll S1: 3.3Find Pos X
2、 S1: 0Find Pos Y S1: -1.7Algorithm : NormalBase Alignment : Sp. QuadVision Option 4 : 015此元件下面两个小脚造成干扰，故以此两脚进行识别。Alignment Group: SpecialAlignment type: SpecialBody Size X : 7Body Size Y : 13Body Size Z : 3.5Lead Group S: 1Lead Group E: 1Lead Group W: 1Lead Number S1: 2Lead Pitch S1: 5Lead Width S1:
3、 0.3Reflectll S1: 1Find Pos X S1: -3Find Pos Y S1: -6.5Lead Number E1: 1Lead Width E1: 0.8Reflectll E1: 0.9Find Pos X E1: 3Find Pos Y E1: 2Lead Number W1: 2Lead pitch W1: 2.5Lead Width W1: 0.8Reflectll W1: 0.9Find Pos X W1: -2.5Find Pos Y W1: 2.5Algorithm : NormalBase Alignment : NoneVision Option 4
4、 : 0YAMAHA YV100XG可以精确稳定的识别贴装手机屏蔽盖，对元器件的参数需要有特定的设置，如下： Alignment Group: Special Alignment Type : Special 在元器件参数SHAPE一项中， Algorithm : special 4 Base Alignment: As Mark Vision option 4: 64 所有 RefelectLL都设置为 0。 在元器件参数Vision中 Comp.Threshold: 0 另外需要注意的是这种方式识别的是屏蔽盖上的圆孔。即将圆孔当成管脚来识别。所以有关管脚的参数都以圆孔的参数来确定。在元器件
5、参数中元件的尺寸不是屏蔽盖的实际尺寸，而是你所选孔的外沿的距离。如果孔多的话可以任选3个或4个孔即可。不过这种方式因为不是实际的尺寸，可能在优化后造成相邻头吸取元件后互相干扰。 如果屏蔽盖没有孔且形状比较规则，可以用Spec.Quad方式识别。设备设定（识别点为发光部）如果为圆形则Reflectll不设置设备设定（识别点为发光部）随着SMT技术的不断发展,一些客户的特殊元件形状也越来越复杂,对于没有规则的外轮廓的元件如果其内部有某些特征点可以用来识别的时候经常比较困难,下面对Special类型下的Vision Option参数简单作一点介绍.本文介绍是以YG100机器为例的. 本文中的元件识别
6、方式选用了Special-Special-Asmark-4General,其中如果实在YVXg机器上没有4General选项,实际上在YVXg系列机器上可以选择Special-Special-Asmark-Special4是一样的效果(已经经过验证). 如上图我们可以选择元件内部的圆点来进行识别,在尺寸设定是我们可以把圆点的直径输入Lead width参数中,此时ReflectLL参数输入0即可,这样机器描绘出的元件管脚形状就是圆形的.下表针对Vision Option4参数进行说明. 如Vision Option4=64, 表示Noise Cut Inner=0 Noise Cut Oute
7、r=0.从下表中对应关系可以很方便的查出Vision Option4的值从0到127对应的Noise Cut Inner以及Noise Cut Outer的数值.Subject: Regarding the Shielding component recognition function1. OverviewThe slope of ”Controlling line” that composes outline of the component is assumed to be inclination of component, and the center of the circumscr
8、ibed rectangle of this inclination is made component center.2. Prerequisite1. The majority of outline are composed of straight lines in horizontal/vertical direction.2. Outline must be clear.(Recognition becomes N.G., when both the red circle part in the above figure become interrupted. )3. Recognit
9、ion settings1) AlgorithmAlignment Group: Special Alignment Type : Special Algorithm : Special 8Base Alignment: Special2) ShapeSpecify the outside dimension of components (the circumscribed rectangle size) ./3) Component ThresholdSpecify the brightness for component recognition (binarization level).
10、“0” means automatic setting.4) Component ToleranceSpecify a tolerance of component body size by percentage (%).) Search AreaSpecify the range of detection.) Vision Option 4When the component image is digitized and shown in binary (black and white), noise may appear outside or inside the component.7
11、6 5 4 3 2 1 0 Outer 1: Outer - InnerThis option parameter has the meaning of each bit in the data of one byte.Therefore, when you assume the outer and inner noise cutting value tobe n1/n2,Target object is White : n2 8 + n1Target object is Black : 64 + n2 8 + n1the value requested by calculating the
12、above-mentioned should be set. For example, when outer noise cutis twice, and inner noise cut is three times, set the following value;Target object is White :3 8 + 2 = 26Target object is Black :64 + 3 8 + 2 = 90Moreover, when the execution sequence is outer to inner, specify the value in which 128 i
13、s subtracted from this value.In other word, for the above example, specify the following value;Target object is White : 26 - 128 = -102Target object is Black :90 - 128 = -38Alignment Group: SpecialAlignment type: SpecialBody Size X : 6Body Size Y : 7Body Size Z : 0.5Lead Group N: 1Lead Group S: 1Lead Group E: 0Lead Group W: 0Lead Numb
