YAMAHA YV100XG异型元件识别

1设定：AlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:4.02BodySizeY:3.28BodySizeZ:1LeadGroupN:1LeadGroupS:1LeadNumberN1:1LeadWidthN1:4ReflectllN1:3.3FindPosXN1:0FindPosYN1:1.7LeadNumberS1:1LeadWidthS1:4ReflectllS1:3.3FindPosXS1:0FindPosYS1:-1.7Algorithm:NormalBaseAlignment:Sp.QuadVisionOption4:0此元件有个小耳朵，与本体反光度比较相近故比较难识别2AlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:7BodySizeY:13BodySizeZ:3.5LeadGroupS:1LeadGroupE:1LeadGroupW:1LeadNumberS1:2LeadPitchS1:5LeadWidthS1:0.3ReflectllS1:1FindPosXS1:-3FindPosYS1:-6.5LeadNumberE1:1LeadWidthE1:0.8ReflectllE1:0.9FindPosXE1:3FindPosYE1:2LeadNumberW1:2LeadpitchW1:2.5LeadWidthW1:0.8ReflectllW1:0.9FindPosXW1:-2.5FindPosYW1:2.5Algorithm:NormalBaseAlignment:NoneVisionOption4:0此元件下面两个小脚造成干扰，故以此两脚进行识别。3YAMAHAYV100XG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：AlignmentGroup:SpecialAlignmentType:Special在元器件参数SHAPE一项中，Algorithm:special4BaseAlignment:AsMarkVisionoption4:64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。ＹＧ设备设定（识别点为发光部）ＹＧＸＧ设备设定（识别点为发光部）如果为圆形则Reflectll不设置4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VisionOption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Leadwidth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VisionOption4参数进行说明.如VisionOption4=64,表示NoiseCutInner=0NoiseCutOuter=0.从下表中对应关系可以很方便的查出VisionOption4的值从0到127对应的NoiseCutInner以及NoiseCutOuter的数值.56Subject:RegardingtheShieldingcomponentrecognitionfunction1.OverviewTheslopeof”Controllingline”thatcomposesoutlineofthecomponentisassumedtobeinclinationofcomponent,andthecenterofthecircumscribedrectangleofthisinclinationismadecomponentcenter.2.Prerequisite1.Themajorityofoutlinearecomposedofstraightlinesinhorizontal/verticaldirection.2.Outlinemustbeclear.(RecognitionbecomesN.G.,whenboththeredcirclepartintheabovefigurebecomeinterrupted.)3.Recognitionsettings1)AlgorithmAlignmentGroup:SpecialAlignmentType:SpecialAlgorithm:Special8BaseAlignment:Special2)ShapeSpecifytheoutsidedimensionofcomponents(thecircumscribedrectanglesize)./73)ComponentThresholdSpecifythebrightnessforcomponentrecognition(binarizationlevel).“0”meansautomaticsetting.4)ComponentToleranceSpecifyatoleranceofcomponentbodysizebypercentage(%).５)SearchAreaSpecifytherangeofdetection.６)VisionOption4Whenthecomponentimageisdigitizedandshowninbinary(blackandwhite),noisemayappearoutsideorinsidethecomponent.76543210-bitpositionstn2n1Cutouternoise(0to7)[coefficient:1]Cutinnernoise(0～7)[coefficient:8]Targettype[coefficient:64]0:DetecttargetisWhite/1:DetecttargetisBlackInner&Outernoisecutexecutionsequence[coefficient:-128]0:Inner-Outer1:Outer-InnerThisoptionparameterhasthemeaningofeachbitinthedataofonebyte.Therefore,whenyouassumetheouterandinnernoisecuttingvaluetoben1/n2,TargetobjectisWhite:n2×8+n1TargetobjectisBlack:64+n2×8+n1thevaluerequestedbycalculatingtheabove-mentionedshouldbeset.Forexample,whenouternoisecutistwice,andinnernoisecutisthreetimes,setthefollowingvalue;TargetobjectisWhite:3×8+2=26TargetobjectisBlack:64+3×8+2=90Moreover,whentheexecutionsequenceisoutertoinner,specifythevalueinwhich128issubtractedfromthisvalue.Inotherword,fortheaboveexample,specifythefollowingvalue;TargetobjectisWhite:26-128=-102TargetobjectisBlack:90-128=-388AlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:6BodySizeY:7BodySizeZ:0.5LeadGroupN:1LeadGroupS:1LeadGroupE:0LeadGroupW:0LeadNumberS1:1LeadPitchS1:0LeadWidthS1:6ReflectllS1:2FindPosXS1:-0FindPosYS1:-2.5LeadNumberN1:1LeadWidthN1:6ReflectllN1:2FindPosXN1:0FindPosYN1:2.5Algorithm:SPECIAL2BaseAlignment:ASMARKVisionOption4:09FlipchiprecognizeAlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:1BodySizeY:0.9BodySizeZ:0.6LeadGroupN:1LeadGroupS:1LeadGroupE:0LeadGroupW:0LeadNumberS1:2LeadPitchS1:0.4LeadWidthS1:0.25ReflectllS1:0FindPosXS1:-0.2FindPosYS1:-0.2LeadNumberN1:2LeadPitchN1:0.4LeadWidthN1:0.25ReflectllN1:0FindPosXN1:-0.2FindPosYN1:0.2Algorithm:SPECIAL1BaseAlignment:FlipchipVisionOption4:010V1.21后遇到NozzlebrightnessproblemAlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:0.58BodySizeY:1BodySizeZ:0.6LeadGroupN:1LeadGroupS:1LeadGroupE:0LeadGroupW:0LeadNumberN1:1LeadPitchN1:0LeadWidthN1:0.58ReflectllN1:0.25FindPosXN1:0FindPosYN1:0.5LeadNumberS1:1LeadPitchS1:0LeadWidthS1:0.58ReflectllS1:0.25FindPosXS1:0FindPosYS1:-0.5Algorithm:SPECIAL12BaseAlignment:stdchipVisionOption4:011AlignmentGroup:SpecialAlignmenttype:SpecialBodySizeX:２BodySizeY:４.２BodySizeZ:0.6LeadGroupN:０LeadGroupS:０LeadGroupE:０LeadGroupW:0Algorithm:SPECIAL8BaseAlignment:spQuad12元件识别正反面ThereareanumberofspecialrecognitionalgorithmsavailableintheSpecialRectangleRecognitionmode.1.Special‘1’:Notsupported(checkoftheaveragedensityamongtheobjects)2.Special‘2’:Notsupported(holepositioncheck)3.Special‘3’:Direct