The　guide　holes　are　widely　used　in　aircraft　components　machining　and　assembly　but　it　is　difficult　to　perform　the　visual　inspection　methods　because　of　their　various　structural　forms　and　inconsistent　positions.　To　solve　this　problem,　the　paper　proposes　a　guide　holes　detection　method　for　plane　parts　based　on　binocular　vision.　Firstly,　Harris　angular　points　detection　is　used　to　identify　the　feature　points　of　the　captured　images　of　the　left　and　right　cameras.　Secondly,　Scale-invariant　feature　transform　(SIFT)　algorithm　is　used　to　match　the　feature　points,　and　the　spatial　position　of　the　feature　points　is　determined　according　to　the　binocular　stereo　vision　principle.　Then　the　space　plane　where　the　guide　hole　is　located　is　found　by　the　least　squares　method.　Finally,　The　position　of　the　camera　is　adjusted　with　the　multi-axis　numerical　control　mechanism　so　that　the　perspective　projection　distortion　can　be　reduced　and　the　detection　efficiency　and　accuracy　may　be　improved.　©　2018　IET　Conference　Publications.　All　rights　reserved.