CVP BASIC (2026/2027)
UPDATE|EXAM
QUESTIONS WITH MULTIPLE
CHOICES |VERIFIED & REVISED
ANSWERS (NEW)!!!
WhatmismMachinemVision?m-
mCORRECTmANSWERmItmismthemautomaticmacquisitionmandmanalysismofmimagesmtomobtainmdesiredmd
atamformcontrollingmormevaluatingmamspecificmpartmormactivity
DefinitionmofmMachinemVisionm-mCORRECTmANSWERm-mAutomatedmANDmNon-Contact
-mAcquisitionmANDmAnalysis
-mData/informationmdelivery
-mTechnologiesmANDmmethods
-mAnmengineeringmdiscipline
BenefitsmofmUsingmMachinemVisionm-mCORRECTmANSWERm-
mHelpmeliminatemdedicatedmmechanicalmsolutions
-mProvidemflexibilityminmautomatedmprocesses
-mHelpmtomimprovemquality,menablemrelatedmtechnologies,mandmreducemcosts
MVm(asmamsetmofmmethods)m-mWhatmismImagemAcquisition?m-
mCORRECTmANSWERmAmcriticalmpartmofmmachinemvisionmthatmismrequiredminmordermtomachievemanmi
magemthatmcanmprovidemtheminformationmneededminmthemapplication.
WhatmismImagemAnalysis?m(MachinemVisionm-masmamsetmofmmethods)m-
mCORRECTmANSWERmThemoverallmprocessmofmextractingminformationmfrommthemimage.
, Includesmtasksmlikempre-
processing,mfeaturemextraction,mobjectmsegmentation,midentification,mmeasurementmandmmore.
WhatmismData/ResultsmIntegration?m(Informationmgainedmfrommthemimage....)m-
mCORRECTmANSWERmMakingmreal-
worldmdecisionsmaboutmtheminformationmgainedmfrommthemimage.mThemlinkmtomthemautomationmpr
ocess
"MachinemVision"morm"ComputermVision"m(definition,mdifferences)m-
mCORRECTmANSWERmComputermvisionmmostmcommonlymrefersmtomthemusemofmAImtechniquesmformc
lassificationmofmobjectsm(e.g.mneuralmnetworksmandmdeepmlearning)mtommakemcomputersm"see"minm
amperceptivemwaymthatmmimicsmhumans;mstreamingmvideomandmcontinuousmprocess
Machinemvisionmmostmcommonlymrefersmtomthemusemofmdiscretemfeaturemextractionmandmrule-
basedmcomparisonsmtommakemdecisionsmdirectlymonmimagemdata,m1-
1mrelationshipmpartmtomprocess
"MachinemVision"mvsm"ComputermVision"m(definitionmcontinued)m-
mCORRECTmANSWERmMachinemvisionmusesmamwidemvarietymofmtoolsmincludingmthosemthatmaremmos
tmoftenmconsideredmexclusivemtom"computermvision"m(deepmlearningmformexample)malongmwithmrul
e-basedmormdiscretemfeaturemextractionmandmanalysis
Machinemvisionmismnotmnecessarilymamsubsetmofmcomputermvisionmandmcomputermvisionmismnotmnec
essarilymamsubsetmofmmachinemvision
Inmsomemcases,mthemcapabilitymofmthemtoolsmdescribedmasmrule-
based/discretem(machinemvision)mandmlearning-
basedm(computermvision)moverlapmandmeithermmightmworkmwellmformamtargetmapplication
MVmDefinitionm-m"Inspect"m-
mCORRECTmANSWERmCheckmpresence/absence,mdetectmdefects,mverifymassembly,mdifferentiatemco
lors,mcountmobjects
UPDATE|EXAM
QUESTIONS WITH MULTIPLE
CHOICES |VERIFIED & REVISED
ANSWERS (NEW)!!!
WhatmismMachinemVision?m-
mCORRECTmANSWERmItmismthemautomaticmacquisitionmandmanalysismofmimagesmtomobtainmdesiredmd
atamformcontrollingmormevaluatingmamspecificmpartmormactivity
DefinitionmofmMachinemVisionm-mCORRECTmANSWERm-mAutomatedmANDmNon-Contact
-mAcquisitionmANDmAnalysis
-mData/informationmdelivery
-mTechnologiesmANDmmethods
-mAnmengineeringmdiscipline
BenefitsmofmUsingmMachinemVisionm-mCORRECTmANSWERm-
mHelpmeliminatemdedicatedmmechanicalmsolutions
-mProvidemflexibilityminmautomatedmprocesses
-mHelpmtomimprovemquality,menablemrelatedmtechnologies,mandmreducemcosts
MVm(asmamsetmofmmethods)m-mWhatmismImagemAcquisition?m-
mCORRECTmANSWERmAmcriticalmpartmofmmachinemvisionmthatmismrequiredminmordermtomachievemanmi
magemthatmcanmprovidemtheminformationmneededminmthemapplication.
WhatmismImagemAnalysis?m(MachinemVisionm-masmamsetmofmmethods)m-
mCORRECTmANSWERmThemoverallmprocessmofmextractingminformationmfrommthemimage.
, Includesmtasksmlikempre-
processing,mfeaturemextraction,mobjectmsegmentation,midentification,mmeasurementmandmmore.
WhatmismData/ResultsmIntegration?m(Informationmgainedmfrommthemimage....)m-
mCORRECTmANSWERmMakingmreal-
worldmdecisionsmaboutmtheminformationmgainedmfrommthemimage.mThemlinkmtomthemautomationmpr
ocess
"MachinemVision"morm"ComputermVision"m(definition,mdifferences)m-
mCORRECTmANSWERmComputermvisionmmostmcommonlymrefersmtomthemusemofmAImtechniquesmformc
lassificationmofmobjectsm(e.g.mneuralmnetworksmandmdeepmlearning)mtommakemcomputersm"see"minm
amperceptivemwaymthatmmimicsmhumans;mstreamingmvideomandmcontinuousmprocess
Machinemvisionmmostmcommonlymrefersmtomthemusemofmdiscretemfeaturemextractionmandmrule-
basedmcomparisonsmtommakemdecisionsmdirectlymonmimagemdata,m1-
1mrelationshipmpartmtomprocess
"MachinemVision"mvsm"ComputermVision"m(definitionmcontinued)m-
mCORRECTmANSWERmMachinemvisionmusesmamwidemvarietymofmtoolsmincludingmthosemthatmaremmos
tmoftenmconsideredmexclusivemtom"computermvision"m(deepmlearningmformexample)malongmwithmrul
e-basedmormdiscretemfeaturemextractionmandmanalysis
Machinemvisionmismnotmnecessarilymamsubsetmofmcomputermvisionmandmcomputermvisionmismnotmnec
essarilymamsubsetmofmmachinemvision
Inmsomemcases,mthemcapabilitymofmthemtoolsmdescribedmasmrule-
based/discretem(machinemvision)mandmlearning-
basedm(computermvision)moverlapmandmeithermmightmworkmwellmformamtargetmapplication
MVmDefinitionm-m"Inspect"m-
mCORRECTmANSWERmCheckmpresence/absence,mdetectmdefects,mverifymassembly,mdifferentiatemco
lors,mcountmobjects
