基于工业视觉的汽车钣金件智能检测装备研发

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中图分类号：TP391.4 文献标志码：A 文章编号：2095-2945（2025）18-0033-04

Abstract：Withtherapiddevelopmentoftheautomotiveindustry，people'srequirementsforthequalityofautomotivesheet metalpartsarebecomingincreasinglyhighTradionalmanualdetectionmethodsarenotonlyineficient，butalsosusceptibleto humaninterference，leading tounstabledetectionresults.Inordertoimprovedetectionfciencyandaccuracythisstudy developedanintellgentdetectiondevice forautomotivesheetmetal partsbasedonindustrialvision.Thisdeviceuses precisionindustrialcamerastocaptureimagesofsheetmetalpartsAdvancedimageprocesingalgorithmsareusedtopreproce， extractfeatures，andrecognizedefectsintheimages.Machinelearningtechnologyisusedtointellgentlyanalyethedetection results，achievingfastandaccuraterecognitionofsurfacedefectsonshetmetalparts.Thepracticalityandreliabilityofthe devicehavebeenverifiedthroughactualproductionlinetesting.Thisresearchprovidesanefectivesolutionfortheautomated and intelligent inspection of automobile sheet metal parts.

Keywords：industrialvision;intellgent inspection;automotivesheetmetal paits;；imageprocessing；machinelearning

汽车钣金件的质量对汽车性能和安全性至关重要。（剩余3649字）