Automotive · Production · Vendor case study
Machine Vision Optimizes Quality Inspection in Automotive Production (BIW weld seams)
| Company / plant | DGH Group for a large French automotive group |
|---|---|
| Defect type | Cracks, incomplete weld seams, irregular welding patterns |
| Part | Body-in-white MIG and laser welds |
| Material | Steel |
| Vendor | MVTec HALCON + Deep Learning Tool (integrator DGH Group) |
| Camera / lighting | 2D cameras, GigE Vision |
| Training data | "mainly “good images” of the welded joints, i.e., images of weld seams without defects, were required" |
| Reported result (quoted) | Page says detection rates are "very high and robust" (quoted from DGH); no figure stated |
| Notes | Not stated in source |
| Defect categories | Weld & spatter, Cracks |
| Source | https://www.mvtec.com/application-areas/success-stories/article/machine-vision-optimizes-quality-inspection-in-automotive-production |
Results are quoted from the source. Vendor-published results are vendor claims and were not independently verified. Spot an error? Contact us.