Real-world success stories showcasing Overview.ai's AI vision systems in automotive applications.
One OV20i image covers the full weld ring and separates porosity, weld displacement, and a doubled bead at pixel level, then grades the part against pixel-count rules with no external lighting. Every weld defect in the trial was identified on a single recipe, 60 minutes from setup to first detection.
The OV20i grades every weld good or NG on a single image with a confidence score, no dimensioning and no rules. Trained on three bad samples in under two minutes, the classifier caught a burn-through that slips past three layers of manual inspection and reached 100% accuracy on the first test set.
Final visual inspection on black rubber at line speed. The OV20i caught 99.6% of lab-confirmed defects versus 84% for the plant's best inspector, missed 6.4X fewer defects than the leading machine vision system, and has logged zero defect escapes since deployment. Trained on the plant's own defect language, with a live on-camera HMI and Pareto for scrap reduction.
One labeled wrinkle authored on a real leather seat, then retargeted across 14 OEM-spec fabric and color variants via Style Transfer. New trim specs onboard ~12.4× faster with no real seats damaged.
How a leading automotive manufacturer achieved 99.8% foreign object detection accuracy on PCB assemblies
Comprehensive defect detection for electric vehicle control board manufacturing
Get instant access to all 6 Automotive case studies in one click