Build a Body-in-White Inspection System with Computer Vision

Manufacturing a vehicle requires precise quality control, especially during the Body-in-White (BiW) stage where sheet metal components are welded together. Traditionally reliant on manual inspections, the automotive industry is shifting towards AI-powered computer vision systems to detect defects such as dents or structural warping, which can lead to assembly failures and costly recalls. This transition involves creating an Automated BiW Inspection System that acts as a "Surface Guardian" using a two-stage process: the Detector, powered by an RF-DETR model to identify potential issues, and the Inspector, using Gemini 3.1 Pro to analyze metal textures for smoothness. The system is trained using a curated dataset, incorporating preprocessing and augmentation to ensure accuracy in a high-speed production environment. By striking a balance between precision and recall, the AI system improves defect detection and reduces false positives, enhancing overall manufacturing efficiency.

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