Step-by-Step Guide to Implementing Visual Search in Production Quality teams in manufacturing face a common challenge: how do you scale inspection capabilities when production volumes increase but headcount doesn't? After implementing visual search technology at our facility, we reduced inspection time per unit by 65% while actually improving defect detection rates. This tutorial walks through the practical steps we followed, including the mistakes we made so you can avoid them. The promise of AI-Powered Visual Search is compelling—automated defect detection that learns from examples rather than requiring explicit programming for every scenario. Unlike traditional machine vision that struggles with product variations, AI models adapt to the natural variability in manufacturing processes. For our implementation focused on weld quality inspection, this meant handling different lighting conditions, part orientations, and weld bead geometries without constant reprogramming.…