Understanding AI-Powered Visual Search in Modern Manufacturing In today's manufacturing landscape, quality assurance teams face mounting pressure to detect defects faster, reduce scrap rates, and maintain compliance with increasingly stringent standards. Traditional manual inspection methods struggle to keep pace with production volumes, while rule-based machine vision systems lack the flexibility to handle product variations. This is where visual search technology powered by artificial intelligence is transforming how we approach quality management and defect detection. AI-Powered Visual Search represents a fundamental shift from programmed inspection to learned pattern recognition. Unlike conventional SCADA systems that rely on threshold-based alerts, AI-powered visual search uses deep learning models trained on thousands of images to identify anomalies, classify defects, and even predict quality issues before they occur.…