AI-Driven Defect Detection: Revolutionizing Quality Control in Manufacturing
Abstract: AI-driven defect detection uses artificial intelligence and machine learning to automate and enhance quality control in manufacturing . These systems use high-resolution cameras and sensors with advanced computer vision algorithms to rapidly and accurately identify flaws that may be difficult for humans to spot. Keywords: AI in Manufacturing, Computer Vision, Defect Detection, Deep Learning, Automation, Quality Control, Industrial AI Let's explore the AI-driven defect detection in details Introduction In modern manufacturing, maintaining high product quality while minimizing production costs is essential for competitiveness. Traditional quality inspection methods, heavily reliant on human expertise, often face challenges such as fatigue, inconsistency, and limited scalability. With the rise of Artificial Intelligence (AI) and computer vision , the manufacturing industry has entered a new era of AI-driven defect detection —a transformativ...