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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...

Abstract: Computer vision is a field of artificial intelligence (AI) that trains computers to see, interpret and understand the world around them through machine learning techniques. Computer vision is a field of artificial intelligence (AI) that applies machine learning to images and videos to understand media and make decisions about them. With computer vision, we can, in a sense, give vision to software and technology. Computer vision programs use a combination of techniques to process raw images and turn them into usable data and insights. The basis for much computer vision work is 2D images, as shown below. While images may seem like a complex input, we can decompose them into raw numbers. Images are really just a combination of individual pixels and each pixel can be represented by a number (grayscale) or combination of numbers such as (255, 0, 0—RGB). Keywords: Computer Vision, RGB, Pixels, 2D images, Artificial Intelligence (AI), Machine Learning  Lear...