Computer Vision
Computer Vision (CV) is a field of Artificial Intelligence (AI) that enables machines to interpret and understand visual information from images and videos. By using machine learning, deep learning, and neural networks, Computer Vision allows systems to analyze, detect, and recognize objects, patterns, and actions—similar to how humans perceive the world. It plays a crucial role in various applications, including facial recognition, autonomous vehicles, industrial automation, medical imaging, and smart surveillance. As advancements in AI and computing power continue to evolve, Computer Vision is becoming more accurate, efficient, and widely integrated across industries, transforming how machines interact with their surroundings.
A Brief History of Computer Vision in Quality Control & Manufacturing
Computer Vision (CV) in quality control and manufacturing has evolved from manual inspections to AI-driven automation.
- 1960s: Early research in image processing and pattern recognition.
- 1970s-1980s: First machine vision systems used in assembly lines for defect detection.
- 1990s: Digital imaging and early neural networks improved accuracy in electronics and automotive industries.
- 2000s: Machine learning enabled real-time automated inspections and robotic vision systems.
- 2010s-Present: Deep learning revolutionized defect detection, predictive maintenance, and process optimization in manufacturing.
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