Computer Vision
A field of AI that enables computers to interpret and understand visual information from the world, including images and videos.
Detailed Explanation
Computer Vision is an interdisciplinary field that trains computers to gain high-level understanding from digital images or videos. It seeks to automate tasks that the human visual system can do, such as object detection, facial recognition, scene understanding, and motion tracking. Modern computer vision systems use deep learning to achieve human-level or better performance in many visual recognition tasks, enabling applications from autonomous vehicles to medical imaging analysis.
Real-World Examples
Quality Control Inspection
ManufacturingManufacturing plants use computer vision to inspect products at 99.9% accuracy, detecting defects 10x faster than human inspectors and reducing waste by 30%.
Retail Analytics
RetailStores use computer vision to track customer movements, analyze shopping patterns, and optimize store layouts, increasing sales per square foot by 15%.
Frequently Asked Questions
Q:What's the difference between computer vision and image processing?
Image processing manipulates images (resize, filter, enhance). Computer vision interprets what's in images (identify objects, understand scenes). Computer vision often uses image processing as a preprocessing step.
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