It involves image recognition, object detection, and video analysis using deep learning models.
How Computer Vision Works:
- Image Processing: Enhancing and filtering images for better analysis.
- Feature Extraction: Identifying key features like edges, shapes, and patterns.
- Neural Networks: Deep learning models classify and recognize objects within images.
Applications of Computer Vision:
- Facial Recognition: Used in security systems and unlocking smartphones.
- Autonomous Vehicles: Self-driving cars use CV to detect objects, lanes, and pedestrians.
- Medical Imaging: AI-powered diagnostic tools analyze X-rays, MRIs, and CT scans for disease detection.
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