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Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs. Here’s how it works:
Purpose:
Computer vision allows machines to “see,” observe, and understand visual data.
It mimics human vision but uses cameras, data, and algorithms instead of retinas and optic nerves.
Applications:
Image Recognition: Identifying objects, people, or patterns within images.
Object Detection: Locating specific objects in an image or video stream.
Face Recognition: Identifying and verifying individuals based on facial features.
Medical Imaging: Analyzing X-rays, MRIs, and other medical images.
Autonomous Vehicles: Enabling self-driving cars to perceive their surroundings.
Quality Control: Inspecting products for defects on production lines.
Augmented Reality: Overlaying digital information on real-world views.
Techniques:
Deep Learning: Utilizes neural networks to learn from vast amounts of labeled data.
Convolutional Neural Networks (CNNs): Break down images into pixels, apply convolutions, and make predictions.
Feature Extraction: Identifies relevant patterns or features in images.
Impact:
Industries like manufacturing, healthcare, retail, and automotive benefit from computer vision.
It enhances efficiency, safety, and decision-making.
In summary, computer vision empowers machines to interpret visual information, making it a crucial component of AI systems.
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Bhavesh Badani
13-May-2024Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs. Here’s how it works:
Purpose:
Applications:
Techniques:
Impact:
In summary, computer vision empowers machines to interpret visual information, making it a crucial component of AI systems.