AI & ML Course | Best Artificial Intelligence Training
                     What is Computer 
Vision, and How is 
it Used in AI 
Applications?
Subtitle:
 Understanding the Role of 
Computer Vision in Modern AI
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Introduction to Computer 
Vision
• Computer Vision is a field of 
Artificial Intelligence (AI) that enables 
machines to interpret and understand 
visual information from the world.
• It mimics human sight by capturing, 
processing, and analyzing images or 
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How Computer Vision 
Works
• Input: Images or video data 
from cameras or sensors
• Processing: Uses AI models, 
often deep learning (CNNs), to 
extract meaningful features
• Output: Identifies objects, 
patterns, or actions for decision-
making
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Key Components of Computer 
Vision
• Image Classification – Identifying 
what’s in an image
• Object Detection – Locating objects 
within images
• Segmentation – Dividing images into 
regions of interest
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• Facial Recognition – Detecting and 
matching human faces
Tools & Technologies
• Frameworks: OpenCV, 
TensorFlow, PyTorch
• Cloud Services: Azure 
Computer Vision API, AWS 
Rekognition, Google Vision AI
• Hardware: Cameras, GPUs, 
edge devices
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Use Cases in Daily Life
• Facial unlock on smartphones
• Self-driving cars using vision for 
navigation
• Social media platforms for photo 
tagging
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Amazon Go)
Industrial Applications
• Healthcare: Medical imaging 
diagnostics
• Manufacturing: Quality 
inspection in production lines
• Agriculture: Monitoring crop 
health
• Security: Surveillance and 
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Computer Vision in Azure AI
• Azure offers robust tools like:
– Azure Computer Vision API for 
image analysis
– Custom Vision for training tailored 
models
– Azure Video Indexer for video 
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analysis
Conclusion
• Computer Vision plays a vital role in 
AI, enabling machines to "see" and 
understand the world.
• Its applications span across industries, 
driving innovation and automation.
• With cloud platforms like Azure, 
implementing computer vision is more 
accessible than ever.
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For More Information About 
Artificial Intelligence
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Thank You
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