Vision

1. Computer Vision
Understanding How Machines See
the World
Presented by: [Your Name] | Date:
[Your Date]

2. Introduction to Computer Vision
• - Computer Vision is a field of Artificial
Intelligence (AI) that enables machines to
interpret and process visual data.
• - It mimics human vision but at a faster and
more precise level.
• - Used in image recognition, object detection,
facial recognition, and more.

3. How Computer Vision Works
• - Image Acquisition – Capturing images or
videos.
• - Preprocessing – Enhancing and filtering
images.
• - Feature Extraction – Identifying patterns,
edges, textures, etc.
• - Decision Making – Recognizing objects,
classifying images, etc.

4. Key Technologies in Computer
Vision
• - Machine Learning & Deep Learning – Neural
networks power most CV applications.
• - Convolutional Neural Networks (CNNs) –
Used for image recognition.
• - Edge Detection & Feature Matching – Helps
in identifying objects in images.
• - Optical Character Recognition (OCR) –
Converts text in images into readable format.

5. Applications of Computer Vision
• - Facial Recognition (e.g., Face ID, surveillance
systems).
• - Medical Imaging (e.g., X-ray and MRI
analysis).
• - Self-Driving Cars (e.g., Object detection for
navigation).
• - Retail & E-commerce (e.g., Virtual try-on,
product recommendations).

6. Challenges in Computer Vision
• - Variability in lighting and angles.
• - Large datasets and computational power
requirements.
• - Ethical concerns (e.g., privacy issues in
surveillance).
• - Bias and accuracy issues in AI models.

7. Future of Computer Vision
• - Advancements in AI and deep learning will
improve accuracy.
• - Integration with Augmented Reality (AR) and
Virtual Reality (VR).
• - Widespread use in healthcare, security, and
automation.
• - More ethical considerations and regulations
for responsible use.

8. Conclusion
• - Computer Vision is transforming industries
with AI-powered image processing.
• - It plays a key role in automation, healthcare,
and security.
• - Continued research and ethical
considerations will shape its future.