Computer Vision is a branch of Artificial Intelligence (AI).
It enables computers to see images and understand videos.
It helps identify objects and patterns.
It allows machines to make decisions from visual data. It works like giving 'eyes and brain' to a computer.
Slide3: History of Computer Vision
1960s – Basic image processing started.
1980s – Pattern recognition improved.
2000s – Machine learning introduced.
2012 – Deep Learning revolution. Today – Used in self-driving cars, face recognition, and medical diagnosis.
Slide4: How Computer Vision Works
Image Capture using cameras or sensors.
Image Processing to enhance and clean data.
Feature Extraction to identify important details.
Pattern Recognition and Decision Making using Machine Learning and Deep Learning algorithms.
Slide5: Key Technologies Used
Machine Learning – Computers learn from data.
Deep Learning – Uses Neural Networks.
Convolutional Neural Networks (CNN) – Special network for image recognition.
Image Processing – Enhancing and analyzing images.
Slide6: Applications of Computer Vision
Self-Driving Cars
Face Recognition Systems
Medical Diagnosis
Industrial Quality Check, Object Detection, and Surveillance Systems
Slide7: Computer Vision in Healthcare
Detecting cancer from X-rays.
MRI scan analysis.
Tumor detection.
Disease diagnosis – Helps doctors make faster and accurate decisions.
Slide8: Computer Vision in Security
Face recognition systems.
Biometric authentication.
Smart surveillance cameras.
Crime detection systems used in airports, banks, and mobile phones.
Slide9: Computer Vision in Self-Driving Cars
Detect pedestrians.
Identify traffic signs.
Recognize lanes.
Avoid obstacles. Used by companies like Tesla and Waymo.
Slide10: Advantages of Computer Vision
High accuracy.
Faster processing.
Reduces human error.
Works 24/7 and improves automation.
Slide11: Challenges of Computer Vision
Privacy concerns.
High development cost.
Requires large amounts of data.
May make mistakes in poor lighting or complex environments.
Slide12: Future of Computer Vision
Smarter robots.
Advanced healthcare diagnosis.
Fully autonomous vehicles.
Smart cities and Augmented Reality systems. Computer Vision will become part of daily life.
Slide13: Conclusion
Computer Vision allows machines to see, understand, and analyze visual data.
It enables intelligent decision making.
It plays a major role in Healthcare, Security, Transportation, and Industry.
It is transforming the world around us.
Slide14: Thank You
Thank You!
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