An Introduction to Artificial Intelligence Vision Systems
Slide2: Introduction to Computer Vision
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. 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
1. Image Capture using cameras.
2. Image Processing to enhance quality.
3. Feature Extraction to find important details.
4. Pattern Recognition and Decision Making using Machine Learning and Deep Learning algorithms.
Slide5: Key Technologies Used
1. Machine Learning – Computers learn from data.
2. Deep Learning – Uses Neural Networks.
3. Convolutional Neural Networks (CNN) – Specialized for image recognition.
4. Image Processing – Enhancing and analyzing images.
Slide6: Applications of Computer Vision
Self-Driving Cars
Face Recognition Systems
Medical Diagnosis
Industrial Quality Check, Object Detection, Surveillance Systems
Slide7: Computer Vision in Healthcare
Detecting cancer from X-rays.
MRI scan analysis.
Tumor detection.
Disease diagnosis with high accuracy. Helps doctors make faster decisions.
Slide8: Computer Vision in Security
Face recognition systems.
Biometric authentication.
Smart surveillance cameras.
Crime detection systems used in airports, banks, and smartphones.
Slide9: Computer Vision in Self-Driving Cars
Detects pedestrians.
Identifies traffic signs.
Recognizes lanes.
Avoids 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 and understand the world.
It analyzes visual data intelligently.
It makes smart decisions.
It plays a major role in healthcare, security, transportation, and industry.
Slide14: Thank You
Thank You!
Any Questions?
Computer Vision – The Future of AI Vision Systems
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