This document provides an introduction to computer vision and image processing. It discusses how computer vision uses cameras and computers to obtain information from images in areas such as recognition, modeling objects, and interaction. Some important applications of computer vision are discussed such as industrial processing, robotics, monitoring, document analysis, and medical imaging. The document also demonstrates some hands-on practices for computer vision processing including real-time shape detection and RGB color picking.

1. COMPUTER VISION Processingmachines that see

2. IntroductionThe theory for building artificial systems that obtain information from Images.The construction of vision for computer systems by image analysis .Computer Vision = Camera + Computer + ?Recognition

3. IntroductionControlling processes -> An industrial robot vehicle

4. Detecting Events -> for visual surveillance or people counting

5. Organizing Information -> for indexing databases of images

6. Modeling objects -> medial image analysis

7. Interaction -> input to a device for computer-human interactionRecognitionPattern Recognition

8. Object Recognition

9. Motion Recognition

10. Optical Character Recognition

11. Face Recognition

12. State (Event) RecognitionHow it works ?

13. How it works ?Object Recognised

14. How it works ?Center of Object Recognised

15. How it works ?Shape Recognised