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Computer vision is a field of artificial intelligence that uses digital image processing techniques to analyze visual content and understand scenes. The goal is to extract meaningful information from digital images and emulate some of the capabilities of human vision such as object recognition. Computer vision has applications in security, human behavior analysis, optical character recognition, special effects in movies, face filters in social media, autonomous vehicles, and scene formation. OpenCV is a popular open source library for computer vision that is written in C++ but can be used with other languages like C#, Java, and Python.










Introduction to computer vision as a field of AI focusing on understanding digital images and mimicking human vision.
Overview of image representation in computer vision, detailing image processing tasks like scaling, object detection, and motion analysis.
Various applications of computer vision including security, OCR, smart cars, and special effects in media.
Introduction to OpenCV as an open-source computer vision library available in multiple programming languages.
Closing remarks of the presentation.