OpenCV (Open Source Computer Vision Library) is one of the most popular open-source libraries for computer vision and image processing. It is written in C++ but provides easy-to-use bindings in Python, making it the first choice for developers, researchers, and AI enthusiasts.
Resizing, filtering, edge detection, and color transformations.
Used in security systems, biometrics, and attendance systems.
Object detection and lane detection in self-driving cars.
Augmented reality apps use OpenCV for real-time tracking.
In summary, OpenCV is the backbone of computer vision. From image processing to face detection and AI-powered applications, it is widely used in healthcare, robotics, automotive, and security industries. In the next lesson, we will learn how to install OpenCV in Python and set up our environment.