Haar cascades

Haar cascades are a computer vision technique used for quickly detecting objects, like faces, in images or videos. They work by scanning the image with a series of simple, small patterns called features that analyze differences in light and dark areas. These features are combined into classifiers that efficiently determine whether a region contains the object of interest. The "cascade" aspect means the process quickly dismisses unlikely areas, focusing computational effort on promising regions. Overall, Haar cascades enable fast and accurate object detection, making them popular in applications like face recognition and surveillance.