The Sobel Filter is an image processing technique used to detect edges in images. It works by applying a pair of convolution kernels, one for detecting horizontal edges and another for vertical edges. This helps highlight areas where there is a significant change in pixel intensity, making it easier to identify shapes and boundaries within an image. The filter is named after Irwin Sobel, who developed it in the 1960s. It is commonly used in various applications, including computer vision, robotics, and image analysis, as it provides a simple yet effective way to enhance edge features in digital images.