Face detection is a technology that identifies and locates human faces in images or videos. It uses algorithms to analyze visual data and distinguish facial features, such as eyes, nose, and mouth. This process is essential for various applications, including security systems, social media tagging, and user interaction in devices. The technology relies on machine learning and computer vision techniques to improve accuracy. By training on large datasets of faces, systems can recognize different expressions, angles, and lighting conditions. Popular frameworks for face detection include OpenCV and Dlib, which are widely used in both research and commercial applications.