PoseNet is a machine learning model developed by Google that can detect human poses in images and videos. It identifies key points on the body, such as the head, shoulders, and knees, allowing for real-time tracking of human movements. This technology is useful in various applications, including fitness apps, augmented reality, and interactive gaming. The model operates efficiently on both mobile devices and web browsers, making it accessible for developers. By providing a lightweight solution for pose estimation, PoseNet enables innovative features in applications, enhancing user experiences through motion analysis and interaction.