Facial Landmark Detection is a technology that identifies specific points on a person's face, such as the eyes, nose, and mouth. These points help in understanding the facial structure and expressions. This process is commonly used in applications like facial recognition, emotion detection, and augmented reality. The detection is typically achieved using algorithms that analyze images or video frames. By locating these landmarks, systems can perform tasks like tracking facial movements or enhancing images. This technology plays a crucial role in various fields, including computer vision, biometrics, and human-computer interaction.