Facial recognition systems utilize several key technologies, including machine learning, image processing, and artificial intelligence (AI). These systems analyze facial features by converting images into data points and comparing them to a database of known faces. Techniques such as deep learning enhance the accuracy of facial recognition by improving feature extraction and classification processes. Additionally, neural networks are often employed to boost recognition capabilities. Together, these technologies enable facial recognition systems to identify and verify individual identities in various applications, from security and surveillance to personalized user experiences.