Facial recognition software relies on technologies such as machine learning, artificial intelligence, and computer vision. These technologies work together to analyze and interpret facial features captured by cameras. The software identifies distinguishable characteristics and matches them against a database of known faces, allowing for recognition. It typically employs algorithms that learn from large datasets to improve accuracy over time. Applications include security systems, social media tagging, and personalized experiences, making it a powerful tool in various sectors.