Face recognition works by detecting faces in an image or video and comparing them to stored templates. Algorithms extract features, such as distances between facial landmarks, and encode them into a numerical representation called an embedding. This embedding is matched against a database to identify or verify individuals.
The safety of face recognition depends on factors like accuracy, data privacy, and secure storage of facial data. Modern systems employ encryption and access controls to mitigate risks. However, concerns like biases in datasets or potential misuse require careful consideration.
Despite its advantages, such as convenience and enhanced security, ensuring ethical and fair use is critical for safe deployment.