Facial recognition technology works by analyzing the unique facial features of an individual to identify them. The process involves capturing an image of a person's face, mapping key points such as the distance between the eyes, the shape of the nose, and the contours of the jawline. This information is then converted into a mathematical algorithm that creates a facial template. When a person's face is scanned, the technology compares the facial template with a database of stored templates to find a match. This matching process can be done in real-time, allowing for quick and accurate identification. Facial recognition technology is used in a variety of applications, such as unlocking smartphones, airport security, and law enforcement. However, concerns have been raised about privacy and data security, as well as the potential for bias in the technology. Researchers are continually working to improve the accuracy and reliability of facial recognition systems while addressing these ethical considerations.