Facial recognition uses machine learning algorithms to map a person’s facial features, matching their unique characteristics to data points stored in a database. This biometric software can be used to identify or authenticate a person’s identity in a live capture or a digital image. It can do this quickly, accurately, and, unlike other biometric systems, from a distance without making physical contact. Facial recognition systems are driven by convolutional neural networks, a class of artificial neural networks.
Facial recognition is primarily used to provide security through identity authentication, but it is increasingly being used in other, innovative deployments. Retailers have begun using face recognition to catch and deter shoplifters. Financial institutions have created mobile banking apps that use the technology to verify users’ identities. Even healthcare organizations are exploring new ways to use facial recognition to improve the patient experience.