A facial recognition system is a computer-driven application used to automatically identify or verify a person’s identity using their face. This technology[1], which started taking shape in the 1960s, works by comparing selected facial features from a digital image or a video with faces within a database. It has wide-ranging applications including in law enforcement, video surveillance, passenger screening, and human-computer interaction. However, its use has raised concerns about privacy[2] violations, incorrect identifications, and potential for abuse like deepfakes. The technology continues to evolve, with advancements like 3D sensors and new detection frameworks improving its accuracy. Despite controversies, facial recognition systems are actively deployed worldwide, subject to varying levels of legislation and regulation.
This article's factual accuracy may be compromised due to out-of-date information. (June 2022) |
A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image.
Development began on similar systems in the 1960s, beginning as a form of computer application. Since their inception, facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics. Because computerized facial recognition involves the measurement of a human's physiological characteristics, facial recognition systems are categorized as biometrics. Although the accuracy of facial recognition systems as a biometric technology is lower than iris recognition, fingerprint image acquisition, palm recognition or voice recognition, it is widely adopted due to its contactless process. Facial recognition systems have been deployed in advanced human–computer interaction, video surveillance, law enforcement, passenger screening, decisions on employment and housing and automatic indexing of images.
Facial recognition systems are employed throughout the world today by governments and private companies. Their effectiveness varies, and some systems have previously been scrapped because of their ineffectiveness. The use of facial recognition systems has also raised controversy, with claims that the systems violate citizens' privacy, commonly make incorrect identifications, encourage gender norms and racial profiling, and do not protect important biometric data. The appearance of synthetic media such as deepfakes has also raised concerns about its security. These claims have led to the ban of facial recognition systems in several cities in the United States. Growing societal concerns led social networking company Meta Platforms to shut down its Facebook facial recognition system in 2021, deleting the face scan data of more than one billion users. The change represented one of the largest shifts in facial recognition usage in the technology's history. IBM also stopped offering facial recognition technology due to similar concerns.