A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services , works by pinpointing and measuring facial features from a given image. Development began on similar systems in the s, 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 and fingerprint recognition, it is widely adopted due to its contactless process. Facial recognition systems are employed throughout the world today by governments and private companies. 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. These claims have led to the ban of facial recognition systems in several cities in the United States. Automated facial recognition was pioneered in the s. Their early facial recognition project was dubbed "man-machine" because the coordinates of the facial features in a photograph had to be established by a human before they could be used by the computer for recognition.
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Governments and corporations are tracking how we go about our lives with a unique marker that most of us cannot hide or change: our own faces. Across the country, communities are pushing back with laws that restrain this dangerous technology. In response, some governments and corporations are claiming that these laws should only apply to some forms of face recognition, such as face identification, and not to others, such as face clustering. We disagree. All forms of face recognition are a menace to privacy, free speech, and racial justice. This post explores many of the various kinds of face recognition, and explains why all must be addressed by laws. At the most basic level, face recognition technology takes images of human faces and tries to extract information about the people in them. First, the image is automatically processed to identify what is and is not a face.
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Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. It can be used for everything from surveillance to marketing.
Users can rapidly pinpoint people of interest, create scalable watchlist management and powerful rule configuration for real-time alerts in critical, time-sensitive situations using external image sources, digital images extracted from video, and pre-defined watchlists. The ability to detect, track, extract, classify, catalog and alert on persons-of-interest appearing in video surveillance footage in real-time or forensically and across cameras enable situational awareness for safety, security and operational efficiency. Face Recognition solutions should be utilized alongside human validation methods and always used responsibly and ethically. Face Recognition as part of an innovative and extensible Video Content Analytics platform, enables a robust portfolio of fully integrated video analytics capabilities. Facial recognition technology provides another way for municipalities and organizations to leverage face matching capabilities for safety, security and operational efficiencies. Users can:. BriefCam does not store personal information on individuals either by itself or through its users. Menu Search. Users can: Utilize external image sources, digital images extracted from video, and pre-defined watchlists Create scalable watchlist management and powerful rule configurations Generate real-time alerts in critical, time-sensitive situations.
