Biometrics technology is used to identify and authenticate a person using a set of recognizable data that is unique to them. After that, a special algorithm compares the scanned image with those stored in the database loaded into the system. Against the backdrop of the increased cyber crimes and terrorism, security and law enforcement are at the forefront of implementing the face recognition technology. The advantages of using the technology are obvious: timely crime detection and prevention. Face recognition is often used alongside other AI technologies such as fingerprint recognition.
Facial recognition technology is quickly becoming the most secure and reliable tool for user authentication. Facial recognition systems use a number of measurements and technologies to scan faces including thermal imaging, 3D face mapping, cataloging unique features also called landmarks , analyzing geometric proportions of facial features, mapping distance between key facial features, and skin surface texture analysis. Facial recognition technology falls under the category of biometrics, or the measurement of biological data. Facial recognition software has a variety of applications, but it's most commonly used for security and law enforcement purposes.
A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analysing patterns based on the person's facial textures and shape. While initially a form of computer application , it has seen wider uses in recent times on mobile platforms and in other forms of technology, such as robotics.
When the investigating detectives submitted the photo to the New York Police Department's NYPD facial recognition system, it returned no useful matches. A Google image search for the actor predictably returned high-quality images, which detectives then submitted to the face recognition algorithm in place of the suspect's photo. There are no rules when it comes to what images police can submit to face recognition algorithms to generate investigative leads. These images may be low-quality surveillance camera stills, social media photos with filters, and scanned photo album pictures. FIS has also used a photo of a New York Knicks player to search its face recognition database for a man wanted for assault in Brooklyn.