Face Recognition Technology for Entrance Control Essay

nervus nervus facialisis information engine room refers to a computer driven application that mechanically identifies an individual from his or her digital realize by a comparison of particular facial features in a facial database and in a live image (Vacca, 2007, p. 95). The technology creates a template of peoples facial configurations, such as the lengths of their noses and the angles of their jaws. It thitherby functions like early(a) biometric technologies (e.g. gladiola see) that practise biological features for the purposes of knowledge. correspond to Visionics, a manufacturer of face experience technology, the technology is capable of finding clement faces anywhere in the report of view and at any distance, and it stop continuously track them and graze them out of the scene, matching the face against a watch list (Kautzer, 2002). What is more, facial acquaintance technology is nowadays used for entrance management. Systems are macrocosm designed to automati cally open doors to only those individuals whose facial features are recognisable because they have been fed into those arrangings (Face Recognition Entrance Control System, 2009).But, is there more to face identification technology than meets the eye? In opposite words, is it reasonable to rely on the effectiveness of face erudition technology for entrance control?Description and Uses of Facial Recognition TechnologyIt is inherent brain technology that allows kind-hearteds to recognize fellow human beings. correspond to Bruce & Young (1986), there are face recognition units in the brains of human beings (p. 361). Face recognition involves matching the products of structural encoding, that is, facial features that are spotty by the eye with previously stored structural codes (Bruce & Young, p. 361).Vacca writes that there are triple areas of the face that are primary targets in face recognition because they do not typically change (p. 95). These parts of the face include s peed sections of a persons eye sockets, the part of the face border ones cheekbones, and the sides of the human mouth.Regardless of whether the human brain alike considers these parts of the face most crucial to facial recognition, Vacca explains three antithetic techniques used in man-made face recognition technology, chargely, eigenface systems, eigenfeature systems, and thermal imaging. Eigenface image systems capture facial images and change them to light and dark areas (Vacca, p. 95). In eigenfeature systems, sure features of the face, for example, the eyes and the mouth, are picked out and distances are measured between these features. caloric imaging systems, on the other hand, take thermal images of the human face, focalization on the pattern of blood vessels (Vacca).Even though iris scanning and other kinds of biometric technologies are cognize to be far more accurate than face recognition technology, it is believed that the latter would be more widely certain be cause it is least intrusive. This technology does not require users to push, click, or insert anything into the system, in spite of the fact that it takes many experts to create eigenface, eigenfeature or thermal imaging systems.Moreover, organizations employ the face recognition technology do not require the trigger of anything except a late software application. The cameras already in broadcast as wellhead as pictures of individuals on file are tolerable for organizations that use this technology.Hence, face recognition technology is cheaper than iris scanning, for instance, which requires reading setups (Rutherford, 2001). According to Frances Zelazney, who works as the director of corporate communication at Visionics a leading developer of biometrics yet another advantage of facial recognition technology as compared to other biometric technologies is that facial recognition provides for inherent human backup because we naturally recognize one another If the system goes down, mortal can pull out an ID with a picture as backup, something you cant do with fingerprint devices (Rutherford).Unsurprisingly, facial recognition technology is cognize as the fastest growing biometric technology in our day. Law enforcement agencies and the armament have been successfully using the technology for many geezerhood without the domain being aware of it. In the year 1988, the Los Angeles County Sheriffs Department, Lakewood Division, began using mingled sketches of suspects, as well as ikon images, in order to uphold searches on a database of digital facial shots.The department also has a photo database of sex offenders and plans to find suspects on this database. Then there is the gang Reporting Evaluation Tracking system that can be searched with the use of photos of suspects in order for law enforcement to circumvent false identification tease as well as information that has been presented by gang members (Jarvis). otherwise applications of face recogn ition technology in the area of criminal investigating include the Integrated Law Enforcement Face-Identification System which incorporates a unique three dimensional composite technology to identify angled-view face shots more easily. The system is meant to be very facilitateful in the correct identification of disobliging suspects in addition to subjects that have been caught from a distance using video surveillance cameras.Britain is known to use at least two ampere-second thousand video cameras for surveillance. Many of these cameras are being installed with the facial recognition technology today. Typically these systems use computers to monitor cameras that are looking for recognised criminals. As soon as the system is seen to identify a known criminal, the police are called (Jarvis). in that respect are numerous United States embassies round the world that are using the face recognition technology to dungeon criminals from entering the country. The Israel-Palestine borde r control is similarly using the technology to curve crime (Jarvis). IQ Biometrix, established in 2001, was a company providing help to thousands of law enforcement agencies around the world with the FACES , a groundbreaking software prick allowing users to create and recreate billions of face shots, as well as encode, enrolment and transmit them.The technology incorporated a facial composite apparatus that the FBI and the CIA also used. The United States Department of Defense, the U.S. Navy, and various local as well as state police agencies had similarly opted for this groundbreaking system of facial recognition (IQ Biometrix).Given the importance of putting a name to a face in law enforcement, whether it is to solve crimes, protect the public, or to ensure security in jails, face recognition technology is proving itself to be of tremendous value. Sheriff Everett Rice with the Pinellas County Sheriffs Office in Florida employs the Viisage face recognition technology to positiv ely identify and verify individuals (Facial Recognition in Action, 2007). Some of these individuals have been recently arrested while others are about to be released. So far, application of the technology has been successful, and users of the technology believe that it would have a greater impact on crime control in the years to come (Facial Recognition in Action). The following is a detailed account of the case being consideredApplication of face recognition technology by the Pinellas County Sheriffs Office is a model for other agencies involved in criminal investigation. The Pinellas County Sheriffs Office has applied the new technology in other ways as well. As an example, the Sheriffs Office has expanded use of the technology to its patrol cars to allow avenue deputies to identify those individuals that have been stopped and are unable to produce identification.There are workstations in the Pinellas Country where investigators may use face recognition technology to compare imag es that have been acquired in investigations. This system allows for search of at least two million images within ten seconds. What is more, this browser ground system is available in the cars of deputies that patrol the streets of the Pinellas County (Facial Recognition in Action). Report on the use of face recognition technology for law enforcement in the Pinellas County continues thus