Face Recognition Technology To Augment Security Measures At The Sporting Event Essay

Facial lore engineering refers to a data processor driven action that automatically identifies an individual from his or her digital image by a analogy of particular facial features in a facial database and in the live image ( slip experience, 2007). The engineering creates a template of heaps facial configurations, such as the lengths of their noses and the angles of their jaws. It thereby functions like the former(a) biometric technologies (e. g. sword lily s keepning) that use biological features for the purposes of realisation.According to Visionics, a manufacturer of compositors case fruition technology, this technology is opened of finding human faces anywhere in the field of view and at any distance, and it can interminably track them and crop them out of the scene, matching the face against a watch list (Kautzer). While iris scanning and other kinds of biometric technologies are known to be far more accurate than the face recognition technology, it is believed th at the latter would be more widely accepted because it is least intrusive.The technology also does non pray users to push, click, or insert anything into the organization. Moreover, companies using the face recognition technology do not require the generalization of anything except the new software application. The cameras in place as thoroughly as the pictures of their employees on single file are enough for companies that use the technology. Hence, face recognition technology is cheaper for organizations than the iris scanning, for instance, which requires reading setups.According to Frances Zelazney of Visionics, except another advantage of facial recognition technology as compared to the other biometric technologies is that unlike other biometrics, facial recognition provides for inherent human backup because we naturally recognize one another If the system goes down, someone can pull out an ID with a picture as backup, something you cant do with fingerprint devices (Ruthe rford, 2001). Unsurprisingly, facial recognition technology is known as the fastest growing biometric technology in our solar day.Law enforcement agencies and the host amaze been using the technology successfully for many years without the public being aware of it. In the year 1988, the Los Angeles County Sheriffs Department (Lakewood Division) began using composite sketches of suspects, as well as video images, in order to conduct searches on a database of digital facial shots. The department also has a motion-picture show 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 cards as well as information that has been presented by gang members (Jarvis). There are numerous coupled States embassies around the world that are already using the face recognition technology to keep crimin als from submission the country. The Israel-Palestine border control is similarly equipped with the technology to reduce crime across the border (Jarvis).IQ Biometrix, established in 2001, is a company providing help to thousands of law enforcement agencies around the world with the FACESTM, which is a modern software tool allowing for the creation and recreation of billions of facial images, as well as their encoding, cataloging and transmitting. The technology incorporates a facial composite tool that the FBI and the CIA also use. The United States Department of Defense, the U. S. Navy, and various local as well as state police agencies throw away similarly opted for this groundbreaking system of facial recognition (IQ Biometrix, 2004). tending(p) the importance of putting a name to a face, whether it is to solve crimes, protect the public, or to ensure aegis in jails, face recognition technology is proving itself to be of tremendous value. Sheriff Everett Rice along with the Pinellas County Sheriffs bureau in Florida employs the Viisage face recognition technology to positively identify and verify individuals. Some of these individuals have on the nose been recently arrested, while others are about to released. The face recognition technology is also of use with people that visit the courthouse.So far, the application of the technology has been successful, and users of the technology believe that it would have a greater preserve on crime control in the years to come (Facial Recognition, 2007). The United States Department of Defense, with its concentrate on on perfecting the face recognition technology to spot criminals at the borders of the nation, had been funding scientists research on the technology for more than decade. Private companies were similarly convinced that the face recognition technology could help dramatically in combating crime within the borders of the United States.Because of their belief, the marketing of the technology became widespread during the mid-1990s (Rutherford). Then came 9/11 the day that changed the guarantor concerns of the entire world in the matter of only a few hours. There was increase interest in face recognition technology following the terrorist attacks on the American soil. Although the Americans had viewed the face recognition technology with skepticism before the attacks, they became confident that widespread use of the new technology in security as well as public safety would help protect them from similar attacks in future.Indeed, the face recognition technology could play an important role in the pr incidention of tragedies. All the same, law enforcement agencies have discovered that in the areas covered by the new technology, no terrorist has ever been identified. What is more, despite the redoubling of efforts to create unspoilt face recognition systems after 9/11, the technology suffers from problems. The facial recognition technology faces a difficulty, for example, in th e recognition of the effects of aging.Digitally compared photos of individuals that had been taken eighteen months apart produced untrue rejections by the software application at least forty three percent of the time. Furthermore, it has been found that the technology is more successful when apply by casinos to identify cheaters in welfare offices and by drivers license bureaus, given the union of lighting and the use of the same cameras in these places (Jarvis OHarrow, 2001).Seeing that the face recognition technology is not fool proof, albeit useful and security experts have confirmed this it is best to use it at the sporting event only to augment security measures. The new technology can help security personnel at the sporting event to spot terrorists, for instance. However, face recognition technology should not be considered a substitution for traditional security measures by any means. What is more, this technology is easy to use, and security personnel would not have a d ifficult time installing and working through the system.Hence, the use of face recognition technology at the sporting event is definitely recommended as a boost to the traditional security measures. References Face Recognition System. (2007). Wikipedia. Retrieved 25 August 2007, from http//en. wikipedia. org/wiki/Facial_recognition_system. Facial Recognition in Action. (2007). Penton Media. Retrieved 25 August 2007, from http//govtsecurity. com/current/. Jarvis, A. ar Privacy Rights of Citizens Being Eroded Wholesale? Forensic Evidence.Retrieved 25 August 2007, from http//forensic-evidence. com/site/ID/facialrecog. html. Kautzer, C. Face Recognition technical schoolnology. ZMAG. Retrieved 25 August 2007, from http//www. zmag. org/ZMag/articles/march02kautzer. htm. OHarrow, R. (2001, August 1). Matching Faces With Mug Shots. Washington Post, p. A01. Rutherford, Emelie. (2001, July 17). Facial Recognition Tech Has People Pegged. CNN. Retrieved 25 August 2007, from http//www. cnn. com /2001/TECH/ptech/07/17/face. time. idg.