Face recognition
Face Recognition is a new technology that allows a computer to identify a person by their image. It utilizes biometrics (underline later provide link), to identify an individuals inherent features. Then, an algorithm is used to process these facial features and other factors such as lighting. This data is then cross-referenced with a database of faces to identify each individual. Although many people have adopted this feature, it has caused many opinions to arise.
Contents
Progress
In recent years, the facial recognition technology has improved significantly. It is being used equally in many different fields, most notably security. Recent developments have even made systems that can recognize differences in identical twins. The 2002 Face Recognition Vendor Test shows that the technology of face recognition capabilities is increasing rapidly. The rate of error in facial recognition has gone down 50 percent according to the test. [1]
3D recognition systems=
As the technology of face recognition is getting more popular, many new features and capabilities are being added to improve these systems. Two brothers, Michael and Alexander Bronstein unlocked a new important feature of facial recognition using 3D technology. Micheal and Alexander Bronstein are Electrical Engineering graduate students. Being identical twins, they understood the common struggle of being mistaken for the other and never being completely secure in their devices that rely on facial recognition. This 3D system is different in that it maps the features of the face rather than treating is as an image or photograph. This technology is even less vulnerable to make up and lighting.
FRVT 2002
The Face Recognition Vendor Test in 2002 is a test that was conducted in 2002 that inspected the accuracy of face recognition and explored areas for future development. The FRVT 2002 tested tested each face recognition system on its ability to identify correctly, verify the right individual, and "watch-list screening" which means that the system must conclude whether the individual is in the database of faces and then identify them as well. The test resulted in a 85 percent identification rate, 96 percent verification rate, and a 77% detection rate for the top few facial recognition systems.
Major Uses
Types of Facial Recognition
There are many different way that Facial Recognition has made itself prominent in our society.
Benefits
Controversy
As technology has improved in the field, many more opinions have also developed. Video surveillance paired with facial recognition has been a major topic of discussion in the past few years. On one hand, it can aid in security on many levels however on the the other hand, many individuals fear that it invade privacy. Because it is easy to put faith in a system that work intuitively, many people have hypothesized the idea of a false positive (underline link). This means that the facial recognition system could falsely identify an individual, allowing them access to someone else's private information or falsely accuse someone of a crime they did not commit. Many individuals also believe that this concept is a violation of the Fourth Amendment (underline link), the right to be free of unreasonable searches and seizures. Because a search is on constituted by suspicious activity, the everyday surveillance of individuals is unlawful. Another concern is the idea that it may be abused by certain people. For example, A parent or spouse could track their child or significant other without their knowledge. This agains addresses the issue of privacy invasion.[2]
