Legal issue around Visual Computing

Legal issue around Visual Computing

Computers and visual computing command an ever expanding and prominent role in the world, and are constantly evolving. Thus, various international governments are fraught with enacting appropriate legislation associated with protection of computer visual recognition. This paper, inspired and oriented by the Visual Computing session, will attempt to list out the possible legal issues of visual computing.

1. The autotrack: A wonderfully miraculous vehicle which successfully drives almost (98% of the roads) automatically. It uses the face and obstacles recognition device to stop on time by itself. Though successfully travel throughout USA, it causes a lot of legal issues. For example, in case unfortunately the truck hits somebody or something, it is not exactly judged who is to blame. It will mess the law up as no one directly operates the machine.
So the car is not widely spread now, for security and legal issues.

2. The camera face recognition and the video-recording system of some universal company (Google…) Though useful in controlling the street and criminal-proof, the thing has aroused First, privacy are seriously affected. Some people had sued the company for making their life public, disturbed and having to move to another place, where there are not any camera-related things.
Second, any captured scene in the street may be very legally confused. Several actions can be mistaken as criminal and otherwise.

3. More about Facial Recogition:
Facial Recognition Technology’s Recent History
Robust face recognition requires the ability to recognize identity despite many variations in appearance that the face can have in a scene.

Since its introduction to the American public in 2001, facial recognition
technology has grown rapidly and interest in these systems is increasing. Facial recognition systems are computer-based security systems that are capable of identifying specified individuals with the use of surveillance cameras. Complex algorithms are used by these systems to compare the faces observed by these camera systems with a database of individual photographs. This allows individuals to monitor other individuals who come into the camera‟s recording range.

The facial recognition process starts by collecting an image from specified security cameras. The system then measures the nodal points on the face such as the distance between the eyes, the shape of cheekbones, and other distinguishable features. The nodal points are then compared to the nodal points computed from a database of pictures in order to find a match.

Although the technology is being used by many different organizations, a number of issues surround its installation and use. Current facial recognition technology is very inaccurate and has shown to have little or no effect in areas where it was implemented. Inaccuracies have led to a number of false identifications that have been found to harm individuals. These inaccuracies can be attributed to many factors including image quality, variations in light and appearance of individuals, and the size of the photograph database. Not only are these systems ineffective, they are making false identifications and many other ethic problems.