(Solution) If Looks Could Kill Security Experts Reckon The Latest Technology Can Detect Hostile Intentions Before Something Bad Happens. Unless It Is Perfect, | Snapessays.com


(Solution) If looks could kill Security experts reckon the latest technology can detect hostile intentions before something bad happens. Unless it is perfect,


Hi, i need one essay about the comparative analysis of two article( "if looks could kill" and Kaminer, Wendy. "Trading Liberty for Illusions." ). I uploaded two articles and writing requirements, please read carefully. Also please do WPA format and no plagiarism. thank you so much.If looks could kill

 

Security experts reckon the latest technology can detect hostile intentions before

 

something bad happens. Unless it is perfect, though, that may be bad in itself

 

Oct 23rd 2008 | From the print edition

 

MONITORING surveillance cameras is tedious work. Even if you are concentrating,

 

identifying suspicious behaviour is hard. Suppose a nondescript man descends to a

 

subway platform several times over the course of a few days without getting on a

 

train. Is that suspicious? Possibly. Is the average security guard going to notice?

 

Probably not. A good example, then—if a fictional one—of why many people would

 

like to develop intelligent computerised surveillance systems.

 

The perceived need for such systems is stimulating the development of devices that

 

can both recognise people and objects and also detect suspicious behaviour. Much of

 

this technology remains, for the moment, in laboratories. But Charles Cohen, the boss

 

of Cybernet Systems, a firm based in Ann Arbor, Michigan, which is working for

 

America's Army Research Laboratory, says behaviour-recognition systems are getting

 

good, and are already deployed at some security checkpoints.

 

Human gaits, for example, can provide a lot of information about people's intentions.

 

At the American Army's Aberdeen Proving Ground in Maryland, a team of gait

 

analysts and psychologists led by Frank Morelli study video, much of it conveniently

 

posted on the internet by insurgents in Afghanistan and Iraq. They use special object-

 

recognition software to lock onto particular features of a video recording (a person's

 

knees or elbow joints, for example) and follow them around. Correlating those

 

movements with consequences, such as the throwing of a bomb, allows them to

 

develop computer models that link posture and consequence reasonably reliably. The

 

system can, for example, pick out a person in a crowd who is carrying a concealed

 

package with the weight of a large explosives belt. According to Mr Morelli, the army

 

plans to deploy the system at military checkpoints, on vehicles and at embassy

 

perimeters.

 

Guilty

 

Some intelligent surveillance systems are able to go beyond even this. Instead of

 

merely learning what a threat looks like, they can learn the context in which

 

behaviour is probably threatening. That people linger in places such as bus stops, for

 

example, is normal. Loitering in a stairwell, however, is a rarer occurrence that may

 

warrant examination by human security staff (so impatient lovers beware). James

 

Davis, a video-security expert at Ohio State University in Columbus, says such

 

systems are already in use. Dr Davis is developing one for America's Air Force

 

Research Laboratory. It uses a network of cameras to track people identified as

 

suspicious—for example, pedestrians who have left a package on the ground—as they

 


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