Life's becoming a little more difficult for lawbreakers, thanks to
some new digital technologies. For example, British researchers have
developed a fingerprint compression technology that transmits prints
from a crime scene to a fingerprint bureau in a fraction of the typical
four to 20 minutes. The same researchers are working on a technology to
identify shoe impressions taken from crime scenes-a procedure currently
done manually.
Police
in Richmond, Virginia, are introducing data mining, predictive analysis
and business intelligence tools to respond more rapidly to a crime, and
possibly to prevent future crime from occurring. LAPD police are using
video surveillance and criminal recognition software to get a bird's-eye
view of activities in a crime-riddled area.
CompStat
Various
technologies are gaining prominence, such as the somewhat controversial
but highly regarded CompStat. CompStat assists law enforcement
organizations in collecting and organizing crime information quickly.
This, in turn, allows officials to identify emerging patterns in
criminal activity, and allows police agencies to deploy resources more
effectively.
According to BlogHouston.net , proponents describe
this technology as an "advanced statistical analysis of crime aimed at
preventing future crime."
This award-winning program is said to
have reduced crime rates through increased police accountability.
Various law enforcement agencies across the United States, including the
NYPD and the LYPD, use this program to analyze data and plan
crime-prevention tactics. The program apparently played a key role in
the well-documented reduction in crime enjoyed by New York City under
the hand of former mayor Rudy Giuliani.
In With the Old
Sometimes
harnessing the power of crime-fighting technologies involves using
older technologies in new and inventive ways. For example, in late 2006,
New York City announced plans to equip 911 call centers to receive
digital images and digital videos sent from cell phones and computers.
When citizens report a crime in progress, they can simultaneously send
pictures or video of the crime scene, the perpetrator or the victim.
The
digital imagery provides emergency response workers and law enforcement
teams with a better understanding of the situation, and is likely to
offer information not provided by panicked callers. The response teams
can therefore better access the preferred approach to handling the
incident. Empowering citizens to use everyday technology in this way was
a world first, according to Mayor Michael Bloomberg.
In a similar
vein, the New York City is combating domestic violence in part through
the MapInfo Professional mapping software application. This tool allows
law enforcement personnel to better visualize relationships between data
and geography.
The city is also using MapInfo's Mapmaker tool for
mapping and analyzing data and adding geographic coordinates to
database records. A city spokesperson reported that he had imported
miscellaneous, city-based data-such as roadmaps, English proficiency
ratings and homicide rates-into MapInfo, and then overlaid that over a
map of the city to display patterns and trends.
The information
generated by these tools assists the city in deciding how resources
should be allocated. It also reveals information about an area's
cultural makeup and languages most often spoken in that community.
Knowing where domestic violence victims live and the language they speak
allows law enforcement officers to better communicate with victims.
Real-Life Success
These
and other forensic technologies translate into real-life success
stories that impact upon our lives in ways we could not have imagined 20
years ago. For example, in San Jose in October, a man driving a stolen
Toyota kidnapped a 12-year-old girl. The girl escaped and reported the
incident to the police. The kidnapper abandoned the Toyota. Some hours
later, a patrol car using license-plate recognition technology passed
the Toyota. "Stolen car" remarked the technology's computer-generated
voice. The police officer discovered evidence in the Toyota that led to
the arrest of the kidnapper.
Europe and Britain have used
license-plate recognition technology for more than 20 years, but it is
relatively new on the scene in the United States. The police have been
able to enter license plates into a computer manually, but this
technology lets them scan the plate of every car they pass. An officer
can now check as many as 12,000 plates per shift, instead of the 50 that
could be done manually. Although the technology raises concerns with
privacy watchdogs, it is difficult to argue that any privacy violation
occurred in this example.
In another interesting and recent
development, Thai researchers used nanotechnology to develop a set of
eyeglasses that easily detect invisible traces of bodily fluids left at a
crime scene. The scientists applied nano crystallized indium osynitride
to glass or plastic lenses. These special lenses can filter light waves
of various lengths, and allow the user to see invisible traces of
saliva, sperm, blood and lymph immediately.
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