NEC Solution Identifies Boston Marathon Bombing Suspect in Simulation by MSU

  NEC Solution Identifies Boston Marathon Bombing Suspect in Simulation by MSU

MSU Study Validates Accuracy and Crime Solving Benefits of Facial Recognition
    Technology and Raises Question of “What If?” this Breakthrough Facial
 Processing Software had been applied to Solve Recent High Profile Incidents

Business Wire

IRVING, Texas -- June 18, 2013

NEC Corporation of America (NEC), a leading provider and integrator of
advanced IT, communications, managed services and biometric solutions, today
announced its NeoFace® Facial Recognition Software solution achieved high
accuracy in an independent study conducted by Michigan State University (MSU)
and was able to identify a suspect from the recent Boston Marathon Bombing in
the same study that simulated the post-bombing forensic work.

The MSU study’s focus was to examine the reliability of automated facial
recognition (AFR) software to assist law enforcement in identifying suspects
in a simulation of the forensic work done after the Boston Bombings. Media
reports of the post-Boston Bombing investigation created a common perception
that facial recognition technology is not always reliable because it
apparently was not a factor in identifying the suspects. The published results
of the MSU study challenge this perception.

In the MSU simulation, researchers used actual law enforcement video from the
bombing and searched it against a background database of 1 million law
enforcement booking images. They found that the NEC NeoFace product produced a
“rank one” identification—a match—of suspect number two.

“As conditions in the study were simulated to be representative of actual
crime scene situations, including the limited, poor quality images available
to the investigators of the Boston Marathon Bombings, the strong performance
of the NEC solution is significant,” said Raffie Beroukhim, vice president of
NEC’s Biometrics Solutions Division.

The MSU study found that the NEC NeoFace solution consistently registered
highly accurate facial matching scores in the study’s simulation.

The MSU technical paper on evaluating automatic facial recognition technology
can be accessed at: http://www.cse.msu.edu/rgroups/biometrics/

© 2013 NEC Corporation of America. NEC and NeoFace are a registered trademark
of NEC Corporation. All Rights Reserved. Other product or service marks
mentioned are the trademarks of their respective owners.

Contact:

NEC Corporation of America
Frank Puglia, 214-262-3767
frank.puglia@necam.com
 
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