i3 - May/June 2019 - 31

FRT has established itself as a viable and often vital technique.
for health care applications (28 percent).
● Millennials are more likely than other
generations to say they haven't been the
victim of a data breach (46 percent).
Generation X is more likely than any
other generation to have been the victim
of a data breach (47 percent).

DRAMATIC TECH IMPROVEMENTS

The ongoing policy tension about expanding facial recognition and other biometric
technologies corroborates the impact and
improvements throughout the category.
For example, the recent NIST analysis
found that all of the top-performing algorithms use machine-learning software
architectures called "convolutional neural

C TA . t e c h / i 3

networks." Patrick Grother, a NIST
computer scientist and one of the
report's authors, observed that the results
underscored the advancements in
the technology.
"The test shows a wholesale uptake by
the industry of convolutional neural networks, which didn't exist five years ago,"
Grother said. "About 25 developers have
algorithms that outperform the most
accurate one we reported in 2014." But he
added, "There remains a very wide spread
of capability across the industry."
Separately at CES 2019, dozens of
companies exhibited devices and systems that use FRT for biometric tracking of products ranging from home and

family security to health monitoring.
Sensory, a Santa Clara-based firm, demonstrated applications of its technologies (face authentication, voice and
speech recognition) that have been
licensed into more than one billion consumer electronics devices.
iLumintel, based in Chengdu, China,
and San Jose, CA, showed its 3D behavior
recognition technology "iLu-IDTracer," a
3D facial image capture and behavior recognition "tracking people flow" system,
which goes beyond static mug shots. The
system can follow individuals in any complicated environment, such as monitoring
employees moving around a store or stockroom or keeping track of a customer's entry
and exit times and browsing behavior/pattern while in the store.
RealNetworks, known for its music
and other technologies, has been developing SAFR (pronounced "safer") -
Secure, Accurate Facial Recognition
- and began offering it for free to kindergarten through 12th grade schools
last year. It is an off-shoot of the company's RealTimes app that lets customers build photo slide shows. The
technology maps 1,600 data points on
every face and took more than two years
to develop. In the process, RealNetworks
also spent three years to identify eight
million faces for SAFR and more than
eight billion data points, with an eye
toward increased school safety.
Elsewhere, products such as Apple's
iPhone X "Face ID" exemplify the rapid
improvements in 3D facial recognition.
The iPhone's infrared camera collects data
from more than 30,000 invisible dots on
a face to confirm a face; then its software
can recognize a face in various lighting
conditions and from different angles as
well as with changes such as wearing sunglasses or changing your hairstyle.
Facial recognition technologies inevitably trigger discussions that go beyond
their impressive capabilities. Given the
global attention to such security, safety
technologies, especially in politically sensitive areas such as China, the current
focus by U.S. policymakers is part of the
eye-popping process. 
MAY/JUNE 2019

31


http://CTA.tech/i3

i3 - May/June 2019

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