to check the viability of its product in
this bigger, more lucrative market.
Since working with automotive
OEMs, new applications have arisen.
One of the big ones was that they
wanted to be able to detect damage
to or anomalies on the exterior
surfaces of the vehicle, not just the
undercarriage.
“It grew tremendously,” Oren
states. “we were able to take the
same technology from the software
point of view and build hardware for
the exterior of the vehicle to detect
anomalies. These could include
damage like dents, scratches, hail
damage, alignment problems. Then
we started working with OEMs, and
big eets until we reached the point
today where UVeye is working with
a few OEMs around the world for
assembly line inspection, end-of-line
inspection, some in-line inspection
for parts, and we provide systems for
the aftermarket.”
This necessitated the development
of Atlas, UVeye’s 360° exterior
inspection system. More recently
the company announced, Artemis, a
tyre inspection system. This is able
to detect under-in ation and any
other anomalies that can become a
serious safety concern, especially
as tyre failure is the leading cause
of car crashes worldwide. Artemis
can compare the same tyre within
10,000km, 20,000km or 100,000km
and predict maintenance issues.
“Our technology is based on a
few layers,” explains Oren. “The
bottom layer is the proprietary
hardware which is not something
that we develop ourselves in the
sense that we do not develop new
sensors, or new cameras, or new
lighting models. We take these
off the shelf. On top of that, we
have a few layers of data
processing that takes a
huge amount of data and
separates it into chunks
that the deep learning
engine can work with.
“On top of that, this is the most
important part of what UVeye does,
deep learning, or the AI engine, a
set of algorithms that we use from
computer vision, machine learning,
classic image processing, and of
course, deep learning to be able to
provide visual anomaly detection on
different levels on different accuracy
and resolution.
“This all sits on our cloud
architecture that allows the
collaboration of the data between the
different inspection points.”
The move to the cloud has been
a necessity because of the massive
increase needed in computing
power, going from security
applications where resolution wasn’t
an issue as the anomalies that need
locating are large and bulky, to
the consumer market where it’s
UVEYE
APPLICATIONS
There are a vast number of industries
that require Under Vehicle Inspection
Systems (UVIS). For example:
■ The entrance to prisons – to
prevent smuggling and other
unlawful activities
■ Border control – news headlines
are lled with stories of the
shocking lengths smugglers
are prepared to go to in order to
sneak people across borders
■ Special occasions – such as
diplomatic visits where checking
vehicles for suspicious objects is
crucial
■ The entrance to airports,
diplomatic embassies,
seaports, power plants, military
bases and even shopping mall
or hotel car parks
looking for tiny scratches and part
discrepancies.
In future, Oren says that the system
could be used in all areas of mobility,
such as trains, subways and aviation.
However, the short-term goal for the
company is to concentrate on growth
and R&D in the automotive market.
To this end, the company raised
$31 million (£25m) in July, led by
Toyota Tsusho, Volvo Cars W.R.
Berkley Corporation and other
partners. Amir Hever, UVeye’s CEO
says: “This is an important signal
that we believe paves the way for
UVeye to become the standard of
automotive inspection and safety. We
are delighted to have world-class
companies in their respective sectors
endorse our game-changing auto
scanning solution.” !
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