Tech Briefs Magazine - November 2021 - 46

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and VisionLib. This works well for regular
and/or smaller and simpler objects
such as hands, faces, cups, tables, chairs,
wheels, regular geometry structures, etc.
However, for large, complex objects in
enterprise use cases, labeled training
data (more so in 3D) is not readily available.
This makes it difficult, if not impossible,
to use the 2D image-based tracking
to align, overlay, and persistently track
the object and fuse the rendered model
with it in 3D.
Enterprise-level users are overcoming
these challenges by leveraging 3D environments
and AI technology into their
immersive mixed reality design/build
projects. Deep learning-based 3D AI
allows users to identify 3D objects of
arbitrary shape and size in various orientations
with high accuracy in the 3D
space. This approach is scalable with
any arbitrary shape and is amenable to
use in enterprise cases requiring rendering
overlay of complex 3D models and
digital twins with their real-world counterparts.
A
Carlyle Johnson Company
centritecseals.com
860-643-1531
Free Info at http://info.hotims.com/79419-743
Cov
This can also be scaled to register with
partially completed structures with the
complete 3D models, allowing for ongoing
construction and assembly. Users
achieve an accuracy of 1 to 10 mm in the
object registration and rendering with
this platform approach. The rendering
accuracy is primarily limited by the
device capability. This approach to 3D
object tracking will allow users to truly
fuse the real and virtual worlds in enterprise
applications, opening many uses
including but not limited to training with
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ToC
work instructions, defect and error de -
tection in construction and assembly,
and 3D design and engineering with lifesized
3D rendering and overlay.
Working in Cloud Environments is
Critical
Manufacturers should be cautious in
how they design and deploy these technologies
because there is great difference
in the platforms they are built on
and maximized for use. Even though
technologies like AR/VR have been in
use for several years, many manufacturers
have deployed virtual solutions that
are built upon an on-premise environment,
where all the technology data is
stored locally.
On-premise AR/VR infrastructures
limit the speed and scalability needed
for today's virtual designs and limit the
ability to conduct knowledge sharing
between organizations that can be critical
when designing new products and
understanding the best method for virtual
buildouts.
Manufacturers today are overcoming
these limitations by leveraging cloudbased
(or remote server-based) AR/VR
platforms powered by distributed cloud
architecture and 3D vision-based AI.
These cloud platforms provide the
desired performance and scalability to
drive innovation in the industry at speed
and scale.
This article was written by Dijam Panigrahi,
Co-founder and COO of GridRaster Inc.,
Mountain View, CA. For more information,
visit http://info.hotims.com/79419-121.
Tech Briefs, November 2021
http://info.hotims.com/79419-743 http://info.hotims.com/79419-121 http://www.techbriefs.com http://info.hotims.com/79419-902
Tech Briefs Magazine - November 2021

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