The
#AIEye #Podcast - GBT’s (OTC: $GTCH) CTO Discusses How Apollo Computer Vision
Technology Augments #AutonomousDriving and has Potential in Many Domains
#Stocks
discussed: (OTCPINK: $GTCH) (NYSE: $XPEV) (NasdaqGS: $MBLY)
Vancouver, Kelowna, Delta, BC – November 23, 2022 –
Investorideas.com (www.investorideas.com), a global investor news source covering
Artificial Intelligence (AI) stocks
releases a special edition of the AI Eye podcast surveying the computer vision
market with an emphasis on its application in autonomous vehicles, featuring an
interview with AI innovator GBT Technologies Inc. (OTC PINK:GTCH).
Listen
to the podcast:
https://www.investorideas.com/Audio/Podcasts/2022/112122-AI-Eye.mp3
Read this in full
at https://www.investorideas.com/news/2022/artificial-intelligence/11231GTCH-Apollo-Computer-Vision.asp
Watch
the video on Youtube:
https://www.youtube.com/watch?v=v36rsPX71Tw
Investorideas.com recently spoke with Danny Rittman,
CTO of GBT Technologies Inc. (OTC PINK:GTCH), regarding the company’s
intelligent, wireless, motion detection patented computer vision technology,
codenamed “Apollo.” Rittman and GBT have recently been engaged in testing Apollo,
using simulations, to identify obstacles on train tracks. Rittman explained
that Apollo’s scope of applicability extended beyond even this.
“One of the main things that Apollo can do very well is
obstacle detection,” Rittman said. “That isn’t limited to obstacles on train
tracks, but applies to cars, motorcycles, underwater, and everywhere.”
“Anything a human can’t see, or doesn’t see well from
afar, the Apollo can see very quickly, get an alert and even take some action
itself,” he added. “This also applies to autonomous vehicles.”
Apollo works by sending electromagnetic waves through
the air, receiving reflections from objects and living entities, and basically
analyzing this information to construct 2D or 3D images.
“It basically shoots radio waves to the scanned area,
analyzes the reflections that return using an advanced neural network software,
and constructs a 3D-image of the scanned area,” Rittman said. “Because Apollo
can detect very small volumetric changes, it can easily identify living
entities, stationary objects, shapes etc… Because it has been trained to
identify objects and situations, it can also quickly [issue] alerts after
scanning the area and getting the information.”
While the company’s recent testing highlights its
usefulness in transportation, its applicability extends to healthcare,
security, and many other domains as well. Rittman described the convenience and
efficacy of Apollo in different areas.
“It’s wearable-less, so people do not have to wear
anything,” he said. “You just put a box in the room, it’s about the size of a
router. It can [also] see in the dark, count people in a conference room, be
installed at an airport and detect concealed objects, identify facial
features.”
A report published by Allied Market Research finds that globally, the
market for computer vision is projected to grow from about $10.8 billion USD in
2021 to roughly $41.1 billion by 2030, registering a compound annual growth
rate (CAGR) of 16 percent from 2020-30. The following excerpt from the report’s
summary outlines some instances of the growing breadth of the market:
“Computer
vision applications in the past few years have expanded into various industries
and are expected to continue this trend further in the coming years as well.
Applications such as facial recognition technology, have been popularized in
both public and private sectors as [it’s] being adopted in the common lives of
users, thereby creating a lucrative scope for the overall market growth.
Moreover, newer applications like product/content discovery systems popularized
in the online retail industry are leveraging computer vision systems to help
customers’ products on the basis of user submitted images.”
Elsewhere in the autonomous vehicle space, XPeng Inc. (NYSE:XPEV),
a Chinese electric vehicle (EV) firm, recently unveiled a series of mobility technologies at
its fourth annual 1024 Tech Day held at its headquarters in Guangzhou. This
included its “next-generation neural network-based perception architecture,
closed-loop AI and data management platform, industry leading voice and smart
cabin technologies, and the latest developments in its mobility ecosystem,
including latest robotaxi, flying car and robotics endeavors.” Xinzhou Wu, Vice
President of Autonomous Driving of XPENG, explained:
"Our
rollout of the City NGP (Navigation Guided Pilot) pilot program in September
represented a decisive milestone in the second half of the race to the autonomous
driving end-game. Enhancing customer experience through innovation is our
ultimate goal. We are implementing the most advanced driver assistance in
mass-produced vehicles in complex urban driving environments, a huge leap
forward as we work to build our autonomous driving capabilities.
More recently, autonomous driving firm Mobileye Global
Inc. (NasdaqGS:MBLY), announced that the all-electric multi-purpose
vehicle (MPV) ZEEKR 009 from Chinese automotive firm Geely, is applying the
Mobileye SuperVision, Mobileye’s most advanced driver-assistance system.
Supervision boasts such features as “autonomous lane changing, adaptive cruise
control, comprehensive surround emergency assist, advanced traffic sign and
light recognition, front and rear collision avoidance, and evasive maneuver
assist.”
Rittman, however, adds that GBT’s Apollo still improves
on existing AI and computer vision solutions in autonomous driving.
“We already see cars flooded with sensors, we have
ultrasonic, lidar etc. and they all work well,” he said. “But we believe
that Apollo takes it one step further. Apollo doesn’t depend on things like
weather conditions or light visibility. It works anywhere, anytime, is fast and
gives real time information.”
For
a list of artificial intelligence stocks on Investorideas.com visit
here
About
GBT Technologies Inc.
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers
itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and
Enabled Mobile Technology Platforms used to increase IC performance. GBT has
assembled a team with extensive technology expertise and is building an
intellectual property portfolio consisting of many patents. GBT’s mission, to
license the technology and IP to synergetic partners in the areas of hardware
and software. Once commercialized, it is GBT’s goal to have a suite of products
including smart microchips, AI, encryption, Blockchain, IC design, mobile
security applications, database management protocols, with tracking and
supporting cloud software (without the need for GPS). GBT envisions this system
as a creation of a global mesh network using advanced nodes and super
performing new generation IC technology. The core of the system will be its
advanced microchip technology; technology that can be installed in any mobile
or fixed device worldwide. GBT’s vision is to produce this system as a low
cost, secure, private-mesh-network between any and all enabled devices. Thus,
providing shared processing, advanced mobile database management and sharing
while using these enhanced mobile features as an alternative to traditional
carrier services.
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