AWS Panorama Appliance allows customers to use
existing on-premises cameras and analyze video feeds in edge
environments to improve quality control, optimize supply chains,
and enhance consumer experiences
Accenture, Cincinnati/Northern Kentucky
International Airport, Deloitte, Sony, Tyson Foods, and the
Vancouver Fraser Port Authority among customers and partners using
the AWS Panorama Appliance
Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc.
company (NASDAQ: AMZN), announced the general availability of the
AWS Panorama Appliance, a new device that customers can install in
their facilities to run applications that analyze multiple video
streams from existing on-premises cameras. The AWS Panorama
Appliance enables customers to use computer vision technology to
quickly and easily perform visual inspections of production lines
(e.g. spot defects in manufactured parts), enhance customer
experiences at quick service restaurants (e.g. monitor
drive-through queues), or optimize the layout of physical retail
stores (e.g. improve product placement, inventory checks, etc.).
The AWS Panorama Appliance is one of four AWS products (along with
Amazon Monitron, Amazon Lookout for Equipment, and Amazon Lookout
for Vision) that form the most comprehensive suite of cloud-to-edge
industrial machine learning services available. To get started with
AWS Panorama, visit aws.amazon.com/panorama.
Customers in industrial, hospitality, logistics, retail, and
other industries want to use computer vision to make decisions
faster and optimize their operations. These organizations typically
have cameras installed onsite to support their businesses, but they
often resort to manual processes like watching video feeds in real
time to extract value from their network of cameras, which is
tedious, expensive, and difficult to scale. While some smart
cameras can provide real-time visual inspection, replacing existing
cameras with new smart cameras can be cost prohibitive. Even then,
smart cameras are often ineffective because they are limited to
specific use cases and require additional effort to fine-tune. For
example, updating a smart camera because of a simple change in the
environment (e.g. lighting, camera placement, or production line
speed) means that a customer often has to contact their vendor for
support, which can be costly and time consuming. Alternatively,
some customers send video feeds from existing on-premises cameras
to third-party servers, but often the required internet bandwidth
is costly or facilities are in remote locations where internet
connectivity can be slow, all of which degrades the usefulness and
practicality of the analysis. Consequently, most customers are
stuck using slow, expensive, error-prone, or manual processes for
visual monitoring and inspection tasks that do not scale and can
lead to missed defects or operational inefficiencies.
The AWS Panorama Appliance is a new device that solves these
challenges by enabling customers to improve their operations and
reduce costs by using existing on-premises cameras and analyzing
video streams locally with computer vision. Customers can get
started in minutes by connecting the AWS Panorama Appliance to
their network and identifying the video feeds for analysis. Because
the computer vision processing happens locally on the AWS Panorama
Appliance at the edge, customers can save on bandwidth costs and
use it in locations with limited internet bandwidth. Additionally,
the AWS Panorama Appliance is integrated with Amazon SageMaker (an
AWS service that makes it easy for data scientists and developers
to build, train, and deploy machine learning models), so customers
can update their computer vision application in Amazon SageMaker
and deploy the model to the AWS Panorama Appliance themselves. For
customers that do not want to build their own computer vision
applications, AWS Panorama Partners like Deloitte, TaskWatch,
Vistry, Sony, and Accenture provide a wide range of solutions that
can address unique use cases across manufacturing, construction,
hospitality, retail, and other industries. For example, customers
in the retail industry have used AWS Panorama Partners to develop
computer vision applications that can analyze foot traffic to help
optimize store layout and product placement, analyze peak times
when additional staffing is needed to assist customers, and
quantify inventory levels.
“Organizations across all industries like construction,
hospitality, industrial, logistics, retail, transportation, and
more are always keen to improve their operations and reduce costs.
Computer vision offers a valuable opportunity to achieve these
goals, but companies are often inhibited by a range of factors
including the complexity of the technology, limited internet
connectivity, latency, and inadequacy of existing hardware,” said
Swami Sivasubramanian, Vice President of Amazon Machine Learning at
AWS. “We built the AWS Panorama Appliance to help remove these
barriers so our customers can take advantage of existing
on-premises cameras and accelerate inspection tasks, reduce
operational complexity, and improve consumer experiences through
computer vision.”
The AWS Panorama Appliance is available for sale through AWS
Elemental in the United States, Canada, United Kingdom, and
European Union. The AWS Panorama service is available today in US
East (N. Virginia), US West (Oregon), Canada (Central), and Europe
(Ireland), with availability in additional AWS Regions in the
coming months.
The Cincinnati/Northern Kentucky International Airport is a
public international airport located in Hebron, Kentucky, that
provides world-class service to travelers in the Cincinnati
tri-state area. “CVG Airport is committed to providing a
world-class traveler experience through continuous innovation and
strategic cooperation,” said Brian Cobb, Chief Innovation Officer
at Cincinnati/Northern Kentucky International Airport. “By using
TaskWatch’s application on AWS Panorama, we are able to bring
machine learning to our existing IP cameras and automatically
monitor congestion over 70,000 square feet of airport traffic
lanes. Once an issue is detected, such as a disabled vehicle,
TaskWatch sends real-time alerts to airport staff so they can
provide assistance, keep the traffic flowing, and reduce delays for
our passengers.”
The Vancouver Fraser Port Authority is the third-largest port in
North America, processing 3.5 million shipping containers a year.
“We needed a solution to help optimize ground operations and
expedite container inspection for the thousands of containers
entering our port every day,” said Greg Rogge, Director of
Operations at Vancouver Fraser Port Authority. “We identified
machine learning as an enabler that could address this problem.
With the help of Deloitte, we are using AWS Panorama and other
advanced technologies to identify and track containers throughout
our facilities. Our customers benefit from real-time visibility
through data feeds into a blockchain system, and the port is able
to identify efficiency-improvement opportunities in the existing
process.”
Tyson Foods, Inc. is the largest U.S. food company, focused on
tackling some of the biggest sustainability challenges facing the
world today. “Our team worked with the Amazon ML Solutions Lab to
build computer vision models for counting packaged products on our
line for quality assurance,” said Barret Miller, Senior Manager of
Emerging Technology at Tyson Foods, Inc. “These efforts have
enabled us to develop automated solutions for our packaging lines
using AWS Panorama.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 81 Availability Zones within 25 geographic regions,
with announced plans for 24 more Availability Zones and eight more
AWS Regions in Australia, India, Indonesia, Israel, New Zealand,
Spain, and Switzerland. Millions of customers—including the
fastest-growing startups, largest enterprises, and leading
government agencies—trust AWS to power their infrastructure, become
more agile, and lower costs. To learn more about AWS, visit
aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20211020006009/en/
Amazon.com, Inc. Media Hotline Amazon-pr@amazon.com
www.amazon.com/pr
Amazon.com (NASDAQ:AMZN)
Historical Stock Chart
From Mar 2024 to Apr 2024
Amazon.com (NASDAQ:AMZN)
Historical Stock Chart
From Apr 2023 to Apr 2024