Computer vision at the edge with Amazon S3 on Outposts and AWS Panorama | Amazon Web Services
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Опубликовано 28 сентября 2022, 18:48
Computer vision (CV) automates visual inspection with machine learning (ML) for tasks like tracking assets to optimize supply chain logistics and detecting anomalies to improve product quality. Video feeds must be analyzed locally when real-time responses are expected or when data residency rules require that videos be processed and stored locally. In this demo video, you will learn how to add CV to existing cameras with AWS Panorama and run a CV application locally on AWS Outposts. You will also learn how AWS Panorama implements reads/writes to Amazon S3 on Outposts buckets and performs ML inferencing on video feeds to generate real-time insights.
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWSOutposts #AWS #AmazonWebServices #CloudComputing
Learn more: bit.ly/3xWZvxz
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWSOutposts #AWS #AmazonWebServices #CloudComputing
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