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UID:01a1989d-2cc7-7145-a893-f58de3264b5e@www.devopschat.co
DTSTAMP:20261106T133412Z
DTSTART:20210422T180000Z
DTEND:20210422T190000Z
SUMMARY:E2E Smart City Sample in the Edge and Cloud
DESCRIPTION:*TOPIC*\nThe topic will introduce the E2E Smart City Sample in 
 the Edge and cloud.\n-Aspects of smart city sensing\, analytics and manage
 ment features such as Camera Provisioning/Camera Discovery/Recording/Smart
  Upload and Archive and UI.\n- Two scenarios (Smart-City traffic and stadi
 um ) will be shown to demonstrate how to employ the docker-based software 
 stacks to deploy in the edge and cloud.The traffic scenario measures vehic
 le/pedestrian flow for planning purposes. The stadium scenario focuses on 
 different access control techniques\, including entrance people counting\,
  service-point queue counting\, and stadium seating zone crowd counting.\n
 \n*SPEAKER*\nXintian Wu is a Sr. Software Architect in the Data Center Gro
 up at Intel. He has been working on software development and solution desi
 gn of media creation and delivery\, and large scale computing solutions fo
 r the past 19 years. Xintian holds a Ph.D. in Computer Science.\n\n*SPONSO
 R*\nThank you to OPSANI\, an AI-driven application performance optimizatio
 n SaaS company\, for sponsoring food and beverages in the form of DoorDash
  coupons for our first 50 attendees! https://opsani.com\n\nhttps://www.dev
 opschat.co/meetings/e2e-smart-city-sample-in-the-edge-and-cloud
URL:https://www.devopschat.co/meetings/e2e-smart-city-sample-in-the-edge-an
 d-cloud
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