Eldercam - Event-Driven AI for Surveillance
Offered By: GOTO Conferences via YouTube
Course Description
Overview
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Explore event-driven AI for surveillance in this GOTO 2022 conference talk by John Page, Distinguished Engineer at MongoDB. Learn how to build a system to protect elderly relatives using MongoDB's Atlas Developer Data Platform and Amazon Web Services. Dive into a full-stack tour covering microcontroller development, NoSQL databases, event buses, serverless functions, artificial intelligence, time-series analytics, and hosted visualization tools. Gain insights into the benefits and challenges at each stage of development, from setting up a miniature camera to processing images with serverless AI. Discover how to deliver actionable insights into an elderly person's wellbeing without directly viewing the images. Follow along as Page demonstrates the use of MongoDB document databases, query API, Arduino IDE, Realm browser SDK, Atlas serverless functions, and more. Learn about JSON limitations, EJSON, HTTPS endpoints, event alerts, and daily roundups. Perfect for developers interested in event-driven architecture, serverless computing, and AI applications in healthcare and surveillance.
Syllabus
Intro
The rough setup
MongoDB document databases
The MongoDB query API
Arduino IDE
Realm browser SDK
Atlas serverless function
JSON has limits
EJSON
HTTPS endpoints
Alerts on events
Daily roundup
Tidy up
Outro
Taught by
GOTO Conferences
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