Building a Voice-Enabled Security Camera with a Mobile App and a Raspberry Pi

Building a Voice-Enabled Security Camera with a Mobile App and a Raspberry Pi

Amazon Appstore Developer Summit, London, November 7th, 2017

In this session we’ll use deep learning powered services from AWS, to build a security camera with face and object recognition, configurable via a text or voice chatbot interface in a mobile app, using the AWS IoT platform to provide a secure and scalable connection.

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Danilo Poccia

November 07, 2017
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Transcript

  1. 1.

    © 2017, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Building a Voice-Enabled Security Camera with a Mobile App and a Raspberry Pi @danilop danilop danilop@amazon.com
  2. 6.

    Object and Scene Detection Image Moderation Facial Analysis Face Comparison

    Facial Recognition Celebrity Recognition A m azon R ekognition
  3. 14.

    A m azon Polly A service that turns text into

    lifelike speech 50 voices 24 languages
  4. 16.

    Mobile and Desktop Apps You can store standard speech responses

    on the device, and also enable dynamic, real-time responses such as in-game character dialog, leaderboard rankings, and game invitations A m azon Polly
  5. 19.

    Conversational interfaces for your applications Powered by the same deep

    learning technologies as Alexa A m azon Lex Automatic Speech Recognition (ASR) for converting speech to text Natural Language Understanding (NLU) to recognize the intent of the text
  6. 24.
  7. 26.

    AWS IoT S3 Bucket Amazon Rekognition Raspberry Pi Zero W

    + Camera Module Lambda Function Amazon Lex A rchitecture Smartphone Export Web Browser
  8. 27.
  9. 29.

    B log Post Create a Question and Answer Bot with

    Amazon Lex and Amazon Alexa https://aws.amazon.com/blogs/ai/creating-a-question-and-answer-bot-with-amazon-lex-and-amazon-alexa/
  10. 30.

    © 2017, Amazon Web Services, Inc. or its Affiliates. All

    rights reserved. Building a Voice-Enabled Security Camera with a Mobile App and a Raspberry Pi @danilop danilop danilop@amazon.com