Webinars

Building camera-enabled smart home devices at scale

IoT applications are rapidly becoming more intelligent, especially when it comes to camera-enabled solutions in the home such as climate control systems, integrated home surveillance systems, and baby and pet monitoring systems. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that makes business sense. In this tech talk, learn how to build intelligent, camera-enabled smart home applications using Amazon Kinesis Video Streams and AWS IoT services.

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Deep dive - Amazon Kinesis Video Streams

In this webinar, we introduce Kinesis Video Streams and its key features, and review common use cases including smart home, smart city, industrial automation, and computer vision. We also discuss how you can use the Kinesis Video Streams parser library to work with the output of video streams to power popular deep learning frameworks.

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Building home security solutions at scale, with Comcast (SVC206)

IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.

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Serverless video ingestion & analytics with Amazon Kinesis Video Streams (ANT208)

Amazon Kinesis Video Streams makes it easy to capture live video, play it back, and store it for real-time and batch-oriented ML-driven analytics. In this session, we first dive deep on the top five best practices for getting started and scaling with Amazon Kinesis Video Streams. Next, we demonstrate a streaming video from a standard USB camera connected to a laptop, and we perform a live playback on a standard browser within minutes. We also have on stage members of Amazon Go, who are building the next generation of physical retail store experiences powered by their "just walk out" technology. They walk through the technical details of their integration with Kinesis Video Streams and highlight their successes and difficulties along the way.

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Introducing Amazon Kinesis Video Streams (ABD216)

Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing. In this session, we introduce Kinesis Video Streams and its key features, and review common use cases including smart home, smart city, industrial automation, and computer vision. We also discuss how you can use the Kinesis Video Streams parser library to work with the output of video streams to power popular deep learning frameworks. Lastly, Abeja, a leading Japanese artificial intelligence (AI) solutions provider, talks about how they built a deep-learning system for the retail industry using Kinesis Video Streams to deliver better shopping experience.

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Workshop: Stream video from edge devices to AWS for playback, storage and processing

Amazon Kinesis Video Streams is a video ingestion and storage service for analytics, machine learning, and video processing use cases. In this workshop, you will learn how to stream video from devices to Kinesis Video Streams for playback, storage and subsequent processing. For the workshop, we will provide you a Raspberry Pi 3 with camera module and pre-loaded with the Kinesis Video Streams producer SDK. First, you will create and configure a Kinesis video stream in the AWS management console. Next, you will stream videos from the Raspberry Pis to Kinesis Video Streams, view the live video feed in the console, and retrieve stored videos. Lastly, you will pull key operating metrics to understand the performance characteristics of your video stream. For this workshop, you need to create an AWS account.

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Hands-on tutorial

Kinesis Video Streams Raspberry Pi tutorial

To help you get started quickly with video ingestion, this tutorial provides step-by-step instructions on how to stream video from a Raspberry Pi (with camera module) to AWS using Kinesis Video Streams. You can then playback the video streams in the Kinesis management console, build machine learning models using the video as an input to popular ML frameworks like Apache MxNet and TensorFlow, recognize faces in the video streams using Amazon Rekognition Video, or process it for live streaming.

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Blog posts

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