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Facilitate Social Distancing using IoT and AI/ML

Project Overview

Project Detail

Configure AWS IoT Greengrass to communicate with cameras to capture videos from relevant areas. AWS IoT Core and AWS IoT Device Management manage the cameras and events. Use videos from the cameras to train a machine learning model to recognize people with Amazon SageMaker and Amazon SageMaker Ground Truth. Build an elastic and scalable detection pipeline with Amazon Kinesis Video Streams, Amazon SageMaker and AWS Fargate; use automatic scaling capabilities to automatically increase or decrease the capacity. Build the social distancing system with Amazon Kinesis Data Streams, AWS Lambda, and Amazon DynamoDB to perform calculations and track the compliance status over time. Show distancing indicators on a monitor, send notifications to a smart speaker, or update the state of the IoT lightbulb in case of social distancing violations. Create a data lake with Amazon S3 and Amazon S3 Glacier to store the data for reporting, visualization, advanced analytics, and machine learning. Import the predictions to enrich your Amazon Redshift data warehouse. Visualize the reports using Amazon QuickSight, Amazon Athena, or other reporting tool to discover tr

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Facilitate Social Distancing using IoT and AI/ML