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Connected Lodging Properties Using IoT and AI/ML - Connected Lodging Properties Using IoT and AI/ML
Connected lodging properties diagramFurther readingDiagram history

Connected Lodging Properties Using IoT and AI/ML

Publication date: August 28, 2020 (Diagram history)

With this architecture, you can build smart, connected lodging properties. Use IoT and artificial intelligence/machine learning (AI/ML) to provide touchless room personalization. The solution monitors queue depths, tracks foot and vehicle traffic, and maintains sanitation compliance. It uses AWS IoT Greengrass at the edge and Amazon SageMaker AI for inference models.

Connected lodging properties diagram

How to build connected lodging properties by using AWS IoT Core, AWS IoT Greengrass, and Amazon SageMaker AI.

The following steps describe the architecture:

  1. Use AWS IoT Greengrass Core to connect, publish, and subscribe to data. Communicate by using the Message Queuing Telemetry Transport (MQTT) protocol with IoT devices that run on FreeRTOS.

  2. Use AWS IoT Core to maintain device shadows for all IoT devices. Connect to the AWS Cloud, manage devices, update over-the-air (OTA), and secure the devices.

  3. Use purpose-built databases such as Amazon DynamoDB and serverless architecture. Store events, deliver microservices, and generate events for an operational data store.

  4. Use Alexa Voice Service to personalize guest rooms with voice-enabled controls.

  5. Use Amazon Pinpoint to deliver alerts to multiple channels. Send notifications for operational events and property management.

  6. Build a data lake to store raw data and create curated datasets in Amazon Simple Storage Service. Use AWS Glue and Amazon EMR for data processing.

  7. Use SageMaker AI to build, train, and deploy inference models. (Optional) Deploy edge models on AWS IoT Greengrass Core.

  8. Use Amazon Redshift, Amazon Athena, and Amazon Quick Sight for analytics. (Optional) Build data marts in Amazon Redshift for heavily used analytics.

  9. Use social distancing and queue depth management solutions for compliance and enhanced guest experience.

Further reading

For additional information, see the following resources:

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Initial publication

Reference architecture diagram first published.

August 28, 2020

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