Early Fire Detection Design Model for Smart Cities: Using AWS IoT and ML Technologies
Internet of Things Blog
This blog post discusses a scalable architecture for an early fire detection system for smart cities using AWS IoT and ML technologies.
Specifically, the article covers:
- Ingesting data from various IoT sensors like temperature, pressure, gas, humidity using AWS IoT Core and AWS IoT Core for Amazon Sidewalk
- Processing sensor data using AWS IoT Rules Engine and routing to Amazon SNS for alerts
- Storing data in Amazon Timestream for real-time monitoring and visualization on Amazon Managed Grafana
- Storing raw data in Amazon S3 data lake via Kinesis Firehose for machine learning model training on Amazon SageMaker
- Analyzing historical data using Amazon Athena and visualizing insights on Amazon QuickSight
- Potential use cases beyond fire detection like traffic, waste management, energy use monitoring
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