home.aspx
 
. https://theinternetofthings.report/Resources/Whitepapers/71693959-7208-4f6f-bc83-9ea43cd86d53_connected-home-ML-edge_RA.pdf
infographic
CONNECTED HOME – MACHINE LEARNING AT THE EDGE
Create, train, optimize, and deploy ML models in the cloud. Amazon SageMaker optimizes models to less than a tenth of the memory footprint for resource-constrained devices, such as home security cameras and actuators. AWS IoT Greengrass Core is installed on the IoT Home Gateway and uses ML Inference, an optimized ML model running at the edge. AWS IoT Greengrass Core publishes local events from its Greengrass Aware Devices to AWS IoT Core. This enables your locally connected devices to send and receive updates from AWS IoT Core through AWS IoT Greengrass Core. DOWNLOAD