IOT311-R1: Combining camera feeds, edge computing, and ML for remote monitoring

Remote monitoring of assets and equipment enables businesses to repurpose labor away from manual monitoring, increase equipment life span, and derive value from existing investments into assets. In harsh physical environments, remote monitoring can enable equipment to operate offline while reducing high-risk, manual operations. In this session, you learn how to train machine-learning models in the cloud and use AWS IoT Core to deploy these models onto connected surveillance cameras to drive ROI for your business.