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About This Video
Bringing machine learning to edge devices enables new applications that require real-time analysis. For example, smart cameras with edge-based machine-learning capabilities can use local image processing to identify the types of vehicles on a roadway and send just the necessary data back for analysis, reducing networks costs and latency, while keeping sensitive regulated data close to the source and eliminating the security and privacy concerns of a cloud-based ML solution. NXP and AWS offer a complete Edge-to-Cloud solution for developing, deploying, monitoring and updating large-scale deployments of Edge ML devices.