AI with Model-Based Design: Virtual Sensor Modeling

Editor's take

This webinar outlines a streamlined workflow for developing and deploying AI-powered virtual sensor models directly onto embedded processors.

This integrated approach promises to accelerate the adoption of AI in edge computing applications, potentially impacting industries reliant on real-time data processing for control and monitoring, such as automotive and industrial automation. It addresses the fragmentation often seen in the AI development lifecycle, aiming to simplify the path from model conception to on-device deployment, a crucial step for many real-world AI implementations.

Future developments to monitor include the practical performance gains and efficiency improvements realized on diverse embedded hardware, and whether this unified environment can truly democratize the creation of complex virtual sensor systems for smaller development teams or those with less specialized AI expertise. The extent to which this workflow can handle diverse sensor modalities and complex signal processing will also be a key indicator of its broader applicability.