Discover how Qeexo and Arm make it easier to create machine learning solutions for industrial condition-based monitoring (CbM), predictive maintenance, and anomaly detection.
This in-depth webinar will showcase:
1. How Arm Virtual Hardware (AVH) and Synchronous Data Streaming Framework (SDS Framework) made it possible to create a configurable, virtual research board and sensors from Qeexo AutoML;
2. A demonstration of how Qeexo AutoML users can build and simulate machine condition-based monitoring (CbM) solutions for many Arm Cortex-M processors using existing sensor data, and deploy those solutions to edge hardware.
3. How to use the following tools to put together a virtual sensor board: CMSIS-Pack, Keil MDK, Arm Virtual Hardware and Qeexo AutoML, SDS Framework
Qeexo and Arm subject matter experts will be on hand during the webinar to answer any questions.
Resources:
Free license for Qeexo AutoML: https://forms.office.com/r/kH8fXh6Tpv
Qeexo Automl: https://automl.qeexo.com/
Getting Started with Qeexo Automl: https://docs.qeexo.com/guides/userguides/getting-started
AVH MLOps exemplary repo: https://github.com/ARM-software/AVH-MLOps/
Arm Keil Studio: https://keil.arm.com/
Arm Virtual Hardware Documentation: https://arm-software.github.io/AVH/main/overview/html/index.html