Creating & Deploying AI Condition-Based Monitoring Solutions with Qeexo and Arm
Presented By:
Pranav Kanuparthi, Machine Learning Engineer, Qeexo.
Christopher Seidl, Director Product Management Embedded Tools, Arm.
About This Talk:
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:
- 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.
- 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.
- 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.