Texas Instruments invites to join webinar “Machine learning with mmWave radar data: Simple steps to get started”

11/13/2024

Machine learning enables powerful pattern recognition and performance across various data sets, including mmWave radar. While there are numerous examples for video and audio data, fewer resources exist for starting with radar sensors.

This session presents a simple procedure using open-source tools and readily available information to train and deploy a machine learning model at the edge with the IWRL6432. You’ll explore the IWRL6432’s capabilities, understand the advantages and considerations of ML in embedded systems, and follow a full development flow from data collection to deployment for surface classification applications, helping you develop and test new ML-based radar applications.

What you’ll learn:

• IWRL6432 capabilities and example applications
• Machine learning advantages and considerations in embedded systems at the edge
• Full ML development flow including data collection, annotation, training, and deployment for surface classification applications
• How to develop and test new ML based radar applications

When? On November 22, 2024.

Learn more and register.

www.ti.com