Improve the safety and security features of connected IoT devices with the context-aware audio processing capabilities of embedded machine learning. In this webinar, you will learn how to collect, train, optimize, and deploy audio-based anomaly detection algorithms to the Texas Instruments CC1352P LaunchPad.
Led by our user success engineer, David Schwarz, the session will take you through:
- Collecting and analyzing audio datasets for ML.
- Leveraging the Edge Impulse EON tuner to automatically optimize machine learning models.
- Designing and deploying an environmental monitoring system using the TI CC1352P LaunchPad that detects and identifies anomalous sounds.