Blog Post

Acoustic Sensing & Environmental Monitoring with Embedded ML

Machine Learning, Embedded DevicesLearn how to use Edge Impulse to collect, train, optimize, and deploy audio-based anomaly detection algorithms to the Texas Instruments CC1352P LaunchPad.

Adam Benzion

October 26, 2021

    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.

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