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tinyML Talks by Jenny Plunkett from Edge Impulse
February 15, 2022 @ 8:00 am - 9:00 am
Announcing tinyML Talks on February 15th, 2022
IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/8716430517337/WN_vClENxn2RoO7GQqcnNeQXw
Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.
8:00 AM – 9:00 AM Pacific Daylight Time (PDT)
Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse
“Advanced Anomaly Detection Made Easy”
Being able to detect anomalies is becoming an extremely useful technique in the world of embedded ML, and one that can be done on the most constrained always-on devices. Anomaly detection can be used for a multitude of use cases, from cold chain monitoring to fault detection on industrial machinery or satellites.
In this talk we will present how to use data-driven engineering to create your data set and use Edge Impulse to create a model able to classify anomalous sensor readings. We will do this by leveraging some new powerful features in Edge Impulse.
You will learn to:
· Implement and use custom DSP blocks to analyze your IoT data and extract the most important features
· harness the value of feature importance to zoom in on interesting frequency bands
· iterate over thresholds in anomaly detection blocks, in order to find the optimal configuration
Jenny Plunkett is a Texas Longhorn and software engineer, working as a Senior User Success Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for the Pelion device management platform.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available on the tinyML website and tinyML YouTube Channel afterwards, for those who missed the live session. Please take a moment and subscribe to the YouTube channel today: https://www.youtube.com/tinyML?sub_confirmation=1
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