Audio Anomaly Detection
In this tutorial, we are going to build a predictive maintenance application with an unknown anomaly state for a fan that can run entirely on a cortex-M4 microcontroller using SensiML Analytics Toolkit.
DetailsAudio Cough Detection
In this tutorial, we are going to build a Cough Detection application that can run entirely on a cortex-M4 microcontroller using SensiML Analytics Toolkit.
DetailsCanine Activity Recognition Collar
SensiML's canine activity recognition reference dataset uses a collar-mounted wearable device to classify 9 different activities for over 40 dog breeds using IMU motion data.
DetailsBoxing Punch Activity Recognition
We build a Boxing punch recognition application that can run entirely on a Cortex-M4 microcontroller using SensiML and TensorFlow Lite for Microcontrollers.
DetailsGuitar Note Audio Recognition
We use SensiML Analytics Toolkit to build a model that can run entirely on a microcontroller to classify guitar tuning notes.
DetailsKeyword Spotting
This tutorial is a step-by-step guide on how to build an audio keyword spotting application using the SensiML keyword spotting pipeline.
DetailsFan State Condition Monitoring
This demo illustrates the overall process of using SensiML Analytics Toolkit to build a fan state recognition model for an axial cooling fan.
DetailsRobot Arm Motion Recognition and Anomaly Detection
A robotic motion analysis device that can be trained to alert in real-time to unprogrammed movements, unexcepted collisions, human interference, or other motion path anomalies.
DetailsSmart Lock Audio Recognition
This tutorial is a guide towards building a smart lock model that can be executed on a cortex-M4 microcontroller.
DetailsVibration Anomaly Detection
We build a predictive maintenance application with an unknown anomaly state for a fan that can run entirely on a cortex-M4 microcontroller.
DetailsWizard Wand Gesture Recogition Game
SensiML's Wizard Wand game provides an example of a complete application built around on-device, ML-based gesture recognition as the central feature of the game.
Details GitHub Repo
