7. Examples & Applications

tinyml-modelzoo ships ready-to-run examples under examples/. Each example folder has one or more config YAML files (one per target device or variant), and most have a readme.md. This section has one page per example, grouped by task.

Note

Many example folders have no plain config.yaml. Use the config file names listed on each page, for example examples/dc_arc_fault/config_dsk.yaml.

7.1. Running an Example

From the tinyml-modelzoo folder:

./run_tinyml_modelzoo.sh examples/generic_timeseries_classification/config.yaml

run_tinyml_modelzoo.bat examples\generic_timeseries_classification\config.yaml

./run_tinyml_modelzoo.ps1 examples/generic_timeseries_classification/config.yaml

Results are written to ./data/projects/<project_name>/run/<date-time>/<model_name>/; see Understanding the Run Output. If you installed the wheel only, see Wheel Installation for how to get the example configs. To adapt an example, see How to Create a ModelZoo Config YAML. To run a trained example on a board, see Deploying a ModelZoo Run to an SDK Example (Golden-Vector Check).

Important

Result numbers on the example pages come from the example readme.md files (written for earlier releases) or from short automated test runs of 1.5.0, as labelled on each page. They show what to expect, not a benchmark.

7.2. Generic Examples (Start Here)

One per timeseries task. Use these to learn the flow, then point the config at your own data.

Example	Description
Generic Time Series Classification	Hello World: classify sine, square and sawtooth waveforms.
Generic Timeseries Regression	Hello World regression on synthetic data.
Generic Timeseries Forecasting	Hello World forecasting on a simulated thermostat signal.
Generic Timeseries Anomaly Detection	Autoencoder anomaly detection on synthetic data.

7.3. Timeseries Classification

Example	Description
DC Arc Fault Detection	DC arc fault detection from current waveforms (classification, anomaly detection, on-device learning).
AC Arc Fault	AC arc fault detection on MSPM0G5187.
Motor Bearing Fault	Motor bearing fault from 3-axis vibration (classification and anomaly detection).
Blower Imbalance	Blower imbalance from a 3-variable signal.
Fan Blade Fault Classification	Fan blade faults from an ADXL355 accelerometer, including wireless MCUs and on-device training.
Electrical Fault	Transmission line fault classification (2-class and 6-class).
Grid Stability	Smart grid stable vs unstable (UCI 4-node star grid).
Grid Fault Detection	Single-phase on-board-charger grid faults on F29H85.
Gas Sensor	Gas identification from 10 MOS sensors.
Human Activity Recognition	Human activity recognition (WISDM) with a residual model.
ECG Classification	ECG classification (classification and anomaly detection).
NILM Appliance Usage Classification	Appliance usage classification (ESDA NILM and PLAID).
PIR Detection	Motion detection from a PIR sensor on MSPM0 and wireless MCUs.
Gearbox Fault Detection	Gearbox fault from 4-channel vibration.
Human Fall Detection	Fall detection from an accelerometer (SisFall).
Dynamic Hand Gesture Recognition	Hand gestures from a 3-axis accelerometer.
Wi-Fi CSI Presence Detection	Presence detection from Wi-Fi CSI on CC35X1 (new in 1.5.0).

7.4. Timeseries Regression

Example	Description
Torque Measurement Regression	PMSM torque estimation.
Induction Motor Speed Prediction	Induction motor speed (RPM) prediction.
Washing Machine Load Weighing	Laundry load weighing from motor signals.
MOSFET Junction Temperature Prediction	MOSFET case-temperature prediction (linear model plus AI residual).
Battery State of Charge (SOC) Estimation	Battery state-of-charge estimation (new in 1.5.0).

7.5. Timeseries Forecasting

Forecasting Examples Guide lists all forecasting configs, the windowing rules and the FCST_* models.

Example	Description
PMSM Rotor Temperature Forecasting	PMSM rotor magnet temperature, one step ahead.
HVAC Indoor Temperature Forecasting	Indoor temperature forecasting for HVAC.

7.6. Anomaly Detection

Anomaly detection configs live inside several example folders. Anomaly Detection Examples Overview lists all of them with thresholds and troubleshooting.

7.7. Audio Classification

Example	Description
Google Speech Command Recognition	12-class keyword spotting with MFCC features.
Wake Word Detection	Wake word detection with a learned filterbank (new in 1.5.0).
Glass Break Detection	Glass break detection (new in 1.5.0).
Cough Detection	Cough detection (new in 1.5.0).

7.8. Image Classification

Image Classification Examples Guide is an overview of the image examples.

Example	Description
MNIST Image Classification	Digit recognition with LeNet-5.
Machine Readable Code Classification	QR code vs barcode vs other.
Coffee Bean Classification	Coffee roast level classification.

7.9. Radar

Example	Description
Radar Pose and Fall Detection	Pose and fall classification from radar point clouds (new in 1.5.0).