SensiML, a subsidiary of QuickLogic, provides a toolkit for creating machine learning models from time-series sensor data and deploying them on microcontrollers and small SoCs. The software handles data capture, labeling, feature extraction and automatic model search, then generates firmware for Arm Cortex-M, QuickLogic and other targets. Industrial customers use it for predictive maintenance, gesture recognition and anomaly detection on vibration, motion and acoustic sensors.
Focus: sensor ml toolkit, tinyml.
Tags: tinyml · sensor analytics · predictive maintenance · microcontrollers · time series
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