SensiML | Technologies

Acoustic Event Detection Tile

Acoustic Event Detection

Train your IoT devices to identify & respond to sounds with SensiML's acoustic event detection Knowledge Packs.

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Activity Recognition

SensiML Knowledge Packs deliver real-time motion classification for wearables. Our proven models work for humans, animals, and robots.

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Anomaly Detection

Anomalies are rare events, and so identifying when one occurs can be difficult. SensiML’s Knowledge Packs for anomaly detection simplify the task, allowing developers to focus their efforts on taking appropriate action.

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Gesture Recognition

SensiML offers turnkey gesture models, custom gestures, and software tools for gesture recognition. Our models are optimized for low power and small memory footprints.

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Keyword Spotting

SensiML keyword spotting is a highly accurate and low-footprint machine learning technique that can be used to detect specific words or phrases in audio signals, even in noisy environments.

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Vibration Classification

With SensiML's end-to-end solution, you can effortlessly collect, annotate, analyze, and build models from your sensor data, and generate firmware that runs on your target device.

SensiML, a subsidiary of QuickLogic, offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto generation, and testing.

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