SensiML
AI toolkit for building edge AI models for IoT sensor applications
SensiML
AI toolkit for building edge AI models for IoT sensor applications
SensiML Analytics Toolkit is an end-to-end platform for building embedded machine learning applications that detect events, activities, and anomalies in sensor data on IoT devices and microcontrollers. It provides a data capture interface, auto-labeling tools, AutoML for time-series classification, and an optimized inference library that generates firmware code deployable on Arm Cortex-M and RISC-V devices. SensiML is used for applications including human activity recognition, predictive maintenance vibration monitoring, and smart home gesture detection.
Key Features
- ✓Auto-labeling
- ✓AutoML time-series
- ✓Firmware generation
- ✓Cortex-M support
- ✓Activity recognition
- ✓Predictive maintenance
Quick Info
- Category
- AI Infrastructure & MLOps
- Pricing
- Freemium
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