Overview
The SensiML Analytics Toolkit is an end-to-end development platform that automates the process of creating AI-powered IoT sensor recognition code. It is designed for edge devices and microcontrollers, addressing the limitations of cloud-based AI/ML tools which are not optimized for resource-constrained environments. The toolkit facilitates data collection, labeling, algorithm selection, and firmware auto-generation. Its workflow uses a library of ML and AI algorithms to generate code capable of learning from new data during both development and deployment. The platform supports a wide range of sensors, including motion, vibration, audio, and gas sensors. It allows developers to create efficient ML models that can run on 8-bit MCUs, enhancing the capabilities of low-power IoT endpoints.