SensiML, Microchip team on smart edge IoT applications
The partnership enables embedded developers using Microchip Technology’s microcontrollers and the MPLAB X IDE tool suite to quickly and easily add intelligence to their new or legacy designs with SensiML’s Analytics Toolkit. The new integrated design flow enables users to use the Data Visualizer debug tool included with the MPLAB X IDE tool suite to directly read register-level sensor data and then feed that information in SensiML’s Data Capture Lab where it can be analyzed and labeled for high-quality AI modeling.
This approach, says the company, means that data from any of the wide range of sensors supported by MPLAB X IDE tool suite can be converted into usable AI models. The models generated by the SensiML tools are extremely efficient and can easily be supported by nearly any Microchip microcontroller and its associated memory subsystem while keeping power consumption extremely low.
“Microchip’s microcontrollers are used all over the world in a broad range of sensor-based applications,” says Chris Rogers, CEO at SensiML. “Our partnership has resulted in an automated design flow in which the SensiML tools can easily tap into sensor data from the MPLAB X IDE and generate machine learning models that transform physical sensor endpoints into application-specific intelligent sensors.”
Fanie Duvenhage, vice president of Microchip’s Human Machine Interface and Mixed-Signal and Linear business units says, “We are excited to add SensiML as a partner that will enable the implementation of embedded machine learning on our vast range of microcontroller and microprocessor products. The ability of the SensiML Analytics Toolkit to easily generate high-quality, power efficient models with a small memory footprint is an excellent fit for our customers that wants to add machine learning to their existing designs.”
The Microchip MPLAB X IDE tool suite and SensiML Analytics Toolkit are available now and support the Microchip SAM-IoT WG Development Board using the SAMD21G15 Arm Cortex-M0+ based 32-bit microcontroller (MCU). Support for additional development kits and processors will be added over the coming months.