The solution enables industrial-equipment vendors to quickly evaluate Octonion’s embedded AI models, running on-device learning directly on STM32 MCUs...
Octonion SA announced an STM32Cube expansion package optimized for STM32L4+ microcontroller-based industrial-application development boards from STMicroelectronics.
Octonion’s new software package supports ST’s efforts to develop Artificial Intelligence-based applications running on STM32 microcontrollers and microprocessors in the fast-growing condition-based-monitoring and predictive-maintenance segments. The Octonion I-CUBE-OCTMI package delivers a self-care system running on STM32 ultra-low power MCUs and powered by Octonion’s Edge AI engine that automatically learns, inspects, and monitors the health of industrial equipment throughout its operating life.
The expansion pack is optimized for the STM32L4+ development boards which include a range of ST’s industrial-grade sensors and connectivity features, starting from the STWIN SensorTile Wireless Industrial Node. It embeds Octonion’s AI engine operating in an unsupervised mode, continuously analyzing data from an accelerometer to handle vibration analysis for condition monitoring and predictive maintenance. The engine does not require any prior knowledge of the equipment or existing dataset. It learns operational modes locally on the microcontroller to fine-tune the embedded Octonion Machine Intelligence algorithm. With all the computation done at the Edge, there are no data sent outside, eliminating possible privacy issues.
The I-CUBE-OCTMI expansion pack gives developers access to two ready-to-use algorithms: Instant Analyser for fast-response equipment-health analysis and Wize Analyzer designed for equipment with frequent operational-mode changes. The expansion pack covers a wide range of industrial machines’ behaviors allowing it to detect spike anomalies and extended dynamic state anomalies on motors of various power classes, including small BLDC, PMSM motors, or huge turbines.