ST releases energy-efficient autonomous inertial measurement unit

STMicroelectronics has released the ISM330BX 6-axis inertial measurement unit (IMU).

Credit: STMicroelectronics

The device combines edge-AI processing, an analogue hub for sensor expansion, and ST’s Qvar electric charge variations sensing with product-longevity assurance for energy-efficient industrial sensing and motion tracking applications.

The IMU contains a 3-axis gyroscope and a 3-axis accelerometer with a low-noise architecture and bandwidth up to 2kHz, making it suitable for vibration sensing in machine-tool condition-monitoring applications. Additional use cases include industrial and domestic robots and automated guided vehicles (AGV), intelligent appliances, and motion trackers.

Also integrating ST’s edge-processing engine that teams a machine-learning core (MLC) with AI algorithms and a finite state machine (FSM), the ISM330BX offloads the host processor and saves system power.

The IMU also embeds ST’s Sensor Fusion Low-Power (SFLP) algorithm for 3D orientation tracking, which can enhance energy efficiency in applications like robotics and smart safety helmets. Leveraging adaptive self-configuration (ASC), the sensor can also automatically optimise its settings in real-time for best performance and power.

With its autonomous capabilities, the ISM330BX alleviates data transmission between the IMU and host system, as well as offloads the main processor, ensuring low latency and low power consumption. The integrated analogue hub provides more opportunities for energy-efficient system integration by directly connecting external analogue sensors to the edge-processing engine for data filtering and AI inference.

With ST’s Qvar electric charge variation detector also built-in, the IMU can integrate touch and close-proximity detection, or value-added functionality such as water leak sensing, to boost system integration and energy efficiency.

With the launch of the ISM330BX ST is also offering developers access to essential hardware such as the STEVAL-MKI245KA adapter board. There are also software resources including MEMS Studio and ready-to-go application examples in GitHub free of charge, presenting a collaborative environment for innovation.