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STMicroelectronics presents ‘unique’ dual-range motion sensor

Product Launches

1 min read

STMicroelectronics has presented the ISM6HG256X, a tiny three-in-one motion sensor for data-hungry industrial IoT applications.

Three-in-one motion sensor Credit: STMicroelectronics

A highly accurate IMU sensor it combines simultaneous detection of low-g (±16g) and high-g (±256g) accelerations with a high performance and stable gyroscope within a single compact package.

The ISM6HG256X addresses the growing demand for reliable, high-performance sensors in industrial IoT applications such as asset tracking, worker safety wearables, condition monitoring, robotics, factory automation, and black box event recording.

By integrating an accelerometer with dual full-scale ranges, ST has removed the need for multiple sensors, simplifying system design and reducing overall complexity.

The sensor’s embedded edge processing and self-configurability support real-time event detection and context-adaptive sensing, which are essential for long lasting asset tracking sensor nodes, wearable safety devices, continuous industrial equipment monitoring, and automated factory systems.

Combined with machine-learning running inside the IMU sensor itself, these sensors can quickly recognise, track and classify motion, activities and events while using very little power, according to the company.

Edge AI is a crucial driver for ST’s MEMS activity as it boosts performance and efficiency by enabling real-time data processing on the device, reducing latency and energy use. It enhances privacy and security through local data handling, limiting its reliance on external processing. It also provides scalability and flexibility for various applications.

In addition, edge AI supports a range of different uses like advanced sensing and IoT integration, aligning with growing demand for smart, connected devices.

The ISM6HG256X contains a machine-learning core (MLC) and finite state machine (FSM), together with adaptive self-configuration (ASC) and sensor fusion low power (SFLP).

These features bring edge AI directly into the sensor to autonomously classify detected events, ensuring real-time, low-latency performance and ultra-low system power consumption. This embedded technology can reconstruct signal dynamics to provide high-fidelity motion tracking. Thanks to the embedded SFLP algorithm, also 3D orientation tracking is possible with just few µA of current consumption.

ST’s new X-NUCLEO-IKS5A1 industrial expansion board with MEMS Studio design environment and extensive software libraries, X-CUBE-MEMS1, are available to help developers to implement functions including high-g and low-g fusion, sensor fusion, context awareness, asset tracking, and calibration.

The ISM6HG256X is available now, in a 2.5mm x 3mm surface-mount package built to withstand harsh industrial environments from -40°C to 105°C.

Artificial Intelligence

Sensors

Internet of Things

http://www.st.com