According to STMicroelectronics, devices equipped with this module can allow applications to fully reconstruct any event with high accuracy and so provide more features and superior user experiences. Now that it’s here, markets can expect powerful new capabilities to emerge in mobiles, wearables, hearables, and consumer medical products, as well as equipment for smart homes and smart driving.
The new LSM6DSV320X sensor is an industry first in a regular-sized module (3mm x 2.5mm) with embedded AI processing and continuous registration of movements and impacts. Leveraging ST's sustained investment in MEMS design, the innovative dual-accelerometer device ensures high accuracy for activity tracking up to 16g and impact detection up to 320g.
"We continue to unleash more and more of the potential in our cutting-edge AI MEMS sensors to enhance the performance and energy efficiency of today’s leading smart applications," says Simone Ferri, APMS Group VP, MEMS Sub-Group General Manager at STMicroelectronics. "Our new inertial module with unique dual-sensing capability enables smarter interactions and brings greater flexibility and precision to devices and applications such as smartphones, wearables, smart tags, asset monitors, event data recorders, and larger infrastructure."
The LSM6DSV320X extends the family of sensors that contain ST's machine-learning core (MLC), the embedded AI processor that handles inference directly in the sensor to lower system power consumption and enhance application performance. It features two accelerometers, designed for coexistence and optimal performance using advanced techniques unique to ST. One of these accelerometers is optimized for best resolution in activity tracking, with maximum range of ±16g, while the other can measure up to ±320g to quantify severe shocks such as collisions or high-impact events.
By covering an extremely wide sensing range with uncompromised accuracy throughout, all in one tiny device, ST's new AI MEMS sensor will let consumer and any connected devices provide even more features while retaining a stylish or wearable form factor. An activity tracker can provide performance monitoring within normal ranges, as well as measuring high impacts for safety in contact sports, adding value for consumers and professional/semi-pro athletes. Other consumer-market opportunities include gaming controllers, enhancing the user’s experience by detecting rapid movements and impacts, as well as smart tags for attaching to items and recording movement, vibrations, and shocks to ensure their safety, security, and integrity.
With its wide acceleration measurement range, the new sensor will also enable new generations of smart devices for sectors such as consumer healthcare and personal safety. Potential applications include personal protection devices for workers in hazardous environments, assessing the severity of falls or impacts. Other uses include equipment for accurately assessing the health of structures such as buildings and bridges.
The sensor’s high integration simplifies product design and manufacture, enabling advanced monitors to enter their target markets at competitive prices. Designers can create slim, lightweight form factors that are easy to wear or attach to equipment.
In addition to the MLC, which handles energy-efficient context awareness, the LSM6DSV320X integrates a finite state machine (FSM) that helps perform motion tracking in the module. The digital circuitry also includes ST's Sensor Fusion Low-Power (SFLP) technology for spatial orientation.
Like other smart MEMS sensors in ST’s portfolio, the LSM6DSV320X features adaptive self-configuration (ASC) to optimize power consumption. Sensors with ASC can automatically adjust their settings in real-time upon detecting a specific motion pattern or signal from the MLC, without intervention from the host processor.
To facilitate tracking high-intensity impacts and at the same time maximize the accuracy on low-g events, ST has also created and patented the Motion XLF software library which fuses data from the low-g accelerometer and high-g accelerometer.
Developers can use the software freely in their designs using the X-CUBE-MEMS1 package. ST also provides, free of charge, graphical design tools that help evaluate, configure, and test the LSM6DSV320X sensor and embedded AI and connect the projects with STM32 applications. These include MEMS Studio, part of the ST Edge AI Suite, and ST AIoT Craft, the web-based environment with tools for developing and provisioning node-to-cloud AIoT (Artificial Intelligence of Things) projects. The LSM6DSV320X is supported in ST Edge AI Suite now and will be added to ST AIoT Craft by the end of 2025.
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