ST combines activity tracking and high-impact sensing in miniature AI-enabled sensor

ST has revealed an inertial measurement unit that combines sensors tuned for activity tracking and high-g impact measurement in a single, space-saving package. 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, and consumer medical products, as well as equipment for smart homes, smart industry, 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 micro-electromechanical systems (MEMS) design, the innovative dual-accelerometer device ensures high accuracy for activity tracking up to 16g and impact detection up to 320g.

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 optimised 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 IoT 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, ST’s sensor will also enable new generations of smart devices for sectors such as consumer healthcare and industrial 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. Designers can create slim, lightweight form factors that are easy to wear or attach to equipment.

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AKM launches new series of power management ICs for energy harvesting

Asahi Kasei Microdevices (AKM) has developed the AP4413, a new series of ultra-low current power management ICs (PMICs) ideal for battery charging systems used in energy harvesting applications. The AP4413 series enables efficient battery charging while consuming an extremely low current of 52 nA and features four variants with voltage threshold characteristics matching several common rechargeable battery types. The AP4413 comes in a tiny 3.0 × 3.0 × 0.37 mm HXQFN package and has been in mass production since February of 2025.

Equipped with AKM’s proprietary ultra-low current voltage monitoring system, the AP4413 series enables autonomous charging of a small rechargeable battery via energy harvesting, which is becoming increasingly common across a wide range of applications such as remote controls, Bluetooth trackers, and IoT sensors, which have traditionally used disposable batteries. This is particularly relevant in Europe, where the transition to rechargeable batteries is being promoted by Regulation (EU) 2023/1542 to evaluate the feasibility of phasing out disposable batteries.

These devices allow system designers to utilise small amounts of ambient environmental energy, such as indoor light and body heat, to operate a variety of electronic devices, many of which are battery-operated. This is especially beneficial for IoT environmental sensors such as CO2 monitors that are installed in locations where line power is not easily accessible, and where battery replacement would be difficult.

Using energy harvesting to charge batteries is challenging, because the harvested voltage and current tend to be small and often unstable. It is therefore essential to minimise the PMIC’s power consumption and prevent excessive charging and discharging. The AP4413 series’ ultra-low 52 nA current consumption has minimal impact on a system’s power budget, and its voltage monitoring system prevents rechargeable batteries from becoming completely discharged, allowing for quick startup and/or recovery. Furthermore, the addition of an inline capacitor allows the AP4413 series PMICs to support system operation even when the battery is completely discharged, while recharging it at the same time.

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ST reveals industrial-grade accelerometer with edge AI and ultra-low power

ST’ IIS2DULPX industrial MEMS accelerometer combines machine learning, power saving, and capability to operate at high-temperature, facilitating intensive sensorisation for smarter, data-driven operations and decision making in asset tracking, robotics, and factory automation, as well as industrial-safety equipment and healthcare devices.

With in-sensor AI to relieve the host processor and automatic self-configuration to optimise power consumption, the IIS2DULPX lets equipment makers build maintenance-free, battery-powered smart sensor nodes in convenient form factors.

Typical applications for the new accelerometer include event tracking of assets or goods in transit. ST’s machine-learning core (MLC) can host AI algorithms to classify the kind of transportation system the asset is on and the events such as dropping, shaking, tilting, and flipping, enhancing quality assurance and supply-chain process improvement. Performing inference directly in the sensor relieves demands on the host-processor thus helping greatly extend the sensor battery life.

In addition, the IIS2DULPX is used in sensors for smart condition monitoring that are attached to assets such as industrial machinery or robotic arms to detect excessive vibrations, hits, and shocks. Here, small size and ultra-low power consumption let device makers create sensors with a compact outline and extended operation from a small and lightweight battery, that can be easily used to retrofit equipment that is already installed and operational. End users can thus instantly start collecting data from any equipment, including legacy machinery, to accelerate and extend their digital transformation initiatives.

Further applications for the IIS2DULPX include smart protective equipment and portable healthcare devices, including monitoring systems designed into industrial safety helmets to detect proper helmet wearing, impacts and falls for accident prevention or prompt emergency alerts, improving overall workplace safety. The sensor can detect a dangerous fall and immediately generate an alert for prompt assistance, as well as monitoring activity to identify unusual work patterns and ensure safety compliance. With its embedded machine-learning core and finite state machine (MLC/FSM), as well as automatic self-configuration, the IIS2DULPX permits continuous supervision while consuming very little energy, enabling a simple battery-operated accessory to transform a conventional safety helmet into a smart helmet.

The IIS2DULPX has also been integrated in an advanced battery-powered sensor for monitoring wafer-handling robot arms in semiconductor fabrication, to measure vibrations and shocks that could impact yield or reliability of chips. The accelerometer’s embedded MLC and automatic self-configuration let the battery-operated sensor node provide accurate and continuous monitoring, maintenance-free, for more than three years.

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u-blox introduces ANNA-B5 a compact, powerful and secure Bluetooth LE module

u-blox has announced the launch of the ANNA-B5 Bluetooth LE module. Built on Nordic Semiconductor’s next-generation wireless SoC, the nRF54L15 chipset is an ultra-compact module (6.5 × 6.5 mm) featuring a fully integrated antenna on the module, high security, a powerful MCU as well as distance measurements capabilities.

Designed with a new antenna solution for size-constrained, battery-powered applications, the ANNA-B5 delivers robust performance across industrial automation, smart home/smart building, healthcare, asset tracking and a broad range of other segments. Supporting Bluetooth LE, 802.15.4 with Thread, Zigbee, and Matter, ANNA-B5 ensures seamless connectivity. Qualified against Bluetooth® Core 6.0, the System in Package (SiP) module includes Bluetooth® Channel Sounding, providing more accurate range measurements.

With its next-generation security features, including physical tamper detection, secure boot, secure storage, and a crypto accelerator, it is designed to meet PSA Certified Level 3. This makes it an ideal choice for applications that require advanced security and compliance with the latest regulatory requirements, ensuring long-term viability in the evolving IoT landscape.

The ANNA-B5 module is powered by the Nordic Semiconductor nRF54L15 ultra-low power wireless SoC, featuring an Arm Cortex-M33 MCU running at 128 MHz, 256 kB of RAM, and 1.5 MB of non-volatile memory. Optimised for ultra-low power consumption, it is ideal for applications demanding extended battery life.

The module’s compact size (6.5 × 6.5 × 1.2 mm) with a fully integrated antenna makes it suitable for a wide range of IoT devices. Its compatibility with other u-blox ANNA modules is key to effortless technology migration, such as transitioning to the latest generation of Bluetooth LE modules.

With its professional-grade u-connectXpress software, ANNA-B5 ensures reduced compliance costs, faster time to market, and seamless international deployment.

https://www.u-blox.com

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