Bosch BHI385 programmable smart IMU with on-sensor AI-powered analysis

Mouser is now stocking the BHI385 smart inertial measurement unit (IMU) from Bosch. The BHI385 is an intelligent sensor system that delivers accurate acceleration measurement up to ±28 g – enabling precise motion analysis for high-impact events across sports, fitness, and gaming. The sensor combines a gyroscope and accelerometer with embedded AI software and an integrated 32-bit microprocessor, creating a complete programmable system based on Bosch Sensortec’s field-proven IMU platform.

The BHI385 sensor’s embedded AI supports key motion functions, including 6DoF/9DoF sensor fusion, step counting, activity recognition, and gesture detection (single/double/triple tap). Self-learning cyclic gesture recognition allows it to detect repeated motion patterns and adapt them to the individual, recognizing what is being done and how well it is being performed. This enables advanced use cases such as quality-of-movement evaluation in sports or rehabilitation training.

All processing runs on the integrated low-power processor, avoiding wake-up calls to the host CPU. Typical current consumption is less than 500 μA at 50 Hz for sensor fusion, and under 50 μA for simpler accelerometer-based algorithms.

The BHI385 is offered in a compact 20-pin LGA package measuring 2.5 x 3.0 x 0.95 mm³. Low power consumption and embedded intelligence make it a perfect fit for wearables, hearables, and edge AI systems.

The BHI385 IMU is supported by the BHI385 Shuttle Board 3.0. Enabling the evaluation of the BHI385 smart sensor, the Shuttle Board 3.0 also includes a BME688 AI-based environmental sensor, a BMM350 magnetometer, and an onboard pressure sensor. The BHI385 Shuttle Board 3.0 includes essential passive components and provides access to all sensor pins, making it ideal for standalone testing and integration into larger development systems. The Shuttle Board is designed to work with the Bosch Application Board 3.1 sensor prototyping platform. Bosch’s Motion AI Studio supports fast time-to-market, while the Open SDK enables custom machine learning model integration.

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New ST  Bluetooth 5.4 / Thread module for smart and IoT applications now at Mouser

Mouser Electronics is now shipping the new ST67W Wi-Fi 6 / Bluetooth 5.4 / Thread module from STMicroelectronics. The ST67W Module simplifies the development of next-generation wireless solutions for smart homes, smart appliances, healthcare, and industrial IoT applications.

The STMicroelectronics ST67W module, available from Mouser, is powered by Qualcomm’s high-performance 1 × 1 2.4GHz Wi‑Fi 6 and Bluetooth 5.4 QCC743 microcontroller, with support for Matter protocol over Wi-Fi that operates as a future-proof IoT connectivity transceiver, together with an external STM32 host MCU for running applications.

The ST67W module is ready to integrate with any STM32 MCU with all RF front-end circuitry built-in, including power/low-noise amplifiers, the RF switch, balun, and integrated PCB antenna, with 4Mbyte Flash for code and data storage and a 40MHz crystal. The module’s security features, cryptographic accelerators and services, including secure boot and debug reaching PSA Certified Level 1, make it easy for designers to comply with the upcoming Cyber Resilience Act and RED directives. The STMicroelectronics ST67W module is self-contained, pre-certified, and comes in a 32-lead LGA package ready for board placement. The module is offered with a PCB antenna (version B) or an RF connector for an external antenna (version U).

The STMicroelectronics X-NUCLEO-67W61M1 expansion board, also available from Mouser, is a versatile development tool for the ST67W module. The expansion board can be used with the ARDUINO® Uno V3 and Raspberry Pi boards, and is stackable on ST’s Nucleo-64, Nucleo-144, and Discovery boards.

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Murata’s type 2FR hostless Tri-Radio Module for smart and industrial IoT applications

Mouser is now shipping the new Type 2FR Hostless Wi-Fi 6 + Bluetooth LE 5.4 / 802.15.4 tri-radio module from Murata. The Type 2FR module delivers class-leading integration, efficiency, and multiple radio capabilities for smart home, industrial automation, gaming controllers and smart accessory applications. The module is based on the NXP RW612 wireless microcontroller (MCU), powered by a 260MHz Arm Cortex-M33 core with Trustzone-M, 1.2MB of on-chip SRAM, and a Quad SPI interface with an on-the-fly decryption engine for secure external flash access to support dual-band Wi-Fi 6, Bluetooth Low Energy (BLE) 5.4, IEEE 802.15.4, and Ethernet.

“Hostless” means there’s no need for a separate MCU, saving cost and board space with ultra-compact dimensions, making it the smallest module of this type with a built-in MCU. The module also provides Matter Network over Wi-Fi, Thread, or Ethernet, prioritising security with the latest cybersecurity standards and compatibility with the Matter ecosystem. The Murata LBES0ZZ2FR-EVK evaluation kit, available to order from Mouser, provides a proven design to evaluate the Type 2FR module.

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With new standards for AI inference, Axelera Metis AI accelerators now at Rutronik

Rutronik has recently added Axelera AI, a European pioneer in AI and edge computing, to its franchise partners. Axelera Metis products offer an alternative to traditional GPU-based solutions. The Metis AI platform is a holistic AI solution that combines state-of-the-art hardware and software. The hardware portfolio includes the Metis M.2 AI Inference Acceleration Card and the Metis PCIe AI Inference Acceleration Card.

At the heart of the Metis AI platform is the Metis AIPU (AI Processing Unit), a quad-core chip based on a proprietary RISC-V architecture and Digital In-Memory Computing (D-IMC). This architecture enables AI inference performance of up to 214 TOPS with energy efficiency of 15 TOPS/W. This makes it ideal for computer vision inference on the edge and provides scalable technology to meet the future demands of AI acceleration workloads.

The hardware is complemented by the Voyager SDK, a software package that simplifies model deployment, optimisation and integration.

Metis M.2 AI Inference Acceleration Card
This card, powered by the Metis AIPU, is ideal for applications with limited space that require powerful AI inference. In addition, the M.2 card has 1 GB of dedicated DRAM memory, which helps reduce power consumption and enables easier integration into systems. Its inference performance is up to 214 TOPS with 5 to 9 W typical application performance. A PCIe Gen3 x4 interface and security features (Secure Boot, Root of Trust) round out the product. The Metis M.2 AI Inference Acceleration Card is optionally available with an active cooling solution.

Target applications:
• Surveillance: easy deployment in buildings, construction sites or event venues
• Robotics: high-resolution advanced gesture recognition, pose estimation and decoding of human
intentions
• Medical: improved accuracy of real-time diagnosis, monitoring, imaging and analysis
• Agritech: crop analysis, smart irrigation, pest control, automated harvesting
• Drones: navigation, object detection and monitoring in lightweight, battery-powered UAV systems

Metis PCIe AI Inference Acceleration Card
The PCIe single slot cards in HHHL form factor with PCIe Gen3 x4 interface are also powered by the Metis AIPU. The PCIe version features up to 3,200 FPS for ResNet- 50, up to 214 TOPS with typical application performance of 8 W to 15 W, and active air cooling. Security features such as Secure Boot and Root of Trust are also integrated. It is available with 4 GB and 16 GB memory configurations.

Additional options with four Metis chips will be available soon, enabling up to 856 TOPS. These will then be available with 16 GB and 64 GB memory.
Target applications:
• Security: faster detection of incidents such as break-ins, falls or abandoned luggage
• Industry 4.0: fault detection, quality control, occupational safety
• Retail: customer behaviour, inventory monitoring, automated checkout systems
• Mobility: toll collection, enforcement and parking management
• Logistics: improving operational efficiency and safety in logistics centres

Both products support simultaneous inference on multiple cameras and enable the parallel use of independent neural networks. They offer a wide range of end-to-end AI pipelines and pre-trained models for a wide variety of applications. Advanced quantisation tools also ensure high prediction accuracy without compromising performance.

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