Industrial

STMicroelectronics

The STEVAL-MKI243A is an adapter board designed to facilitate the evaluation of the ASM330LHHXG1 6-axis IMU (inertial measurement unit) in automotive applications. The board offers an effective solution for fast system prototyping and device evaluation directly within the user’s own application. 

The STEVAL-MKI243A can be plugged into a standard DIL24 socket. The adapter provides the complete ASM330LHHXG1 pinout and comes ready to use with the required decoupling capacitors on the VDD power supply line. 

This adapter is supported by the STEVAL-MKI109D evaluation platform, which includes a high-performance 32-bit microcontroller functioning as a bridge between the sensor and a PC, on which it is possible to use the downloadable MEMS Studio graphical user interface or dedicated software routines for customized applications.

STMicroelectronics

The STEVAL-3601CV1 demonstrates a smart converter design able to deliver up to 1A output current from a 3.3 to 36V input, with a 5V output voltage. The board features the DCP3601 miniaturized synchronous step-down converter, which implements enhanced peak current control and advanced design circuitry to minimize quiescent current. The board demonstrates how highly efficient conversion can be achieved with just the DCP3601, an inductor, two small capacitors, and two resistors.

 

The board highlights key application benefits made possible by the DCP3601, including high efficiency and small PCB size, and is ideal for power conversion solutions in major appliances, smart metering, industrial 24V BUS conversion and general-purpose wide power supplies.

STMicroelectronics

The AEK-POW-BMSCC is a compact battery management system module based on the L9963E, optimized for easy mounting in battery packs. It can be used in a centralized daisy-chain as an intermediate node, where the first node is an AEK-POW-BMSCCTX. As an intermediate node, the AEK-POW-BMSCC can be part of a chain of up to 31 BMS nodes.

Each module monitors between 4 and 14 cells and can serve as an intermediate node in a daisy chain of up to 31 BMS nodes. The board provides voltage, current, and temperature sensing for each cell, enabling precise State-of-Charge estimation and cell balancing across the pack. Part of ST’s AutoDevKit ecosystem, the AEK-POW-BMSCC allows engineers to quickly prototype scalable, high-voltage battery management solutions with support for functional safety and real-time monitoring.

Renesas

Renesas offers the EK-RA8P1 evaluation kit to support development with the RA8P1 MCU. This kit includes an RA8P1 board with on-board J-Link debugger and connectors for Ethernet, USB, audio, and displays, plus a 7-inch capacitive-touch LCD and 5MP camera module for human-machine interface and vision demos.

The EK-RA8P1 comes pre-loaded with example projects showcasing the MCU 1GHz performance in voice recognition, image capture, and real-time analytics, allowing engineers to rapidly evaluate RA8P1 features using the Renesas FSP middleware and e²Studio IDE.

Infineon

AI evaluation kit targets inference and always-on workloads on PSOC™ Edge E84

The KIT_PSE84_AI evaluation kit is intended for assessment of artificial intelligence and machine learning workloads on the Infineon PSOC™ Edge E84 microcontroller. The board is configured to demonstrate the interaction between the high-performance compute domain, based on the Arm® Cortex®-M55 with Ethos™-U55 NPU, and the low-power always-on domain, which combines a Cortex-M33 core with Infineon’s NNLite neural network accelerator.

The platform supports evaluation of common edge AI use cases such as acoustic activity detection, voice processing, and sensor-based inference. Audio interfaces, sensor connectivity, including 60GHz radar and pressure sensors as well as memory access are provided to allow execution of neural network models across shared SRAM and non-volatile RRAM resources. This enables analysis of task partitioning, power-domain interaction, and inference latency under representative operating conditions.

The kit is supported by the ModusToolbox™ development environment and integrates with DEEPCRAFT™ Studio tooling for model deployment and validation. It is intended for engineers evaluating AI-enabled embedded architectures where low-power, always-on inference and higher-performance processing must operate within a single device.

Infineon

Evaluation board supports AI and HMI development on PSOC Edge E84

The KIT_PSE84_EVAL evaluation board provides a hardware platform for assessing the capabilities of the Infineon PSOC Edge E84 microcontroller in AI-enabled embedded systems. The board exposes both the high-performance and low-power compute domains, allowing evaluation of workloads that combine neural network inference, signal processing, and real-time control.

The evaluation board supports development of always-on AI use cases by enabling interaction between the Cortex®-M55 with Ethos™-U55 NPU and the low-power Cortex-M33 with NNLite accelerator. Memory resources are accessible to demonstrate shared SRAM and non-volatile RRAM usage across compute domains. Interfaces for audio, display, sensors, and communication peripherals allow investigation of voice, graphics, and HMI workloads under representative system conditions.

Debug and programming interfaces support firmware development and analysis using the ModusToolbox™ software environment, with compatibility for AI workflows using DEEPCRAFT™ Studio. The board is intended for evaluation of edge AI, low-power inference, and multi-core task partitioning in consumer, industrial, and security-focused applications.

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