FTM 26-iii development boards

The OPTIGA™ Trust M Express Shield from Infineon provides a convenient way to evaluate the OPTIGA Trust M Express family of discrete secure elements. 

It is supplied in a popular mikroBus™ format which makes it easy to integrate into prototype systems based on any microcontroller or microprocessor platform. The shield board can also be used with single-board computers when supported by the appropriate adapters. 

The OPTIGA Trust M Shield is compatible with the Infineon PSOC™ 62S2 Wi-Fi BT Pioneer Kit and OPTIGA Trust Adapter.

Features of the shield board include:

• Pre-provisioned TLS security certificates
• CC EAL 6+ certified hardware
• Qwiic compatible
• I2C interface with shielded connection
• Cryptographic toolbox
• Supports multiple cryptographic algorithms: ECC, RSA, AES, HMAC, HKDF, TLS PRF

The AR0822NPSC10SMEAH3-GEVB sensor board for the 8 Mpixel AR0822 from onsemi provides a convenient platform for evaluating the image sensor’s embedded High Dynamic Range feature and its low power consumption. 

The board can be interfaced to the onsemi Demo 3 evaluation board, or to the AP1302 evaluation board stacked on the Demo 3 board. The combined kit uses the DevSuite software from onsemi to configure the system. The software provides a comprehensive set-up interface, and offers a flexible way to evaluate the sensor’s features and capabilities.

 The sensor board comes with a lens suitable for evaluation. Designers can use their own lens as long as it is compatible with the mechanical and optical requirements of the sensor.

STEVAL-3603BC1 evaluation board provides a ready-made 5 V/3 A buck converter solution using the DCP3603 and minimal external parts. It helps engineers quickly evaluate the converter’s performance and jump-start their designs. The board highlights the high efficiency and small footprint achievable with the DCP3603 in applications such as appliances, smart meters, and 24V industrial systems. Using this board, developers can validate the DCP3603’s operation under real-world conditions and accelerate prototyping of their power supply designs.

The STM32MP215F-DK Discovery Kit is a development platform for the STM32MP215 series. It features the STM32MP215DAN3 MPU, ST STPMIC2L power management, and 2GB of LPDDR4 DRAM, along with Gigabit Ethernet, USB-C, microSD, an LCD-TFT display connector, and a dual-lane MIPI CSI-2 camera connector. The board ships with the ST OpenSTLinux distribution on the A35 cores and STM32CubeMP2 firmware examples on the M33, enabling rapid prototyping and evaluation of industrial and vision-based applications.

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.

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.

This open-source development kit features a quad-core, 64-bit CPU cluster based on the RISC-V application-class processor that supports Linux^® and real-time applications, a rich set of peripherals and 95K of low-power, high-performance FPGA logic elements.

The STEVAL-MKI230KA evaluation kit consists of the STEVAL-MKI230A main sensing board, with a square PCB, which mounts the ISM330IS 3-axis accelerometer and 3-axis gyroscope with embedded ISPU, the STEVAL-MKIGIBV5 adapter board, and a flat cable. The main board is connected to the adapter board through the flat cable to make it compatible with the STEVAL-MKI109V3.

The NUCLEO-N657X0-Q evaluation board from STMicroelectronics provides a convenient platform for proof-of-concept and prototype development using the STM32N6 series of microcontrollers, the first STM32 to include the Neural-ART Accelerator, a neural processing unit (NPU). With the on-board NPU, the STM32N6 provides 600 times more machine-learning performance than a high-end STM32 MCU today.  

The STEVAL-MKI248KA kit from STMicroelectronics consists of a generic DIL24 adapter board, the STEVAL-MKIGIBV5, a flat cable, and a square PCB on which is mounted the ISM6HG256X six-axis IMU.

The sensor is soldered precisely in the center of the square PCB, making it easy to mount the board on prototype equipment.

STEVAL-MKIGIBV5 board can be plugged into a standard DIL-24 socket. The kit supports the complete ISM6HG256X pin-out, and comes ready to use with the required decoupling capacitors on the power-supply line.

The kit is complemented by the STEVAL-MKI109D evaluation platform, which includes a high-performance 32-bit microcontroller: this functions as a bridge between the sensor and a PC, on which engineers can use the downloadable MEMS Studio graphical user interface, or dedicated software routines for custom applications.