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The PSOC Edge E84 evaluation kit is a hardware evaluation platform for rapid prototyping of applications based on the PSOC Edge MCU family. Featuring the high-performance, low-power, secured MCUs with advanced machine learning (ML) acceleration for next-generation AI/ML applications, this evaluation kit provides easy access to all of the interfaces and capabilities of the PSOC Edge MCUs.
The OPTIGA™ TPM SLB9673 RPI evaluation board provides a quick and easy way to start to develop with the Infineon SLB9673 trusted platform module (TPM) for Raspberry Pi. The board comes as a Raspberry Pi hardware attached on top (HAT) that conforms with the rules defined by the Raspberry Pi Foundation. This add-on makes it easier for users to connect the board to all 40-pin GPIO Raspberry Pi boards
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.
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.
The LEB-0024 evaluation board for the CPC1601M from Littelfuse includes on-board switches and a mode selector, allowing easy hands-on testing of the relay either manually or via external control signals.
The kit features manual load switching via built-in tactile push-buttons, external control input pins for driving the relay from a microcontroller or logic, and a slide-switch to select an external supply or load-powered mode. The board includes a test pin to power external components up to 10mW, and over-voltage protection with a transient voltage suppression diode for the relay outputs.
The LEB-0024 board provides a ready-made platform to evaluate the CPC1601M latching and energy-harvesting capabilities.