Infineon CY8CKIT-062S2-AI PSoC 6 Edge AI evaluation kit features multiple sensors, Arduino headers, Pmod connectors

Infineon CY8CKIT-062S2-AI evaluation kit is a hardware platform built around the PSoC 6 family of MCUs and designed to help developers easily create and test edge AI applications. The dev board features an array of sensors including radar, microphone, magnetometer, IMU, and an air pressure sensor, which make it easy for data collection applications. The board also features Wi-Fi and Bluetooth connectivity and includes an additional expansion header that can be used to connect other modules and sensors. All of these features make this board useful for building a wide range of AI-powered applications, including smart home automation, industrial monitoring, wearables, healthcare devices, and robotics.

Previously we have written about similar low-power edge AI modules such as the Digi ConnectCore MP25, the Axiomtek AIE110-XNX, and the Arducam KingKong feel free to check those out if you are interested in such low-power modules.

CY8CKIT 062S2 AI Kit

Infineon CY8CKIT-062S2-AI Evaluation Kit specifications:

  • MCU Infineon PSoC 62S2 MCU with dual-core Arm Cortex-M4F and Cortex-M0+ with up to 1 MB Flash and 288 KB SRAM
  • Wireless Module – Murata Electronics LBEE5KL1YN-814 Wi-Fi 4 (802.11b/g/n) and Bluetooth 5.2 BR/EDR/LE up to 65Mbps (WiFi) and 3Mbps (Bluetooth)
  • Sensors
  • Interfaces
    • USB Type-C for power and data
    • 2x Pmod connectors for expansion
    • 5x CapSense buttons and 2x CapSense® sliders
    • Arduino Uno R3 shield-compatible headers
  • Security Features
    • Hardware-based Root of Trust (RoT)
    • Hardware cryptographic accelerators
    • Secured onboarding, boot, key storage, and firmware updates
    • Trusted FW-M security services
  • Debugging – KitProg3 onboard debugger and programmer

CY8CKIT 062S2 AI Kit Callouts.png 268817400

The evaluation kit comes with ready-to-use machine learning models, that make it easy to develop applications according to specific needs. This board is also compatible with ModusToolbox, which is Infineon’s software tool for embedded development and we have seen it used in the PSoC 64 IoT Security Workshop Development Kit. The tool is for machine learning, connectivity, and security, and is compatible with Windows, Linux, and macOS.

The board also supports Imagimob Studio platform for creating machine-learning models and using them on small devices. It helps you collect data, build models, and put them on devices like the PSoC 6 MCU.

psoc ai evalkit software arch.PNG 381486962

Functional block diagram.jpg 1305785905
Infineon CY8CKIT-062S2-AI Evaluation Kit Block Diagram

 

The board also supports TensorFlow Lite Micro and neural network acceleration through CMSIS-DSP and CMSIS-NN. All this, along with great hardware and connectivity features like MQTT, HTTP, and AIROC Bluetooth, makes rapid prototyping and AI application development.

The Infineon CY8CKIT-062S2-AI Evaluation Kit is priced at $37.50 on Mouser Electronic and $50 on DigiKey.

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2 Comments
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Foss
Foss
19 days ago

What is the state of freedom at this Infineon MCU?
The state of freedom is better known at ESP and STM but this MCU seem to be made as alternative to stm32 that have libopencm3.
This https://github.com/Infineon/mtb-example-wifi-wlan-lowpower seem to be a example for the MCU. It require ModusToolbox. I cant find the source for ModusToolbox.
Did is miss something?

misaz
misaz
9 days ago

It is Makefile project based with open source SDK. (github Infineon/mtb-pdl-cat1 and Infineon/psoc6hal).ModusToolbox is recommended but not mandatory. Consist of Eclipse IDE and standalone tools for generating codes, both are closed source, but none of these is mandatory. They even spend effort migrating from Eclipse to VS Code which is now valid setup.

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