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CY8CKIT-062S2-AI PSoC 6 AI Evaluation Board

IFXCY8CKIT-062S2-AI PSoC 6 AI Evaluation Board

MPN: CY8CKIT-062S2-AI
Infineon Technologies
Development Boards & Kits - ARM OTHERS-MCU
510 in stock

Overview

The CY8CKIT-062S2-AI is an advanced development platform designed for Edge AI and machine learning applications using the PSoC 62 microcontroller. It integrates a comprehensive suite of onboard sensors, including a 60GHz radar, Bosch motion sensors, and Infineon digital microphones, to enable high-fidelity data acquisition for localized inference.

Why Choose This Part

This kit provides a complete hardware-software ecosystem for machine learning, eliminating the need for external sensor breakout boards. Its PSoC 6 dual-core architecture allows engineers to offload time-critical tasks to the Cortex-M0+ while running complex AI models on the Cortex-M4.

Applications

Gesture Recognition
Utilizing the onboard BGT60 60GHz radar for touchless control and human presence detection.
Predictive Maintenance
Monitoring industrial equipment via the BMI270 IMU and DPS368 pressure sensor to detect vibration and airflow anomalies.
Voice-Activated Systems
Developing local keyword spotting and audio processing using the IM72D128 high-performance digital microphones.
Context-Aware IoT Nodes
Creating smart home devices that fuse environmental data from the BMM350 magnetometer and pressure sensors.

Key Specifications

Contents Board(s)
Embedded Yes, MCU, 32-Bit
Interface RF
Sensitivity 60GHz
Sensor Type Accelerometer, Gyroscope, Magnetometer, Microphone, Pressure, Radar
Utilized IC / Part BGT60, BMI270, BMM350, DPS368, IM72D128

Getting Started

Developers should use the ModusToolbox Software Environment, which includes the Imagimob AI toolchain for training and deploying machine learning models. The board features an onboard KitProg3 debugger/programmer and is compatible with Arduino Uno V3 shields for expanded hardware functionality.

Also Consider

STM32H747I-DISCO STMicroelectronics - Provides significantly more processing power and a dedicated neural networking accelerator for more demanding vision and audio AI tasks.