Infineon joins hands with Edge Impulse to expand edge AI capabilities and bring more platform options based on machine learning models to Bluetooth customers

This collaboration provides customers with additional flexibility and platform options for developing and deploying machine learning applications natively in systems based on PSoC™ 63 ^Bluetooth® Low Energy microcontroller ^devices . The controller device delivers 150-MHz Arm ^® CPU performance, low-power connectivity and a rich suite of peripheral options. For example, the CY8CKIT-062-BLE Pioneer Kit with E-Ink display module ( CY8CKIT-028-EPD ) contains an inertial measurement unit, microphone and temperature sensor, which supports edge IoT designed for low power consumption and low cloud cost. The environment-optimized system uses AI models to process real data collected by sensors.

Infineon's PSoC™ 63 Bluetooth® Low Energy ^{microcontroller} device uses a dual-core chip architecture based on Arm® ^Cortex® - ^M4F and Arm® ^Cortex® - ^M0 +, integrating Bluetooth 5.2 Low Energy, configurable voltage and frequency settings, built-in hardware security, cutting-edge capacitive interfaces and more. As the only 150 MHz Bluetooth Low Energy microprocessor on the market, the Infineon PSoC™ device combines power efficiency, small size and programmability, making it a perfect fit for edge IoT that benefits from running advanced deep learning algorithms. application.

Edge Impulse's products simplify the process of collecting and building data sets, design algorithms using pre-built building blocks, validate models with real-time data, and deploy fully optimized production on edge targets such as the PSoC™ 63 ^Bluetooth® Low Energy microcontroller Ready plan.