Infineon Technologies announces partnership with Edge Impulse to extend Tiny Machine Learning based AI development tools for PSoC™ 63 Bluetooth® LE microcontrollers (MCUs).
Developers of AI-enabled IoT applications can now use the Edge Impulse Studio environment to build edge machine learning (ML) applications and deploy them on the high-performance, low-power PSoC 63 Bluetooth LE MCU.
With this collaboration, customers will have the ability to natively develop and configure ML applications for systems based on the PSoC 63 Bluetooth LE MCU device, which offers 150 MHz Arm® CPU performance with low-power connectivity and a rich peripheral suite. Allows for flexibility and platform choice. option. For example, the CY8CKIT-062-BLE Pioneer Kit and E-Ink Display Shield Board (CY8CKIT-028-EPD) includes an inertial measurement unit, microphone, and temperature sensor. It is a low-power, low-cloud-cost optimized system for edge IoT environments that supports applications that collect real-world sensor data for processing by Tiny Machine Learning-based AI models.
Infineon’s PSoC 63 Bluetooth LE MCU devices feature dual-core Arm® Cortex®-M4F and Arm Cortex-M0+ chip architectures, Bluetooth LE 5.2, configurable voltage and frequency settings, built-in hardware-based security, and state-of-the-art features. I have it. Put artistic capacitive interfaces and more on a single chip. The only 150 MHz Bluetooth LE MCU on the market, this variant of the Infineon PSoC device family is a powerful combination of power efficiency, size and programmability for edge IoT applications that benefit from the ability to run advanced ML algorithms. Optimal. .
Edge Impulse products help you collect and structure data sets, design algorithms using pre-built building blocks, validate models using real-time data, and generate fully optimized, production-ready results. Streamline the entire process of deploying to edge targets such as PSoC 63 Bluetooth. Le Mucu.
“By partnering with Edge Impulse on PSoC 63 Bluetooth LE MCUs, Infineon customers will be able to bring their solutions to market faster for embedded AI/ML use cases. We are committed to developing ML models or making them available from a suite of pre-defined models available from Infineon or our valued partners.Infineon has added Edge Impulse to our growing partner network. We are thrilled to be added to the family and will continue to work with a broad group of AI/ML partners that complement our offerings,” said Shantanu Valerao, Vice President Bluetooth Product Line at Infineon. .
“With its advanced processing power and low power consumption, the PSoC 63 Bluetooth LE MCU is the ideal vehicle for next-generation edge devices, from wearables to industrial monitoring,” said CEO and co-founder of Edge Impulse. One Zach Shelby said: “Combined with the Edge Impulse platform, embedded developers can more quickly develop and deploy powerful solutions for an exciting range of edge ML applications.”
