German electronics company Infineon is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC 63 Bluetooth LE microcontroller (MCU).

Developers of AI-enabled IoT applications can now also build edge machine-learning (ML) applications using the Edge Impulse Studio environment for deployment on low-power PSoC 63 Bluetooth LE MCUs.

This collaboration provides users with flexibility and choice-of-platforms to develop and configure ML applications natively for systems based on PSoC 63 Bluetooth LE MCU devices, which provide 150MHz Arm CPU performance with low-power connectivity and a suite of peripheral options.

For example, the CY8CKIT-062-BLE Pioneer kit coupled with the E-Ink CY8CKIT-028-EPD display shield board incorporates an inertial measurement unit, microphone and temperature sensor. This supports applications that collect real-world sensor data for processing by Tiny Machine Learning-based AI models in systems optimised for low-power, low-cloud-cost edge IoT environments.

The devices have a dual-core Arm Cortex-M4F and Cortex-M0+ chip architecture, Bluetooth LE 5.2, configurable voltage and frequency settings, built-in hardware-based security, capacitive interfaces, and more on a single chip. This variant of the PSoC device family is a combination of power efficiency, size and programmability making it suitable for edge IoT applications that benefit from the ability to run ML algorithms.

Edge Impulse’s products streamline the entire process of collecting and structuring data sets, designing algorithms with pre-built building blocks, validating the models with real-time data, and deploying the optimised production-ready results to edge targets such as the PSoC 63.

“By collaborating with Edge Impulse on the PSoC 63 Bluetooth LE MCU, Infineon customers can bring their solutions faster to market for embedded AI and ML use cases,” said Shantanu Bhalerao, vice president at Infineon. “Infineon is committed to enable our customers to develop their own AI and ML models, or use a model out of a suite of predefined models available from Infineon or our valuable partners. Infineon is excited to add Edge Impulse to our growing partner network, and will continue to work with our extensive group of AI and ML partners that complements our offerings.”

Zach Shelby, CEO of Edge Impulse, added: “With its advanced processing capabilities and low power consumption, the PSoC 63 Bluetooth LE MCU is an ideal vehicle for the next generation of edge devices, from wearables to industrial monitoring. Matched with the Edge Impulse platform, embedded developers can more quickly develop and deploy powerful solutions for an exciting range of edge ML applications.”

With more than 75,000 developers and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across a large hardware ecosystem.