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Easy PSoC 6 MCU configuration for edge ML applications

Market news |
By Rich Pell

Machine learning development platform provider Edge Impulse and semiconductor manufacturer Infineon have announced cross-platform support for their software environments, allowing for high-powered, flexible machine learning development on the Infineon PSoC 6 microcontroller series. The collaboration gives Edge Impulse studio users access to Infineon’s ModusToolbox MCU configuration software, allowing them to natively develop and configure applications on the PSoC-6-based CY8CKIT-062S2 Pioneer Kit coupled with the CY8CKIT-028-SENSE Dev Kit, which incorporates accelerometer, gyroscope, magnetometer, microphone, pressure, and temperature sensors.

Data from these sensors can now be used with Edge Impulse for the easy generation of TinyML-based AI models, optimized for low-power, private, low-cloud-cost edge environments. These models can then be deployed on any PSoC 6-based MCU.

Edge Impulse’s development platform for ML on edge devices allows developers to quickly and easily create and optimize solutions with real-world data. The company’s platform streamlines the entire process of collecting and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target such as the PSoC 6.

Infineon PSoC 6 MCUs offer Arm Cortex® M4 plus M0+ chip architecture, multiple wired and wireless connectivity options, configurable voltage and frequency settings, built-in hardware-based security, state-of-the-art capacitive interfaces, and more, on a single chip. Their combination of power, efficiency, size, and programmability make them suited for IoT, wearable, or remote monitoring purposes that require the ability to run advanced algorithms.

Zach Shelby, CEO and co-founder of Edge Impulse says, “We couldn’t be more excited to work with Infineon to support PSoC 6 development. This is a proven hardware platform that offers an undeniable set of features, and is the perfect companion to Edge Impulse for almost any use case.”

Danny Watson, Director, Software Product Marketing Manager of Infineon Technologies says, “With the performance and extremely low power design of the PSoC 6, running TinyML models down at the edge becomes even more capable than before. By using Edge Impulse to simplify the barrier to machine learning, product makers can focus on real data they collect from the device to make an innovative and effective product.”

Edge Impulse
Infineon


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