Infineon Technologies Introduces New PSOC Edge MCU Family Heightened for ML Applications

By Chad Cox

Production Editor

Embedded Computing Design

May 16, 2024

Sponsored Blog

Image Credit: Infineon Technologies

Munich, Germany. Infineon Technologies AG introduced its new PSOC Edge MCU family consisting of the E81, E83, and E84 heightened for machine learning (ML) applications and delivering a scalable range of performance, features, and memory possibilities. The three MCUs support a variety of peripheral sets, on chip memory, hardware security features, and a variety of connectivity options including USB HS/FS with PHY CAN, Ethernet, WiFi 6, BTBLE, and Matter.

The PSOC Edge E81 utilizes ARM Helium DSP technology, while the E83 and E84 leverage the Arm Ethos-U55 micro-NPU processor providing a 480x enhancement in ML performance when juxtaposed with general Cortex-M systems. All solutions support the Infineon NNlite neural network accelerator for ML applications in the low-power compute domain.

Ideal applications for the PSOC Edge E8x are Human Machine Interface (HMI) in appliances and industrial devices, smart home, security systems, robotics, and wearables. The E83 and E84 MCUs deliver advanced competences for HMI implementations, including ML-based wake-up, vision-based position detection, and face/object recognition. The PSOC Edge E84 series adds low-power graphics display (up to 1028x768). All three support voice/audio sensing for activation and control.

According to Infineon, its hardware design support includes an evaluation base board with Arduino expansion header, sensor suite, BLE connectivity for provisioning, and Wi-Fi for smart phone and cloud connectivity. The family is supported by Infineon’s ModusToolbox* software platform providing a collection of development tools, libraries, and embedded runtime assets for control during the design experience.

Steve Tateosian, SVP of Industrial MCUs, IoT, Wireless and Compute Business, Infineon commented, “Infineon’s innovative new PSOC Edge E8 series of devices use ML capabilities to compute responsive AI while balancing performance and power requirements and providing embedded security for connected home devices, wearables, and industrial applications. As a leading provider of MCUs, we are committed to delivering solutions that extend the capabilities of future IoT systems.”

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*Imagimob Studio is an Edge AI development platform, integrated into ModusToolbox, that delivers end-to-end ML development capability, from data into model deployed. Starter projects and Imagimob's Ready Models make it simple to get started. When used with PSOC Edge, Imagimob makes it possible to rapidly build and deploy state of the art machine learning models for the edge.

Chad Cox. Production Editor, Embedded Computing Design, has responsibilities that include handling the news cycle, newsletters, social media, and advertising. Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature.

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