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Infineon PSOC™ Edge Microcontrollers
Next generation MCUs for advanced Machine Learning
Infineon’s PSOC™ Edge series is their latest family of microcontrollers (MCUs) designed to revolutionize responsive compute and control applications. Featuring hardware-assisted machine learning (ML) acceleration, PSOC™ Edge empowers engineers to develop intelligent, intuitive, and context-aware products with enhanced human-machine interaction.
Built on high-performance Arm® Cortex®-M55 and Cortex®-M33 cores, PSOC™ Edge microcontrollers by Infineon integrate Helium™ DSP support, Arm® Ethos™-U55, and their ultra-low power NNLite neural network accelerator. These innovations provide scalable compute power while maintaining ultra-low power consumption—making the series ideal for IoT applications, including smart home, security, wearables, and robotics.
With on-chip Edge Protect technologies, the PSOC™ Edge series ensures robust security and privacy protection, while its 22-nm embedded-RRAM technology enables always-on sensing and response for real-time edge intelligence.
Scalable, Future-Proof Design
The PSOC™ Edge portfolio offers dozens of scalable devices with ample on-chip memory, enabling seamless software portability and design migration across the family. Whether you're developing advanced graphics, audio, or vision-based applications, the PSOC™ Edge series delivers the computational efficiency and flexibility to meet your evolving needs.
Simplified Development with Industry-Leading Tools
Backed by a strong ecosystem and supported by ModusToolbox™ software, PSOC™ Edge integrates seamlessly with Infineon's DEEPCRAFT™ Edge AI Solutions for end-to-end machine learning development and implementation.
Why PSOC™ Edge?
PSOC™ Edge enables a new generation of responsive Machine Learning-based user-centric edge devices by providing hardware accelerated neural net compute support, delivering both "always-on" low power and high-performance operation, in a fully integrated microcontroller with right-sized peripherals, on-chip memories and state-of-the-art security.
In addition to the machine learning hardware acceleration and the comprehensive peripheral set, PSOC™ Edge is supported by a rich set of enablement that developers can leverage for their current and future design needs. With strong ecosystem partners, comprehensive documentation, and the industry-recognized ModusToolbox™ software, integrated with DEEPCRAFT™ Studio development platform for Edge AI models, PSOC™ Edge provides the right hardware, software and tool offerings for a friction-free design experience and an accelerated time to market.
Target Use Cases
- Wearables devices can leverage PSOC™ Edge's hardware accelerated neural net compute for accelerating machine learning workloads as well as a multi-domain architecture enabling fine-grained power optimization.
- Smart home devices optimized by PSOC™ Edge’s always-on domain using ultra-low power while supporting always-on voice recognition, wake on touch as well as battery monitoring and other sensing applications.
- Security systems can rely on the state-of-the-art security mechanisms such as device identity and resource isolation implemented by PSOC™ Edge.
- HMI applications interfacing with PSOC™ Edge’s HMI module featuring 2.5D GPU for graphics and animation as well as the digital and analog microphones with acoustic activity and wake word detection mechanisms.
- Robotics applications like vacuum cleaners, service robots, and industrial robotics can rely on object recognition and classification capabilities and leverage the MCU neural net accelerator.
PSOC™ Edge Product Families
PSOC™ Edge E84
The PSOC™ Edge E84 family based on high-performance Cortex™-M55, including Helium DSP support paired with Arm® Ethos-U55 for advanced machine learning hardware offloading as well as a low-power Cortex-M33 paired with Infineon’s ultra-low power NNLite hardware accelerator intended to accelerate neural networks in Machine Learning and AI applications. Learn more »
PSOC™ Edge E83
The PSOC™ Edge E83 family based on high-performance Cortex™-M55, including Helium DSP support paired with Arm® Ethos-U55 for advanced machine learning hardware offloading as well as a low-power Cortex™-M33 paired with Infineon’s ultra-low power NNLite hardware accelerator intended to accelerate neural networks in Machine Learning and AI applications. In addition, the PSOC™ Edge E83 features advanced ML capabilities providing voice/audio wake-word detection with always-on acoustic activity detection mechanisms enabling friction free HMI operation and low active and standby power consumption supporting longer battery life for battery powered products.
PSOC™ Edge E82
The PSOC™ Edge E82 microcontrollers are based on high-performance Arm® Cortex®-M55, including Helium DSP support, and a low-power Arm® Cortex®-M33 paired with Infineon’s ultra-low power NNLite hardware accelerator for Machine Learning (ML) and AI applications. This family of microcontrollers also integrate a power-efficient 2.5D graphics processing unit (GPU) supporting up to 1024x768 resolution and MIPI DSI/DBI display interfaces, while featuring always-on acoustic activity detection efficient HMI operation and extended battery life. The PSOC™ Edge E82 is well-suited for applications requiring advanced graphic capabilities with low-power requirements.
PSOC™ Edge E81
The PSOC™ Edge E81 is a high capability MCU series with full DSP capabilities and entry level ML compute providing support for rapidly emerging differentiated edge device features such as anomaly detection, predictive maintenance, acoustic event detection, key word spotting, wake word detection, voice prompts, and gesture/movement/presence detection.
DEEPCRAFT Edge AI Solutions
DEEPCRAFT Studio provides a full development workflow for creating and deploying machine learning models on embedded devices. It supports data collection, pre processing, model training, model conversion, and model deployment.
DEEPCRAFT Ready Models offer pre built, fully tested ML models that enable engineers to add sound detection, gesture recognition, human presence detection, and other capabilities immediately.
Connectivity for ML at the Edge
The AIROC CYW55513 Wi Fi and Bluetooth combo chip delivers fast, secure, and power efficient connectivity for IoT, industrial, and smart home devices. While optimized for wireless communication, it plays a key role in enabling real time data exchange and cloud enhanced ML at the edge.
Featured Connectivity Solution
- AIROC CYW5551x Series Wi Fi 6 and Bluetooth 6.0 Solution
Getting Started
Kickstart Edge AI projects today with the following PSOC Edge evaluation platforms:
PSOC™ Edge E84 Evaluation Kit (KIT_PSE84_EVAL)
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PSOC™ Edge E84 AI Kit (KIT_PSE84_AI)
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