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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.
PSOC™ Edge E81 Product Brief
PSOC™ Edge E83 Product Brief
PSOC™ Edge E84 Product Brief
Learn More: PSOC™ Edge E84 MCU
Download ModusToolbox™ Software
Learn about DEEPCRAFT™AI Solutions
About Infineon
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.
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 »
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.
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.
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 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.
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
Kickstart Edge AI projects today with the following PSOC Edge evaluation platforms:
