PSOC™ Edge is now available - Infineon’s high-performance MCU family built for the future. With machine learning at the edge, advanced HMI, low power, and built in security, it’s designed to power smarter, more intuitive user experiences in next-generation devices.
Infineon now offers two kits to kickstart your PSOC™ Edge development journey: the PSOC™ Edge E84 Evaluation Kit and the PSOC™ Edge E84 AI Evaluation Kit.
Want to learn more? Check out our Developer Journey Guide to discover, purchase kits, evaluate, develop, deploy and manage!
Information hub
Edge AI is changing the way we live, work, and interact. Infineon is your partner of choice, delivering a full system solution for Edge AI that empowers developers to create innovative, user-centric devices. PSOC™ Edge enables this transformation by combining hardware-accelerated neural network compute support with "always-on" low-power operation and high-performance capabilities. This fully integrated microcontroller features right-sized peripherals, on-chip memories, and advanced security with Infineon Edge Protect Category 4 to meet the demands of modern edge AI applications.
PSOC™ Edge, with its advanced machine learning acceleration and extensive peripheral support, is complemented by the DEEPCRAFT™ AI Suite and ModusToolbox™, providing a comprehensive solution for developers. The DEEPCRAFT™ AI Suite delivers an end-to-end platform for building and optimizing AI/ML models for edge applications, while ModusToolbox™ offers powerful software tools, libraries, and middleware to simplify design, debugging, and deployment. Additionally, Zephyr RTOS enablement ensures portability, scalability, and seamless integration for next-generation MCU designs built on PSOC™ Edge.
Visit the PSOC™ Edge Arm© Cortex© Microcontroller webpage for additional information
The PSOC™ Edge Family of Arm® Cortex®-M microcontrollers feature high-performance, low-power, secured MCUs with hardware-assisted machine learning (ML) acceleration for next generation applications. The PSOC™ Edge devices are based on high-performance Cortex™-M55, including Helium DSP support paired with machine learning hardware accelerators intended to accelerate neural networks in Machine Learning and AI applications.
The PSOC™ Edge family supports an extensive set of peripheral sets, on-chip memories, timers, robust hardware security features and comprehensive connectivity options, built for a variety of consumer and industrial applications where device based intelligent intuitive interaction is rapidly evolving, including appliances, speakers, wearables, robotics, and other smart home devices including connected IoT products.
In addition, PSOC™ Edge is supported by a rich set of enablement including the industry-recognized ModusToolbox™ software including integration with the DEEPCRAFT™ Studio and its off-the shelf ML models provided Ready Models.
PSOC™ Edge Family
PSOC™ Edge Family
PSOC™ Edge E81 Family
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.
The PSOC™ Edge E81 series are based on high-performance Cortex™-M55, including Helium DSP support 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 E81 features always-on acoustic activity detection capability that enables HMI operation with low active and standby power consumption supporting longer battery life for battery powered products.
PSOC™ Edge E82 Family
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 E83 Family
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 E84 Family
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.
PSOC™ Edge E84 provides support for advanced graphics with 2.5D Graphics Processor Unit for rendering images and text and a display controller with MIPI-DSI/DBI interface with up to 1024x768. The PSOC™ Edge E84 also features always-on acoustic activity detection capability that enables HMI operation with low active and standby power consumption supporting longer battery life for battery powered products.
Order and discover collateral, documents, design support resources, etc.
Order and discover collateral, documents, design support resources, etc.
PSOC™ Edge Microcontrollers and software solutions are built on five core pillars that empower developers to create innovative, efficient, and intelligent edge devices. From delivering high-performance with ultra-low power consumption to enabling state-of-the-art audio and voice capabilities, robust security features, advanced graphics, and seamless machine learning integration with DEEPCRAFT™ AI Suite, these pillars provide the foundation for next-generation designs in Edge AI.
High-Performance, low power
The Energy Efficient Edge
The Energy Efficient Edge is about enabling the advanced processing and vast memory needed to realize the promise of Edge AI without exceeding the energy limits of constrained devices.
The emphasis for Energy Efficient Edge devices is around power per inference to achieve value-added experiences for consumers
Consumer products can be enhanced with new AI features without affecting battery life, size, operation time, and response time.
Why Energy Efficiency at the Edge is Needed
Completing compute workloads with maximum efficiency has many benefits for all types of devices
To achieve the promise of AI on the Edge, every design should minimize energy use
How to achieve the Energy Efficient Edge
- Processing Accelerators
- Optimized Memories and Power Domains
- Low Voltage Operation and Power Gating
Read more about the energy efficient edge here.
Audio and voice
The Intelligent Voice and Audio Edge
The Intelligent Voice and Audio Edge is transforming how devices interact with their surroundings by delivering seamless, natural voice and audio interfaces while maintaining ultra-low power for battery-operated systems. Devices such as wearables, smart home products, and IoT sensors can now process commands and interpret audio entirely at the edge—no cloud dependence required.
With Infineon’s PSOC™ Edge microcontrollers and the DEEPCRAFT™ AI Suite, developers can create smarter, always-on devices optimized for wake-word detection, noise suppression, beamforming, and natural language understanding—all with industry-leading energy efficiency.
Why Voice and Audio at the Edge is Transformative
Voice technology provides a natural and effortless way to engage with edge devices. When voice and audio processing are handled locally, devices can respond faster, save energy, and deliver superior user experiences.
How to achieve Voice and Audio Excellence at the Edge
- Always-On Voice Interfaces: Low-power, intelligent voice recognition for real-time interaction.
- DEEPCRAFT™ Voice Assistant: Advanced AI tools to create natural, accurate voice interfaces.
- DEEPCRAFT™ Audio Enhancement: Noise suppression, audio scene analysis, and beamforming for optimized performance in challenging environments.
Read more about the intelligent voice and audio edge here.
Security
The Secure Edge
The secured edge focuses on protecting networks, user information, and the software intellectual property of edge-device manufacturers.
Advanced security at the edge is about balancing the right security with the cost and efficiency impacts to the edge devices.
Third-party laboratory certifications are essential to verify the assertions of edge device makers.
Why Edge Security is Required
Protecting these assets are not only a valuable differentiator, but a necessity driven by new global regulatory requirements as well as the acceleration of high-value machine learning model deployments on edge devices.
Edge device security has evolved from relying solely on software solutions to incorporating physical security measures, such as those used in smart cards.
How to achieve Edge Security
- Source your MCUs and security modules from Infineon with our deep expertise in embedded security and a track record of delivering certified solutions. This helps future‑proof devices against emerging threats.
- Leverage accredited third‑party laboratories to validate all security claims. This not only reduces liability but also builds trust with customers and regulators.
- Select security features that align with your application's performance and cost requirements to maintain competitiveness without compromising safety.
Read more about the secure edge here.
Graphics
Unlocking Advanced Graphics at the Edge
PSOC™ Edge’s Graphics Subsystem brings high-performance, energy-efficient graphics to embedded devices, enabling rich, responsive human-machine interfaces (HMI). Designed to balance advanced visual processing with ultra-low power consumption, it empowers wearables, industrial panels, home appliances, and more to deliver engaging graphical experiences without sacrificing efficiency.
With a powerful Vivante GCNanoUltraV 2.5D GPU, display controller, and MIPI DSI host controller, PSOC™ Edge supports smooth animations, vector graphics, and high-resolution displays—all within the constraints of modern embedded systems.
Why Advanced Graphics at the Edge is Needed
Modern devices demand intuitive, real-time visual feedback to deliver exceptional user experiences—whether in wearables, IoT devices, or consumer appliances. Efficient edge graphics ensure advanced GUIs are possible, even in resource-constrained devices.
How to Achieve Advanced Graphics at the Edge
- Hardware-Accelerated Graphics: Vivante GPU for smooth animations, rendering, and vector-to-pixel conversion.
- Seamless Display Integration: Support for MIPI DSI and parallel(DBI) displays up to 1024x768 resolution.
- Developer-Friendly Tools: LVGL, VGLite, and ModusToolbox™ simplify development and optimization for HMIs.
Read more about unlocking advanced graphics at the edge here.
Machine Learning with DEEPCRAFT™ AI Suite
DEEPCRAFT™ AI Suite
The DEEPCRAFT™ AI Suite is Infineon’s comprehensive software ecosystem for enabling advanced Edge AI capabilities in embedded devices. Whether you're building custom AI models, optimizing existing ones for the edge, or deploying pre-tested, off-the-shelf solutions, DEEPCRAFT™ delivers the tools you need to transform your devices with low-power, intelligent features.
Through its intuitive development platform and hardware-optimized software, the suite simplifies the process of integrating AI into products, from wake-word detection to gesture recognition, and more, ensuring efficient, high-performance Edge AI solutions.
Why DEEPCRAFT™ AI Suite is Transformative
DEEPCRAFT™ makes deploying Edge AI fast, easy, and scalable for developers of all skill levels by ensuring:
- Optimal performance on Infineon MCUs with efficient, low-power operation.
- A seamless path to production, from building and optimizing models to integrating them into edge devices.
How to Leverage DEEPCRAFT™ AI Suite
- DEEPCRAFT™ Studio: Build, train, and refine custom Edge AI models for both experts and non-experts.
- DEEPCRAFT™ Model Converter: Optimize and convert models for high-performance edge hardware.
- DEEPCRAFT™ Ready Models: Deploy pre-trained, market-ready AI models in record time.
Read more about the DEEPCRAFT™ AI Suite here.
In the rapidly converging fields of embedded systems and artificial intelligence, Infineon empowers engineers with a comprehensive software ecosystem designed to accelerate development and simplify the path to production. ModusToolbox™ and Zephyr® RTOS are development ecosystems that each provide a strong foundation for embedded development, combining hardware configuration with flexible, real-time system management. DEEPCRAFT™ AI Suite complements this by enabling streamlined integration and deployment of advanced AI models. Together, these frameworks form a cohesive toolkit that support robust hardware, efficient embedded workflows, and intelligent AI innovation, helping engineering teams succeed from initial design to final deployment.
ModusToolbox™ serves as a versatile and robust ecosystem for embedded engineers, targeting hardware and firmware development for Infineon’s PSOC™ microcontrollers, including the PSOC™ Edge platform. It provides a rich toolbox designed with modularity in mind, enabling customization and scalability for a variety of applications. Key highlights of ModusToolbox™ include:
- Comprehensive Middleware Libraries: Accelerate the development process using pre-built software libraries for connectivity, sensors, security, and more.
- Cross-Platform IDE Support: Integrate seamlessly with third-party IDEs and CI/CD workflows to fit into any development environment.
- Extensive Selection of Board Support Packages (BSPs): Work directly with Infineon development kits to streamline prototyping and testing.
- IoT-Ready Solutions: Get application-specific examples for developing secure, connected IoT solutions with minimal effort.
The Zephyr® RTOS Project is an open-source, community-driven real-time operating system (RTOS), designed to provide developers with a robust, feature-rich ecosystem to build secure, portable, and highly connected embedded solutions. With support from a broad network of silicon providers, including Infineon, Zephyr® RTOS enables seamless integration of next-generation MCUs for versatile edge and IoT applications.
Learn more about PSOC™ Edge and Zephyr® RTOS here.
DEEPCRAFT™ AI Suite is Infineon's is Infineon's comprehensive Edge AI software offering, designed to help you take AI-enabled embedded products to production. No matter where you are in your Edge AI journey, you can leverage our AI Suite to add low-power, intelligent features to your embedded devices. Our software is optimized for Infineon MCUs, ensuring optimal power and performance, especially on our ML-optimized MCUs.
By simplifying AI implementation, DEEPCRAFT™ AI Suite helps engineers bring innovative and trustworthy AI functionalities to next-generation IoT edge devices, while significantly reducing time to market.
- DEEPCRAFT™ Studio – Build your custom model using our development platform. Try a DEEPCRAFT™ Studio Accelerator to fast-track your development: open-source models with datasets, preprocessing, model architecture and instructions
- DEEPCRAFT™ Model Converter – Bring your own AI model and convert it to run on Infineon MCUs
- DEEPCRAFT™ Solutions – Use our solutions for a fast, easy path to Edge AI enabled devices. From off-the-shelf DEEPCRAFT™ Ready Models to customizable DEEPCRAFT™ Audio Enhancement and DEEPCRAFT™ Voice Assistant, add AI to your products with little to no machine learning development time
- DEEPCRAFT™ AI Hub – Your one-stop-shop for everything Infineon Edge AI
Get step-by-step guidance for developing with PSOC™ Edge
PSOC™ Edge enables designers to deliver unmatched high-end user experiences for next generation devices across ranges of applications and use cases.
Target use cases and benefits for PSOC™ Edge include:
- 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.
Stay up-to-date with the latest application use cases by signing up for our newsletter.
The PSOC™ Edge E84 Evaluation Kit is a hardware evaluation platform for rapid prototyping of applications based on the PSOC™ Edge MCU family. Featuring the PSOC™ Edge E84 MCU, high-performance, low-power, secured MCUs with advanced machine learning (ML) acceleration for next generation AI/ML applications, this evaluation kit provides easy access to all the device interfaces and capabilities.
The PSOC™ Edge E84 AI Evaluation Kit is a hardware platform focused on Machine Learning (ML) and Edge AI. It enables customers to evaluate Infineon's ML platform DEEPCRAFT™ Studio, as well as ready to deploy ML models, and other software products. This evaluation kit is optimized for rapid prototyping and development of embedded systems, leveraging the versatile PSOC™ Edge E84 MCU.
Infineon extends microcontroller portfolio with new PSOC™ Edge family of products bringing high-performance power-efficient machine learning to the edge.
Infineon expands MCU range with PSOC™ Edge
The next embedded frontier: machine learning enabled MCUs
Cortex-M55 MCU gets neural network accelerator for AI-at-the-edge
Infineon’s PSOC™ Edge adds machine-learning support to its configurable microcontroller.
Infineon’s PSOC™ Edge Microcontrollers Set to Revolutionize High-Performance IoT and AI Application
A breakthrough in hardware-accelerated machine learning for IoT applications
The Next Chapter in the World of IoT: Addressing the New Wave of the IoT With Edge AI
Embedded Insiders: Securing the Edge with Infineon
Podcast4Engineers: The next generation of machine learning-enabled MCUs
The next generation of Microcontrollers for Edge AI applications has arrived
Embedded Executive: Latest PSOC™ Simplifies Power Management
Edge AI is changing the way we live, work, and interact. Infineon is your partner of choice, delivering a full system solution for Edge AI that empowers developers to create innovative, user-centric devices. PSOC™ Edge enables this transformation by combining hardware-accelerated neural network compute support with "always-on" low-power operation and high-performance capabilities. This fully integrated microcontroller features right-sized peripherals, on-chip memories, and advanced security with Infineon Edge Protect Category 4 to meet the demands of modern edge AI applications.
PSOC™ Edge, with its advanced machine learning acceleration and extensive peripheral support, is complemented by the DEEPCRAFT™ AI Suite and ModusToolbox™, providing a comprehensive solution for developers. The DEEPCRAFT™ AI Suite delivers an end-to-end platform for building and optimizing AI/ML models for edge applications, while ModusToolbox™ offers powerful software tools, libraries, and middleware to simplify design, debugging, and deployment. Additionally, Zephyr RTOS enablement ensures portability, scalability, and seamless integration for next-generation MCU designs built on PSOC™ Edge.
Visit the PSOC™ Edge Arm© Cortex© Microcontroller webpage for additional information
The PSOC™ Edge Family of Arm® Cortex®-M microcontrollers feature high-performance, low-power, secured MCUs with hardware-assisted machine learning (ML) acceleration for next generation applications. The PSOC™ Edge devices are based on high-performance Cortex™-M55, including Helium DSP support paired with machine learning hardware accelerators intended to accelerate neural networks in Machine Learning and AI applications.
The PSOC™ Edge family supports an extensive set of peripheral sets, on-chip memories, timers, robust hardware security features and comprehensive connectivity options, built for a variety of consumer and industrial applications where device based intelligent intuitive interaction is rapidly evolving, including appliances, speakers, wearables, robotics, and other smart home devices including connected IoT products.
In addition, PSOC™ Edge is supported by a rich set of enablement including the industry-recognized ModusToolbox™ software including integration with the DEEPCRAFT™ Studio and its off-the shelf ML models provided Ready Models.
PSOC™ Edge Family
PSOC™ Edge Family
PSOC™ Edge E81 Family
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.
The PSOC™ Edge E81 series are based on high-performance Cortex™-M55, including Helium DSP support 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 E81 features always-on acoustic activity detection capability that enables HMI operation with low active and standby power consumption supporting longer battery life for battery powered products.
PSOC™ Edge E82 Family
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 E83 Family
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 E84 Family
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.
PSOC™ Edge E84 provides support for advanced graphics with 2.5D Graphics Processor Unit for rendering images and text and a display controller with MIPI-DSI/DBI interface with up to 1024x768. The PSOC™ Edge E84 also features always-on acoustic activity detection capability that enables HMI operation with low active and standby power consumption supporting longer battery life for battery powered products.
Order and discover collateral, documents, design support resources, etc.
Order and discover collateral, documents, design support resources, etc.
PSOC™ Edge Microcontrollers and software solutions are built on five core pillars that empower developers to create innovative, efficient, and intelligent edge devices. From delivering high-performance with ultra-low power consumption to enabling state-of-the-art audio and voice capabilities, robust security features, advanced graphics, and seamless machine learning integration with DEEPCRAFT™ AI Suite, these pillars provide the foundation for next-generation designs in Edge AI.
High-Performance, low power
The Energy Efficient Edge
The Energy Efficient Edge is about enabling the advanced processing and vast memory needed to realize the promise of Edge AI without exceeding the energy limits of constrained devices.
The emphasis for Energy Efficient Edge devices is around power per inference to achieve value-added experiences for consumers
Consumer products can be enhanced with new AI features without affecting battery life, size, operation time, and response time.
Why Energy Efficiency at the Edge is Needed
Completing compute workloads with maximum efficiency has many benefits for all types of devices
To achieve the promise of AI on the Edge, every design should minimize energy use
How to achieve the Energy Efficient Edge
- Processing Accelerators
- Optimized Memories and Power Domains
- Low Voltage Operation and Power Gating
Read more about the energy efficient edge here.
Audio and voice
The Intelligent Voice and Audio Edge
The Intelligent Voice and Audio Edge is transforming how devices interact with their surroundings by delivering seamless, natural voice and audio interfaces while maintaining ultra-low power for battery-operated systems. Devices such as wearables, smart home products, and IoT sensors can now process commands and interpret audio entirely at the edge—no cloud dependence required.
With Infineon’s PSOC™ Edge microcontrollers and the DEEPCRAFT™ AI Suite, developers can create smarter, always-on devices optimized for wake-word detection, noise suppression, beamforming, and natural language understanding—all with industry-leading energy efficiency.
Why Voice and Audio at the Edge is Transformative
Voice technology provides a natural and effortless way to engage with edge devices. When voice and audio processing are handled locally, devices can respond faster, save energy, and deliver superior user experiences.
How to achieve Voice and Audio Excellence at the Edge
- Always-On Voice Interfaces: Low-power, intelligent voice recognition for real-time interaction.
- DEEPCRAFT™ Voice Assistant: Advanced AI tools to create natural, accurate voice interfaces.
- DEEPCRAFT™ Audio Enhancement: Noise suppression, audio scene analysis, and beamforming for optimized performance in challenging environments.
Read more about the intelligent voice and audio edge here.
Security
The Secure Edge
The secured edge focuses on protecting networks, user information, and the software intellectual property of edge-device manufacturers.
Advanced security at the edge is about balancing the right security with the cost and efficiency impacts to the edge devices.
Third-party laboratory certifications are essential to verify the assertions of edge device makers.
Why Edge Security is Required
Protecting these assets are not only a valuable differentiator, but a necessity driven by new global regulatory requirements as well as the acceleration of high-value machine learning model deployments on edge devices.
Edge device security has evolved from relying solely on software solutions to incorporating physical security measures, such as those used in smart cards.
How to achieve Edge Security
- Source your MCUs and security modules from Infineon with our deep expertise in embedded security and a track record of delivering certified solutions. This helps future‑proof devices against emerging threats.
- Leverage accredited third‑party laboratories to validate all security claims. This not only reduces liability but also builds trust with customers and regulators.
- Select security features that align with your application's performance and cost requirements to maintain competitiveness without compromising safety.
Read more about the secure edge here.
Graphics
Unlocking Advanced Graphics at the Edge
PSOC™ Edge’s Graphics Subsystem brings high-performance, energy-efficient graphics to embedded devices, enabling rich, responsive human-machine interfaces (HMI). Designed to balance advanced visual processing with ultra-low power consumption, it empowers wearables, industrial panels, home appliances, and more to deliver engaging graphical experiences without sacrificing efficiency.
With a powerful Vivante GCNanoUltraV 2.5D GPU, display controller, and MIPI DSI host controller, PSOC™ Edge supports smooth animations, vector graphics, and high-resolution displays—all within the constraints of modern embedded systems.
Why Advanced Graphics at the Edge is Needed
Modern devices demand intuitive, real-time visual feedback to deliver exceptional user experiences—whether in wearables, IoT devices, or consumer appliances. Efficient edge graphics ensure advanced GUIs are possible, even in resource-constrained devices.
How to Achieve Advanced Graphics at the Edge
- Hardware-Accelerated Graphics: Vivante GPU for smooth animations, rendering, and vector-to-pixel conversion.
- Seamless Display Integration: Support for MIPI DSI and parallel(DBI) displays up to 1024x768 resolution.
- Developer-Friendly Tools: LVGL, VGLite, and ModusToolbox™ simplify development and optimization for HMIs.
Read more about unlocking advanced graphics at the edge here.
Machine Learning with DEEPCRAFT™ AI Suite
DEEPCRAFT™ AI Suite
The DEEPCRAFT™ AI Suite is Infineon’s comprehensive software ecosystem for enabling advanced Edge AI capabilities in embedded devices. Whether you're building custom AI models, optimizing existing ones for the edge, or deploying pre-tested, off-the-shelf solutions, DEEPCRAFT™ delivers the tools you need to transform your devices with low-power, intelligent features.
Through its intuitive development platform and hardware-optimized software, the suite simplifies the process of integrating AI into products, from wake-word detection to gesture recognition, and more, ensuring efficient, high-performance Edge AI solutions.
Why DEEPCRAFT™ AI Suite is Transformative
DEEPCRAFT™ makes deploying Edge AI fast, easy, and scalable for developers of all skill levels by ensuring:
- Optimal performance on Infineon MCUs with efficient, low-power operation.
- A seamless path to production, from building and optimizing models to integrating them into edge devices.
How to Leverage DEEPCRAFT™ AI Suite
- DEEPCRAFT™ Studio: Build, train, and refine custom Edge AI models for both experts and non-experts.
- DEEPCRAFT™ Model Converter: Optimize and convert models for high-performance edge hardware.
- DEEPCRAFT™ Ready Models: Deploy pre-trained, market-ready AI models in record time.
Read more about the DEEPCRAFT™ AI Suite here.
In the rapidly converging fields of embedded systems and artificial intelligence, Infineon empowers engineers with a comprehensive software ecosystem designed to accelerate development and simplify the path to production. ModusToolbox™ and Zephyr® RTOS are development ecosystems that each provide a strong foundation for embedded development, combining hardware configuration with flexible, real-time system management. DEEPCRAFT™ AI Suite complements this by enabling streamlined integration and deployment of advanced AI models. Together, these frameworks form a cohesive toolkit that support robust hardware, efficient embedded workflows, and intelligent AI innovation, helping engineering teams succeed from initial design to final deployment.
ModusToolbox™ serves as a versatile and robust ecosystem for embedded engineers, targeting hardware and firmware development for Infineon’s PSOC™ microcontrollers, including the PSOC™ Edge platform. It provides a rich toolbox designed with modularity in mind, enabling customization and scalability for a variety of applications. Key highlights of ModusToolbox™ include:
- Comprehensive Middleware Libraries: Accelerate the development process using pre-built software libraries for connectivity, sensors, security, and more.
- Cross-Platform IDE Support: Integrate seamlessly with third-party IDEs and CI/CD workflows to fit into any development environment.
- Extensive Selection of Board Support Packages (BSPs): Work directly with Infineon development kits to streamline prototyping and testing.
- IoT-Ready Solutions: Get application-specific examples for developing secure, connected IoT solutions with minimal effort.
The Zephyr® RTOS Project is an open-source, community-driven real-time operating system (RTOS), designed to provide developers with a robust, feature-rich ecosystem to build secure, portable, and highly connected embedded solutions. With support from a broad network of silicon providers, including Infineon, Zephyr® RTOS enables seamless integration of next-generation MCUs for versatile edge and IoT applications.
Learn more about PSOC™ Edge and Zephyr® RTOS here.
DEEPCRAFT™ AI Suite is Infineon's is Infineon's comprehensive Edge AI software offering, designed to help you take AI-enabled embedded products to production. No matter where you are in your Edge AI journey, you can leverage our AI Suite to add low-power, intelligent features to your embedded devices. Our software is optimized for Infineon MCUs, ensuring optimal power and performance, especially on our ML-optimized MCUs.
By simplifying AI implementation, DEEPCRAFT™ AI Suite helps engineers bring innovative and trustworthy AI functionalities to next-generation IoT edge devices, while significantly reducing time to market.
- DEEPCRAFT™ Studio – Build your custom model using our development platform. Try a DEEPCRAFT™ Studio Accelerator to fast-track your development: open-source models with datasets, preprocessing, model architecture and instructions
- DEEPCRAFT™ Model Converter – Bring your own AI model and convert it to run on Infineon MCUs
- DEEPCRAFT™ Solutions – Use our solutions for a fast, easy path to Edge AI enabled devices. From off-the-shelf DEEPCRAFT™ Ready Models to customizable DEEPCRAFT™ Audio Enhancement and DEEPCRAFT™ Voice Assistant, add AI to your products with little to no machine learning development time
- DEEPCRAFT™ AI Hub – Your one-stop-shop for everything Infineon Edge AI
Get step-by-step guidance for developing with PSOC™ Edge
PSOC™ Edge enables designers to deliver unmatched high-end user experiences for next generation devices across ranges of applications and use cases.
Target use cases and benefits for PSOC™ Edge include:
- 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.
Stay up-to-date with the latest application use cases by signing up for our newsletter.
The PSOC™ Edge E84 Evaluation Kit is a hardware evaluation platform for rapid prototyping of applications based on the PSOC™ Edge MCU family. Featuring the PSOC™ Edge E84 MCU, high-performance, low-power, secured MCUs with advanced machine learning (ML) acceleration for next generation AI/ML applications, this evaluation kit provides easy access to all the device interfaces and capabilities.
The PSOC™ Edge E84 AI Evaluation Kit is a hardware platform focused on Machine Learning (ML) and Edge AI. It enables customers to evaluate Infineon's ML platform DEEPCRAFT™ Studio, as well as ready to deploy ML models, and other software products. This evaluation kit is optimized for rapid prototyping and development of embedded systems, leveraging the versatile PSOC™ Edge E84 MCU.
Infineon extends microcontroller portfolio with new PSOC™ Edge family of products bringing high-performance power-efficient machine learning to the edge.
Infineon expands MCU range with PSOC™ Edge
The next embedded frontier: machine learning enabled MCUs
Cortex-M55 MCU gets neural network accelerator for AI-at-the-edge
Infineon’s PSOC™ Edge adds machine-learning support to its configurable microcontroller.
Infineon’s PSOC™ Edge Microcontrollers Set to Revolutionize High-Performance IoT and AI Application
A breakthrough in hardware-accelerated machine learning for IoT applications
The Next Chapter in the World of IoT: Addressing the New Wave of the IoT With Edge AI
Embedded Insiders: Securing the Edge with Infineon
Podcast4Engineers: The next generation of machine learning-enabled MCUs
The next generation of Microcontrollers for Edge AI applications has arrived
Embedded Executive: Latest PSOC™ Simplifies Power Management