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Infineon Advanced Technologies for Next Generation Machine Learning
Intelligent solutions that bring real time insight to automotive, industrial, and smart home applications
Infineon’s Edge AI product portfolio enables the creation of responsive, connected, and intelligent systems across diverse markets. By combining low power processing, advanced security, and hardware accelerated machine learning, Infineon technology helps designers build solutions that improve safety, efficiency, and quality of life.
Key areas of impact include:
- Automotive: ADAS and autonomous driving solutions interpret surroundings in real time to enhance safety and reduce the risk of accidents.
- Industrial: Edge ML improves predictive maintenance, anomaly detection, and process optimization for smarter factory performance.
- Smart Home and Building Automation: Intelligent devices learn user behavior, detect anomalies, and optimize energy usage to improve comfort and efficiency.
PSOC™ Edge Microcontrollers for Machine Learning
Infineon’s PSOC™ Edge series is the newest family of microcontrollers designed for advanced compute and control at the edge. With hardware assisted machine learning processing and rich peripheral integration, these MCUs support intuitive human machine interfaces and real time responsiveness in power conscious applications.
Get to Know PSOC™ Edge
Edge AI continues to transform how devices operate, learn, and interact with users. Infineon provides a complete system approach for edge intelligence, giving developers powerful tools for creating differentiated, user focused devices. PSOC™ Edge pairs hardware accelerated neural network processing with always on low power operation and robust security designed for modern edge applications.
The platform combines machine learning acceleration, extensive peripheral support, and advanced security through Infineon Edge Protect Category 4. Developers benefit from ModusToolbox software tools, DEEPCRAFT AI Suite model development, and Zephyr RTOS enablement for flexible design and deployment.
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
Hardware
PSOC™ Edge E84 Evaluation Kit (KIT_PSE84_EVAL)The PSOC™ Edge Evaluation Kit supports the PSOC™ Edge E84 MCU and includes multimedia, ML, and connectivity features such as a custom MIPI DSI display, audio interfaces, and AIROC Wi Fi and Bluetooth connectivity. It is fully compatible with the Zephyr OS open source platform. | PSOC™ Edge E84 AI Kit (KIT_PSE84_AI)The PSOC™ Edge E84 AI Kit is an advanced platform for rapid development of ML powered applications. It includes the PSOC™ Edge E84 MCU, SWD debug header, MIPI DSI connector, speaker interface, USB host and device interfaces, expansion headers, IMU, magnetometer, barometric pressure sensor, radar, dual microphones, and an image sensor. |