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Microcontroller for Artificial Intelligence

Artificial Inteligence is not limited to high end applications anymore and has entered the embedded world within the last decade.

Microcontrollers are central to the increasing integration of Artificial Intelligence (AI) in the automotive industry, enhancing capabilities from safety to performance. Infineon's AURIX™, TRAVEO™, and PSOC™ automotive families of microcontrollers play a significant role in this evolution with versatile AI applications such as predictive maintenance, intrusion detection, and optimized thermal management enhance vehicle performance and security.

Microcontroller for Artificial Intelligence

AURIX™ TC4x enables the use of Embedded AI

AI and neural networks are transforming the automotive industry by reducing costs, driving innovation, and improving performance. Infineon’s AURIX™ TC4x integrates AI with microcontrollers, enabling real-time applications like autonomous driving and eMobility. Its architecture combines a TriCore CPU cluster and a SIMD-based PPU for efficient AI tasks like linear algebra and signal processing. Infineon, with Fraunhofer IKS, developed SAFE AI processes compliant with ISO 26262, 8800, and 21448.

Applications with Embedded AI:

Advanced Driver Assistance Systems: Domain/zone control, intrusion detection, and predictive modeling.
Traction Inverter: AI-driven motor control enhances energy efficiency and extends driving range. Virtual sensors monitor SiC/GaN power modules.
On-board Charger: Adaptive control improves power distribution; virtual sensors optimize cooling.
Battery Management Systems: AI enables accurate battery state prediction, extending range and speeding up charging.
Infineon’s DEEPCRAFT™ Edge AI software, paired with AURIX™ Development Studio, speeds up AI model creation with pre-trained models, improved data collection, and seamless hardware deployment.

Artificial Intelligence using PSOC™ Automotive

Infineon's PSOC™ Automotive microcontrollers (MCUs) integrate artificial intelligence (AI) to enhance human-machine interfaces, smart sensing, and general-purpose applications in vehicles. PSOC™ Automotive 4 integrates capacitive sensing technology for Human Machine Interface (HMI) applications enhancing user experience by facilitating gestures over non-uniform surfaces or compensating for surface gradients.

Applications of AI on PSOC™ Automotive:

• Sensors for liquid-level sensing, distinguishes between liquid and foam and is insensitive to the size and shape of the liquid container. AI reduces tuning time from weeks to hours for liquid-level sensing.

• Trackpads and touchscreens, support unusual shapes, sizes, and requirements. With AI, algorithm development is reduced to weeks after collecting training data, whereas the traditional approach takes months.

Development flow supported by AI:

The flow is designed to take your project from data collection to the creation of interfaces. Infineon’s End to End Machine Learning Solution with DEEPCRAFT™ & Modus Toolbox ML are under development. The DEEPCRAFT™ makes it easy for you to use machine learning in your edge devices.

TRAVEO™ T2G enables the use of Embedded AI on the Edge

TRAVEO™ T2G offers high performance, advanced human-machine interfaces, and robust security for automotive applications, among them: AI applications, including predictive maintenance, intrusion detection, and thermal management, enhancing vehicle performance and security, besides supporting the ARM ecosystem for AI training, development, and deployment via ModusToolbox™.

Versatile Applications of AI: Sensors, Predictive Maintenance, Gateway & Security, Predictive & Efficiency: AI enables Higher Energy Efficiency as well as Predictive Thermal management

Artificial Intelligence in BCM, Body domain and Zones: Rain sensor, Window pinch detection, Networking Security, Predictive Maintenance, Predictive Maintenance: Accuracy increase of motor control, HVAC Loop, Thermal Management

Development flow supported by AI: The flow is designed to take your project from data collection to the creation of interfaces. Infineon’s End to End Machine Learning Solution with DEEPCRAFT™ & Modus Toolbox ML are under development. The DEEPCRAFT™ makes it easy for you to use machine learning in your edge devices.

PSOC™ Edge enables the use of Embedded AI on the edge

PSOC™ Edge series 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 Arm Ethos-U55 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.

Support for “always-on” sensing and response makes the devices ideal for advanced IoT devices such as smart home, security, wearables, robotics, and many more. The family of devices come and ample on-chip memories to support most advanced applications PSOC™ Edge consists of dozens of devices that provide scalability for increasingly sophisticated next-generation intelligent systems, while enabling software reuse and portability.

PSOC™ Edge is supported by a rich set of enablement with the industry-recognized ModusToolbox software including integration with the DEEPCRAFT™ Studio AI solution and off-the shelf DEEPCRAFT™ Ready Models.