Artificial Intelligence

We enable and provide AI – for reliable and efficient AI at the edge

Ever wondered how your devices can become smarter and more efficient? Edge AI is the answer. Learn about the tech that's bringing intelligence to the edge and the innovative microcontrollers that make it possible.

Anguilla
Edge AI
Article

Oct 14, 2025

Edge AI: Unlocking the power of AI in the physical world

Imagine a world where your home adjusts its temperature and lighting to your liking, without you lifting a finger. Where your car anticipates and responds to potential hazards on the road, ensuring a safer journey. Where healthcare devices can detect anomalies in your vital signs, alerting healthcare professionals to potential issues before they become serious. This is the promise of Edge AI.

Artificial Intelligence is no longer confined to the cloud. As AI moves into robots, smart homes, industrial equipment, autonomous vehicles, and connected devices, success depends on more than AI models alone. It requires seamless integration of sensing, computing, connectivity, security, and software across edge and cloud environments.

Infineon is at the core of Edge AI.

Read more about Infineon’s Edge AI technology and solutions here.

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Edge AI use cases: Where intelligence becomes real

Edge AI offers valuable benefits and unlocks customer value fast. It brings:

  • Faster Decisions: Real-time responses without cloud delays.
  • Greater Reliability: Systems continue operating even when connectivity is interrupted.
  • Stronger Privacy: Sensitive data can stay local and under user control.
  • Improved Efficiency: Only relevant information is transmitted instead of raw data streams.

Typical Edge AI applications

 
  • Smart Homes and Buildings: Infineon makes buildings smart at all levels with AI-powered technologies. We make areas of a building such as heating/ventilation/air conditioning, lighting or access control smarter by enabling presence detection, air quality monitoring, failure detection (predictive maintenance) and many other use cases. Our product portfolio of sensors, microcontrollers, power semiconductors and connectivity solutions enable buildings to collect meaningful data, gain insights, and make better decisions to optimize operations according to occupant needs. This includes applications such as intelligent lighting control, demand-based ventilation and thermal management. Our solutions make buildings greener, more efficient and more intuitive. 
  • Health, Lifestyle and Wearables: Infineon supports the next generation of health and wellness technologies with sensor, computing, security, connectivity and power management solutions. Our products and solutions form the basis for health monitoring algorithms in lifestyle and healthcare wearables, enabling highly accurate sensing of altitude, location, vital signs and sounds while consuming the least amount of power. While the current generation of wearables relies mainly on algorithms in the cloud, the next generation of wearables will use sophisticated AI on the device itself.
  • Smart Car: Infineon's Edge AI solutions play a crucial role in the automotive industry, enabling vehicles to become increasingly autonomous, connected, and electrified. Our AI-powered technologies support advanced driver-assistance systems (ADAS), such as lane departure warning, adaptive cruise control, and automatic emergency braking. Additionally, our solutions enable the development of autonomous vehicles, which rely on complex AI algorithms to process vast amounts of data from various sensors, including cameras, radar, and lidar. Our sensors, microcontrollers, and power semiconductors, provide the necessary building blocks for the automotive industry to create safer, more efficient, and more comfortable vehicles. Furthermore, supporting the development of vehicle-to-everything (V2X) communication, which enables vehicles to communicate with other vehicles, infrastructure, and pedestrians, enhancing road safety and reducing traffic congestion.
  • Industry: With our Edge AI solutions we are also enabling the creation of smart factories and Industry 4.0 applications. Our technologies support predictive maintenance, quality control, and process optimization. This allows manufacturers to reduce downtime, increase productivity, and improve product quality. Additionally, we enable the development of autonomous robots and machines, which can perform complex tasks with increased accuracy and efficiency. Our Edge AI solutions support the development of industrial IoT applications, such as condition monitoring, asset tracking, and supply chain optimization, enabling manufacturers to make data-driven decisions and stay competitive in a rapidly changing market.

Winning Edge AI requires mastering the entire system

The development isn't standing still. We are spotting new trends and growth drivers for edge AI.  One trend we're seeing is that more and more companies are recognizing the transformative potential of generative models at the edge. Gen AI at the edge enables AI processing directly on embedded devices, minimising the need for constant communication with the cloud.  

And there is even more: AI is becoming agentic, multimodal, privacy-first and increasingly autonomous.

Together, these growth drivers are pushing intelligence out of the cloud and closer to where data is created, where decisions are needed and where action happens: at the edge.

As AI moves into the physical world, success will no longer be determined by the intelligence of a single chip, but by how well an entire system works together. So, as you think about your next Edge AI product, start with the experience you want to create, and then design sensing, computing, connectivity, security, and software as one integrated system.  
 

Intuitive sensors - where intelligence begins

AI can only act on what it can perceive. Sensors capture the signals of the physical world and transform them into the data that makes intelligence possible. They are the eyes, ears, and senses of every Edge AI system. 

Microcontrollers – the “brains” of Edge AI

At the heart – or rather the head – of Edge AI lies the hardware that enables it. Microcontrollers serve as the "brain" of edge devices, processing data in real-time and making decisions without relying on the cloud. Infineon's PSOC™ Edge and AURIX™ microcontrollers play a crucial role in unlocking the potential of Edge AI. They provide the necessary processing power, memory, and interfaces to connect sensors, actuators, and other devices, allowing for the creation of intelligent systems that can perceive, process, and respond to their environment. By integrating AI capabilities into these microcontrollers, edge devices can perform complex tasks such as image recognition, natural language processing, and predictive analytics, all while minimizing latency and maximizing efficiency.

Security - protecting intelligence at every layer

Edge AI introduces new security challenges. Sensitive data must remain private. Devices must be protected against tampering. AI software and models must be safeguarded from theft and unauthorized modification.

Infineon's security solutions provide:

  • Data security and privacy for applications such as voice and gesture recognition
  • Protection against unauthorized access and manipulation
  • Secure boot and hardware root of trust
  • AI model and software IP protection
  • Security architectures designed to support global compliance requirements

Discover Infineon’s solutions in more detail

PSOC™ Edge

The PSOC™ Edge family is a new generation of microcontrollers that accelerates Edge AI across diverse applications. Combining a high-performance Arm Cortex-M core with a dedicated AI engine, it enables real-time, cloud-independent AI tasks such as image recognition, natural language processing, and predictive analytics. Typical use cases include smart home (voice control, gesture recognition), industrial automation (predictive maintenance, anomaly detection, quality control), healthcare devices, and automotive systems. With a focus on performance, power efficiency, and security, PSOC™ Edge aims to speed Edge AI adoption for intelligent, connected, autonomous systems. 

Learn more
PSOC edge
PSOC edge
AURIX™

The AURIX™ family is a high-performance, safety-critical microcontroller line that supports Edge AI in demanding domains such as automotive, industrial automation, and healthcare devices; its multicore architecture, strong processing capabilities, and advanced security enable real-time handling of large data volumes while meeting stringent safety requirements. Integrated AI enables predictive maintenance, anomaly detection, and autonomous decision-making—examples include automotive ADAS and autonomous driving, and industrial uses like predictive maintenance, quality control, and process optimization. 

Learn more

Software: key for enabling Edge AI

woman coding software

The role of software in Edge AI is multifaceted and plays a crucial part in unlocking the full potential of edge devices. The right software allows handling constraints like limited compute, memory, and bandwidth while ensuring security, reliability, and scalability. Therefore, software solutions for Edge AI must be highly optimized, efficient, and adaptable, support a wide range of AI workloads from computer vision to natural language processing, empowering developers to build innovative devices that transform industries and revolutionize the way we live and work. In the rapidly converging fields of embedded systems and artificial intelligence, engineers rely on comprehensive software ecosystems for Edge AI development with accelerated production paths. 

The following article focuses on Edge AI models that can enable different use cases on Infineon hardware.

DEEPCRAFT™ AI Suite: Enabling Edge AI for all skill sets

Infineon's DEEPCRAFT™ software provides a comprehensive set of AI tools, models, solutions and a development platform. The DEEPCRAFT™ AI Suite supports nearly any Edge AI use case, and the entire offering is optimized for Infineon's microcontrollers, such as PSOC™ Edge and AURIX™. Armed with the Infineon MCUs and sensors alongside DEEPCRAFT™ software, developers can create edge devices for use cases that range from smart home automation, to industrial predictive maintenance, and autonomous vehicles. For example, DEEPCRAFT™ can be used to develop a smart home system that can recognize gestures and adjust lighting and temperature.

  • DEEPCRAFT™ AI Hub – The DEEPCRAFT™ AI Hub is a centralized place to find all DEEPCRAFT™ software. Organized by use case, it’s simple to navigate to the right platform, tools, and models that suit your needs, providing a quicker path to market. Developers can also get inspiration from a wide variety of open-source models and case studies across industrial, consumer and automotive applications.
  • DEEPCRAFT™ Studio – Developers can use DEEPCRAFT™ Studio's unique and powerful modeling capabilities to make custom Edge AI models with any time-series or image data. The end-to-end, deep learning-based platform enables data collection, preprocessing, model training, evaluation and finally optimization for target hardware. When your model is production-ready, streamlined deployment paths are available via ModusToolbox™ and AURIX™ Development Studio for the Infineon microcontroller of choice. DEEPCRAFT™ Studio is designed to be intuitive enough for non-experts to be able to successfully develop and take Edge AI models to market. DEEPCRAFT™ Studio Accelerators offer a fast-track for development: start your project using these open-source models with datasets, preprocessing, model architecture and instructions. For more expert users, the intuitive Graph UX interface gives unique insight into the model development process, allowing for more advanced machine learning.

Learn more about the DEEPCRAFT™ AI Suite at www.infineon.com/deepcraft

As a global semiconductor manufacturer, we enable customers and partners to create energy-efficient, high-performance, and reliable AI applications. Our products, software, tools, and services support the development of AI-based applications, from data and ML pipelines to high-performance, low-power AI-enabled MCUs.

By understanding the role of semiconductors in AI and by thinking Edge AI not only from a silicon but from a system perspective, we can unlock the full potential of this technology and create a more efficient, connected, and intelligent world.

Child looking at robot