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EBV - Embedded Processing - Trends - Intro (LC)

The future of Embedded Processing technology

Not long ago, embedded systems were limited to a few niche applications. Today, they are everywhere. From factories to household appliances, from expensive medical equipment in hospitals to ubiquitous IoT devices – whenever smart solutions are required or connectivity is advancing, embedded systems are typically at the heart of innovation.
 

Smaller, more powerful, and efficient – Key trends for MCUs, MPUs, & more

Embedded systems are capable of capturing, analysing, and responding to ever-increasing amounts of data. Centralised architectures supported by high-performance computing (HPC) are becoming a cross-industry trend. This reduces system complexity and enables advanced AI and real-time applications. HPC is driving next-generation interfaces, autonomous systems, and real-time data processing in automotive, industrial, and consumer electronics.

Embedded processors with integrated AI accelerators enable edge AI applications, where data processing happens locally in real time. This reduces latency and minimises network traffic to cloud systems. Edge AI supports immediate decision-making in automotive sensor fusion, industrial robotics, wearable health monitors, and smart city applications, improving data privacy, efficiency, and responsiveness.

 

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Technology trends at a glance

 

The development of smaller process nodes (e.g., 28/22 nm for MCUs, 7 nm, 5 nm, 3 nm for high-end MPUs/AI/FPGAs) increases transistor density, improves energy efficiency, and boosts the performance of embedded systems.
Combining high-performance processors with energy-efficient processors optimises performance and power consumption. The adoption of open-source RISC-V cores also promotes customisation and innovation in embedded designs.
Dynamic frequency scaling and power management techniques ensure high energy efficiency even with increasing clock rates and performance demands.
The shift to BFO architectures streamlines system design, shortens boot times, and enhances security by reducing external memory dependencies.
Modern embedded processors feature a wide range of peripherals, such as communication interfaces (e.g., I3C, MIPI-CSI, MIPI-DSI, Ethernet, CAN, USB), connectivity options (e.g., Wi-Fi, Bluetooth, UWB, Matter), timers and PWM controllers for motor control and precision applications, and analogue functions like ADCs and DACs, enabling versatile application development.
Increasing focus on hardware security, including secure boot mechanisms, encryption engines, secure storage, tamper detection, and trusted execution environments (TEE), to counter rising cyber threats.
Integration of neural processing units (NPUs) and AI accelerators supports real-time machine learning and inference for applications like image recognition, natural language processing, and predictive maintenance.
Developers prioritise ultra-low-power designs, incorporating optimised sleep modes and energy harvesting to extend battery life in portable and mobile devices.
Techniques like system-in-package (SiP) and 3D-integrated circuits (3D-ICs) reduce form factors while enhancing functionality, leading to more compact and efficient embedded solutions.

 

 

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Increasing precision – Key trends for image sensors

Technologies such as global shutter, stacked architectures, and hyperspectral imaging are revolutionising the precision, efficiency, and performance of optical sensors across industries. These sensors support applications ranging from automotive ADAS to medical diagnostics and smart home devices.

 

Technology trends at a glance

 

Sensors with hundreds of megapixels for detailed imaging (e.g., for advanced industrial inspection).
Pixels under 1.0 µm improve image quality in compact designs.
Enhances light sensitivity in low-light conditions.
Faster image capture through separate pixel and processing layers.
Eliminates motion distortion for high-speed imaging.
Enables precise depth mapping and 3D imaging.
Captures multiple spectral bands for detailed analysis (e.g., SWIR, NIR).
Handles high-contrast environments with improved light range.
Optimised for IoT and battery-powered devices.
Real-time processing reduces the need for external computation (e.g., motion detection, background removal).

 

 

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Solutions for tomorrow’s trends

EBV offers one of the most comprehensive portfolios of semiconductor manufacturers in the industry, ensuring you always have access to state-of-the-art embedded processing solutions and image sensors. With our engineers, technical marketing specialists, and their deep market and application knowledge, we can help you find the right solution for your products.

 

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