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At Embedded World 2025, NXP Semiconductors showcased a diverse array of technologies, emphasizing advancements in automotive, industrial, and smart home domains. A prominent feature of their booth was the NXP Partner Wall, displaying 28 ecosystem partners’ application-specific demonstrations across sectors like automotive and industrial. Notably, some demos integrated multiple partners, highlighting collaborative solutions in wireless connectivity and sensor integration.​

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In the ‘Brighter Places’ section, NXP presented innovations targeting building automation. A key demonstration featured building control systems managing valve operations within commercial infrastructures, underscoring NXP’s commitment to enhancing energy efficiency and operational control in modern buildings.​

The ‘Brighter Journeys’ area focused on automotive technologies. Central to this was the introduction of the S32K5 microcontroller unit (MCU), designed to support scalable vehicle architectures. The S32K5, built on a 16nm FinFET process, features Arm Cortex CPU cores running up to 800 MHz and offers power-efficient application performance. It includes optimized accelerators for network translation, security, and digital signal processing, along with an integrated Ethernet switch core, enhancing networking solutions and software reuse. ​

Another automotive highlight was the ultra-wideband (UWB) technology demonstration. Beyond enabling keyless car access, UWB facilitates applications like presence detection, child occupancy sensing, and replacing traditional kick sensors for trunk access. Its capability to detect breathing patterns also addresses safety concerns, such as identifying unattended animals in vehicles.​

NXP also showcased a digital connected cluster tailored for two-wheelers, emphasizing the evolution of motorcycle dashboards into comprehensive information centers. Collaborating with the Fraunhofer Institute, NXP introduced an infotainment system capable of 360-degree sound detection. This system alerts drivers to specific sounds, like bicycle bells, enhancing situational awareness and safety.​

In the ‘Brighter Lives’ segment, NXP addressed smart home innovations. A notable exhibit was the AI-enhanced healthcare demo, featuring a home controller interfacing with smart devices to monitor health metrics. Capabilities include fall detection and vital sign monitoring through wearable technology, enabling real-time alerts to authorities and healthcare providers in emergencies.​
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Additionally, NXP highlighted a monitoring dashboard designed for home environments, providing users with comprehensive insights into their household systems. This aligns with the growing trend of integrating intelligent monitoring solutions to enhance home safety and efficiency.​

Overall, NXP’s presence at Embedded World 2025 underscored their dedication to advancing technologies across various sectors, focusing on safety, efficiency, and enhanced user experiences.​

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At Embedded World 2025 in Nürnberg, Hailo presented its latest advancements in AI processing, focusing on the Hailo-15 AI Vision Processors. citeturn0search0 These processors are designed to enhance edge devices with robust AI capabilities, enabling real-time data processing directly on the device.

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One notable demonstration featured the integration of the Hailo-15 processor into drones developed in collaboration with System Electronics. These drones showcased advanced object and face detection capabilities, emphasizing the processor’s high performance and low power consumption—critical factors for extending battery life in aerial applications.

Another highlight was the NG Cam smart camera, equipped with the Hailo-15 processor. This device demonstrated the ability to perform zero-shot learning using the CLIP model, allowing it to recognize and describe objects without prior specific training. For instance, the camera could identify a person wearing glasses by processing the input text “man with glasses,” showcasing the versatility of AI applications in real-world scenarios.

In partnership with SolidRun, Hailo introduced a System on Module (SoM) featuring the Hailo-15H processor. This compact module delivers up to 20 TOPS (Tera Operations Per Second) and supports high-resolution imaging, including 4K video at 60 frames per second. Its robust design ensures reliable operation across various industrial environments, making it suitable for applications in security, industrial automation, and smart cities.

The Hailo-15 processor also enhances image quality through AI-driven features such as low-light denoising and high dynamic range (HDR) processing. Demonstrations highlighted the processor’s ability to improve image clarity in low-light conditions and manage high-contrast scenes effectively, ensuring that subsequent analytics, like optical character recognition (OCR), yield more accurate results.

Hailo’s commitment to edge AI extends to the automotive sector. At CES 2025, they showcased integrations of their processors in advanced driver-assistance systems (ADAS), utilizing multiple sensor modalities, including cameras, LiDAR, and radar. These integrations aim to enhance vehicle safety and autonomy by enabling real-time perception and decision-making on the edge.

Furthermore, Hailo’s processors are facilitating the deployment of large language models (LLMs) on edge devices. The upcoming Hailo-10 accelerator, expected to be available later this year, is designed to run models like GPT and Stable Diffusion directly on devices, ensuring low-latency performance and enhanced privacy by keeping data processing local.

Through collaborations with various partners, Hailo continues to push the boundaries of AI at the edge, offering scalable and efficient solutions across multiple industries. Their participation in events like Embedded World 2025 underscores their dedication to advancing edge AI technologies.

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Octavo Systems, a leader in System-in-Package (SiP) technology, presented its latest high-density integration solutions at Embedded World 2025 in Nuremberg. Their SiP approach integrates microprocessors, DDR memory, power management, and passive components into a compact BGA package, simplifying PCB design while enhancing performance. By eliminating complex DDR routing and power sequencing, Octavo enables engineers to focus on application innovation. Their products span industries from real-time audio processing to robotics and industrial automation. https://octavosystems.com

One standout demo featured Chaos Audio’s digital multi-effects pedal, leveraging Octavo’s SiP for real-time, ultra-low-latency audio processing. The pedal replaces traditional analog effect chains with a software-driven system, controlled via Bluetooth. Octavo’s integration allowed Chaos Audio to focus on DSP algorithms rather than complex hardware, solving long-standing latency issues in digital audio processing.

Olive Robotics showcased a modular robotics kit powered by Octavo’s OSD32MP1, built around the STMicroelectronics STM32MP1 microprocessor. Running the Robot Operating System (ROS) on Linux, the kit distributes processing across multiple compute nodes, optimizing AI-driven motion tracking. Octavo’s SiP enabled Olive Robotics to cut development time from 18 months to three, drastically accelerating time-to-market.

Octavo introduced the OSD62, integrating the Texas Instruments AM62 quad-core ARM Cortex-A53 with 2GB DDR4 into a single SiP. The result is a 70% PCB space reduction, enabling four-layer designs without complex routing. Similarly, the OSDZU3, based on the AMD (formerly Xilinx) Zynq UltraScale+ MPSoC, consolidates 15 power rails into a single 5V input, simplifying FPGA-based system design. Both SiPs reduce cost and complexity while enabling high-performance computing.

Their commitment to accessibility extends to open-source hardware designs, providing full schematics and PCB layouts. Engineers can integrate SiP technology without dealing with DDR complexity or power sequencing. Octavo’s solutions support everything from rapid prototyping to full-scale production, optimizing thermal performance through advanced die stacking and substrate-level heat dissipation.

One demo highlighted an STMicroelectronics-based SiP running Linux on a zero-layer PCB setup, demonstrating how Octavo’s SiP solutions enable ultra-compact embedded systems with minimal external components. Another featured the integration of Octavo’s SiP in an industrial torque wrench, tracking torque application for manufacturing quality control via IoT connectivity.

Octavo’s roots in Texas Instruments are evident in its leadership, including co-founder Gene Frantz, a pioneer in DSP development. His vision for SiP democratization has positioned Octavo as a key enabler of compact, high-performance embedded computing, making previously impractical form factors achievable.

Their SiP solutions transform embedded design, from AI-driven robotics to real-time audio and industrial automation. Octavo’s presence at Embedded World 2025 underscored the growing demand for compact, high-performance, rapidly deployable systems, further cementing SiP as a crucial technology for next-generation computing.

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At Embedded World 2025 in Nuremberg, Germany, embedUR Systems, a trusted software partner of Synaptics, showcased their expertise in embedded software and Edge AI solutions. citeturn0search4 They presented multiple AI models operating on Synaptics’ AI-native hardware, demonstrating their capability to optimize and deploy AI applications effectively.

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One notable demonstration was the “crowd sensor,” utilizing Synaptics’ privacy sensor and a camera to count individuals in real-time. This setup highlights the potential of integrating AI with sensor technology to achieve accurate crowd monitoring while maintaining privacy.

Adjacent to this, embedUR introduced a contextual language model named the “map guide assistant.” This AI-driven system, running on Synaptics’ SL series board, provided attendees with precise booth locations and event information, showcasing the practical application of natural language processing in navigation and information retrieval.

Further emphasizing their AI capabilities, embedUR demonstrated a personalized experience through Synaptics’ privacy sensor. This system recognizes individuals and adjusts settings, such as preparing a preferred coffee, illustrating the fusion of facial recognition technology with user-centric services.

A significant highlight was embedUR’s early implementation of Synaptics’ SR series MCUs. citeturn0search4 This collaboration underscores embedUR’s commitment to harnessing advanced AI-native platforms to deliver efficient and scalable Edge AI solutions.

Additionally, embedUR presented a secure lockbox demo, employing facial recognition to restrict access. This application demonstrates the potential of integrating AI for enhanced security in everyday devices, ensuring that only authorized users can access sensitive items.

With over two decades in embedded software solutions, embedUR Systems has established itself as a leader in the field. Their participation in Embedded World 2025 reflects their dedication to advancing AI integration in embedded systems, offering services like model fine-tuning, optimization, and sensor integration to accelerate product development.

For more information about embedUR Systems and their offerings, visit their official website: https://embedur.ai

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Synaptics showcased its latest automotive technologies at Embedded World 2025, focusing on driver identification and dual-display processing. Their touch and display driver ICs, along with discrete touch solutions, integrate capacitive sensing to distinguish between driver and passenger interactions. A waveform generator embedded beneath the driver’s seat emits a signal that propagates through the body. When the driver touches the screen, the system recognizes their ID, enabling access to critical functions while restricting distractions like video playback.

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This technology is designed to enhance road safety by preventing drivers from engaging in activities that could cause distractions. For example, while driving, the system disables texting and entertainment apps, ensuring that only essential navigation or vehicle controls remain accessible. Meanwhile, passengers who lack the waveform generator signal can freely interact with the infotainment system without restrictions. This feature offers OEMs and Tier 1 suppliers a streamlined way to comply with safety regulations and improve user experience.

The integration process is straightforward, as the waveform generator operates within a ±5% frequency tolerance, making it adaptable across different vehicle designs. It remains functional regardless of a person’s clothing or body size, ensuring consistent identification accuracy. Synaptics promotes this technology for next-generation vehicle models, collaborating with leading car manufacturers to implement it in upcoming designs.

Beyond driver detection, Synaptics introduced its SmartBridge technology, which enables efficient multi-display management in vehicles. The SmartBridge chip supports DisplayPort MST (Multi-Stream Transport), allowing a single video cable to drive two independent displays. This reduces complexity and cost by eliminating extra video cables, control units, and additional processing hardware.

SmartBridge’s integrated local dimming enhances display contrast, bringing LCD screens closer to OLED-level black performance. By dynamically adjusting backlight zones, this feature improves visibility in bright conditions, reducing eye strain and keeping drivers more focused on the road. The resulting sharpness and clarity contribute to a safer and more immersive driving experience.

Energy efficiency is another key advantage of Synaptics’ local dimming technology. By selectively reducing backlight intensity in dark areas, it significantly lowers power consumption. Tests demonstrate that enabling local dimming can cut display power usage by up to 50%, which is especially beneficial for electric vehicles, helping to extend driving range by conserving battery energy.

Synaptics is actively working with automotive display manufacturers across Europe, Asia, and North America to integrate these solutions into future vehicles. Given the typical automotive development cycle, it takes approximately two to three years from initial integration to commercial deployment. With the increasing demand for advanced cockpit features in electric and self-driving cars, such innovations are becoming essential.

By combining driver identification, multi-display efficiency, and power-saving enhancements, Synaptics is positioning itself at the forefront of automotive HMI (Human-Machine Interface) development. These technologies will shape the next generation of smart vehicles, ensuring both safety and a high-performance user experience.

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At Embedded World 2025, NXP showcased the integration of the DeepSeek R1 8B model with its i.MX 8M Plus application processor, augmented by Kinara’s Ara-2 neural processing unit (NPU). This configuration exemplifies the synergy between NXP’s processing capabilities and Kinara’s specialized AI acceleration.

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DeepSeek R1 is an open-source reasoning model designed to emulate human-like cognitive processes. Before providing responses, it undergoes iterative self-assessment to ensure accuracy and reliability. When queried about appropriate actions following a car accident, DeepSeek R1 generated a comprehensive, step-by-step guide, reflecting its advanced reasoning capabilities.

The integration of Kinara’s Ara-2 NPU, capable of delivering up to 40 TOPS (Tera Operations Per Second), significantly enhances the system’s AI performance. This hardware acceleration facilitates efficient processing of complex models like DeepSeek R1, enabling rapid and accurate responses to intricate queries.

In another demonstration, NXP presented a multimodal application utilizing the Large Language and Vision Assistant (LAVA) model. This model combines a vision encoder with a large language model (LLM) to analyze and interpret visual data. Operating entirely at the edge, this setup ensures data privacy, low latency, and reduced power consumption.

When tasked with describing a challenging image, the system processed the visual input and, within approximately seven seconds, provided a detailed description. This rapid analysis underscores the efficacy of edge computing in handling complex AI workloads without relying on cloud-based resources.

The system also demonstrated real-time video analysis capabilities. By capturing frames from a live video stream and processing them through the LAVA model, it generated accurate descriptions of dynamic scenes. This functionality has potential applications in security monitoring, event summarization, and automated content generation.

NXP’s recent agreement to acquire Kinara for $307 million underscores its commitment to advancing edge AI technologies. This strategic move aims to enhance NXP’s processing portfolio with Kinara’s high-performance, energy-efficient NPUs, thereby expanding the possibilities for intelligent edge applications across industrial and automotive sectors.

The combination of NXP’s processors and Kinara’s AI acceleration hardware offers a scalable platform for deploying sophisticated AI models at the edge. This integration facilitates the development of intelligent systems capable of real-time data processing, decision-making, and autonomous operation, marking a significant step forward in edge computing.

Industry observers speculate that NXP’s acquisition of Kinara could lead to the development of more energy-efficient and high-performance AI solutions, particularly in the realms of autonomous vehicles and smart industrial applications. This move positions NXP to better compete with other semiconductor companies investing in edge AI capabilities.

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Geniatech’s latest AI-powered industrial ARM box PC integrates the NXP i.MX 8M Plus processor with Kinara’s Ara-2 AI accelerator, offering up to 40 TOPS of AI computing power. This fanless, industrial-grade solution is designed for edge AI applications, providing an alternative to high-cost desktop AI workstations. It supports large AI models with billions of parameters, making it a powerful tool for on-device inference and processing without relying on cloud-based APIs. The device is showcased at Embedded World 2025, emphasizing its capability to run models like DeepSeek and LLaMA while maintaining data privacy. For more details, visit: https://www.geniatech.com/embedded

The system-on-chip (SoC) combines a quad-core ARM Cortex-A53 processor with an additional Cortex-M7 core, ensuring efficient processing for AI workloads. The integrated neural processing unit (NPU) within the i.MX 8M Plus delivers 2.3 TOPS of AI acceleration, while Kinara’s Ara-2 extends this capability to 40 TOPS, significantly boosting inference speed. This setup allows developers to deploy AI applications directly at the edge, reducing latency and operational costs.

With up to 16GB of LPDDR4X RAM for the Kinara Ara-2 AI accelerator and 8GB to 16GB LPDDR4 for the i.MX 8M Plus, the system supports memory-intensive AI tasks. Storage options include 32GB eMMC, expandable to 256GB, ensuring ample space for large AI models and datasets. Video processing capabilities include 1080p60 HEVC, H.265, and VP9 decoding, alongside HDR ISP support for high-quality imaging applications.

The device’s connectivity features include dual Gigabit Ethernet, Wi-Fi, 4G LTE, and GPS support, making it adaptable to various industrial and AI-driven IoT environments. Video output is handled through HDMI and LVDS, with additional interfaces including USB 3.0, RS232, CAN, and MIPI CSI for camera integration. This wide range of I/O options enables deployment in smart surveillance, industrial automation, and other AI-driven edge computing applications.

Unlike traditional AI computing solutions requiring high-end GPUs, Geniatech’s embedded system provides a cost-effective and energy-efficient alternative. With its easy-to-install software and over-the-air update capabilities, the system ensures continuous improvements and access to the latest AI models. The focus on local processing enhances privacy by keeping data on the device rather than relying on cloud services.

As AI adoption continues to grow, Geniatech is actively exploring future developments, including support for larger AI models, potentially reaching 32 billion parameters. This commitment to scalability positions the company as a key player in industrial AI, addressing the increasing demand for edge AI computing solutions.

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At Embedded World 2025, Geniatech unveiled a groundbreaking 31.5-inch ePaper display, marking a significant advancement in ePaper technology. This large-format display integrates a specialized algorithm to enable smooth motion and fast refresh rates, making it one of the first ePaper screens capable of displaying video content. The development of this technology has been highly anticipated for decades, as traditional ePaper has struggled with slow refresh rates. Now, with Geniatech’s innovation, dynamic content can be displayed with impressive clarity and fluidity. https://www.geniatech.com/epaper-digital-signage/

One of the standout features of this display is its ability to render partial refreshes, allowing for rapid content updates without requiring a full-screen refresh. This makes it ideal for applications such as digital signage, public information displays, and outdoor advertising, where frequent updates are needed. The technology behind this display leverages FPGA-based processing to optimize refresh performance, overcoming the limitations of conventional ePaper solutions.

The reflective nature of ePaper ensures excellent visibility in various lighting conditions, including direct sunlight, making it particularly suitable for outdoor applications. Unlike traditional LCD or OLED screens, which rely on backlighting, this display utilizes ambient light to create high-contrast images, ensuring readability while reducing power consumption. This ultra-low power requirement makes it a strong candidate for energy-efficient digital signage solutions.

Geniatech’s approach to ePaper also focuses on sustainability. With minimal energy use and a display design engineered for longevity, it aligns with industry efforts to reduce electronic waste and power consumption. Businesses looking to implement digital signage with lower environmental impact will find this solution appealing, as it offers both performance and efficiency without compromising on readability.

The sharpness and responsiveness of this display make it particularly effective in scenarios where static and motion content need to coexist. For example, retail environments can use it for dynamic pricing updates, real-time promotional content, and interactive wayfinding displays. Similarly, transportation hubs could deploy it for up-to-date scheduling and route information.

Geniatech anticipates that this 31.2-inch ePaper display will enter mass production within the next two months. The combination of video playback capability, energy efficiency, and outdoor readability positions it as a transformative solution for businesses and organizations seeking innovative display technologies. As more industries explore ePaper for dynamic content, this breakthrough could reshape the landscape of digital signage.

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At Embedded World 2025, RT-RK showcased their innovative mARTini platform, designed to enable Android applications to operate seamlessly within a Linux environment. This demonstration utilized Synaptics’ Astra SL1680 embedded processor, highlighting the collaborative efforts between RT-RK and Synaptics to integrate and optimize solutions for advanced system-on-chip architectures.

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The mARTini solution leverages lightweight LXC containers to run a customized Android image atop Synaptics’ Linux-based system. This configuration allows for the execution of native Android applications within a Linux framework, facilitating interaction between Linux and Android applications side by side. For instance, applications like Netflix can run with full security and copyright compliance, demonstrating mARTini’s robust support for media streaming services.

The integration of Android applications into Linux systems addresses the challenge of implementing user-friendly interfaces in embedded environments. Android’s extensive ecosystem offers a plethora of pre-built applications, simplifying the development process compared to creating custom Linux interfaces. This hybrid approach combines Android’s rich user interface capabilities with Linux’s strengths in handling embedded functionalities, such as accessing GPIO ports and interfacing with various drivers.

In automotive contexts, mARTini provides a pathway to incorporate Android applications without overhauling existing Linux-based infotainment systems. This is particularly advantageous for integrating popular applications like Spotify or messaging services, where a full Android operating system may be unnecessary. By utilizing a containerized approach, mARTini allows for dynamic resource allocation, optimizing CPU and memory usage without the rigid partitioning required by hypervisor-based solutions.

The Astra SL1680 platform’s open-source approach facilitated the seamless integration of mARTini, enabling efficient graphics acceleration and resource management. This synergy ensures that both Linux and Android applications perform optimally, sharing hardware resources effectively. RT-RK’s collaboration with Synaptics underscores their commitment to delivering versatile solutions that cater to the evolving needs of embedded systems across various industries.

RT-RK’s extensive experience in embedded systems, spanning hardware development, FPGA design, and multimedia systems, positions them as a key player in the integration of complex software solutions. Their approach of combining academic insights with industrial applications fosters a culture of continuous learning and innovation, ensuring that their solutions remain at the forefront of technological advancements.

By enabling the execution of Android applications within a Linux runtime environment, mARTini offers a flexible and efficient solution for industries seeking to enhance their systems with rich user interfaces and a vast array of applications. This capability is particularly relevant in sectors like automotive infotainment, where user expectations for seamless integration of familiar applications continue to rise.

The demonstration at Embedded World 2025 highlighted mARTini’s potential to transform embedded systems by bridging the gap between Linux’s robustness and Android’s extensive application ecosystem. This integration not only streamlines development processes but also enriches the end-user experience by providing access to a wide range of applications within a stable and efficient environment.

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David from Arcturus introduces the capabilities of the EDI and Edge analytics software stack running on the Synaptics SL1680 SoM module designed specifically for smart camera applications. The board, leveraging Synaptics’ SL1680 SoM, supports direct HDMI connectivity, USB cameras, and optional MIPI camera interfaces, providing a fully autonomous solution for edge computing without external network dependency. More details on Arcturus technology are available at https://www.arcturusnetworks.com.

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The SL1680 hardware showcased is specifically engineered for security and smart-camera applications, integrating powerful analytics at the edge. It supports multiple camera inputs, enabling real-time processing of video data for scenarios involving safety monitoring, intrusion detection, and behavior analytics. The onboard software leverages a comprehensive dashboard accessible directly via HDMI, displaying detected events clearly.

Arcturus demonstrates edge computing capabilities through event-driven analytics (EDI), which includes detecting loitering, entry into restricted areas, and irregular movement patterns. Users can interactively click on logged events to playback recorded footage, simplifying forensic review and making event analysis intuitive. This embedded analytic solution can effectively manage safety and security use cases for various industrial or residential environments.

An additional showcase highlights the Synaptics SL1680’s multi-channel capability, managing four simultaneous video streams. This demonstrates the hardware’s capacity to handle multiple concurrent analytical tasks effectively, proving suitable for complex environments requiring real-time multi-camera analysis. The robust hardware architecture efficiently handles video streams while maintaining low latency and power consumption.

The software stack presented by Arcturus extensively uses open-source foundations, ensuring flexibility and ease of integration. While the core components are open-source, Arcturus provides optimized proprietary extensions and customizations, significantly enhancing scalability and usability. Developers benefit from easily accessible open-source resources, enabling efficient customization to specific use cases.

A major feature introduced at Embedded World 2025 is the integration of native Chromium-based web dashboard support directly on the SL1680 module. This enables immediate visual interaction with analytics data without external dependencies or additional hardware. With USB peripherals and a standalone HDMI display, operators gain comprehensive local management capability, simplifying installations and maintenance.

David outlines two primary use cases for the SL1680 hardware: compact, low-power cameras ideal for embedded scenarios, and slightly more powerful edge analytics or home security hubs. This flexibility emphasizes the adaptability of the SL1680 architecture, capable of scaling between simple, battery-powered applications and more demanding, multifunctional analytics environments.

Highlighting the standalone capability of the solution, Arcturus demonstrates how the combination of hardware and integrated analytics requires no external connectivity. By maintaining a completely self-contained operation using USB cameras, an HDMI monitor, and local input devices, this configuration is optimized for secure, isolated deployments where external network connections are limited or unavailable.

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Micro Crystal AG, a subsidiary of the Swatch Group, showcased its latest innovation at Embedded World 2025: the RV-3028-C8 Real-Time Clock (RTC) module. This ultra-compact module measures just 2.0 x 1.2 x 0.6 mm, making it the smallest RTC module currently available. Designed for applications with stringent space constraints, such as wearables, IoT devices, medical equipment, and automotive electronics, the RV-3028-C8 integrates a dedicated CMOS RTC chip with a micro-sized quartz crystal within a hermetically sealed ceramic package. citeturn0search15

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One of the standout features of the RV-3028-C8 is its ultra-low power consumption, operating at just 70 nA during timekeeping. This efficiency enables extended battery life or the use of smaller batteries, which is crucial for portable and wearable technologies. The module supports an operating voltage range from 1.1 V to 5.5 V and maintains a time accuracy of ±1 ppm at 25°C. Additional functionalities include time-stamping, alarms, timers, and an I²C interface operating at up to 400 kHz. citeturn0search11

In addition to the RV-3028-C8, Micro Crystal offers a comprehensive portfolio of timing solutions, including kHz oscillators, MHz quartz crystals, and temperature sensor modules. These products cater to a wide range of applications, from industrial automation to healthcare devices. The company’s expertise in miniaturization and low-power design positions it well to meet the evolving demands of the embedded systems market. citeturn0search10

At Embedded World 2025, Micro Crystal shared its exhibition space with sister companies Renata SA and EM Microelectronic, both part of the Swatch Group’s Electronic Systems division. Renata specializes in the production of primary and secondary microbatteries, offering solutions that complement Micro Crystal’s low-power modules. EM Microelectronic focuses on the design and manufacturing of ultra-low-power integrated circuits, further enhancing the group’s comprehensive offerings for embedded applications. citeturn0search12

The integration of these technologies underscores the Swatch Group’s commitment to providing holistic solutions for the embedded industry. By combining expertise in timing modules, battery technology, and integrated circuits, the group addresses the growing need for compact, energy-efficient components in modern electronic devices.

Micro Crystal’s participation in Embedded World 2025 highlights its dedication to advancing RTC technology. The company’s innovations not only meet current industry standards but also anticipate future trends in miniaturization and power efficiency. As the demand for smaller, more efficient electronic components continues to rise, Micro Crystal’s contributions are set to play a pivotal role in shaping the future of embedded systems.

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Synaptics has introduced the SL1620 System on Module (SoM), a compact solution designed to enhance audio streaming capabilities across multiple devices. This module facilitates synchronized audio transmission via Bluetooth Low Energy (LE) to multiple speakers, enabling users to set up cost-effective, interconnected audio systems without relying on traditional Wi-Fi networks.

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At the core of this technology is the SL1620 processor, optimized for embedded applications requiring robust processing and advanced AI capabilities. It features a quad-core Arm Cortex-A55 CPU subsystem, a high-efficiency GPU for advanced graphics and AI acceleration, and superior audio processing capabilities. The SL1620 supports Linux OS, offers a variety of peripherals, and accommodates dual displays, making it versatile for various IoT applications. citeturn0search0

In collaboration with partners like HAK, Synaptics has integrated the SL1620 with their Wi-Fi chipset to create a modular solution for synchronized audio streaming. This partnership has yielded a toolkit that allows developers to experiment with and implement synchronized audio across multiple Bluetooth LE-enabled devices. The system’s architecture includes a master device that manages synchronization, ensuring that audio playback remains in harmony across all connected speakers.

One of the significant advantages of this setup is its ability to operate independently of Wi-Fi networks. By utilizing Bluetooth LE for audio transmission, the system reduces potential network congestion and interference, providing a more stable and reliable audio streaming experience. This approach also simplifies the setup process, as it eliminates the need for complex network configurations.

The flexibility of the SL1620 SoM allows for various applications, from multi-room audio setups to customized home entertainment systems. Users can place speakers in different rooms, creating a seamless audio experience throughout their living spaces. The system’s scalability means that, theoretically, a large number of speakers can be synchronized, limited primarily by the capabilities of the Bluetooth LE standard and the specific implementation.

For developers and manufacturers, the SL1620 provides a platform to innovate and create new audio products that leverage synchronized Bluetooth LE streaming. Its integration capabilities and support for advanced audio algorithms make it suitable for a wide range of consumer and industrial applications. The module’s design also facilitates easy customization, allowing for tailored solutions that meet specific market needs.

In summary, Synaptics’ SL1620 System on Module represents a significant advancement in synchronized audio streaming technology. By harnessing the power of Bluetooth LE and robust processing capabilities, it offers a versatile and efficient solution for delivering high-quality, synchronized audio across multiple devices without the complexities associated with traditional network-based systems.

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Renesas has unveiled the RA4L1, a 32-bit microcontroller (MCU) based on the Arm Cortex-M33 core, targeting energy-efficient applications with advanced security. Operating at 80 MHz, it balances high performance with ultra-low power consumption, drawing only 168 µA/MHz in active mode and as little as 1.65 µA in standby. Designed for IoT, metering, and industrial applications, the RA4L1 integrates TrustZone security, flexible communication interfaces, and a capacitive touch controller. For more information, visit https://www.renesas.com/

At Embedded World 2025, Renesas demonstrated real-world use cases for the RA4L1, highlighting its role in smart locks, where both low power consumption and security are essential. As cybersecurity regulations tighten, embedded devices require robust protection against unauthorized access. The RA4L1’s dedicated security engine provides a hardware root of trust (RoT), a true random number generator (TRNG), and cryptographic acceleration for AES and ECC, ensuring secure key storage and encrypted communication. These features allow secure OTA updates and identity verification, making it suitable for applications such as hotel locks, where battery life and security are critical concerns.

With dual-bank 512 KB flash memory, 64 KB SRAM, and 8 KB data flash, the RA4L1 supports over-the-air firmware updates and fast boot capabilities. Its ability to wake from standby with an NFC trigger at just 1.6 µA ensures efficient power management. The MCU’s extensive peripheral integration includes USB 2.0 full-speed, CAN FD, multiple serial interfaces (UART, I²C, I³C, SPI, QSPI), and a segment LCD controller. The combination of hardware-accelerated cryptography and energy efficiency allows seamless deployment in security-focused IoT applications.

The RA4L1 also features a capacitive touch sensing unit (CTSU) with up to 12 channels, supporting both mutual and self-capacitance modes. In a demonstration, Renesas showcased how capacitive touch buttons can serve as ultra-low-power wake-up switches, allowing systems to remain in deep sleep until a user initiates contact. These touch sensors, combined with an LCD interface, enable interactive, low-power HMIs for consumer and industrial devices.

A key strength of the RA4L1 is its event-driven architecture, which allows peripherals to operate independently of the CPU. The device’s direct memory access controller (DMAC) and data transfer controller (DTC) handle tasks such as sensor data acquisition, serial communication, and ADC triggering without waking the core, significantly reducing power consumption. This makes the MCU ideal for energy-sensitive applications such as water and gas meters, where it can process wheel rotation via an optical sensor without engaging the CPU, thereby extending battery life.

Renesas also demonstrated the RA4L1’s suitability for metering applications, where precise and low-power sensing is essential. Using an infrared sensor and integrated timers, the MCU can track a water meter’s wheel rotation, measuring both position and speed without frequent processor intervention. This reduces power usage while maintaining high accuracy in real-time data acquisition. The ability to integrate various sensor inputs and process them in low-power modes makes the RA4L1 a competitive choice for smart metering and industrial monitoring.

To streamline development, Renesas provides the Flexible Software Package (FSP), which includes pre-configured drivers, middleware, and security libraries optimized for the RA4L1. Developers can leverage these tools for rapid prototyping, reducing time-to-market for secure embedded systems. The FSP ecosystem supports secure key provisioning, cryptographic operations, and peripheral control, enabling seamless integration with existing IoT platforms.

Now in mass production, the RA4L1 is expected to gain strong traction in Europe and other global markets, where Renesas has already seen significant adoption of its previous-generation MCUs. With a well-balanced combination of low power, advanced security, and flexible connectivity, the RA4L1 is positioned as a robust solution for battery-powered industrial, consumer, and IoT applications.

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Foundries.io is showcasing its Qualcomm Dragonwings demo at Embedded World 2025, highlighting advancements in open-source development, IoT device management, and AI workloads. Dragonwings represents Qualcomm’s latest branding for its IoT, automotive, and industrial processors, aiming to expand beyond mobile markets. One of the standout demonstrations features the HP OmniBook X, powered by the Snapdragon X Elite processor, running a locally trained large language model. This model, based on Foundries.io’s documentation, operates entirely on the device’s neural processing unit (NPU), showcasing Qualcomm’s edge AI capabilities. More importantly, Foundries.io remains at the core of device management, enabling secure updates and AI deployment across Qualcomm’s platforms. Learn more at https://foundries.io.

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A major breakthrough at Embedded World 2025 is Qualcomm’s commitment to open development. The company is now upstreaming its software directly on GitHub, accepting third-party contributions for the first time. This includes the RB3 Gen 2 platform running the 416 RC5 kernel without proprietary patches, making it a fully open-source Linux system. The platform supports Debian and Yocto builds, with source code available for developers to modify and contribute. Qualcomm is also ensuring broad support for its upcoming processors, reinforcing its commitment to the open-source ecosystem.

Another key demonstration focuses on Foundries.io’s integration with Qualcomm’s AI ecosystem, specifically with Edge Impulse, which Qualcomm recently acquired. Using the Foundries.io platform, developers can seamlessly create, train, and deploy AI models for edge applications. The RB3 Gen 2 board, running Qualcomm Linux Release 1.3, features an Edge Impulse IMDK AI app that processes high-speed camera feeds and applies AI-driven object detection. This marks a shift towards democratizing AI deployment on embedded systems, reducing barriers to entry for developers.

The Snapdragon X Elite processor is gaining traction within the Linux community, with Canonical leading efforts to ensure robust Ubuntu support. Multiple X Elite-powered laptops, including models from Lenovo, HP, and Microsoft, are receiving dedicated optimizations. The installation process includes GRUB bootloader support, allowing dual-boot configurations with Windows. Currently, Wi-Fi, touchscreen, and graphics acceleration work smoothly, with upcoming patches expected to enable audio and camera support. This is a crucial step toward making ARM-based laptops competitive with traditional x86 systems.

Dragonwings is also pushing the boundaries of edge AI processing with the IQ9 series, particularly the 9075 model, which features dual NPUs for enhanced inference capabilities. These processors cater to demanding AI workloads, including real-time video analysis for industrial and security applications. Qualcomm’s focus on upstreaming its AI frameworks ensures that developers can build robust solutions without relying on vendor-specific toolchains. The goal is to provide long-term software support while maximizing hardware capabilities.

Qualcomm’s deep involvement in AI is evident through its recent optimizations for deep learning models on Snapdragon hardware. While some aspects remain proprietary, Snapdragon X Elite laptops have demonstrated exceptional AI performance, making them viable alternatives to traditional AI accelerators. Edge Impulse’s integration into Foundries.io’s platform further simplifies AI deployment, enabling seamless model quantization and optimization for embedded environments. This move is expected to accelerate AI adoption across various industries.

Developers interested in robotics will find Qualcomm’s Dragonwings ecosystem particularly appealing. The RB3 Gen 2 platform is designed for autonomous applications, including humanoid robots and edge AI processing. Qualcomm also offers a fully open-source ROS stack, available on GitHub, to streamline robotics development. The company aims to make these developer-friendly boards more accessible, addressing past availability challenges. This openness could lead to a surge in robotic applications powered by Qualcomm hardware.

Foundries.io’s growth within Qualcomm highlights the increasing importance of open-source solutions for secure device management. Originally a Linaro spinoff, Foundries.io continues to support open-source initiatives while expanding its role within Qualcomm. The company’s focus on upstreaming software ensures long-term support without reliance on vendor-specific BSPs. By aligning with Qualcomm’s open-source strategy, Foundries.io is positioning itself as a key player in secure edge computing and embedded Linux development.

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At Embedded World 2025, Qbic Technology showcased its latest advancements in embedded systems, emphasizing their commitment to intelligent and interconnected industrial environments. Their booth featured a range of products designed to meet the diverse needs of industries such as industrial automation, robotics, healthcare, and smart office development.

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A highlight of their presentation was the SBC-1070M, a 10.1-inch embedded board powered by the MediaTek Genio 510 platform. This board is engineered for industrial and commercial applications across sectors like smart home, retail, office, and industrial settings. It offers responsive edge processing and advanced multimedia capabilities, making it suitable for high-end embedded solutions. The SBC-1070M supports a multi-tasking operating system and diverse connectivity options, catering to demanding applications.

Another notable product on display was the TDD-1000 BookBuddy Connect Desk Booking Docking Station. Available in both wireless charging and NFC/RFID versions, the BookBuddy Connect addresses the evolving needs of modern workplaces, prioritizing seamless user experience and robust security. With the rise of hybrid work models and the growing trend of Bring Your Own Device (BYOD), this device offers flexible and secure connectivity, enabling employees to personalize their workspaces effortlessly.

Qbic’s in-house research and development team oversees every stage of product development—from mechanical and electronic design to software engineering. This vertical integration allows for unparalleled customization, rigorous quality control, and seamless integration tailored to specific client needs. By leveraging technologies from industry leaders like NXP, MediaTek, and Texas Instruments, Qbic ensures cutting-edge performance and unwavering reliability in their products.

Security remains a top priority for Qbic, as evidenced by their award-winning Fortify+ cybersecurity solution. This robust set of features protects data, devices, and systems against evolving cyber threats, ensuring compliance with stringent global cybersecurity standards. Additionally, Qbic products are built with ruggedness and longevity in mind, featuring energy-efficient designs, direct-bonded displays, and even antimicrobial surfaces to meet the demands of modern environments.

In collaboration with partners like Door Tablet, Fischer & Kerrn, and SharingCloud (acquired by Witco), Qbic demonstrated comprehensive solutions tailored to the diverse needs of modern businesses. These strategic alliances highlight Qbic’s commitment to providing secure, flexible, and collaborative workplace solutions that adapt to the evolving demands of various industries.

Qbic’s expertise extends to software, with deep knowledge in Android, Linux, and Ubuntu platforms. Their advanced platform integration capabilities facilitate the rapid deployment of scalable solutions, whether focusing on edge AI, dynamic digital signage, or robust industrial automation. This comprehensive approach ensures that clients receive tailored solutions that align with their specific operational requirements.

With over a decade in the market, Qbic Technology has established a global presence, serving customers primarily in the US and Europe. Their commitment to exceptional customer service, rapid response times, expert integration guidance, and dedicated long-term support has earned them industry recognition and a loyal client base worldwide.

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At Embedded World 2025, Automotive Grade Linux (AGL) showcased significant advancements in integrating RISC-V architecture into automotive applications. A notable demonstration featured AGL’s new Flutter-based user interface operating on the VisionFive 2, a RISC-V single-board computer developed by StarFive. This board is equipped with a JH7110 system-on-chip (SoC), comprising a quad-core 64-bit RISC-V CPU running at 1.5 GHz and an integrated GPU, offering a compelling platform for automotive developers.

The VisionFive 2’s integration into AGL’s platform underscores the industry’s shift towards open-source hardware and software solutions. Priced at approximately $120, this development board provides an accessible entry point for developers aiming to explore RISC-V’s potential within automotive systems. The responsive UI and graphics acceleration observed during the demonstration highlight the board’s capability to handle demanding automotive applications.

AGL’s commitment to open-source principles ensures that all demonstrated features, including the Flutter UI, are available for download. Developers can access these resources on platforms like the VisionFive 2 or Raspberry Pi 5, facilitating experimentation and customization. Comprehensive documentation is provided at https://docs.automotivelinux.org, guiding users through the setup and replication of showcased demos.

The demonstration also featured a telematics gateway collecting data from a demo control panel, simulating various ECU functions. This setup allows for the injection of signals over the CAN bus, with the gateway capturing these signals and integrating them into the middleware via the KUKSA data broker. This architecture abstracts the complexities of CAN bus interactions, promoting application portability across different vehicle models.

AGL’s collaboration with the Elisa Project emphasizes functional safety in automotive software. By focusing on scenarios such as instrument cluster failures, AGL aims to ensure that vehicles respond safely to software anomalies, minimizing risks to occupants. This initiative is crucial as automotive systems become increasingly software-reliant.

The integration of Flutter into AGL’s platform offers flexibility in UI development. Flutter’s open-source license aligns with AGL’s philosophy, enabling rapid development of user interfaces. This adaptability allows developers to tailor the in-vehicle experience, ensuring consistency across various hardware configurations.

AGL’s active participation in the software-defined vehicle (SDV) paradigm is evident through collaborations with organizations like SOAFEE. The implementation of hypervisors, such as KVM, facilitates the concurrent operation of in-vehicle infotainment (IVI) systems and instrument clusters on virtual machines. This virtualization supports cloud-based development and testing, streamlining the deployment of software updates and new features.

The adoption of RISC-V within the automotive industry, particularly in regions like China, highlights a trend towards open-source hardware solutions. While production-ready RISC-V boards for vehicles may still be a couple of years away, development boards like the VisionFive 2 provide a valuable platform for early exploration and innovation in automotive applications.

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At Embedded World 2025, Microdul AG showcased a range of advanced microelectronic solutions, emphasizing their expertise in ultra-low-power, mixed-signal integrated circuits and miniaturized electronic modules. One notable innovation is a neural interface device designed for implantation in the brain to monitor neuronal communication. This device features micro-scale needles, each equipped with chips that detect neural signals, facilitating research into neural interactions. The needles are approximately ten times thinner than a human hair, underscoring Microdul’s proficiency in microfabrication.

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In collaboration with InPlay Inc., Microdul has developed a wireless, medical-grade body temperature monitoring system. This system integrates Microdul’s MS108x-series temperature sensors with InPlay’s IN100 NanoBeacon™ SoC, leveraging Bluetooth 5.3 technology to enable continuous and precise monitoring of patients’ body temperature, thus ensuring timely intervention and enhanced patient care. citeturn0search12

Microdul also presented their advancements in ultra-low-power sensors, including capacitive touch sensors and human body detectors. These sensors are designed to extend battery life in portable devices by reliably detecting touch events and presence, making them ideal for applications like wake-up functions, keypads, sliders, and proximity sensing. citeturn0search1

Another highlight is Microdul’s development of ultra-low-power temperature sensors, which are ideal for IoT and energy harvesting applications. These sensors enable accurate temperature monitoring while consuming minimal power, thereby extending the operational life of battery-powered devices. citeturn0search1

Microdul’s commitment to miniaturization is evident in their micro-module manufacturing capabilities, particularly for medical implants. Their expertise in assembling complex electronic components into compact modules supports the development of advanced medical devices, such as cochlear implants and heart pumps, which require reliable and precise electronic systems. citeturn0search14

The company’s rich history, originating in the watch industry, has evolved over 30 years into a focus on medical devices and other high-reliability applications. This evolution reflects Microdul’s adaptability and dedication to leveraging their miniaturization expertise across various sectors.

Located in Zurich, Switzerland, Microdul operates a state-of-the-art facility where they handle all processes from engineering to production. Their certifications in ISO 9001 and ISO 13485 attest to their commitment to quality and process excellence, ensuring that their products meet stringent industry standards. citeturn0search4

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At Embedded World 2025, Panasonic Industry Europe presented its latest innovations in wireless connectivity, energy harvesting, and sensing technologies, focusing on powering, sensing, and connecting embedded systems. A key highlight was its Matter-compliant module built around Nordic Semiconductor’s nRF54L15 chipset. Designed for smart home applications, this module includes integrated flash memory and supports the PAN-MaX service, which injects Device Attestation Certificates (DAC) during production. This streamlines certification and enhances security, giving manufacturers a fast-track solution for integrating Matter-compliant devices.

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Panasonic is also expanding its Wi-Fi 6 portfolio in collaboration with Synaptics, NXP, and Texas Instruments. Their work with Synaptics focuses on integrating high-efficiency Wi-Fi 6 solutions into industrial and IoT devices. While not physically showcased, these Synaptics-powered solutions are key to ensuring future-proof wireless connectivity. Panasonic’s Wi-Fi 6 modules include compact, cost-sensitive 2.4 GHz designs as well as full-featured dual-band solutions, optimized for performance and efficiency, enabling seamless data transmission across smart and industrial applications.

Beyond connectivity, Panasonic demonstrated its energy-harvesting Amorton solar cells, designed to operate even in low-light indoor environments. These ultra-efficient cells extend device lifetimes and reduce reliance on batteries, making them ideal for wearables, sensors, and IoT applications. Panasonic also introduced its next-generation hybrid solar cells, which function indoors and outdoors, offer fully customizable designs, and are already in full-scale production for integration into consumer and industrial products.

Panasonic’s sensor technologies were another highlight, particularly the Grid-Eye thermopile sensor, which provides 64-pixel infrared thermal feedback for people counting, motion detection, and smart automation. This low-power sensor enhances security and energy efficiency in various applications. Alongside this, the company displayed its long-lifetime primary batteries, designed for industrial IoT applications where reliability over a decade or more is crucial.

The company’s broad portfolio of power solutions was on display, emphasizing hybrid energy designs that combine solar harvesting with backup battery power. This ensures uninterrupted operation for mission-critical embedded devices. With decades of expertise in both battery and solar technologies, Panasonic offers highly flexible solutions tailored for IoT and industrial applications.

Panasonic Industry Europe’s participation at Embedded World 2025 showcased its commitment to advancing embedded technology. Through partnerships with companies like Synaptics and Nordic Semiconductor, Panasonic continues to enhance security, connectivity, and efficiency in smart devices. By integrating the latest Matter, Wi-Fi 6, and energy harvesting technologies, Panasonic is shaping the future of industrial automation and embedded systems.

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At Embedded World 2025, Renesas and Altium introduced Renesas 365, a cloud-based platform designed to unify silicon, software, and hardware development. Following Renesas’ acquisition of Altium, this solution aims to eliminate inefficiencies by providing a shared digital environment where engineers collaborate in real time. The platform integrates AI-assisted design tools, lifecycle management capabilities, and software-defined silicon workflows, optimizing product development from concept to deployment. More details can be found at [renesas.com](https://www.renesas.com/renesas365).

Renesas 365 eliminates the traditional silos in embedded system development by offering a fully integrated cloud-based ecosystem. Instead of using separate, incompatible design tools, hardware engineers, firmware developers, and system architects can work within a persistent, synchronized platform. The system features an interactive block diagram editor, which goes beyond static visualization by allowing direct integration with hardware and software stacks. This editor dynamically links design elements, ensuring changes are automatically reflected across the development pipeline.

A highlight of the Embedded World demonstration was an AI-driven plotter that performed real-time facial recognition and image rendering, showcasing how AI models can be integrated into embedded systems. The demo illustrated Renesas 365’s ability to evaluate AI models in a controlled cloud environment, optimizing the tradeoff between recognition accuracy and processing speed. Engineers can compare models, simulate real-world constraints, and deploy updates across connected devices without disrupting operations.

The Renesas 365 development environment streamlines every stage of product design, from selecting application-ready silicon to managing deployed devices in the field. Engineers can rapidly access Renesas’ extensive IP library, pre-validated hardware configurations, and reference designs, ensuring compatibility and compliance with software-defined products. The platform’s real-time co-design capabilities allow seamless collaboration between PCB design, firmware, and embedded software development, reducing iteration cycles and minimizing integration errors.

Lifecycle management is another core feature, enabling over-the-air firmware updates, AI model optimizations, and remote diagnostics. This functionality is critical for long-term IoT and industrial deployments, where security patches, performance updates, and compliance changes must be applied efficiently across large device fleets. With persistent digital traceability, engineers can track every modification, ensuring compliance with industry standards and facilitating root-cause analysis for debugging hardware and software interactions.

Renesas 365 also enhances collaboration by providing secure access controls, allowing external teams and vendors to contribute to projects while maintaining IP protection and data integrity. Unlike traditional methods that rely on email exchanges or version-controlled file sharing, the platform centralizes all design elements into a unified, cloud-based workspace, ensuring seamless communication between stakeholders. A critical feature is cross-probing, where engineers can trace software execution directly to PCB layouts and hardware components, improving debugging efficiency and design accuracy.

AI-driven design automation plays a pivotal role in Renesas 365, offering features such as AI-assisted PCB layout optimization, real-time constraint checking, and automated code generation. These capabilities significantly reduce manual effort while ensuring that designs adhere to electrical, thermal, and mechanical constraints. The AI tools can also recommend optimal silicon selections, generate pre-configured firmware templates, and assist in power efficiency tuning for battery-operated systems.

The platform is particularly well-suited for industries demanding high-reliability embedded systems, including automotive, industrial automation, aerospace, and edge AI computing. With integrated functional safety features, compliance tracking, and scalable security architectures, Renesas 365 enables the deployment of next-generation electronics with confidence in long-term stability and regulatory adherence.

Currently in its pre-release phase, Renesas 365 is scheduled for a broader launch in early 2026. Engineers and developers can sign up for the beta program, gaining early access to its cloud-based development suite and AI-powered design tools. By redefining how embedded systems are conceived, developed, and maintained, Renesas 365 offers a scalable, secure, and AI-driven approach to modern electronics design, accelerating innovation in the embedded industry.

Renesas has introduced the RZ/V2N AI MPU at Embedded World 2025, addressing the challenge of heat dissipation in AI-powered embedded systems. While AI processing is traditionally associated with power-hungry cloud and data center applications, Renesas is bringing high-performance AI to endpoint devices without the need for bulky heat sinks or cooling fans. This makes the RZ/V2N an attractive solution for space-constrained and cost-sensitive embedded applications. More details can be found at https://www.renesas.com

A key highlight of the RZ/V2N is its ability to handle real-time AI workloads, including image processing and video encoding. A demonstration at the show featured two MIPI-CSI cameras running H.265 video encoding and AI-powered image analysis, streaming in parallel to a monitor—all without requiring active cooling. Thermal imaging revealed an operating temperature of just 40°C, proving its energy efficiency.

This efficiency is achieved through Renesas’ third-generation AI accelerator, DRP-AI (Dynamically Reconfigurable Processor for AI). The RZ/V2N delivers 10 TOPS per watt, reaching a peak of 15 TOPS in sparse mode and 4 TOPS in dense mode. This level of power efficiency is made possible by a unique unstructured pruning technique, which optimizes AI model execution to reduce computational load while maintaining performance.

Unlike general-purpose AI architectures such as ARM Cortex cores, Renesas relies on its proprietary DRP-AI technology, which has evolved significantly since the previous generation. The RZ/V2N marks a tenfold improvement in AI performance per watt, compared to its predecessor. This breakthrough enables completely fanless and heat sink-free designs, making it ideal for embedded applications that demand low power consumption and compact form factors.

The RZ/V2N supports full Linux and Android environments, with software development based on the Yocto Project. To ease AI adoption, Renesas provides an open-source AI toolchain and a library of over 50 ready-to-use AI applications on GitHub. These include people counting, smart building monitoring, and industrial safety solutions. Users can leverage transfer learning to retrain models with their own data and deploy optimized ONNX models using Renesas’ DRP-AI TVM compiler.

Manufactured on a 14nm process node—compared to 28nm in previous generations—the RZ/V2N benefits from improved power efficiency and performance. It also introduces a new low-power mode, further optimizing energy consumption for battery-powered embedded applications. This makes it well-suited for IoT devices, industrial automation, and smart vision systems.

For applications requiring real-time processing, Renesas’ flagship RZ/V2H features an additional dual-core Cortex-R8 and an OpenCV accelerator, making it suitable for robotics and drone control. However, the RZ/V2N fills a crucial gap between its predecessor and the high-end V2H, offering an optimal balance of AI performance and efficiency for a broader range of embedded use cases.

The RZ/V2N is now in mass production, with evaluation boards and samples available starting March 19th. Developers interested in exploring its capabilities can access resources and sample applications on Renesas’ website.

Check out all my Embedded World 2025 videos in this playlist: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Join https://www.youtube.com/charbax/join for Early Access to my videos and to support my work, or you can Click the “Super Thanks” button below the video to send a highlighted comment!