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At Embedded World 2025, CodeWrights, based in Karlsruhe, Germany, showcased their expertise in software development for measurement device manufacturers within the automation technology sector. Their services encompass the entire product development lifecycle, with a particular emphasis on embedded Linux solutions. This includes assisting clients in integrating and optimizing embedded Linux systems tailored to specific measurement devices, ensuring seamless functionality and performance.

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A significant focus at their booth was the upcoming European Union Cyber Resilience Act (CRA), which entered into force on December 10, 2024, and will be applicable from December 11, 2027. This regulation mandates stringent cybersecurity requirements for products with digital elements, aiming to enhance resilience against cyberattacks across the EU. CodeWrights offers consulting services to help device manufacturers navigate these new regulations, starting with comprehensive gap analyses to identify areas needing compliance improvements.

The company reported engaging with numerous visitors at Embedded World 2025, reflecting the industry’s keen interest in both hardware components and software services. With a team of 50 employees, predominantly software developers, CodeWrights combines technical proficiency with dedicated marketing and sales teams to deliver tailored solutions to their clients.

In addition to their service offerings, CodeWrights is actively expanding its team, seeking new members to join their embedded sector initiatives. This growth aligns with their commitment to addressing the evolving challenges in automation technology and cybersecurity compliance.

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At Embedded World 2025, Microchip Technology showcased a truck loading bay monitoring demonstration, highlighting the capabilities of their SAMA7G54 microprocessor. This Arm Cortex-A7-based MPU, operating up to 1GHz, integrates advanced imaging and audio subsystems, including a MIPI CSI-2 camera interface, facilitating real-time object detection and machine learning applications.

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Synaptics is my Embedded World 2025 video coverage sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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The demonstration utilized Microchip’s Ampulse toolset to develop a custom machine learning model capable of detecting trucks within the loading bay. Each detected truck was represented by a blue point on the display, turning the corresponding spot red when a truck occupied it, thereby providing an intuitive visualization of the monitoring system’s functionality.

In addition to the truck loading bay monitoring demo, Microchip’s booth featured various other interactive exhibits. Notably, a setup incorporating Lego structures and a multitude of sensors showcased the versatility and integration capabilities of Microchip’s embedded solutions in diverse applications.

The SAMA7G54 microprocessor supports up to 2GB of DDR memory and includes interfaces such as dual Ethernet ports (Gigabit and 10/100), multiple CAN-FD channels, and high-speed USB connections. These features make it suitable for industrial and automotive applications requiring robust connectivity and real-time data processing.

Microchip’s commitment to providing comprehensive development support is evident through their SAMA7G54-EK evaluation kit. This kit offers connectors and expansion headers for easy customization, facilitating rapid prototyping and integration into various embedded systems.

The integration of advanced peripherals, such as the MIPI CSI-2 camera interface, allows developers to implement low-power stereo vision applications with enhanced depth perception. This capability is particularly beneficial for applications in machine vision and automation, where accurate environmental mapping is crucial.

Microchip’s participation in Embedded World 2025 underscores their dedication to advancing embedded control solutions. By offering products like the SAMA7G54, they enable developers to create efficient, high-performance applications across various industries, from industrial automation to consumer electronics.

For more information on Microchip’s products and solutions, visit their official website: https://www.microchip.com

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Pete Bernard, Executive Director of the EDGE AI FOUNDATION, discusses the organization’s mission and activities. The EDGE AI FOUNDATION, formerly known as the tinyML Foundation, is a global non-profit community dedicated to innovation, collaboration, advocacy, and education in energy-efficient, affordable, and scalable edge AI technologies. citeturn0search1 Their goal is to democratize edge AI technology, making it accessible and impactful for all while fostering sustainability and responsible practices.

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Synaptics is my Embedded World 2025 video coverage sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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The foundation engages in various initiatives, including technical and business working groups that focus on best practices in areas like audio AI, neuromorphic computing, and generative AI on the edge. They collaborate with technology partners such as Qualcomm, Edge Impulse, and NXP to drive innovation in the edge AI space. citeturn0search1 Additionally, the foundation emphasizes educational efforts by developing curricula for universities, offering scholarships, and educating end-users and companies about the potential of edge AI technologies.

At Embedded World 2025, held from March 11-13 in Nuremberg, Germany, the EDGE AI FOUNDATION showcased their commitment to connecting AI to real-world applications. Their booth featured the winners of the BLUEPRINT Awards for outstanding edge AI solution deployments and organized a scavenger hunt to highlight AI’s presence in various locations around the event. They also sponsored the IoT Stars event, where Pete Bernard participated in a fireside chat, and hosted technical talks on state-of-the-art developments in edge AI.

The foundation’s rebranding from tinyML to EDGE AI FOUNDATION reflects the rapid evolution and expanding scope of edge AI technologies. This change signifies their dedication to embracing the enormous potential for edge AI in real-world applications and uniting diverse industry leaders, researchers, and practitioners to drive collective progress.

Through partnerships with academia and industry, the EDGE AI FOUNDATION aims to bridge the gap between research and practical deployment. They focus on providing resources such as high-quality datasets, models, and code to support the development of small neural networks tailored for specific tasks. This approach ensures that advancements in edge AI technology benefit society and the environment.

The foundation also emphasizes responsible AI practices, supporting efforts for sustainable and ethical AI through collaborations with NGOs and partner organizations. By fostering a diverse community and sharing knowledge, they aim to inspire breakthroughs and unlock opportunities across various industries.

Their global events, such as the upcoming EDGE AI FOUNDATION Austin 2025, provide platforms for industry experts, researchers, and enthusiasts to connect, innovate, and deploy cutting-edge edge AI technologies. These gatherings highlight how edge AI is driving agile, adaptable, and powerful solutions across various sectors.

The EDGE AI FOUNDATION continues to be a pivotal force in the edge AI community, driving innovation and collaboration to shape the future of AI at the edge. Their efforts ensure that edge AI technologies are not only advanced but also accessible and beneficial to a broad spectrum of applications and industries.

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

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At Embedded World 2025, Arcane Four unveiled TeleCANesis, a tool designed to streamline data transfer across various systems and transport protocols. This solution minimizes the need for repetitive boilerplate code, enabling rapid setup of connections and ensuring seamless data flow within applications. The demonstration showcased TeleCANesis operating on a Linux system powered by the i.MX 8M Plus processor.

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TeleCANesis offers two primary tools: a web-based system architecture interface and an extension for Visual Studio Code (VS Code). The web-based tool allows system architects to design and map out data flow by creating “blueprints.” Users can drag and drop various “capsules,” each representing different system components, such as QNX capsules or Linux cloud capsules. Connectors like CAN receivers, MQTT receivers, and ZeroMQ transmitters facilitate data routing between these capsules, ensuring efficient communication across the system.

For engineers, the VS Code extension provides a more hands-on approach. By importing messages from a DBC file—commonly used in automotive contexts to define CAN bus messages—engineers can create internal representations that the TeleCANesis engine comprehends. This process involves setting up receivers and transmitters, such as a socket CAN receiver for Linux systems and a Storyboard IO transmitter for user interfaces. This integration within VS Code offers engineers a familiar environment to configure and manage data flows effectively.

Arcane Four’s experience in systems integration has led to the development of TeleCANesis, addressing the challenges of modern, complex systems that require multiple interconnected components, including cloud servers and various devices. By reducing the need for repetitive coding, TeleCANesis enhances development efficiency and ensures consistent data flow across diverse platforms.

The company’s business model centers on providing development tools like TeleCANesis, granting users access to these advanced features. Arcane Four is based in Ottawa, Canada, and continues to focus on bridging the gap between hardware and software in embedded systems.

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At Embedded World 2025, Clarinox Technologies, headquartered in Melbourne, Australia, showcased its advanced wireless protocol stacks, including Bluetooth Low Energy (BLE), Bluetooth Classic, and Wi-Fi. The company’s Chief Technology Officer, Gokan Teri, highlighted their focus on channel sounding—a cutting-edge BLE technology for precise distance measurement and location tracking based on time-of-flight principles.

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Clarinox’s protocol stacks are designed for compatibility with various chipsets. For Bluetooth applications, they support any component adhering to the Host Controller Interface (HCI) standard. In Wi-Fi solutions, Clarinox collaborates with NXP and Texas Instruments, utilizing chipsets like NXP’s RW612 and Texas Instruments’ CC33 and 335 series, which integrate application processors with Wi-Fi 6 and BLE 5.4 capabilities.

A notable feature demonstrated was Auracast, a Bluetooth streaming technology enabling synchronized audio transmission to multiple receivers without the need for individual connections. This connectionless approach, akin to multicast streaming, is ideal for public venues, allowing users to seamlessly receive audio streams and manage personal communications, such as incoming calls, without disruption.

Clarinox emphasizes robust partnerships across operating system providers, chip manufacturers, and module producers to ensure seamless integration and performance of their wireless solutions. Their debugging tool, ClariFi, enhances development efficiency by capturing and visualizing complex scenarios, such as Wi-Fi mesh networks, and supports audio quality analysis by recording audio streams in various codecs, including the latest LC3 codec.

The company’s core offerings include licensing their Bluetooth and Wi-Fi protocol stacks, providing clients with fully functional applications that operate out-of-the-box. This approach allows customers to bypass intricate low-level configurations, expediting development timelines and reducing complexity.

Beyond their Melbourne headquarters, Clarinox maintains offices in Chennai, India, and Izmir, Turkey, reflecting their global presence and commitment to supporting a diverse client base across multiple regions.

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At Embedded World 2025, Imagination Technologies showcased a range of advancements in GPU technology and open-source initiatives. One highlight was a demonstration of a large language model (LLM) implemented by a partner on an xdx PCI Express card. This setup utilized a general-purpose GPU (GPGPU) with a compute pipeline, offering a more affordable and flexible alternative to larger GPUs in server environments.

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Another significant showcase was the introduction of Imagination’s open-source driver stack. Demonstrated on the BeaglePlay board from the Beagle Foundation, this low-cost, low-power single-board computer features Texas Instruments’ Sitara AM625 SoC, which integrates Imagination’s AXE-1-16M GPU. The open-source driver stack provides native Vulkan support, enabling translation layers like Zink to facilitate OpenGL ES compatibility.

Imagination also presented a driver monitoring system leveraging video processing to assess driver attentiveness. This system employs OpenCL compute libraries running on the GPU’s compute pipeline to execute AI software, highlighting the GPU’s versatility in safety-critical applications.

Additionally, the company showcased hardware GPU virtualization capabilities using Texas Instruments’ AM69 SoC, which houses the BXS-4-64 GPU. This demonstration featured multiple applications running on separate hardware interfaces of the GPU, known as hyperlanes. These dedicated hardware interfaces allow direct communication between the GPU and virtual machines, ensuring near-native performance without the need for software-based virtualization.

Imagination’s commitment to open-source development was further underscored by their release of open-source drivers for their PowerVR Rogue architecture GPUs. This initiative enables developers and OEMs to have greater control over their graphics software stacks, promoting flexibility and long-term support across various platforms.

The company’s engagement with the RISC-V ecosystem was also evident, as they have become a preferred choice for RISC-V SoCs. This collaboration aims to bring advanced graphics capabilities to RISC-V platforms, expanding the reach of Imagination’s GPU technologies.

Throughout the event, Imagination Technologies emphasized their focus on delivering flexible, high-performance GPU solutions tailored for embedded systems, industrial applications, and AI workloads. Their open-source initiatives and hardware virtualization features position them as a key player in the evolving landscape of embedded computing.

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At Embedded World 2025, Morse Micro showcased its advancements in Wi-Fi HaLow technology, emphasizing its potential to revolutionize IoT connectivity. Wi-Fi HaLow operates in the sub-1 GHz ISM bands, specifically 863-868 MHz in Europe and 902-928 MHz in the Americas, offering enhanced range and building penetration compared to traditional Wi-Fi frequencies. This technology leverages Wi-Fi modulation techniques to provide higher throughput than protocols like LoRa, supporting data rates up to 32.5 Mbps.

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Morse Micro’s MM6108 System-on-Chip (SoC) integrates radio, PHY, and MAC functions in compliance with the IEEE 802.11ah standard. This single-chip solution supports flexible RF interfaces, allowing for on-chip amplification or the use of external power amplifiers and front-end modules for ultra-long-reach applications. The MM6108’s efficient design ensures extended sleep times and reduced power consumption, making it ideal for battery-operated IoT devices.

The company also introduced the MM8102 Wi-Fi HaLow SoC, tailored for the European and Middle Eastern markets. Optimized for 1 MHz and 2 MHz bandwidths with 256-QAM modulation, the MM8102 achieves throughputs up to 8.7 Mbps. Operating in the sub-GHz ISM bands, it offers greater range and signal penetration than conventional Wi-Fi networks. The MM8102 complies with regional regulatory requirements, simplifying development for IoT device manufacturers.

For developers, Morse Micro offers evaluation platforms like the HaLowLink 1, a combined Wi-Fi 4 and Wi-Fi HaLow router. This platform enables easy assessment of Wi-Fi HaLow’s capabilities and facilitates integration into existing infrastructures. Additionally, the MM6108-EKH03 development platform provides seamless connectivity and supports various applications, ensuring security and reliability in IoT deployments.

Morse Micro’s technology has been integrated into products from various partners. For instance, Vantron’s VT-USB-AH-8108 Wi-Fi HaLow dongle, powered by the MM8108 chipset, delivers up to 43 Mbps connectivity and is designed for plug-and-play integration into existing systems. This collaboration highlights the growing demand for long-range, low-power connectivity solutions in the IoT ecosystem.

The company’s Wi-Fi HaLow solutions are particularly beneficial for applications requiring extended range and robust connectivity, such as industrial automation, smart metering, and perimeter security. By operating in the sub-1 GHz bands, Wi-Fi HaLow ensures reliable performance in challenging environments, making it suitable for both indoor and outdoor IoT applications.

Morse Micro’s commitment to advancing Wi-Fi HaLow technology positions it as a leader in the IoT connectivity landscape. By addressing the limitations of traditional Wi-Fi and offering scalable, energy-efficient solutions, the company is set to drive the next wave of IoT innovations across various sectors.

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

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Raspberry Pi presented its latest Compute Module 5 (CM5) at Embedded World 2025, highlighting significant enhancements over the Compute Module 4. The CM5 offers double the performance through updated hardware and incorporates additional peripherals, providing improved flexibility for diverse applications. Raspberry Pi also displayed a dedicated Compute Module I/O board designed specifically for seamless integration with the CM5, encouraging developers to build custom I/O boards tailored to their specific requirements. More details are available at https://www.raspberrypi.com.

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Synaptics is my Embedded World 2025 video coverage sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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In addition, Raspberry Pi showcased its advanced AI imaging solutions, prominently featuring the Sony IMX500 sensor-based AI cameras. These cameras integrate AI processing directly on-chip, enabling real-time applications such as person counting and object classification without external processing units. The demonstrated products highlighted edge-based AI acceleration, significantly optimizing resource usage and enhancing privacy by processing data locally.

Another key feature introduced was the AI Hat Plus equipped with a Hailo AI accelerator, specifically compatible with the Raspberry Pi 5. This solution significantly enhances machine-learning capabilities, including facial recognition, and can utilize various camera inputs, ranging from official Raspberry Pi camera modules to standard USB webcams. The demonstration at the booth included live facial recognition with instant identification using locally trained data.

The Raspberry Pi booth further emphasized real-world applications, featuring various partner implementations utilizing Raspberry Pi hardware for industrial and commercial environments. These included robust industrial solutions like the Revolution Pi, known for its reliability in demanding conditions. Additionally, practical deployments such as digital signage systems demonstrated Raspberry Pi’s adaptability and widespread acceptance in diverse industry segments.

Despite a technical issue preventing live demonstrations, Raspberry Pi also planned to highlight their microcontroller offerings. These microcontrollers aim to complement their existing product lineup by addressing low-power, cost-effective applications where full-fledged computers would be excessive. Raspberry Pi continues its mission of enabling efficient solutions across embedded computing scenarios, from edge computing to complex AI-driven tasks.

The integration of Sony IMX500 image sensors into Raspberry Pi’s AI products underscores their push towards embedded vision applications, particularly for edge inference. The IMX500 cameras execute both image sensing and AI inference entirely on-chip, enabling efficient applications such as smart surveillance, retail analytics, and automated person counting without external processing overhead.

Industrial partners also prominently featured Raspberry Pi-based solutions at the event, reflecting the ecosystem’s maturity and Raspberry Pi’s strong foothold in industrial contexts. These partnerships underline a significant shift toward deploying Raspberry Pi hardware beyond educational and hobbyist sectors, emphasizing robust, scalable industrial applications where reliability, affordability, and flexibility are paramount.

Overall, Raspberry Pi’s presentation at Embedded World 2025 emphasized its strategic focus on AI acceleration, performance improvement, and versatility, aiming to extend the capabilities and appeal of their hardware solutions across professional and industrial applications. The introduction of specialized hardware like the Hailo accelerator alongside the Compute Module 5 reflects Raspberry Pi’s continued evolution to meet increasingly complex technical demands.

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