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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.

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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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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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At Embedded World 2025, Seeed Studio showcased its latest advancements in edge computing and AIoT solutions. A notable highlight was their chatbot device, capable of processing natural language queries and delivering responses both audibly and visually. This integration leverages cloud connectivity and large language models to facilitate seamless human-computer interactions.

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Another prominent exhibit was the manipulation robotic arm. Although a technical issue prevented a live demonstration, the arm is designed to mimic human gestures through manual training via a handling bar. This approach allows the robotic arm to learn and replicate complex movements, enhancing its utility in automation tasks.

Seeed Studio also introduced the reComputer series, powered by NVIDIA Jetson platforms. These edge computing devices are tailored for AI applications, offering robust processing capabilities in a compact form factor. They serve as versatile solutions for developers aiming to deploy machine learning models at the edge, addressing the growing demand for localized data processing.

In collaboration with BeagleBoard.org and Texas Instruments, Seeed Studio has developed the BeaglePlay and BeagleV boards. These platforms cater to the open-source community, providing flexible hardware solutions for various applications, from educational tools to industrial projects. The BeagleV, in particular, features a RISC-V architecture, reflecting the industry’s shift towards open instruction set computing.

The XIAO series, known for its compact design, was also on display. These microcontroller units, based on chipsets like the RP2040 and ESP32, offer a balance between size and functionality. They are ideal for wearable devices, DIY keyboards, and other projects where space is a constraint but performance remains crucial.

Seeed Studio’s Grove ecosystem continues to expand, offering a modular approach to sensor integration. This plug-and-play system simplifies the process of adding sensors to projects, making it accessible for both beginners and seasoned developers. The ecosystem supports a wide range of sensors, from environmental monitoring to motion detection.

During the event, Seeed Studio engaged with numerous system integrators and distributors, reflecting its commitment to collaboration and community building. These interactions underscore the company’s role in fostering innovation through partnerships and knowledge sharing.

For more information on Seeed Studio’s products and services, visit their official website: https://www.seeedstudio.com/

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Synaptics demonstrated their latest Bluetooth connectivity solution, the 4382 triple combo chip, featuring Wi-Fi, Bluetooth, and Thread capabilities. This demo particularly highlighted Bluetooth LE Audio, showcasing the chip’s capacity to handle multiple audio streams simultaneously, each in different languages. Such capability enables users to select personalized audio tracks directly through their Bluetooth LE Audio-compatible headsets, making it suitable for multilingual media consumption. Synaptics provides more information about their technology at https://www.synaptics.com.

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The practical demonstration showed content streamed to a headset in real-time, instantly switching languages upon use. An example given was a viewer watching a TV show or movie originally in English, who could choose to hear Spanish or German audio instead. This technology is particularly useful in scenarios like hosting international guests, allowing viewers to enjoy localized audio content without relying on subtitles.

Beyond entertainment, Bluetooth LE Audio has significant implications for gaming. Modern gaming consoles increasingly integrate social audio streams alongside gameplay audio, allowing gamers to hear in-game sounds and simultaneously communicate clearly with remote teammates. LE Audio supports this dual audio streaming with low latency, enhancing both interactivity and immersive gameplay experiences.

Additionally, LE Audio technology can be utilized in digital TVs and set-top boxes, expanding the possibilities for home multimedia setups. Synaptics emphasized that the technology is designed to meet the demands of high-end multimedia applications, enabling seamless synchronization of audio and video content across multiple devices. This integration ensures clear audio transmission, efficient bandwidth usage, and reduced latency.

The Synaptics 4382 chipset’s support for the Thread protocol also positions it favorably within smart home ecosystems. Thread offers a reliable, energy-efficient mesh network for IoT devices, complementing the connectivity provided by Wi-Fi and Bluetooth. This enables broader integration possibilities beyond multimedia, potentially extending into comprehensive smart-home solutions.

Bluetooth LE Audio introduces key advancements like the LC3 codec, which significantly improves audio quality at lower bit rates compared to traditional SBC codecs. This translates into better-sounding audio, extended battery life on wireless devices, and broader compatibility across numerous consumer electronics. With these technical advantages, LE Audio is poised to become the new industry standard for wireless audio transmission.

In summary, Synaptics is actively advancing the adoption of Bluetooth LE Audio through versatile solutions such as their 4382 triple combo chip. By enabling personalized audio streams in various languages, low-latency gaming audio, and high-quality multimedia experiences, LE Audio significantly upgrades how consumers interact with wireless audio technologies. As multimedia demands grow, such innovations will become essential in consumer electronics.

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Anand Roy, Senior Product Line Manager at Synaptics, demonstrates Bluetooth Channel Sounding technology, which accurately measures distance based on packet exchanges between Bluetooth-enabled devices. This precise measurement triggers actions such as locking or unlocking devices depending on proximity. Synaptics showcases a practical demonstration where the screen locks automatically at distances beyond a predefined threshold (1.8 meters), and unlocks as the user moves closer again. For more details on Synaptics’ technology, visit https://www.synaptics.com.

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Bluetooth Channel Sounding operates by measuring the time and characteristics of Bluetooth signal packets exchanged between two paired devices, allowing highly accurate estimation of physical distance. This technology has notable implications for convenience, security, and automation. In practice, it enables use-cases like automated device unlocking without manual intervention, significantly streamlining user experiences in various everyday scenarios.

One of the most immediate applications demonstrated involves automatic locking and unlocking of screens. By setting distance thresholds, the system reacts dynamically to the user’s proximity, locking the screen when the paired device moves beyond the defined range, and unlocking when it returns within proximity. The demonstration showed the unlocking at around 1 meter (approximately 3 feet), locking when beyond 1.8 meters, and reliably unlocking again upon returning.

The potential for Bluetooth Channel Sounding extends into broader consumer markets, particularly home security and automation. Smart locks equipped with this technology can automatically detect the homeowner’s smartphone, unlocking doors without manual input, and conversely securing the premises automatically as they depart. This provides convenience along with enhanced security, preventing unauthorized access without the appropriate device authentication.

Automotive industries also represent a major sector for Bluetooth Channel Sounding adoption. Modern keyless entry systems rely on proximity detection to unlock vehicles automatically as owners approach, while remaining secured against unauthorized access attempts. Synaptics’ implementation promises improvements in the accuracy and reliability of these systems, potentially replacing or supplementing existing approaches that rely primarily on traditional RFID or proximity sensors.

Another significant advantage of Synaptics’ Bluetooth Channel Sounding technology is its robustness against interference. Unlike systems requiring direct line-of-sight, Bluetooth-based channel sounding remains effective even in environments where devices do not have an unobstructed path to each other. Thus, it performs reliably across varied conditions typical in residential or automotive contexts.

Overall, Bluetooth Channel Sounding technology from Synaptics addresses the increasing market demand for automated, secure, and user-friendly proximity-based interactions. The precise and reliable distance measurement enhances user convenience in numerous applications, from personal devices to home security and automotive entry systems. This technology exemplifies how accurate proximity sensing is becoming integral to smart connectivity ecosystems, providing both seamless user experiences and enhanced security capabilities.

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At Embedded World 2025, Grinn unveiled their latest innovation: the AstraSOM-1680, a system-on-module (SoM) built around Synaptics’ Astra SL1680 processor. This processor features a quad-core Arm Cortex-A73 CPU and an 8 TOPS neural processing unit (NPU), designed to deliver high-performance edge AI capabilities. citeturn0search1 Grinn’s demonstration showcased the module’s ability to recognize various radio frequency (RF) modulations in real-time, highlighting its potential in edge computing applications.

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The AstraSOM-1680 integrates the SL1680 processor’s capabilities, including the PowerVR Series9XE GPU, 4GB of LPDDR4 memory, and 16GB of eMMC storage. citeturn0search1 This configuration ensures efficient handling of complex video inputs and outputs, making it suitable for real-time image processing and AI-driven tasks. The module’s architecture allows for the simultaneous operation of the NPU and CPU cores, ensuring that visual processing tasks do not hinder other system functions.

Grinn’s approach to edge AI emphasizes the integration of advanced processing capabilities directly within devices, reducing latency and enhancing data privacy by minimizing reliance on cloud-based computations. By treating cameras and sensors as intelligent entities, Grinn aims to unlock new applications across various industries. The company’s expertise in designing and producing these modules in Europe, specifically in Poland, ensures adherence to high-quality manufacturing standards.

With 17 years in the market, Grinn has established itself as a reliable partner for clients worldwide. Their team of engineers is dedicated to assisting customers in translating innovative ideas into market-ready products, leveraging the capabilities of modules like the AstraSOM-1680 to accelerate development cycles and improve efficiency.

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Ananda Roy, Senior Product Line Manager at Synaptics (https://www.synaptics.com), demonstrated their latest AI-enhanced Wi-Fi sensing technology at Embedded World 2025. Utilizing their compact Wi-Fi chip, the 43752, integrated into the Astra Machina development kit, Synaptics showcased a method of environmental sensing through Wi-Fi signal deflection. The chip operates by exchanging packets with a router, interpreting signal reflections to detect the presence and movements of people within a room.

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The technology relies on analyzing Channel State Information (CSI) from Wi-Fi signals, creating graphical representations that AI algorithms interpret. Synaptics has developed machine learning models capable of identifying subtle indicators, such as human breathing, which appear as regular, periodic wave patterns. Larger movements produce distinctly wider patterns, allowing clear differentiation between stationary presence and active motion.

Ananda explained that the AI model operates with defined confidence thresholds to accurately distinguish between various activities, ensuring reliable detections. Currently, the model is finely tuned to differentiate between stationary breathing and significant movements, but its capabilities extend beyond this initial scope. Through additional training, the AI can identify specific situations, such as falls, multiple occupants, or unique motion signatures, significantly broadening its potential applications in security, healthcare, and smart homes.

A key advantage highlighted by Ananda is the absence of additional hardware requirements. Since Wi-Fi is already standard in most IoT devices, Synaptics’ technology eliminates the need for supplementary sensors like radar or Ultra Wideband (UWB), enabling cost-effective and seamless integration. Devices equipped with existing Wi-Fi capabilities can immediately utilize this advanced sensing feature.

This approach leverages Wi-Fi’s widespread availability, making it practical for diverse environments. Synaptics’ system effectively uses environmental RF signal reflections, providing a non-invasive and privacy-friendly alternative to cameras or intrusive sensors. By harnessing inherent wireless infrastructure, it becomes possible to enhance existing IoT products, offering scalable sensing capabilities without extensive modifications.

Synaptics’ implementation demonstrates how AI-driven interpretations of Wi-Fi signals can significantly expand traditional connectivity roles, transforming passive network hardware into active sensing infrastructure. This technology presents valuable use cases, such as occupancy detection, elder care monitoring, fall detection, and home automation, demonstrating a notable step forward in smart environment interactions.

The demonstration at Embedded World 2025 showcased not only technical feasibility but practical versatility, emphasizing Synaptics’ approach toward integrated, minimally intrusive environmental sensing solutions. As the AI model evolves, Anand suggested it could be further trained to recognize specific patterns, such as counting occupants or detecting emergency events, enhancing its adaptability to diverse real-world scenarios.

Synaptics’ demonstration emphasized the shift from specialized, single-purpose sensors toward multifunctional use of commonplace technologies, highlighting the potential of Wi-Fi as a robust sensing medium. This advancement supports the integration of more intelligent, responsive environments without significant hardware complexity or cost overhead, representing a notable development for the IoT and connected device industries.

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At Embedded World 2025, Synaptics, in collaboration with partners Eim and the Fraunhofer Institute, showcased a prototype featuring a six-microphone array capable of capturing audio from four distinct directions. This setup leverages advanced beamforming techniques to isolate and enhance audio signals from a targeted direction, effectively suppressing noise from other sources.

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Central to this demonstration is the Synaptics SL1620 System-on-Chip (SoC), running a Linux-based operating system. The SL1620 is engineered for embedded applications requiring robust processing capabilities, advanced artificial intelligence (AI) functionalities, and 3D graphics support. Its architecture includes a quad-core Arm® Cortex®-A55 CPU operating at up to 1.9GHz, an Imagination™ BXE-2-32 GPU, and support for dual displays via MIPI DSI interfaces. citeturn0search0

The prototype’s microphone array is integrated with AI-driven noise reduction algorithms, enhancing voice clarity by filtering out ambient noise. Users can manually select the desired audio beam or enable automatic beam selection, allowing the system to dynamically track and focus on the primary speaker. This functionality is particularly beneficial in environments such as home offices, call centers, or conference rooms, where multiple conversations may occur simultaneously.

The SL1620 SoC’s comprehensive feature set includes support for various peripherals, audio processing capabilities, and secure boot mechanisms, making it a versatile solution for diverse embedded applications. Its design emphasizes high performance per watt, catering to the demands of modern IoT devices that require efficient and secure processing. citeturn0search0

This demonstration underscores Synaptics’ commitment to advancing edge computing and AI integration in embedded systems, providing developers with the tools to create responsive and intelligent applications. By leveraging the SL1620’s capabilities, developers can implement sophisticated audio processing features, enhancing user experiences across various domains.

For more information on the SL1620 and other Synaptics products, visit their official website: https://www.synaptics.com

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Synaptics has introduced its new 461x family of wireless connectivity modules, which support the Matter standard, as demonstrated at Embedded World 2025. The demonstration was led by Anand Roy, Senior Product Line Manager for Wireless Connectivity, showcasing the Astra development kit. The kit includes Synaptics’ compact 461x module, designed for controlling smart home devices like smart bulbs. The full range of Synaptics’ products and capabilities can be explored further on their official website: https://www.synaptics.com.

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The showcased device utilizes the Matter connectivity standard, allowing seamless interoperability across various ecosystems. Matter compliance ensures compatibility between smart home devices from different manufacturers, streamlining user experience and device management. The Astra dev kit controls a smart light bulb, demonstrating real-time interactions and responsiveness via an intuitive application running on a Wi-Fi-connected tablet.

Synaptics’ 461x module supports both Zigbee and Thread protocols, which operate within the IEEE 802.15.4 standard. These low-power wireless technologies are essential for reliable connectivity and efficient device communication in home automation networks. By combining Matter with Zigbee and Thread support, the module ensures versatile deployment scenarios for developers and manufacturers of IoT products.

During the demonstration, the application controlled the connected smart bulb effortlessly. Actions included toggling the bulb’s power, adjusting brightness levels, and altering colors from orange to yellow and blue. The intuitive controls provided by the smart app highlight the usability enhancements enabled by Synaptics’ wireless connectivity modules.

Moreover, Synaptics emphasizes the importance of multimodal control options, demonstrating the 461x module’s capability in handling voice recognition and audio events. This feature expands user interactions beyond conventional apps, enabling voice-based commands for greater convenience in smart home environments. Such capabilities underline Synaptics’ commitment to enhancing smart home automation through versatile and accessible technologies.

The Astra development kit not only illustrates practical use-cases but also provides developers with essential tools for rapid prototyping and development of Matter-compatible IoT devices. The comprehensive functionality embedded in the 461x series processors accelerates the integration of voice-controlled applications into consumer electronics, significantly reducing time-to-market.

Synaptics’ demonstration at Embedded World 2025 underscores the growing industry focus on interoperability and ease-of-use in smart home environments. As consumer adoption of IoT devices continues to grow, Synaptics’ Matter-compatible modules offer significant potential for developers and device manufacturers seeking reliable, scalable connectivity.

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Synaptics has developed an innovative approach to integrating large language models (LLMs) into household appliances, demonstrated through a prototype dishwasher interface. By extracting common user inquiries from a dishwasher manufacturer’s user guide, they created a system capable of understanding and responding to voice commands without requiring internet connectivity. This offline functionality ensures user privacy and reliability.

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The core of this system is the Synaptics SL1680 processor, a highly integrated AI-native system-on-chip (SoC) optimized for multi-modal consumer, enterprise, and industrial IoT workloads. The SL1680 features a quad-core Arm® Cortex®-A73 64-bit CPU subsystem, a multi-TOPS neural processing unit (NPU), and a high-efficiency GPU for advanced graphics and AI acceleration. These components enable efficient on-device processing of complex AI tasks, such as natural language understanding and speech recognition. citeturn0search1

In the prototype, the system performs speech-to-text conversion to interpret user queries. It then vectorizes these queries and matches them against a pre-processed set of frequently asked questions using the NPU’s capabilities. Once the best match is identified, the system generates a voice response through text-to-speech synthesis, providing users with immediate assistance. For example, when asked, “How can I put plastic on my dishwasher?” the system responds with guidance on placing dishwasher-safe plastics on the top rack to avoid melting.

This integration of LLMs into appliances like dishwashers offers potential benefits beyond user convenience. Manufacturers could reduce the volume of calls to customer service centers by enabling appliances to address common user issues directly. Additionally, this technology could be applied to other devices, such as set-top boxes, to assist users in troubleshooting without external support.

The SL1680’s architecture supports running multiple AI models in parallel, allowing for a range of functionalities within a single device. This flexibility means that while the current implementation focuses on specific use cases, future developments could expand the system’s capabilities without significant hardware changes. For instance, users might issue commands like “Do it in a quick mode” without pressing any buttons, streamlining appliance operation.

Localization is another advantage of this technology. The system can be programmed to support multiple languages and understand various accents, making it adaptable to diverse markets. This adaptability ensures that users worldwide can interact naturally with their appliances, enhancing the overall user experience.

Updating the system with new information or responses is straightforward. Manufacturers can deploy updates over the internet or via mobile devices, ensuring that appliances remain current with the latest user guides and troubleshooting procedures. This ease of update allows for continuous improvement of the system’s responsiveness and accuracy.

The cost implications of integrating such advanced AI capabilities into appliances are manageable. Since the SL1680 SoC is designed for efficiency and performance, manufacturers can incorporate these features without substantial increases in production costs. This balance ensures that consumers receive enhanced functionality without a significant price hike.

Incorporating LLMs into household appliances represents a significant step toward more intuitive and user-friendly home environments. By leveraging Synaptics’ SL1680 processor, manufacturers can deliver smart appliances that not only perform their primary functions but also assist users through natural language interactions, setting the stage for a new era of intelligent home devices.

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Synaptics showcased its Astra Machina Foundation Series developer kit at Embedded World 2025, part of the Dev Kit Zone organized by Embedded Computing Design. Dave Garrett, VP of Technology and Innovation at Synaptics, presented the Astra Machina, highlighting its substantial potential for developers working with edge computing, IoT, and neural networks. The Astra Machina kits include high-performance SL-Series processors featuring ARM Cortex A-class CPUs, GPUs, and integrated Neural Processing Units (NPUs), delivering up to eight TOPS of neural acceleration for advanced machine learning tasks.

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The Astra Machina development kits showcased at Embedded World 2025 run a Linux-based platform built on Yocto, accessible via Synaptics’ Embedded Software SDK (ESSDK) on GitHub. This allows developers quick integration with Python, HuggingFace models, and popular ML frameworks, significantly speeding up the prototyping process. The kits come ready with USB peripherals, GPIO, USB, I²C, I2S, HDMI, and display interfaces, making it easy to connect sensors, cameras, microphones, and other external peripherals essential for comprehensive edge applications.

Dave Garrett emphasized the importance of practical, hands-on experience, encouraging developers to experiment broadly with these kits to maximize their potential. At the Dev Kit Zone, hosted by Embedded Computing Design, Synaptics demonstrated real-world applications, including industrial-grade computer vision for automated pill sorting on conveyor systems. The demonstration showed Astra Machina’s capability to perform real-time, accurate image recognition and object classification directly at the edge, underscoring its suitability for various smart industrial and consumer applications.

Wireless connectivity is another key component of Astra Machina kits. Synaptics integrates their proprietary Wi-Fi and Bluetooth modules, enabling seamless IoT connectivity essential for diverse applications from smart homes to industrial automation. This integrated wireless capability helps developers easily deploy comprehensive IoT ecosystems without the need for additional complex hardware configurations.

Synaptics maintains a strong commitment to open-source software and has collaborated with Google Research on open-source compilers for machine learning networks. This partnership supports extensive compatibility with popular neural network frameworks, enabling developers to rapidly deploy sophisticated ML models across Synaptics’ diverse hardware platforms. The intent is clear: facilitating interoperability and simplifying developer experiences by avoiding proprietary lock-ins.

Developers interested in the Astra Machina Foundation Series can purchase kits immediately from authorized distributors like Mouser or directly via Synaptics’ developer portal (https://www.synaptics.com). Garrett emphasized the ease of setup, claiming developers can begin running neural networks within an hour of unboxing. He encouraged users to actively experiment, tweak, and innovate, pointing out that such iterative, hands-on approaches often lead to the most successful and impactful IoT products.

Beyond Astra Machina, Synaptics also previewed upcoming Reference Design Kits (RDKs), targeting ultra-low-power applications, capable of performing visual inference tasks in the milli-amp range. These kits, suitable for battery-powered applications, complement the higher-end performance seen in Astra Machina, offering flexible options to cater to varying edge-computing needs.

Overall, Synaptics’ participation in Embedded World 2025 highlighted its strategic push into powerful, open, and accessible development kits, designed explicitly to accelerate real-world innovation in IoT and edge computing technologies.

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Jamie from 42 Technology (https://www.42technology.com) showcases their application for automated line clearance at Embedded World 2025. Utilizing embedded edge AI technology, this demonstration addresses real-time quality control and anomaly detection specifically designed for pharmaceutical manufacturing processes. The system employs industrial-grade cameras and Synaptics’ Astra SL1680 edge AI processor to monitor pill production lines, accurately detecting contaminants and process irregularities.

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The demonstration specifically captures images of pills moving on a conveyor belt, analyzing these visuals instantly to identify anomalies based on color differentiation. Though color is the demonstrated differentiator here, the system’s AI capabilities are flexible, capable of identifying various anomalies or contaminants that pose significant risks in pharmaceutical production and other industrial applications.

42 Technology has spearheaded the design and conceptualization of this demonstration. Leveraging their expertise in manufacturing processes, instrumentation, and systems engineering, they collaborated closely with Synaptics, using the Astra SL1680 processor at the system’s core. The Astra platform, recognized for its edge AI performance, integrates seamlessly with Bala industrial camera systems to deliver precise imaging data for analysis.

A critical partner in this collaboration is Arcturus Networks, part of Synaptics’ ecosystem. Arcturus provided essential support in developing the machine learning aspects of the project, enabling accurate anomaly detection and enhancing the overall reliability and responsiveness of the embedded AI solution.

The showcased conveyor system replicates real-world pharmaceutical manufacturing environments. Pills are automatically ejected onto a production line, where real-time image analysis is conducted. The edge AI technology quickly counts pills, identifies irregularities, and logs any contaminants, providing immediate visual feedback and timestamped records. This capability allows operators to review anomalies rapidly and take prompt corrective action.

This solution addresses a common challenge in industrial manufacturing: ensuring line clearance and eliminating safety risks associated with contaminants or leftover packaging materials. The demonstration specifically illustrates detection of anomalies such as residual pill bottles or cartons that could otherwise remain unnoticed. Timely identification of these irregularities helps maintain safety standards, regulatory compliance, and operational efficiency.

This project highlights the effectiveness of collaborative development. It combines 42 Technology’s industrial expertise and integration skills, Synaptics’ specialized edge AI hardware, Bala’s robust vision systems, and Arcturus Networks’ sophisticated machine learning algorithms. Such multidisciplinary collaboration ensures that the final system is both reliable and versatile, suitable for diverse manufacturing contexts beyond pharmaceuticals.

As showcased at Embedded World 2025, this technology represents an effective use of edge AI in enhancing industrial safety and quality assurance. Its flexibility and adaptability to various anomaly detection scenarios illustrate a practical implementation of machine learning in manufacturing, marking a notable development in embedded industrial automation.

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At Embedded World 2025, Synaptics showcases its Veros brand, emphasizing reliability in wireless communication tailored for the Internet of Things (IoT). The Veros lineup integrates AI-native compute capabilities within connectivity solutions, aiming to enhance performance and efficiency across IoT applications.

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A notable addition to the Veros series is the 461x family, a triple-combo system-on-chip (SoC) that consolidates Wi-Fi, Bluetooth, and Zigbee/Thread functionalities into a single chip. This integration reduces design complexity and power consumption while maintaining robust performance across various ranges. Demonstrations showcased the chip’s capability to sustain approximately 40 megabits per second throughput even in congested environments, highlighting its efficiency and reliability.

The convergence of these three wireless technologies—traditionally implemented as separate components—into a unified SoC represents a significant advancement in IoT device design. By streamlining these functionalities, Synaptics addresses the growing demand for compact, energy-efficient, and high-performance solutions in the IoT landscape.

The Veros 461x’s AI-native compute capabilities enable contextually aware processing, allowing devices to make intelligent decisions at the edge without relying heavily on cloud services. This feature is particularly beneficial for applications requiring real-time responsiveness and enhanced security.

Synaptics’ commitment to advancing edge AI and wireless connectivity is evident in the Veros 461x family. By integrating multiple wireless protocols and AI processing into a single chip, Synaptics provides a versatile solution for developers aiming to create innovative and efficient IoT products.

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Renesas Electronics, a leader in embedded semiconductor solutions, showcased its GreenPAK™ programmable mixed-signal products at Embedded World 2025. GreenPAK devices enable engineers to integrate analog and digital functions into a single design, optimizing component count, board space, and power consumption. These cost-effective, non-volatile memory (NVM) programmable devices are ideal for applications ranging from handheld devices to automotive systems.

A key feature of GreenPAK is its integrated development environment, which allows designers to combine digital and analog blocks seamlessly. Using the GreenPAK Designer Software and development kits, custom circuits can be created and programmed in minutes, facilitating rapid prototyping and iterative design processes.

Renesas also introduced the SLG47105, a GreenPAK device equipped with digital resources and one-time programmable memory. This component is tailored for applications requiring precise digital control, such as segment displays and digital alarm clocks. Additionally, the SLG47105 features an H-bridge output, enabling efficient DC motor control with capabilities like overcurrent protection and constant speed maintenance, even under varying voltage conditions.

The versatility of GreenPAK extends to analog applications as well. For instance, the AN-O-PACK family integrates rich analog features, allowing for functions like light intensity tracking using simple sensor arrays. Other applications include DC-DC boost converters and buzzer drivers, demonstrating GreenPAK’s capability to manage power efficiently while maintaining a compact form factor.

Renesas provides comprehensive development tools to support GreenPAK designers. The GreenPAK Advanced Development Board (SLG4DVKADV) enables the development of custom designs using GreenPAK Mixed Signal ICs, allowing for rapid prototyping and testing. citeturn0search12 This platform supports a wide range of GreenPAK ICs, offering flexibility to designers working on diverse applications.

At Embedded World 2025, Renesas also announced Renesas 365, powered by Altium, a cloud-based platform designed to unify silicon, software, and hardware development. This solution aims to streamline electronics system development from silicon selection to system lifecycle management, enhancing collaboration and efficiency across engineering teams. citeturn0search1

In summary, Renesas’ GreenPAK programmable mixed-signal products and the introduction of Renesas 365 represent significant advancements in embedded system design. These innovations provide engineers with the tools to create efficient, compact, and versatile solutions across a wide range of applications, from consumer electronics to industrial automation.

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At Embedded World 2025, CODICO, a prominent European distributor for Synaptics, showcased a range of advanced products at their booth. Among the highlights were Synaptics’ Astra Machina development kits, the SL1680 processor, and the newly introduced SR110 microcontroller unit (MCU). These offerings underscore CODICO’s commitment to delivering cutting-edge solutions in the embedded systems market.

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The Astra Machina development kits are designed to facilitate rapid prototyping and development for IoT applications. Featuring modular designs, these kits incorporate swappable core compute modules, a common I/O board, and support for various daughter cards, offering flexibility and scalability for developers.

Central to these kits is the SL1680 processor, a high-performance system-on-chip (SoC) optimized for multimodal consumer, enterprise, and industrial IoT workloads. It boasts a quad-core Arm Cortex-A73 CPU, a multi-TOPS neural processing unit (NPU), and a high-efficiency GPU, enabling advanced graphics and AI acceleration. The SL1680 also integrates multimedia accelerators for image signal processing, 4K video encode/decode, and audio processing, making it a versatile solution for complex IoT applications.

The newly launched SR110 MCU extends Synaptics’ Astra platform by delivering high-performance, AI-native, multimodal compute capabilities. Based on the Arm Cortex-M55 core with Helium technology and the Arm Ethos-U55 NPU, the SR110 supports multiple tiers of operation—performance, efficiency, low-power sensing, and always-on modes. This architecture allows for intelligent processing at varying power levels, making it suitable for applications requiring context-aware computing.

A notable demonstration at the CODICO booth showcased the SR110’s capability to measure heart rate via a video stream. By capturing skin variations with each heartbeat, the system calculates the heart rate through frame-by-frame analysis. This innovative application exemplifies the potential of Synaptics’ processors in health monitoring and similar fields.

CODICO’s role extends beyond distribution; they provide comprehensive support to customers from the initial idea through to mass production. Their support engineers, experienced in hardware development, collaborate with a network of software companies to assist clients in bringing products to market efficiently.

For developers interested in these technologies, CODICO offers the Astra Machina kits and the SR110 micro kits through their sample shop. The Astra Machina kit is currently available from stock, while the SR110 micro kit is expected to be available starting in May.

By partnering with Synaptics, CODICO continues to provide state-of-the-art components that empower developers to create innovative IoT solutions. Their presence at Embedded World 2025 highlights their dedication to advancing embedded technologies and supporting the evolving needs of the industry.

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At Embedded World 2025, Toradex presented a comprehensive suite of embedded computing solutions, emphasizing their dedication to simplifying product development across various industries. A notable demonstration featured a customer’s innovative wheelchair capable of navigating stairs, underscoring Toradex’s role in providing robust Linux-based computing platforms that power intricate mechatronic systems.

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In their AI segment, Toradex showcased the capabilities of the Aquila AM69 System on Module (SoM), equipped with four Neural Processing Units (NPUs). This configuration efficiently processed inputs from eight simultaneous camera feeds, highlighting the platform’s robust AI processing capabilities suitable for demanding applications.

Another real-world application demonstrated was the deployment of the Verdin iMX8M Plus in marine environments. This system performed semantic segmentation to detect and map oceanic debris, illustrating the adaptability of Toradex’s solutions to rugged and mission-critical scenarios.

A standout exhibit was the T-Bot, a robot exemplifying heterogeneous multicore processing. It utilized a Cortex-A core running Linux alongside an M core responsible for real-time balancing tasks. This architecture ensured continuous operation even in the event of a Linux system crash, emphasizing system reliability.

Toradex also addressed the forthcoming EU Cyber Resilience Act, highlighting their proactive measures to assist clients in achieving compliance. Their offerings include secure boot processes and continuous vulnerability monitoring, ensuring products meet stringent security standards.

The company’s collaboration with Texas Instruments was evident in their support for various TI starter kits, such as the AM62 and AM62P. This partnership facilitates secure over-the-air updates and subsystem enhancements, streamlining development processes for clients.

An overview of Toradex’s product lineup revealed a focus on scalability and compatibility. The Verdin family, for instance, offers pin-compatible modules, allowing seamless transitions between different processors and performance levels. This flexibility enables tailored solutions without extensive redesigns.

Additionally, Toradex’s commitment to open-source principles was showcased through their provision of design files for carrier boards. Clients can download, modify, and manufacture these designs, accelerating development cycles and reducing time-to-market.

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At Embedded World 2025, MiTAC unveiled a suite of advanced embedded solutions tailored for diverse industrial applications. Central to their showcase was an AI training model and deployment software kit, built on an Intel platform integrated with the Intel GT tool kit. This configuration facilitates efficient AI model deployment and device management, streamlining edge AI implementation.

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MiTAC also demonstrated a compact AI edge device featuring a Hailo-8 AI processor, delivering up to 26 tera operations per second (TOPS). This integration offers substantial AI acceleration capabilities within a small form factor, making it suitable for applications requiring high-performance AI inference at the edge.

In the realm of fleet management, MiTAC presented a comprehensive system equipped with dual cameras—one monitoring the road and the other the driver. Leveraging algorithms for driver monitoring, the system detects behaviors such as phone usage, distraction, or drowsiness. Data is transmitted to a web platform, enabling fleet managers to oversee driver behavior and vehicle status in real-time.

MiTAC’s booth also featured various embedded boards, including ARM-based solutions like the NXP i.MX 8M and Intel platforms such as Tiger Lake UP3 and Alder Lake. Notably, the Alder Lake generation incorporates a dedicated neural processing unit (NPU), enhancing AI inference capabilities up to 22 TOPS, thereby addressing the growing demand for AI at the edge.

Additionally, MiTAC showcased self-service kiosks equipped with dual screens—one for advertisements and another for interactive ordering. Integrated cameras analyze customer demographics, such as age and gender, to deliver targeted advertising. These kiosks also feature thermal printers, barcode scanners, and payment modules, providing a comprehensive solution for retail environments.

Based in Taiwan, MiTAC continues to leverage its extensive manufacturing experience to deliver innovative embedded solutions. Their participation in Embedded World 2025 underscores their commitment to advancing technologies in AI, edge computing, and industrial automation.

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At Embedded World 2025, David Steele from Arcturus presented a line inspection demonstration developed in collaboration with 42 Technology (42T). The system operates on Synaptics’ SL1680 processor, integrating advanced object detection and color analysis to identify pills and detect contaminants on a conveyor belt. The SL1680’s architecture includes a quad-core Arm® Cortex®-A73 CPU and a multi-TOPS Neural Processing Unit (NPU), facilitating efficient edge AI processing.

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The demonstration utilizes a YOLOv8 model for object detection, specifically trained on a custom dataset to recognize pills. By leveraging Synaptics’ toolkit, the model’s preprocessing is executed directly on the NPU, reducing CPU load and optimizing system performance. This allocation allows the CPU to handle visualization and presentation tasks more effectively.

Integrating natural language processing (NLP) capabilities, such as ChatGPT, into such systems could enhance user interaction by enabling queries about anomaly correlations or failure statistics. This would involve adding another model to the existing ensemble, a feasible extension given the system’s modular design.

Arcturus employs an MLOps framework that facilitates continuous model improvement directly at the edge. This process involves collecting data from the operational device, building new datasets, training updated models, and comparing their performance against existing ones. Successful models can then be deployed in real-time, ensuring the system adapts to evolving operational conditions.

The application of AI in industrial inspection is poised to enhance analysis capabilities significantly. By deploying cost-effective models on efficient hardware like the SL1680, industries can achieve substantial improvements in inspection accuracy and speed. This advancement represents a shift from legacy algorithms to more sophisticated AI-driven solutions.

Arcturus is actively engaged in multiple AI projects, with approximately six initiatives currently underway. The rapid pace of AI innovation presents both challenges and opportunities, and the team is enthusiastic about exploring new use cases, particularly in edge computing environments.

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