Qualcomm has added two new IoT modules to its wireless connectivity product series: the Qualcomm QCC730M ‘micro-power’ WiFi 4 module and the QCC74xM tri-radio module, with both modules designed for smart homes, smart appliances, medical devices, and industrial applications. The Qualcomm QCC730M is a dual-band, micro-power Wi-Fi 4 module with a 60MHz Arm Cortex-M4F MCU, 640kB SRAM, 1.5MB RRAM, hardware crypto accelerator, and secure boot, debug, and storage. Its low-power design is ideal for portable, battery-powered IoT devices like IP cameras, sensors, and smart locks. Based on the Qualcomm QCC730 module, it features a 36-pin LGA package with a PCB antenna or RF connector and supports up to 4MB of optional NOR flash. The Qualcomm QCC74xM is Qualcomm’s “first programmable connectivity module,” integrating a 32-bit RISC-V module, optional stacked memory (PSRAM and NOR flash), and a tri-radio chipset for WiFi 6, Bluetooth 5.3, and IEEE 802.15.4 (Thread and Zigbee). Its [...]
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For the fourth year in a row, RAKwireless is participating in CNX Software’s Giveaway Week, and this year, the company is offering the Blues.ONE IoT development kit with LoRaWAN, LTE-M, and NB-IoT connectivity and 500MB of cellular data through the Blues NoteCard. The devkit can be used to prototype or develop IoT devices for industrial automation and asset-tracking applications and relies on the WisBlock modular IoT prototyping system with the RAK13102 WisBlock Blues Notecarrier, the Blues NoteCard, a WisBlock Base Board, and a WisBlock Core module. Blues.ONE kit content: RAK4631 WisBlock Core Module based on Nordic Semi nRF52840 Arm Cortex-M4F microcontroller @ 64 MHz with 1 MB Flash, 256 KB RAM, Bluetooth Low Energy 5.0 protocol stack Semtech SX1262 LoRa Transceiver with LoRaWAN 1.0.2 protocol stack RAK19007 WisBlock Base Board with 4x sensor slots, 1x IO slot, a USB Type-C port, a rechargeable battery connector, and a solar panel connector [...]
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Waveshare ESP32-P4-NANO is the first third-party ESP32-P4 RISC-V board we’ve seen and it follows the launch of the Espressif Systems’ ESP32-P4-Function-EV-Board devkit introduced this summer. While the ESP32-P4 is a general-purpose microcontroller, the ESP32-P4-NANO board still implements wireless connectivity through an ESP32-C6 WiFI 6 and Bluetooth LE 5.4 module and offers a range of interfaces such as an Ethernet RJ45 port with optional PoE, MIPI DSI and CSI interfaces, a USB Type-A OTG port, and GPIO headers for expansion. ESP32-P4-NANO specifications: Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 KB LP SRAM, 8 KB TCM, 32MB PSRAM Storage – 128 KB HP ROM, 16 KB LP ROM Wireless module – [...]
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Seeed Studio has added two members to its XIAO family of tiny MCU boards with the XIAO MG24 and XIAO MG24 Sense boards based on Silicon Labs EFR32MG24 multi-protocol wireless SoC and designed for battery-powered Matter over Thread and Bluetooth LE 5.3 applications. Both 21×17.8 mm USB-C boards feature a 78MHz Silabs MG24 Cortex-M33 microcontroller with 256kB SRAM and 1536KB flash, an additional 4MB SPI flash on-board, and 22 pins and pads for GPIO pins, analog inputs, and power signals, plus a reset button and two LEDs. The “Sense” model adds an analog microphone and a 6-axis IMU sensor. XIAO MG24/MG24 Sense specifications: SoC – Silicon Labs EFR32MG24 (EFR32MG24B220F1536IM48-B) MCU cores Arm Cortex-M33 @ 78.0 MHz with DSP instruction and floating-point unit for user application Arm Cortex-M0+ core for wireless Memory – 256 KB RAM Storage – 1536 KB flash Wireless protocols – Matter, OpenThread, Zigbee, Bluetooth Low Energy 5.3, [...]
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Choosing the right SoC for the next Seeed Studio XIAO is always challenging. It must represent cutting-edge technology, bringing innovation in communication networking, computing performance, or ecosystem compatibility. When Silicon Labs EFR32MG24 came into our view, we were immediately excited by its enormous potential to make the promising Matter® wireless communication protocol accessible to ALL – perfectly aligning with Seeed’s vision of Making Technology Accessible for ALL.
Matter connects IoT platforms and smart home devices across different brands, bridging the gap between different ecosystems like Amazon, Google, and Apple. This new industry-unifying standard provides reliable connections and simplifies development for makers. We are now thrilled to introduce the Seeed Studio XIAO MG24 and the Seeed Studio XIAO MG24 Sense, thumb-sized Matter®-native dev boards all powered by Silicon Labs EFR32MG24!
The Seeed Studio XIAO MG24 and XIAO MG24 Sense are two tiny Arduino-compatible development boards that uniquely combine Matter with the Seeed Studio XIAO ecosystem. The EFR32MG24 Wireless SoC features a 32-bit ARM Cortex-M33 core processor running at 78MHz with DSP instructions, 1536KB Flash memory, and 256KB RAM. Thanks to the Silicon Labs SoC inside, the XIAO MG24 and XIAO MG24 Sense support Matter® over Thread® and Bluetooth® Low Energy 5.3. In the future, there will be support for the other common 2.4 GHz protocols on the Arduino Core.
In the signature Seeed Studio XIAO form factor (21×17.8mm), both XIAO MG24 and XIAO MG24 Sense feature 4MB onboard Flash capacity, LED, and 19 GPIOs. The XIAO MG24 Sense additionally includes two onboard sensors: an analog microphone and a 6-axis Inertial Measurement Unit (IMU). These new XIAO boards excel in battery management, featuring an onboard charging circuit, internal IO for battery voltage measurement, and support for an increased charging current of 160mA. Their battery management system and ultra-low-power consumption design make them ideal for the rapid development and prototyping of Matter-based battery-powered IoT devices.
“Seeed Studio has consistently delivered innovative and cost-effective hardware solutions that empower developers around the globe. We are thrilled to collaborate with them on the XIAO MG24 boards, which integrate our EFR32MG24B220F1536IM48-B chip. This partnership not only broadens the reach of our technology but also aligns with our vision of fostering a vibrant developer community. We look forward to seeing the creative and impactful applications that will emerge from this collaboration,” says Rob Shane, Vice President, Mass Market Sales & Applications at Silicon Labs.
These aren’t our first Matter-compatible XIAOs. Earlier this year, we launched the XIAO ESP32C6, supporting multiple protocols including Zigbee, Wi-Fi 6, BLE 5, and Thread. For those wondering about the differences between these models, please refer to the comparison table below to find the perfect match for your Matter applications.
XIAO MG24 and XIAO MG24 Sense are now available for pre-order through our Bazaar webstore at $7.9 and $10.9 respectively, with shipping expected in late November 2024. To celebrate the launch, here is a limited-time offer: 10% off for the first 100 purchases. Shop NOW.
To help developers quickly adapt their projects to the XIAO MG24 (Sense), we’re launching our XIAO Early Adopter Program. If you’re an author or maintainer of a popular open-source Matter or IoT project on GitHub, or an influencer on YouTube, TikTok, or Instagram, ensure your users can run your code on the XIAO MG24. Join to receive two free early sample boards (shipping mid-November) and technical support for making your code compatible with this exciting new board.
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Imagine turning your everyday clothes into smart motion-tracking tools. That’s exactly what a team of researchers at Cornell University has achieved with SeamPose. This innovative project, led by Catherine Tianhong Yu and Professor Cheng Zhang uses conductive threads sewn over the seams of a shirt to transform it into an upper-body pose-tracking device by unleashing the power of XIAO nRF52840. Unlike traditional sensor-laden garments that change the clothing’s appearance and comfort, SeamPose blends seamlessly into everyday wear without compromising aesthetics or fit.
This project offers exciting potential applications in areas like health monitoring, sports analytics, AR/VR, and human-robot interaction by making wearable tracking more accessible and comfortable.
To build SeamPose, the following key hardware elements were used:
SeamPose operates by transforming ordinary seams in a long-sleeve shirt into capacitive sensors, enabling real-time tracking of upper-body movements. Conductive threads, specifically insulated silver-plated nylon, are machine-sewn along key seams—such as the shoulders and sleeves—without altering the garment’s appearance or comfort. As the wearer moves, the seams stretch and shift, causing variations in their capacitance. These signals are captured by a customized sensing board integrated with two FDC2214 capacitance-to-digital converters and the XIAO nRF52840 microcontroller. The XIAO nRF52840 transmits the data wirelessly via Bluetooth Low Energy (BLE) to a nearby computer for processing.
The transmitted signals are fed into a deep learning model that maps the seam data to 3D joint positions relative to the pelvis. This allows the system to interpret complex upper-body movements using only eight sensors distributed symmetrically along the shirt. During testing, SeamPose achieved a mean per joint position error (MPJPE) of 6.0 cm, comparable to more invasive tracking systems. The XIAO nRF52840 ensures seamless real-time data transmission, making SeamPose a breakthrough in wearable technology by combining comfort with precise motion tracking.
Source: Cornell University Team
SeamPose offers a glimpse into the future of smart clothing, where everyday garments become powerful tools for motion tracking without sacrificing comfort or design. However, challenges like real-world deployment considerations and smart-clothing manufacturing at scale need to be addressed for broader adoption. The research team plans to explore improved seam placement and enhanced sensor calibration for even more accurate tracking in the future.
If you’re excited about SeamPose and want to dive deeper, check out their paper on ACM Digital Library
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MIT Media Lab researchers Cathy Mengying Fang, Patrick Chwalek, Quincy Kuang, and Pattie Maes have developed WatchThis, a groundbreaking wearable device that enables natural language interactions with real-world objects through simple pointing gestures. Cathy conceived the idea for WatchThis during a one-day hackathon in Shenzhen, organized as part of MIT Media Lab’s “Research at Scale” initiative. Organized by Cedric Honnet and hosted by Southern University of Science and Technology and Seeed Studio, the hackathon provided the perfect setting to prototype this innovative device using components from the Seeed Studio XIAO ESP32S3 suite. By integrating Vision-Language Models (VLMs) with a compact wrist-worn device, WatchThis allows users to ask questions about their surroundings in real-time, making contextual queries as intuitive as pointing and asking.
Credit: Cathy Fang
The WatchThis project utilizes the following hardware components:
WatchThis is designed to seamlessly integrate natural, gesture-based interaction into daily life. The wearable device consists of a watch with a rotating, flip-up camera attached to the back of a display. When the user points at an object of interest, the camera captures the area, and the device processes contextual queries based on the user’s gesture.
The interaction begins when the user flips up the watch body to reveal the camera, which then captures the area where the finger points at. The watch’s display shows a live feed from the camera, allowing precise aiming. When the user touches the screen, the device captures the image and pauses the camera feed. The captured RGB image is then compressed into JPG format and converted to base64, after which an API request is made to query the image.
The device uses these API calls to interact with OpenAI’s GPT-4o model, which accepts both text and image inputs. This allows the user to ask questions such as “What is this?” or “Translate this,” and receive immediate responses. The text response is displayed on the screen, overlaid on the captured image. After the response is shown for 3 seconds, the screen returns to streaming the camera feed, ready for the next command.
The software driving WatchThis is written in Arduino-compatible C++ and runs directly on the device. It is optimized for quick and efficient performance, with an end-to-end response time of around 3 seconds. Instead of relying on voice recognition or text-to-speech—which can be error-prone and resource-intensive—the system uses direct text input for queries. Users can further personalize their interactions by modifying the default query prompt through an accompanying WebApp served on the device, allowing tailored actions such as identifying objects, translating text, or requesting instructions.
Imagine strolling through a city and pointing at a building to learn its history, or identifying an exotic plant in a botanical garden with a mere gesture.
The device goes beyond simple identification, offering practical applications like real-time translation of, for example, menu items, which is a game-changer for travelers and language learners alike.
The research team has discussed even more exciting potential applications:
While some of these features are still in conceptual stages, they paint a picture of a future where our interactions with the world around us are more intuitive, informative, and effortless than ever before.
Interested in building your own WatchThis wearable? Explore the open-source hardware and software components on GitHub and start creating today! Check out their paper below for full details.
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The post WatchThis: A Wearable Point-and-Ask Interface Powered by Vision-Language Models and XIAO ESP32S3 Sense appeared first on Latest Open Tech From Seeed.
Last year, we reviewed the MR60FDA1 60GHz mmWave fall detection sensor kit, which utilizes the XIAO ESP32C3 module as its core. This module, featuring both Wi-Fi and Bluetooth connectivity, opens up various IoT applications. Now, Seeed Studio has introduced advanced mmWave sensor modules specifically designed for enhanced fall detection and heartbeat monitoring. The MR60FDA2 is optimized for fall detection, while the MR60BHA2 is designed for heartbeat monitoring. Powered by an ESP32-C6 WiFi 6 and RIS-Bluetotoh LE microcontroller, these modules offer reliable detection for real-time fall monitoring and accurate heartbeat tracking. They also feature customizable RGB LEDs and ambient light sensors, providing additional flexibility. With expansion options via Grove GPIO ports, these versatile modules are well-suited for applications like smart home integration and healthcare monitoring. Previously, we covered the RoomSense IQ and the DesignCore RS-6843AOPU with mmWave technology. The RoomSense IQ is an ESP32-S3-based modular room monitor with mmWave radar presence [...]
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Waveshare has recently launched the Pico-DALI2 expansion module for ESP32-Pico series boards designed to enable DALI communication for customized control of multiple lighting groups. It is compatible with development boards such as the ESP32-C6-Pico and ESP32-S3-Pico and includes a DALI communication screw terminal for connecting external DALI devices. DALI (Digital Addressable Lighting Interface) is a standardized protocol used for lighting control in building automation systems. The latest version of the DALI2 protocol is better than the old one in that it offers enhanced interoperability, additional features like multi-master configurations, and better energy management capabilities. DALI2 devices can communicate bidirectionally, meaning controllers can send commands and also receive status feedback from lighting devices, allowing for more complex automation and diagnostics. We can get more information about DALI from Wikipedia. We have previously seen the uses of DALI in Texas Instruments MSPM0 Arm Cortex-M0+ microcontrollers as an interface and in Acme CM3-Home [...]
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Japanese company KAGA FEI has recently unveiled the incredibly small ES5L15BA1 Bluetooth LE 6.0 and 802.15.4 module based on Nordic Semi nRF54L15 ultra-low-power Cortex-M33 wireless MCU. We had previously covered the u-Blox NORA-B2 which I already found pretty small at 14.3 x 10.4 x 1.9mm, but the ES5L15BA1 module goes a step further measuring just 8.55 x 3.25 x 1.00 mm with an integrated antenna which could make it the world’s smallest Bluetooth LE module. KAGA FEI ES4L15BA1 specifications: SoC – Nordic Semiconductor nRF54L15 MCU cores Arm Cortex-M33 with Arm TrustZone @ 128MHz RISC-V coprocessor for software-defined peripheral Memory – 256KB SRAM Storage – 1.5MB non-volatile memory Wireless Bluetooth 6.0 Data rates – 2Mbps, 1Mbps, 500kbps, 125kbps Features AoA / AoD Channel Sounding 802.15.4 radio for Thread / Zigbee / Matter Nordic Proprietary 2.4 GHz protocol up to 4 Mbps Frequency – 2402 to 2480 MHz +8dBm output power Antenna [...]
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Synaptic has unveiled the SYN4383 and SYN43756(E) high-performance “Veros” SoCs with tri-band Wi-Fi 6E, Bluetooth 5.3/5.4, and an optional 802.15.4 radio. The SYN4383 is an upgrade to SYN4382 SoC that supports 1,200 Mbps 2×2 MIMO Wi-Fi 6E, Bluetooth 5.4, and 802.15.4 for Zigbee and Thread support. It supports real simultaneous dual-band (RSDB) operation and offers “greater system integration”. The SYN43756(E) is similar but lacks an 802.15.4 radio and RSDB support. SYN4383 “Triple Combo 3” Wi-Fi 6E, Bluetooth 5.4, 802.15.4 SoC Synaptics Veros SYN4383 key features: Tri-band 2×2 MIMO Wi-Fi 6E (802.11ax) up to 1200 Mbps throughput, RSDB with 2.4 GHz radio and either 5 or 6 GHz radio, and support for legacy 802.11a/b/g/n/ac WiFi Bluetooth 5.4 (Bluetooth 6.0 compatible) with LE Audio, Channel Sounding for accurate positioning 802.15.4 radio for Thread and Zigbee Application-layer support for Matter-compliant security and interoperability Smart Co-Ex for WiFi/Bluetooth coexistence in the 2.4 GHz band [...]
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LumenRadio has recently introduced a Wireless Modbus (W-Modbus) module built around Nordic Semiconductor’s nRF52840 SoC. The module can connect up to 100 nodes, integrates a power amplifier with 100mW transmission power, and supports Bluetooth LE for smartphone connectivity. These features simplify Modbus RTU installations by eliminating traditional control cables, making them ideal for building and industrial automation applications. The company mentions two variants available for this module the ‘W-Modbus OEM Module’ which supports one Modbus client, and the ‘W-Modbus PRO OEM Module’ supporting up to sixteen Modbus clients. Both modules support self-healing, self-organizing mesh protocols that address the issues of network reliability and scalability in industrial environments. The module can also be used for remote monitoring and troubleshooting via smartphones. LumenRadio’s Wireless Modbus module specification Module – LumenRadio W-Modbus module SoC – Nordic Semiconductor nRF52840 CPU – 32-bit Cortex-M4 core with FPU @ 64 MHz Connectivity Bluetooth 5.4 (BLE, Bluetooth mesh, [...]
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Rolling Square introduces its latest Bluetooth trackers – AirNotch Pro and AirCard Pro – designed for use with personal items like keys, wallets, bags, and more. Both trackers are designed for portability, and the AirNotch Pro is designed as a keyring, while the AirCard Pro suits wallets with a thinner, credit card-like design. The products integrate into Apple and Google’s tracking networks, with some features currently limited to Apple. Previously, we covered the SenseCAP T1000, a credit card-sized LoRaWAN GPS tracker powered by Semtech’s LR1110. Several years ago we covered some Bluetooth beacons such as the Puck.js or RuuviTag, but we have yet to explore Bluetooth-only trackers with wireless charging capabilities. Rolling Square AirCard Pro Bluetooth trackers AirCard Pro technical features: Network White version – Operates on Google’s Android Find My Device network (Android 6 or above) Black version – Operates on Apple Find My network (iOS 14 or above) [...]
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The NXP RW612 is an Arm Cortex-M33 SoC with three radios, namely WiFi 6, Bluetooth 5.4, and 802.15.4 for Thread and Matter connectivity. It also has a small sibling called the RW610 without the 802.15.4 radio. I first came across RW61x chips, when Debashis wrote about the Trimension SR250 UWB chip mentioning it can work with “host processors like NXP’s i.MX, RW61x, and MCX families”. I initially thought it was a typo for the iW612 tri-radio solution introduced in 2022, and the RW612 is indeed similar, but it’s a complete wireless microcontroller/SoC with an Arm Cortex-M33 application core so it can be used independently as a host instead of a companion chip. NXP RW612 and RW610 specifications: MCU sub-system Core – 260 MHz Arm Cortex-M33 with TrustZone-M Memory On-chip 1.2 MB SRAM PSRAM interface for memory expansion Storage – Quad FlexSPI Flash XIP with on-the-fly decryption Peripheral interfaces Up to [...]
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Waveshare has introduced the ESP32-C6-LCD-1.47 development board powered by an ESP32-C6 RISC-V microcontroller with WiFi 6 and Bluetooth 5 connectivity and equipped with a 1.47-inch display with a 172×320 resolution. With a 4MB flash, an RGB LED, and a microSD card slot for extra storage, this board is suitable for projects that need a compact display, low power consumption, and wireless connectivity such as AIoT applications and human-machine interfaces (HMI). Earlier this month, we covered the ESP32-S3 USB dongle, another development board from Waveshare designed for HMI applications with the same 1.47-inch display with a 172×320 resolution, but a USB Type-A port instead of the USB-C port found in the model covered today. In the past, we’ve written about other ESP32-based development boards for HMI applications, including the LILYGO T-HMI, ESP32-S3-Touch-LCD-4.3B, and Waveshare’s ESP32-S3 LCD Driver Board supporting both square and round displays. Feel free to check them out if [...]
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