AAElectronics’ LocalDot is an open-source replacement mainboard that converts a 3rd-generation Amazon Echo Dot into a local voice assistant compatible with Home Assistant. The board replaces one of the two original PCBs while reusing the existing microphones, speaker, buttons, LEDs, and enclosure, so the device works without relying on Amazon’s cloud services. The board combines an ESP32-S3 for WiFi connectivity and device control with an ESP32-P4 for audio processing. It supports the original four-microphone array with beamforming, on-device wake-word detection, and local voice commands through Home Assistant. Installation requires no soldering or enclosure modifications, and the device still uses the original Echo Dot power adapter. LocalDot specifications: Compatibility – 3rd-generation Amazon Echo Dot (Donut and Crumpet variants; Clock version not tested) SoC ESP32-S3 – Wi-Fi connectivity and device control ESP32-P4 – Dedicated audio processing Audio TAS5805 audio amplifier for the original speaker On-device wake-word detection Beamforming support Reuses the original […]

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Read more here: https://www.cnx-software.com/2026/11/11/localdot-an-open-source-replacement-pcb-for-3rd-gen-echo-dot-with-home-assistant-support/

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The Nano is one of the most recognizable Arduino boards in the world. Compact, accessible, and endlessly versatile, it has powered millions of projects across a variety of domains. Today, at electronica 2026 (Munich, November 10–13, 2026), we’ve announced what comes next for the ecosystem – and it’s designed to take everything the Nano does well into a new territory: industrial, home, and building automation.

Meet the Nano XL Link board and the Nano XL Link Connector Carrier.

A Nano designed for automation

Nano XL Link keeps what you love about the original form factor – compact dimensions, familiar pinout, and full Arduino^® ecosystem compatibility – while adding three on-board fieldbus transceivers: CAN FD, RS485, and 10/100 Ethernet. With no external interface hardware required, you can connect directly to industrial networks, motor drives, building automation buses, smart sensors, and touch panels from a board that fits in the palm of your hand.

Under the hood, Nano XL Link is powered by a Microchip PIC32CK2051SG01144 – a 32-bit ARM Cortex-M33 running at 120 MHz, with 2 MB of Flash and 512 kB of RAM. This is a microcontroller designed to deliver the deterministic real-time performance and reliability required for both demanding factory floors and complex building management systems. Plus, the extended double-row header expands the standard Nano pinout significantly, giving you the expanded I/O availability that complex automation applications may require.

That’s how Nano XL Link helps bridge the gap between the Arduino community’s fast prototyping culture and the demands of professional deployment. Real-time machine controllers, fieldbus gateways, smart lighting and HVAC zone managers, automated energy management nodes, and more! Nano XL Link is designed to give you the connectivity to do it all, on a platform you already know how to use.

From bench to cabinet

Every board needs a home in production. Nano XL Link Connector Carrier gives Nano XL Link exactly that: a DIN-rail-mountable form factor compatible with standard 4U industrial enclosures, with screw terminal connectors exposing the CAN FD and RS485 interfaces and a standard RJ45 port for Ethernet. Plug in your Nano XL Link, wire up your field devices, and start moving your prototype towards deployment. 

And Nano XL Link Connector Carrier is more than just a mounting solution. It’s also a reference design for teams who want to develop custom carrier boards for specific applications. The layout and interface choices are intended to address common industrial integration considerations, providing a starting point that can be adapted without starting from scratch.

Together, Nano XL Link and Nano XL Link Connector Carrier form an integrated industrial development and deployment platform, from the first line of Arduino code to a board installed in a control cabinet, with the potential to reduce hardware redesigns or platform changes along the way.

The beginning of something bigger

These two boards are the first step in a new ecosystem for Arduino. The Nano XL family is designed to grow, bringing the openness, accessibility, and developer experience of the Arduino platform to domains that have traditionally required expensive, proprietary hardware and specialized expertise.

If you’re at electronica 2026, come to the Qualcomm booth (Hall C5 #439) to find out more directly from our team. Make sure to sign up to be the first to know when Nano XL Link and Nano XL Link Connector Carrier are available.

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries.
Arduino, Nano, and the Arduino logo are trademarks or registered trademarks of Arduino S.r.l.

The post Just announced at electronica: the Arduino® Nano™ family is now XL! appeared first on Arduino Blog.

Read more here: https://blog.arduino.cc/2026/11/10/just-announced-at-electronica-the-arduino-nano-family-is-now-xl/

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Andrii Shylenko’s LabWired is an MIT-licensed MCU firmware simulation core that runs compiled firmware against modeled CPUs and peripherals, captures UART and bus output, register state, and supports repeatable checks in CI. The simulator works on Arm Cortex-M0+, Cortex-M3, Cortex-M4, Cortex-M7, Cortex-M33 cores, RISC-V architecutre, and Xtensa LX6 and LX7 (some ESP32 parts). The main benefit of the project is speeding up firmware testing since doing some on real boards is slow. The hardware must be ready, then the firmware must be flashed to the board each time you want to test it, and if something breaks, developers get a dark LED and no trace. If a firmware project needs to support multiple boards, this quickly adds up. The project is different from a CPU/MCU emulator for two main reasons: The full board is modeled, not only the chip. Sensors, displays, and bus devices are also simulated. So you can […]

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Read more here: https://www.cnx-software.com/2026/11/10/labwired-allows-engineers-to-test-compiled-firmware-on-simulated-mcu-boards-cpu-and-peripherals/

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As part of the Arduino UNO Q Dream Lab Challenge hosted in partnership with DigiKey, makers and innovators were challenged to push the boundaries of what is possible with the dual-brain Arduino^® UNO Q board and Arduino App Lab. From an incredible pool of creative submissions showcasing the board’s unique dual-brain architecture, this entry emerged as one of the top winning designs.

You likely have a local weather service that will provide you with free information about the environmental conditions in great detail. But how well can you make sense of that data? Is a value of 54 for PM2.5 good or bad? Most people only care if the values are bad enough that they should be concerned, which is why Next Builder designed Atmosis to automatically determine if that is the case.

On the hardware side, Atmosis isn’t that much different than a conventional DIY environmental data monitor. It has an UNO Q, an Adafruit DPS310 sensor (barometric pressure and altitude), a Waveshare X6 sensor (various gases, temperature, humidity), a Waveshare dust sensor, and an LED strip that acts as an indicator. All of that hardware fits inside of a compact and rather fetching 3D-printed enclosure.

But while most environmental sensor devices like this simply tell you the sensor readings, Atmosis is built to use onboard edge AI, deployed through Edge Impulse, to automatically analyze the data. It looks at all the sensor readings and lets the user know when it identifies data that may need attention.

In most cases, that is all the user needs. But sometimes, a user might want to explore the data with more nuance or receive a more detailed evaluation. That’s why Next Builder gave Atmosis the ability to also work through Google’s Gemini LLM. That can dig into the sensor readings, look up references, and provide information in response to users’ questions.

Whether or not Gemini gets involved, the user can view the information through a web interface. They can also choose to receive updates from a Telegram bot.

Most areas will have more comprehensive data available from local weather stations than Atmosis can provide. However, your exact location may be unique, either as a result of differing micro climates or because of localized conditions, such as dust at a worksite. In those cases, Atmosis aims to provide valuable information that is easy to digest.

Arduino, UNO, and the Arduino logo are trademarks or registered trademarks of Arduino S.r.l.

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Read more here: https://blog.arduino.cc/2026/11/10/atmosis-provides-a-digestible-report-rather-than-raw-environmental-data/

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DomeCtrl’s ControlBox is a Raspberry Pi 5-based controller running Home Assistant and primarily designed for hydronic radiant floor heating (RFH) systems. It also supports lighting solutions and integration with energy devices such as solar collectors, photovoltaic installations, heat pumps, hydraulic pumps & valves. The system controls thermal valves, hydraulic PWM pumps, and related RFH devices, and can read multiple 1-wire temperature sensors over long cables (>6 m).  The ControlBox also features 32 LED-strip output channels, for up to 2 kW output. ControlBox specifications: Main board – Raspberry Pi 5 SBC with 4GB RAM Storage – 128GB NVMe SSD pre-loaded with Home Assistant Wired Communication Gigabit Ethernet on SBC Half-duplex RS485 communication bus (5 V) Wireless WiFi 5 and Bluetooth 5 on SBC W32-ESP01 header for control via ESPHome 433 MHz transmitter & receiver modules for communication with wireless peripherals like ‘ClickOnClickOff’, curtain rails, screens, garage doors, etc. I/Os via terminal […]

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Read more here: https://www.cnx-software.com/2026/11/10/controlbox-home-assistant-solution-is-designed-for-floor-heating-systems-house-lighting-1-wire-sensors/

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Arduino has always had a special relationship with musicians. Makers in the community have been wiring up theremins and building MIDI controllers from scratch for decades, driven by the simple idea that if you want to play an instrument, you should be able to build it. It worked for Brian May, right?

When we launched the Arduino^® UNO R4 board, we noticed the experiments were evolving in step with the technology. Gustavo Silveira, a composer and self-described “nerd musician”, had already built his iconic XT Synth – a hybrid guitar-violin-MIDI controller – by learning everything he knew from the community and giving it straight back. Tigris Li used UNO R4 to build a custom DJ controller. And Clatters Machines, the Italian duo devoted to making “noisy machines for music lovers”, prototyped their very first product on an UNO and never really looked back.

And these aren’t outliers. Browse the Arduino Project Hub and you’ll find a variety of instruments, effects units, sequencers, and sound controllers powered by Arduino, made by people who just wanted to hear something that didn’t exist yet. And then, of course, there are synths. So many synths.

Which got us thinking two things. First, UNO Q brings huge new potential to musicians and artists – and we can’t wait to see what they’ll create. Second, what if we made it easier and faster to put together a working synth, so no creative juices were wasted figuring out which components to buy or how to wire sensors together? That’s how the UNO Q DIY synth bundle came to be.

Black Friday deal: the UNO Q DIY synth bundle is now 35% off on the Arduino Store, until November 30, 2026. If you’ve been waiting for the right moment to build your first instrument – or you’re looking for a gift for the music-maker in your life – this is it. 

The bundle: everything you need to start, nothing to hold you back

The bundle packages a UNO Q 4GB board with four Arduino^® Modulino nodes – Buttons, Movement, Knob, and Distance – plus Qwiic cables and a complete step-by-step guide available on Arduino Project Hub. You get a polyphonic synthesizer, a drum machine, gestural control, proximity-based sound shaping, and full Pure Data integration: all in one purchase, with no components to track down separately.

The Arduino Project Hub tutorial walks you through the whole build: how the Modulino nodes connect to the STM32 microcontroller side on UNO Q, how sensor data crosses the Bridge to the Linux side, and how Pure Data runs on UNO Q, and maps the synthesis parameters in real time. Tilting the Movement node changes pitch. Knob adjusts parameters. Buttons give you a drum pad. The Distance sensor adds proximity control over filter behavior. The tutorial also links to 3D-printable enclosure files on Printables, if you want to give the whole thing a proper physical form factor.

You need exactly zero coding experience to tackle all of this. The software comes pre-configured, and the assembly is straightforward thanks to mistake-proof Qwiic connectors and daisy-chaining. You’ll learn loads along the way, just like the first time you pick up a guitar. Technology with Arduino is a lot more about figuring things out through practice, rather than studying and preparing to get things right on the first try.

Where to take it next

And just like learning a new instrument, the fun part comes after mastering the basics. Once you’ve followed the tutorial and you have a working synth in front of you – tilt it, twist the knob, wave your hand near the distance sensor, feel how it responds – the question becomes: what do you actually want it to do?

Here are a few directions worth exploring:

VJ control. The same sensor data you’re already streaming to Pure Data can be routed to visual software like Processing, TouchDesigner, or VVVV. Tie your tilt angle to a visual parameter, your drum hits to a strobe effect, your proximity sensor to a color shift. Your synth becomes a performance instrument that controls both sound and image simultaneously.

RFID scene switching. Add an RFID reader to the setup and program different NFC tags to load different Pure Data patches or parameter presets. Tap a tag, change your entire sound setup instantly. It’s a physical, tactile way to switch between scenes in a live performance without touching a laptop.

Generative sequencing. The Linux side on UNO Q can run Python scripts alongside the Pure Data workflow. Feed sensor readings into a simple generative algorithm that creates evolving melodic patterns based on your movement or environment – a synth that reacts to the room, not just your hands.

Expand the sensor palette. The Modulino system is designed for daisy-chaining. Add a Modulino Thermo and map temperature to reverb depth. Add a Modulino Pixels LED strip as a visual feedback layer. Every node you add is a new dimension of control.

The UNO Q DIY synth bundle gets you set up. The Modulino ecosystem and the UNO Q dual-architecture give you the building blocks to go well beyond it. Anything you create with these tools, well, is music to our ears!

Ready to start? Get the UNO Q DIY synth bundle on the Arduino Store. 

Already sold out? Try Amazon for additional stock – just make sure to choose original Arduino. 

Follow the Project Hub tutorial, then create your own project and share with the community!

Arduino, Modulino, UNO, and the Arduino logo are trademarks or registered trademarks of Arduino S.r.l.

The post Learn to make your own music – with the Arduino® UNO™ Q board appeared first on Arduino Blog.

Read more here: https://blog.arduino.cc/2026/11/09/learn-to-make-your-own-music-with-the-arduino-uno-q-board/

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According to a 2025 report from the WHO and UNICEF, approximately an entire quarter of the world’s population currently lacks consistent access to safely managed drinking water. The report also states that many people without safely managed drinking water had access to basic drinking water services. Thomas Vikström developed WaterLens as a tool intended to help users assess certain water quality indicators.

WaterLens is a compact device designed to give communities an affordable ability to monitor their local water sources. It is not a substitute for comprehensive laboratory testing and should not be used by itself to determine whether water is safe to drink. The device is designed to provide supplemental information when laboratory testing is not readily available. Its creator also designed it to be constructed and operated without advanced technical skills.

A WaterLens device can be assembled using off-the-shelf components that connect without soldering. Those components include an Arduino^® UNO Q board, a Seeed Studio Grove Base Shield, a Grove OLED screen, a Grove dual-button module, and a host of Grove sensors. Those sensors are designed to measure pH, turbidity, total dissolved solids (TDS), and oxidation-reduction potential (ORP).

Displaying measurements from each sensor may be useful, but interpreting those measurements may require relevant water quality expertise. WaterLens runs a local model, trained and deployed with Edge Impulse, that is designed to identify potential anomalies in the sensor data.

WaterLens may help identify sensor readings that warrant further investigation. A sample with no detected anomalies should not be assumed to be safe to drink, and a detected anomaly does not by itself establish that the water is unsafe. WaterLens cannot and should not replace validated water quality testing. Where laboratory testing is not readily available, the device may provide supplemental information that can help users decide whether further evaluation is appropriate. 

Arduino and UNO are trademarks or registered trademarks of Arduino S.r.l.

The post WaterLens uses AI on the edge to detect water quality issues appeared first on Arduino Blog.

Read more here: https://blog.arduino.cc/2026/11/09/waterlens-uses-ai-on-the-edge-to-detect-water-quality-issues/

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Read more here: https://labs.ripe.net/author/ritesh-mukherjee/your-router-trusts-its-validator-but-whos-watching-the-validator/

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SparkFun introduced two new development boards called IoT RedBoard, both based on the ESP32-P4 v3.x (ESP32-P4X) and compatible with the Arduino UNO R3 form factor. The main difference is that one features an ESP32-C5 for Wi-Fi 6, Bluetooth 5 LE, Zigbee, and Thread connectivity, while the PoE version includes 10/100 Mbps Ethernet and Power over Ethernet (PoE) support. They also include MIPI CSI/DSI camera and display connectors, two USB-C ports, a microSD card slot, Qwiic expansion, Arduino R3-compatible headers, and LiPo battery charging and monitoring. These features make it suitable for HMI, edge computing, and IoT applications. SparkFun IoT RedBoard ESP32-P4 specifications: SoC – Espressif Systems ESP32-P4NRW32X v3.x CPU Dual-core 32-bit RISC-V HP (High-performance) processor @ up to 400 MHz with AI instruction extensions and single-precision FPU Single-core 32-bit RISC-V LP (Low-power) processor @ up to 40 MHz Memory – 768 KB HP L2MEM, 32 KB LP SRAM, 8 KB […]

The post SparkFun IoT RedBoard ESP32-P4 – Arduino UNO-like ESP32-P4 v3.x development boards with WiFi 6 or PoE options appeared first on CNX Software – Embedded Systems News.

Read more here: https://www.cnx-software.com/2026/11/09/sparkfun-iot-redboard-esp32-p4-arduino-uno-like-esp32-p4-v3-x-development-boards-with-wifi-6-or-poe-options/

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Read more here: https://blog.apnic.net/2026/11/09/the-dos-and-donts-of-post-quantum-dnssec/

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