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Large-scale LoRaWAN deployments become easier through QR codes and relays
LoRaWAN devices typically require users to enter parameters such as the DevEUI, JoinEUI (formerly AppEUI), AppKey, and potentially the DevAddr plus the session keys, depending on the activation mode (ABP vs OTAA). This is manageable for a handful of devices, but becomes time-consuming, error-prone, and costly at scale. To make the onboarding process easier and scale LoRaWAN networks more effectively, the LoRa Alliance has now introduced three new documents: the TS014 and TS018 specifications and the TR016 technical recommendations. They should all help users get a device onto a network quickly, securely, and with minimal manual work, such as scanning...
ZecTrix Note 4 – A 4.2-inch ESP32-S3 wireless e-paper display for voice tasks
Designed by ZecTrix Lab in China, the Note 4 is an ESP32-S3-based AI smart note with a 4.2-inch e-paper display and built-in voice input. The device is designed to display reminders, notes, clocks, weather, images, and custom templates, while the Note 4C variant replaces the monochrome display with a four-color e-paper panel. The device features 2.4GHz Wi-Fi and Bluetooth 5.0 connectivity, a microphone, a speaker, NFC, physical buttons, a USB Type-C port, a 2,000mAh rechargeable battery, and GPIO expansion for custom hardware projects. ZecTrix Note 4 / Note 4C specifications: SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up...
CtrlVibe AI Console keypad – An OpenAI Codex Micro alternative for AI workflows (Crowdfunding)
The CtrlVibe AI Console is a programmable desktop keypad designed for AI workflows. The device includes hardware controls for switching between AI tools, launching shortcuts, selecting execution modes, and recording voice input. It comes with nine programmable mechanical keys, a rotary encoder, a three-position switch, a 1.14-inch LCD, a built-in MEMS microphone, USB-C and Bluetooth connectivity, and RGB status lighting. The features and specifications of the CtrlVibe make it an alternative to Work Louder Codex Micro, a $230 mechanical macropad designed for OpenAI Codex. There is also an open-source firmware project available for the M5Stack Core2 that reproduces many of...
reComputer Mini J501 Edge AI computer features NVIDIA Jetson AGX Orin 64GB/32GB module, two FAKRA camera connectors
Designed for robotics applications, the reComputer Mini J501 is an Edge AI computer powered by an NVIDIA Jetson AGX Orin 64GB or 32GB module, delivering up ot 275 TOPS of AI performance. The computer features 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, a 128 M.2 NVMe SSD, two FAKRA connectors for up to eight GMSL2 cameras, and a range of other I/O connectors. reComputer Mini J501 specifications: System-on-module (one or the other) NVIDIA Jetson AGX Orin 32GB (reComputer Mini J5011 model) CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @...
Espressif ESP32-C61-MINI-1/1U Wi-Fi 6 and BLE IoT module launched for about $2
Back in 2024, Espressif Systems introduced the ESP32-C61 2.4 GHz WiFi 6 and Bluetooth LE (BLE) SoC as a low-cost variant of the ESP32-C6 without an 802.15.4 radio, a single RISC-V core, and lower-capacity SRAM (320KB vs 512KB). We had first seen the ESP32-C61 in the Wireless Tag ESP32P4C61 board introduced last June in a Kickstarter campaign last June, but Espressif has now started to sell samples of the ESP32-C61-MINI-1 and ESP32-C61-MINI-1U on AliExpress for $10.7 for a pack of 5 pieces, or around $2 per module. ESP32-C61-MINI-1/1U Module specifications: SoC – ESP32-C61 CPU core – Single-core 32-bit RISC-V microprocessor...
BG2B is the lowest-power Bluetooth LE SoC from Silicon Labs so far
Silicon Labs BG2B is an ultra-low-power Arm Cortex-M33 Bluetooth 6 LE SoC with support for Channel Sounding, “Secure Vault High” security, and integrated CAN-FD and peripherals such as LED drivers and ADCs for smaller, longer-lasting IoT devices. The company claims it’s the lowest-power Bluetooth LE device in its portfolio, with 1.1 µA EM2 sleep current with RAM retention, as well as 14%-15% lower MCU active current and lower Bluetooth receive current compared to Silicon Labs BG22/BG22L. The new microcontroller targets secure ranging, asset tracking, electronic shelf labels (ESLs), smart home, industrial monitoring, and vehicle diagnostics. Silicon Labs BG2B specifications: CPU...
Banana Pi BPI-AI2N Goes on Sale with Yocto and Armbian Images
Banana Pi has announced public availability of its BPI-AI2N embedded vision platform, following the hardware introduction covered last year. The platform combines a system-on-module based on the Renesas RZ/V2N Vision AI MPU with a separate carrier board designed for smart cameras, industrial vision, robotics, and other edge AI applications. As previously covered in June 2025, […]
ChronoWatch X2040 – A DIY watch with off-the-shelf Raspberry Pi RP2040 round display, 3D printed case, and custom firmware
If you’ve ever wanted to build your own watch, the ChronoWatch X2040 DIY watch allows you to do it the easy way with a Waveshare RP2040-Touch-LCD-1.28 touch LCD board, a 3D-printed case, a 3.7V LiPo battery, a few screws, and firmware using the Pico C/C++ SDK. When Vishal Soni decided he wanted to build a watch, he initially planned to design a custom board, but since there are already several round LCD boards based on Raspberry Pi RP2040 MCU, he went with a Waveshare board, preferring to spend more time on firmware programming. ChronoWatch X2040 parts: Waveshare RP2040-Touch-LCD-1.28 with Raspberry...
28.9M-parameter LLM runs locally on ESP32-S3 at 9 tokens/s
Slava S. (slvDev) has optimized a 28.9M-parameter LLM running locally on an ESP32-S3 development board at around 9 tokens/s while generating text, or more exactly, telling short stories. We’ve written about LLMs and ESP32 in the past, but usually the boards are used as low-power gateways to interact with online LLMs hosted on powerful servers in data centers. Such products or projects include HiWonderLLM “smart chat module”, the ESP-Claw framework, or the ESP32 Agent Dev Kit. Slava’s “esp32-ai” project is quite different, as everything runs on the ESP32-S3 microcontroller. This won’t work on all ESP32-S3 as you’ll need enough memory...
$299.99 ASUS UGen300 USB AI accelerator combines 40 TOPS Hailo-10H chip with 8GB LPDDR4
ASUS UGen300 USB AI accelerator features a 40 TOPS Hailo-10H AI processor and 8GB of LPDDR4 memory to support large language models (LLMs), vision language models (VLMs), and AI vision workloads while consuming less than 2.5 Watts. In some ways, the hardware is similar to the Raspberry Pi AI HAT+ 2, but in a slim dongle form factor (105 x 50 x 18mm) and a 10 Gbps USB 3.2 Gen1 USB-C Type-C port instead of a 5 or 8 GT/s PCIe interface. ASUS UGen300 USB AI accelerator (UGen300-USB-8G) specifications: AI accelerator – Hailo Hailo-10H delivering up to 40 TOPS (INT4)...