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Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on NASA Artemis Watch 2.0 – An ESP32-S3-powered, NASA-inspired wearable kit for education

NASA Artemis Watch 2.0 – An ESP32-S3-powered, NASA-inspired wearable kit for education

NASA Artemis Watch 2.0

CircuitMess NASA Artemis Watch 2.0 is a programmable, NASA-themed smartwatch based on an ESP32-S3 WiFi and Bluetooth module and a 1.14-inch monochrome display. The watch also features an accelerometer, a gyroscope, a buzzer, an RTC, a button, several LEDs, and a USB port for programming and charging the built-in 600 mAh battery. NASA Artemis Watch 2.0 specifications: Core module – ESP32-S3-MINI-1-N4R2 SoC – ESP32-S3 dual-core Xtensa LX7 processor with WiFi 4 and Bluetooth 5.0 connectivity Memory – 2MB PSRAM Storage – 4MB QSPI flash PCB antenna Display – Built-in 1.44-inch display USB – 1x USB Type-C port for charging and programming Sensors 6-axis LSM6DS3TR accelerometer and gyroscope Temperature sensor (TBC) Misc Lever button 6x user LEDs, 1x power LED, 1x RGB LED Buzzer RTC  + backup battery Power Supply 5V via USB-C port 600 mAh LiPo battery, good for 2 to 3 hours on a charge Dimensions and Weight – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Velxio is an open-source, self-hosted Arduino, Raspberry Pi, and ESP32 simulator

Velxio is an open-source, self-hosted Arduino, Raspberry Pi, and ESP32 simulator

Velxio multi board simulator

Velxio is an open-source, self-hosted simulator for Arduino, ESP32, and Raspberry Pi boards that works directly in your web browser. You can drag-and-drop boards, connect components and modules, write and run code in Arduino or Python, and access the serial console, all without hardware. If it looks similar to what the Wokwi simulator has to offer, it’s because Velxio was inspired by it and even integrates the AVR8 CPU emulator, RP2040 emulator, and QEMU fork for ESP32 Xtensa emulation from the Wokwi project. But the key difference is that Velxio can be self-hosted, although there’s also an online demo. Velxio currently supports 19 targets across five architectures AVR8 (ATmega / ATtiny) Arm Cortex-M0+ (Raspberry Pi RP2040) RISC-V RV32IMC/EC (ESP32-C3 / CH32V003) Xtensa LX6/LX7 (ESP32 / ESP32-S3 via QEMU) Arm Cortex-A53 (Raspberry Pi 3 Linux via QEMU) The project also offers 48 components. The developer mentions that additional features compared to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Hugging Face’s Reachy Mini is an open-source AI robot for your computer or Raspberry Pi CM4

Hugging Face’s Reachy Mini is an open-source AI robot for your computer or Raspberry Pi CM4

Reachy Mini

Better known for its artificial intelligence software solutions, Hugging Face unveiled the Reachy Mini open-source desktop robot last year. It is designed to deploy AI applications that interface with the physical world. The robot features a camera, four microphones, and a speaker, and can move its 6 DoF (degrees of freedom) head, rotate its body, or wave its antennas thanks to nine servo motors. Two versions are available: the Reachy Mini Lite designed for computers running Mac, Linux, and Windows, and the Reachy Mini Wireless autonomous robot, powered by a Raspberry Pi CM4, adding WiFi and Bluetooth connectivity, an accelerometer, and battery support. Both models share most of the same specifications: Reachy Mini’s SDK can be found on GitHub. It’s based on Python, but also supports JavaScript and Web apps, and can integrate with LLMs to easily build apps and publish them to Hugging Face. The SDK also features several […]

Posted on by Debashis Das - 1 Comment on Arduino Matter Discovery Bundle educational kit combines Arduino Nano Matter with three Modulino modules

Arduino Matter Discovery Bundle educational kit combines Arduino Nano Matter with three Modulino modules

Arduino Matter Discovery Bundle

Arduino has just announced the Arduino Matter Discovery Bundle (AKX00081), an all-in-one development kit designed to help users learn, prototype, and build Matter-over-Thread smart home devices quickly. The kit is based on the Arduino Nano Matter development board and works with the Matter ecosystem, including compatible platforms such as Apple HomeKit, Google Home, Amazon Alexa, and Home Assistant. The bundle also includes a Nano Connector Carrier with Grove and Qwiic interfaces, a microSD slot, and various IO options. The kit features three Qwiic-based Modulino nodes, namely a Latch Relay, a Distance module for presence detection, and a Thermo module for temperature and humidity sensing. Arduino Matter Discovery Bundle specifications: Main board – Arduino Nano Matter MCU – SiLabs MGM240SD22VNA MCU core – 32-bit Arm Cortex-M33 with DSP (digital signal processing) instruction and FPU (floating-point unit) @ 78 MHz Storage/Memory – 1536 KB flash program memory, 256 KB RAM data memory […]

Posted on by Debashis Das - 2 Comments on Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Jetson Orin Nano AI learning kit

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

CrowPi 3 AI Learning platform

Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico single board computers and development boards. It follows the CrowPi portable learning kit (Raspberry Pi 3B+/Zero), CrowPi 2 Raspberry Pi 4 electronics learning laptop, and CrowPi L laptop (Raspberry Pi 4 models), but the CrowPi 3 is the first to focus on Artificial Intelligence (AI) learning with a Raspberry Pi 5 and support for LLMs like DeepSeek, Google Gemini, and OpenAI chat besides courses about electronics and computer vision. CrowPi 3 specifications: Compatible boards Raspberry Pi 5 (required) – Broadcom BCM2712 quad-core Arm Cortex-A76, up to 2.4GHz, 4GB or 8GB RAM. OS: Raspberry Pi OS (Debian Linux) or others Optional via headers or slots Arduino Nano Raspberry Pi Pico 1/1 W/2/2 W  BBC micro:bit Display – […]

Posted on by Debashis Das - 4 Comments on ESP32-S3 AIoT Basic – A learning and prototyping kit with camera, audio, LCD, and sensors

ESP32-S3 AIoT Basic – A learning and prototyping kit with camera, audio, LCD, and sensors

ESP32 S3 AIoT Basic for beginners, classrooms, rapid prototy

The ESP32-S3 AIoT Basic is a low-cost, learning, and prototyping kit for the ESP32-S3. The board integrates common AIoT peripherals directly onto a single PCB, making the design part easy for beginners, classrooms, and rapid prototyping. Built around an ESP32-S3 board, the development platform integrates nine commonly used modules directly on the PCB, including a button, buzzer, LED indicator, light sensor, LCD, digital microphone, SD card slot, audio amplifier, and a camera. Most AI and IoT demos can be run without breadboards or jumper wires, while expansion is supported through standard pin headers and Grove connectors. The board supports 5V power via USB-C, and 6–12 V power input via Vin for driving additional devices. With various tutorials and sample projects, it is suitable for AIoT learning, STEM education, voice and vision demos, sensor-based projects, and quick proof-of-concept development. ESP32-S3 AIoT Basic Specifications: Main board – ESP32-S3 Core Board SoC – […]

Posted on by Debashis Das - 4 Comments on ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons

ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons

Elecrow ESP32 P4 learning and prototyping Kit

Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, self-contained kit designed for students, educational institutions, and developers for rapid prototyping. The open hardware kit integrates a 7-inch touchscreen display, a 2MP camera, and sixteen built-in electronic modules, supported by over 20 structured lessons that progressively cover I/Os, audio, LVGL GUI development, and basic AI use cases. Development is done in C using Espressif’s ESP-IDF framework, ready-to-build examples, and modular BSP drivers, making the kit suitable for learning embedded systems, IoT device control, human-machine interfaces, smart home concepts, and entry-level Edge AI applications. All-in-one Starter Kit for ESP32-P4 kit specifications: Wireless MCU – 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 […]