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Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Arduino UNO Q 4GB board with 4GB RAM, 32GB storage is now available for $59

Arduino UNO Q 4GB board with 4GB RAM, 32GB storage is now available for $59

Arduino UNO-Q 4GB

When the Arduino UNO Q was first unveiled in October 2025, the specifications of the Qualcomm DragonWing SBC listed the ABX00162 SKU with 2GB RAM and 16GB eMMC flash, and the ABX00173 SKU with 4GB RAM and 32GB eMMC flash. So far, only the 2GB variant was available, and Arduino has now announced the availability of the Arduino UNO Q 4GB with 4GB of RAM and 32GB eMMC storage for more complex projects. Arduino UNO Q 4GB (ABX00173) specifications: Application SoC/MPU – Qualcomm QRB2210 CPU – Quad-core Cortex-A53 processor at up to 2.0 GHz GPU – Adreno 702 GPU at 845 MHz with support for OpenGL ES 3.1, Vulkan 1.1, OpenCL 2.0 DSP – Hexagon QDSP6 v66 VPU – 1080p 30 fps encode / 1080p 30fps decode ISP – 2x Image Signal Processor (13 MP + 13 MP or 25 MP) @ 30 fps Real-time MCU – STMicro STM32U585 Arm Cortex-M33 microcontroller […]

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 Debashis Das - No Comments on Cerelog ESP-EEG – A low-cost ESP32-based EEG acquisition board for brain computer interface (BCI) experiments

Cerelog ESP-EEG – A low-cost ESP32-based EEG acquisition board for brain computer interface (BCI) experiments

Cerelog ESP EEG ESP32 EEG acquisition board

The Cerelog ESP-EEG is an 8-channel, low-cost brain computer interface (BCI) circuit board built around the ESP32 MCU and designed for EEG data acquisition. The board supports 8-channel, 24-bit EEG data collection and connects to a host system over USB-C for both power and data. The board has an active noise-removal bias pin which reduces mains interference, along with onboard status LEDs, including a dedicated indicator for active data capture. It works with third-party or DIY EEG headsets using adapter boards, and STL files are provided for 3D printed mounts. Cerelog also offers various software tools and sample code to enable real-time EEG visualization, BCI experiments, neurofeedback, and custom brain-controlled applications. Cerelog ESP-EEG specifications: Wireless Module – ESP32-WROOM-32 SoC – ESP32 CPU – Dual-core processor @ 160 MHz Memory  – 520 KB SRAM Wireless WiFi 802.11 b/g/n, Bluetooth 4.2 Storage – 4 MB flash PCB antenna Analog Front-End (via TI’s […]

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 - No Comments on 52Pi UPS Gen 6 UPS for Raspberry Pi 4/5 supports up to 4x external battery packs, PikaPython scripting 

52Pi UPS Gen 6 UPS for Raspberry Pi 4/5 supports up to 4x external battery packs, PikaPython scripting 

Rapsberry Pi 5 UPS with four external battery packs

The 52Pi UPS Gen 6 is another UPS solution for the Raspberry Pi 5 that supports external battery packs for long-duration projects, and uses I²C plus PikaPython scripting to manage power settings and safe shutdowns. Designed for the Raspberry Pi 5 and 4B, the module mounts on the bottom of the board and delivers power via pogo pins. It also includes an aluminum heatsink with an automatic fan for cooling. It runs on two 18650 batteries, which can be mounted to the Pi with spacers, and there is an option to add three more battery packs in parallel if you need longer runtime. The board also features a physical power button for manual control, a 12V power interface for SATA hard drives, and switching hardware (bumpless power transfer) that instantly falls back to battery power so the system stays on during a power outage. 52Pi UPS Gen 6 specifications: Main […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)

Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)

Quarky Intellio rover car robot

Quarky Intellio is an ESP32-S3-based development kit designed as an educational platform for learning AI, Augmented Reality (AR), and IoT concepts. It is compatible with LEGO bricks and targets users aged 10 and older. The core AI-AR module features an SPI TFT display interface, a 5MP camera, a speaker and microphone, a microSD card slot for data storage, a USB-C port for programming and charging, servo and GPIO expansion ports, and a 1,000 mAh battery. The company offers a discovery kit with the core module only as well as a rover car kit, and since it’s compatible with LEGO, users can easily create their own robot. Quarky Intellio specifications: Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM (SiP) Storage – 384KB ROM Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE Storage – 16MB flash […]

Posted on by Debashis Das - No Comments on Amazing Hand – A 8-DOF 3D-printable open-source robotic hand for prototyping and research

Amazing Hand – A 8-DOF 3D-printable open-source robotic hand for prototyping and research

Amazing Hand Open Source Robotic Hand Developer Kit

Seeed Studio’s Amazing Hand is an open-source, 3D-printable robotic hand kit with eight degrees of freedom (8-DOF), designed for developers working on robotics control and hardware experimentation. It integrates all actuators directly in the hand itself, making it suitable for robotics projects, education, prototyping, and integration into systems like Reachy2 or custom robotic arms. The hand uses eight Feetech SCS0009 servos arranged in a parallel linkage, with all actuators housed in the palm to keep the unit compact and lightweight at around 400 grams. Each finger offers two-axis motion for flexion, extension, and limited abduction via differential servo control. Its structure is fully 3D-printable, combining rigid internal frames with flexible TPU shells for robotics prototyping, manipulation research, and custom hand design studies. Amazing Hand specifications Supported Controllers – Raspberry Pi, NVIDIA Jetson, and microcontrollers (MCUs) Degrees of Freedom – 8 Servo 8x Feetech SCS0009 bus servos (2 servos per finger […]

Posted on by Debashis Das - No Comments on BenchVolt PD – An USB-C PD lab power supply with five channels and arbitrary waveform generator (Crowdfunding)

BenchVolt PD – An USB-C PD lab power supply with five channels and arbitrary waveform generator (Crowdfunding)

BenchVolt PD A five channel, 100 W, open source, USB PD power supply

BenchVolt PD is a five-channel, open-source USB-C PD lab power supply that turns any USB Type-C charger/power bank into a compact, portable bench PSU. Designed for makers, engineers, and field technicians, it delivers up to 100 W with fixed, adjustable, and waveform-capable outputs, making it an alternative to bulky lab units. It integrates three low-noise fixed rails (1.8 V, 2.5 V, 3.3 V), two adjustable outputs (0.5–5 V and 2.5–32 V), and supports up to 3A per channel with current limiting. An STM32 MCU handles sequencing, real-time safety checks, and monitoring. The device also features a 1.9-inch display and a rotary encoder for monitoring and control. It also includes protections for overcurrent, temperature, and power budgeting. BenchVolt PD specifications: MCU – STMicroelectronics STM32F030F4 32-bit Cortex-M0 @ 48 MHz with up to 256KB of flash Display – 1.9-Inch TFT display (320 x 170) showing voltage, current, thermal, and PD status Power […]

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