CNX Software

1 day ago | cnx-software.com | Jean-Luc Aufranc

We’ve seen x86 mini PCs for under $100 a few times, but I don’t think ever seen one going for under $50, and that’s exactly what the Wo-we HU-MNPC05-L mini PC has to offer as the system is sold for $44.99 on Amazon with an old Intel Celeron N4020 dual-core Gemini Lake Refresh processor first introduced in 2019. What’s even more surprising is that it’s not a barebone model like cheaper mini PCs usually are, but it ships with 4GB of RAM and a 128GB eMMC flash.

1 day ago | cnx-software.com | Jean-Luc Aufranc

CrowPi 3 is a Raspberry Pi 5-powered all-in-one portable AI learning and development platform with a 4.3-inch touchscreen display, plenty of plug-and-play electronic modules, a breadboard area, and support for Arduino Nano, Raspberry Pi Pico, and BBC Micro:bit MCU boards for expansion. It’s basically another take on the CrowPi 2 laptop based on the Raspberry Pi 4 with similar modules placed under the keyboard, but in a different form factor.

2 days ago | cnx-software.com | Jean-Luc Aufranc

Another day, another ESP32-P4 RISC-V MCU board with the ESP32-P4-MINI equipped with an ESP32-C6 wireless module and exposing all I/Os through two 34-pin GPIO headers. The board also features two USB-C ports, one for data and one for debugging, MIPI DSI and MIPI CSI connectors to add a display and a camera, a microSD card slot for storage, and a few buttons and LEDs. It’s basically a board for engineers wanting to access all features of the ESP32-P4 without extra bells and whistles.

2 days ago | cnx-software.com | Jean-Luc Aufranc

STMicro’s STM32WBA5MMG is a tiny (12.5 x 8 mm), ultra-low-power 2.4 GHz wireless module based on the STM32WBA55UG wireless microcontroller with support for Bluetooth 6.0 LE, Zigbee 3.0, and OpenThread.

2 days ago | cnx-software.com | Jean-Luc Aufranc

Colonel Panic’s Mesh Mapper is a project designed to map drones emitting the FAA’s Remote ID over WiFi or Bluetooth with location, altitude, pilot position, and identification data. This project utilizes an ESP32-C3 or ESP32-S3 to capture Remote ID transmissions within range, and then feeds the data into a Python Flask web application part of Mesh Mapper that provides real-time visualization and logging.