The Axon platform offers WiFi & LoRa IoT messaging in a compact form factor (Crowdfunding)

Axon Board

Qortex (Amine Mehdi Mansouri) has developed the WiFi & LoRa IoT messaging platform to allow devices to communicate wirelessly via serial messages. The solution also includes a wireless serial port and 4 digital outputs. The tiny Axon board is based on ESP8266 WiFi SoC and can be augmented with a LoRa module for a longer range, and the solution integrates with the Axon cloud for data visualization in the cloud. There’s also a HAT expansion board for Raspberry Pi compatibility. Axon board specifications: Wireless module – ESP12-S ESP8266 2.4 GHz WiFi 4 module USB – USB Type-C port for power and programming via CP2102 Expansion – 2x 6-pin header with GPIOs, UART, 5V, 3.3V, and GND Misc – Status LED, Reset button, USB/MCU (UART) selection switch Power Supply 5V input via USB-C port 3.3V/600mA LDO PTC fuse, reverse polarity protection, ESD protection Dimensions – 30 x 25 mm The board […]

Check LoRaWAN deployments on the go with WisGate Developer Base USB dongle

Wisgate Developer Platform

RAKWireless just had their “Big Tech Bloom” event services they announced many new LPWAN products ranging from WisDM fleet management system, OpenWrt based Wisgate OS, new industrial LoRaWAN gateways like WisGate Edge Lite 2, their first STM32WL module, as well as 9 new modules for WisBlock modular IoT platform with MIC, e-Paper display, GPS, an ESP32 based WisBlock core, etc… But today, I’ll have a look at the new $99 WisGate Developer Base, a USB dongle that connects to a laptop for LoRaWAN networks evaluation, for example, to check the coverage before installing a new gateway. Alternatively, it could also be used to add LoRaWAN gateway capability to existing embedded hardware like routers or industrial PCs. Two variants of the WisGate Developer Base are available – RAK7271 & RAK7371 – with the following specifications: Concentrator modules RAK7271 – RAK2287 SX1302 based mini PCIe concentrator module RAK7371 – RAK5146 SX1303 based […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

A first look at Allwinner D1 Linux RISC-V SBC and Processor

Allwinner D1 RISC-V SBC

Last year, we reported that Allwinner was working on an Alibaba XuanTie C906 based RISC-V processor that would be found in low-cost Linux capable single board computers selling for as low as $12. The good news is that we won’t have to wait much longer as Allwinner D1 RISC-V processor is slated for an announcement next week, and a business card-sized SBC, also made by Allwinner, will become available in May. Some of the information is already available to developers in China, and CNX Software managed to obtain information about the Linux RISC-V SBC and Allwinner D1 processor. Allwinner D1 development board Let’s check out the board first which comes with the following specifications: SoC – Allwinner D1 single-core XuanTie C906 64-bit RISC-V processor @ 1.0 GHz with HiFi4 DSP, G2D 2D graphics accelerators Memory – 1GB DDR3 memory Storage – 256MB SPI NAND flash, MicroSD card slot Video Output […]

Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

Arducam Pico4ML

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, […]

AMD Ryzen Embedded V2000 series on COM Express Compact (Sponsored)

conga-TCV2 AMD Ryzen Embedded V2000 COM Express

8 cores for heterogeneous edge computing Tasks at the embedded edge are getting more and more complex. Supporting up to 8 cores and 16 threads, the recently-launched AMD Ryzen Embedded V2000 processors are paving the way for x86-based embedded designs with unprecedented compute density and performance per watt. congatec is offering the new Zen 2 based processor generation, which complements V1000 processor technology with 6- and 8-core versions, on COM Express Compact modules. As the trend towards more IIoT connectivity and digitization continues, embedded systems must handle a growing number of tasks. Additional tasks include the collection of application data that needs to be transcoded, and sometimes analyzed locally using artificial intelligence (AI). In parallel, data must be exchanged with customers’ enterprise clouds and other OEM apps, and this communication must be highly secure, because new pay-per-use models turn the devices, machines, and systems into an OEM revenue source that […]

LoRaWAN BACnet gateway uses Raspberry Pi CM3+ for building automation

Raspberry Pi BACNet Gateway with LoRaWAN

A few years about we wrote about BASpi I/O Raspberry Pi HAT compatible with BACNet, a data communication protocol for Building Automation and Control Networks, also known as the ISO 16484-6  standard, and used for HVACs, lightings, elevators, fire safety, and other systems found in buildings. But if you’d like a turnkey BACnet solution based on Raspberry Pi, UK-based Innovelec‘s DINGO LoRaWAN BACnet Advanced Gateway/Server may be easier to integrate into your building’s electrical installation and also offers low-power long-range LoRaWAN communication. DINGO-LORAWAN-GW_SVR-01 key features and specifications: System-on-Module – Raspberry Pi Compute Module 3+ with Broadcom BCM2837B0 quad-c ore Arm Cortex-A53 processor @ 1.2GHz, 1GB LPDDR2 RAM, 8GB eMMC Flash (16GB  or 32 GB as option), RTC Info Display – 128×64 pixel OLED LCD Video Output – HDMI Networking 1x RJ45 10/100BaseT Ethernet 1x RJ45 10BaseT Ethernet LoRaWAN connectivity Support for LoRaWAN V1.0.2 and V1.0.3 Tx Power – Up to […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

Arduino Core mbed 2.0 supports Raspberry Pi Pico & Arduino Nano RP2040 Connect

Raspberry Pi Pico Arduino mBed

Last week, we noted and tried the unofficial Raspberry Pi Pico Arduino Core that works on RP2040 boards, including Raspberry Pi Pico. Everything was super early to set up and the blink sample worked just fine. But Arduino recently tweeted about the Arduino Core mbed 2.0 release that adds for Raspberry Pi RP2040 boards including Arduino Nano RP2040 Connect and Raspberry Pi Pico boards. Arduino first used mbed for their Arduino Nano 33 BLE board as they didn’t have an official Arduino core for the Nordic nRF52840 Cortex-M4 microcontroller, and it appears they’ve done the same for Raspberry Pi RP2040 whose mbed implementation itself relies on the C SDK. Let’s have a try, how hard can it be? We can find the release and changelog on Github with some instructions on the main Github. First, we can clone the repo in the sketchbook directory (See Arduino IDE’s preferences) which in […]

T95 Plus Android 11 TV Box features Rockchip RK3566 AIoT processor, 8GB RAM

T95 Plus RK3566

Last month, we wrote about the first Rockchip RK3566 TV box we had seen so far with a new version of the H96 Max TV box running Android 11 with up to 8GB RAM. While Rockchip RK3566 processor has multimedia capabilities with 4K HDR video playback and output, it has many other interfaces such as native PCIe and SATA that would not make it as cost-effective as TV Box SoC’s like Rockchip RK3328 or Amlogic S905X4. But this does not stop companies from making TV boxes with the AIoT processor, and T95 Plus TV box offers another option, again with up to 8GB RAM. T95 Plus specifications: SoC – Rockchip RK3566 quad-core Cortex-A55 processor @ 1.8 GHz with Arm Mali-G52 EE GPU, 0.8 TOPS NPU/AI accelerator System Memory – 4GB, 6GB, or 8GB RAM Storage – 32GB, 64GB, or 128GB eMMC flash, MicroSD card slot Video Output – HDMI 2.0a […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications