Waveshare has launched the 8-Channel RS485 TO ETH (B) and 8-Channel RS485 TO POE ETH (B) industrial Ethernet serial servers designed for bi-directional transparent data transmission between RS485 and Ethernet networks. The only difference is PoE support, one has it, the other doesn’t, recognizable by their names. It features eight RS485 channels that operate independently, and supports two Ethernet ports (with an optional PoE version compliant with IEEE 802.3af). Key features include working as a serial server, Modbus gateway, MQTT gateway, and RS-485 to JSON converter. It also supports protocols like TCP, UDP, HTTP, DHCP, DNS, and more. It works in the industrial temperature range (-40°C to 85°C), offers power and signal isolation, 2kV surge protection, and comes housed in a durable aluminum alloy enclosure. Additionally, it supports wall-mount or rail-mount installation, multiple power supply methods (DC 7–36V via screw terminal or PoE), and web browser/device library configuration. These features make […]
Zalmotek RA6M1, RA8M1, and RZ/A3U SoMs follow Adafruit Feather form factor, support carrier board for robotics and industrial control
Romanian company Zalmotek has recently introduced three new SoMs, the RA6M1, RA8M1, and RZ/A3UL, and a modular carrier board designed for embedded applications such as robotics, industrial control, and edge computing. There are a few things that I find interesting about this setup. The SoM comes in Adafruit Feather form factor and, as a result, supports various Adafruit FeatherWings. The modular carrier board supports the Dynamixel motor driver module, the Particle M-SoM breakout module, Ethernet, and CAN modules. The RA6M1 Feather SoM is powered by a Renesas RA6M1 Arm Cortex-M4 CPU at up to 120 MHz, with 512 KB flash and 96 KB SRAM while the RA8M1 Feather SoM features a Renesas RA8M1 64-bit Arm Cortex-M85 running at up to 360 MHz with 128 Mbit SPI flash, the RZ/A3UL Feather SoM is based on a Renesas RZ/A3UL 64-bit Arm Cortex-A55 CPU at up to 1 GHz, with 512 Mbit OctaFlash […]
Arduino cloud editor gets Claude-powered AI assistant trained on Arduino docs and libraries
Arduino recently announced that their Cloud Editor now includes an AI assistant based on Anthropic’s Claude large language model (LLM). The AI assistant is designed to make the coding experience smoother by providing intelligent, context-aware support directly within the Cloud Editor. This tool understands your specific board, libraries, and project setup, and generates code and fixes bugs. It also explains functions without requiring users to leave the development environment. Additionally, it reduces repetitive tasks by creating reliable boilerplate code and accelerates development with natural language prompt-based sketch generation, instant debugging, and detailed code explanations. These features make this tool useful for hobbyists, educators, and developers seeking to boost productivity and creativity in embedded projects. – Main features of Arduino’s AI assistant Platform – Integrated into Arduino Cloud Editor (app.arduino.cc) Compatibility – Exclusive to Arduino Cloud Editor (not available in the desktop IDE) AI Model – Powered by Anthropic Claude LLM […]
Muse Pi Pro is a feature-packed, credit card-sized SpacemIT M1 RISC-V SBC with HDMI, GbE, 4x USB, M.2 and mPCIe sockets
Muse Pi Pro is a feature-packed, credit card-sized SBC powered by the SpacemIT M1 octa-core 64-bit RISC-V AI SoC with a 2 TOPS NPU and equipped with up to 16GB LPDDR4x and 128GB eMMC flash. The single board computer features gigabit Ethernet and a WiFi 6 + Bluetooth 5.3 module for connectivity, HDMI and MIPI DSI display interfaces, two MIPI CSI interfaces, a 3.5mm audio jack, four USB 3.0 ports, an M.2 socket for an NVMe SSD or wireless module, a mini PCIE socket for WiFi and 4G LTE/5G cellular connector, and a 40-pin GPIO header for expansion. That’s quite a lot of features for such a compact board. Muse Pi Pro specifications: SoC – SpacemiT M1 (similar to SpacemIT K1, but clocked at 1.8 GHz) CPU – 8-core X60 RISC-V processor @ 1.8 GHz GPU – Imagination IMG BXE-2-32 with support for OpenGL ES3.2, Vulkan 1.2, OpenCL 3.0; 20 […]
Air Lab is a portable Wi-Fi & Bluetooth LE air quality monitor with an e-paper touchscreen display (Crowdfunding)
Networked Artifacts’ Air Lab is a portable air quality monitor based on ESP32-S3 Wi-Fi & Bluetooth LE wireless SoC, equipped with an e-paper touchscreen display, and plenty of sensors to measure CO2, temperature, relative humidity, air pollutants (VOC, NOx), and atmospheric pressure. The Air Lab ships with a rechargeable 1,500 mAh battery that will be good for about 21 days on a charge in passive mode (taking measurements every minute), and you can also power it over its USB-C ports. It includes a debug port for people wanting to change the firmware, and a GPIO header to connect additional sensors if required. Data can be visualized on the e-paper display or transmitted over BLE or MQTT for integration with Home Assistant. The company also provides a CSV export function and a web-based dashboard for data visualization. Air Lab specifications: Main module – ESP32-S3 module with PCB antenna for 2.4GHz WiFi […]
IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)
IBASE EC3100 is a fanless edge AI computer powered by NVIDIA Jetson Orin NX or Orin Nano module with up to six GbE ports, including four with PoE for cameras, a wide 9V to 36V DC input, and a -20°C to 70°C temperature range for industrial environments. The EC3100 is equipped with a choice of modules from the Jetson Orin Nano 4GB up to the Jetson Orin NX 16GB, delivering a maximum of 157 TOPS of AI performance. The embedded system also features an HDMI 2.1 video output, audio input and output jacks, optional WiFi and/or 4G LTE/5G cellular connectivity, RS232 and CAN Bus DB9 connectors, and several digital inputs and outputs. EC3100 specifications: System-on-Module (one or the other) EC3100-NANO-4 – NVIDIA Jetson Orin Nano 4GB with 8-core Arm Cortex-A78AE CPU @ 1.5 GHz, 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores; 34 TOPS max EC3100-NANO-8 – NVIDIA Jetson […]
LILYGO T-Echo Lite – A 1.22-inch e-Paper display board with nRF52840 SoC, LoRa transceiver, GPS
LILYGO T-Echo Lite is a small Nordic Semi nRF52840 board with a 1.22-inch e-Paper display, a Semtech SX1262 LoRa transceiver, and an L76K GPS module, that’s especially suitable for Meshtastic off-grid messaging firmware. It looks like it could even serve as the base for a Meshtastic watch. The T-Echo Lite is a lightweight version of the earlier T-Echo that ships with a larger 1.54-inch e-paper display. Three Lite versions are available: T-Echo Lite Core – Castellated module with nRF52840, LoRa, power, and battery management T-Echo Lite Base – A breakout board for the Core module with battery and solar panel connectors, Qwiic connector, USB port, an interface for a 1.22-inch e-paper display, and an optional GPS expansion header T-Echo Lite Main Unit – Complete solution built around the Base version, a 1.22-inch e-paper display, and an acrylic enclosure. The L76K GPS module is still an option. T-Echo Lite specifications: LILYGO […]
Espressif Systems ESP32-P4-EYE development kit looks like a camera
Espressif Systems’ ESP32-P4-EYE is a development kit designed for AI vision applications that looks like a standard camera. It combines an ESP32-P4 RISC-V microcontroller with an ESP32-C6 WiFi 6, BLE, and 802.15.4 SoC, and is equipped with a MIPI-CSI camera, a 2MP display, a microphone, and a MicroSD card to store photos or videos. There’s also a rotatory encoder to control the menu on the LCD or adjust the zoom, a fill/flash light, a few buttons, an LED, and support for either USB or battery power. The company says the ESP32-P4 camera devkit targets smart surveillance, vision-based edge AI, real-time image detection, and audio-visual IoT interfaces. ESP32-P4-EYE specifications: Microcontroller – ESP32-P4 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 Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory […]