Luckfox Lume – A compact Allwinner T153 SBC with dual GbE, PoE, GPIO header, and MIPI interfaces for industrial HMI applications
Luckfox Lume is a compact industrial SBC powered by an Allwinner T153 quad-core Cortex-A7 SoC with a low-power RISC-V core, and equipped with 128MB DDR3, 256MB SPI NAND flash, and dual Gigabit Ethernet The board also features a microSD card slot, a USB 2.0 Type-A port, a USB Type-C port, MIPI DSI and CSI connectors, and a 40-pin GPIO header suitable for a range of HMI applications. By default, the board is powered through USB-C, but a PoE model is also available. Luckfox Lume specifications: SoC – Allwinner T153 M3-QCX CPU 4x Arm Cortex-A7 cores @ up to 1.6GHz XuanTie E907 RISC-V core @ up to 600MHz GPU – 2D GPU only No VPU, no NPU System Memory - 128 MB built-in DDR3 (TBC) Storage 256 MB SPI NAND flash (Winbond 25N02KVZEIR) MicroSD card slot Display Interface - 4-lane MIPI DSI Camera Interface - 2-lane MIPI CSI Networking - 2x
This Raspberry Pi-like single-board PC is powered by an ESP32-P4C6 module with a 400 MHz dual-core RISC-V MCU, support for WiFi 6 and Bluetooth 5, 10/100 Ethernet, microSD card reader and 40-pin GPIO header.
https://www.cnx-software.com/2026/03/27/esp32-p4-pi-viewe-raspberry-pi-esp32-p4-esp32-c6-board/ #ESP32P4PiVIEWE #ESP32P4 #ESP32 #ESP32C6 #RISCV #SingleBoardComputer
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
The ESP32-P4-Pi-VIEWE is a Raspberry Pi-inspired development board equipped with a VIEWE ESP32-P4C6-Core module, combining a 400 MHz ESP32-P4 dual-core RISC-V MCU with an ESP32-C6 chip for Wi-Fi 6 and Bluetooth 5.0 wireless connectivity, as well as 32MB PSRAM and 16MB NOR flash. The board also offers 10/100Mbps Ethernet connectivity, MIPI DSI, and CSI connectors for display and/or camera, two onboard microphones, a speaker output, a USB 2.0 port, a micro SD card slot, and the usual 40-pin GPIO header, all in a familiar 85 x 56 mm credit card form factor. ESP32-P4-Pi-VIEWE specifications: Main module - VIEWE ESP32-P4C6-Core Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 360/400 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 – 768 KB HP L2MEM, 32 KB LP SRAM,
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/27/esp32-p4-pi-viewe-raspberry-pi-esp32-p4-esp32-c6-board/
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
The ESP32-P4-Pi-VIEWE is a Raspberry Pi-inspired development board equipped with a VIEWE ESP32-P4C6-Core module, combining a 400 MHz ESP32-P4 dual-core RISC-V MCU with an ESP32-C6 chip for Wi-Fi 6 and Bluetooth 5.0 wireless connectivity, as well as 32MB PSRAM and 16MB NOR flash. The board also offers 10/100Mbps Ethernet connectivity, MIPI DSI, and CSI connectors for display and/or camera, two onboard microphones, a speaker output, a USB 2.0 port, a micro SD card slot, and the usual 40-pin GPIO header, all in a familiar 85 x 56 mm credit card form factor. ESP32-P4-Pi-VIEWE specifications: Main module - VIEWE ESP32-P4C6-Core Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 360/400 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 – 768 KB HP L2MEM, 32 KB LP SRAM,
Radxa AICore DX-M1M M.2 2242 low-power AI module delivers 25 TOPS of edge AI performance for just 3W of power
Radxa AICore DX-M1M is a compact, low-power M.2 edge AI acceleration module built around the DeepX DX-M1M neural processing unit (NPU) and delivers up to 25 TOPS (INT8) of AI performance while consuming only 3W of power. Designed for industrial robot arms, autonomous mobile robots (ARM), edge servers, drones, and AIoT devices, the module delivers high-performance AI and ML capabilities without blowing the power budget. It relies on a PCIe Gen3 x2 interface and works with both x86 and Arm systems, including the Raspberry Pi 5 and Radxa ROCK SBCs. AICore DX-M1M specifications: AI Accelerator – DeepX DX-M1M neural processing unit (NPU) with up to 25 TOPS AI System Memory – 1GB LPDDR4X @ 4266 MT/s (on-chip, supports up to 8GB according to DeepX) Storage – 1Gbit QSPI NAND / NOR flash Host Interface - PCIe Gen 3.0 x4 (supports Gen 1/2/3 and x1/x2) via M.2 M + B Key connector
Avaota F2 – Allwinner V861 RISC-V SBC targets AI cameras with PTZ and audio support
Avaota F2 is the first SBC based on an Allwinner V861 dual-core 64-bit RISC-V SoC with 128MB on-chip DDR3 memory, support for 4K cameras, a H.265 video codec, and a 1 TOPS AI accelerator. It's an update to the earlier Avaota F1 camera board based on an Allwinner V821 SoC. The new open-source hardware F2 SBC offers several benefits, including support for both Full HD and 4K camera sensors, motor control for the PTZ (Pan-Tilt-Zoom) feature, and improved audio support through speaker (one) and microphone (two) connectors. However, the F1 also included WiFi, which the Avaota F2 lacks. Avaota F2 specifications: SoC – Allwinner V861M2-XXX CPU Dual-Core RISC-V XuanTie C907 (RV64GCBV/RV32GGCBV) clocked up to 1.4GHz with RVV 1.0 extensions Single-core RISC-V XuanTie E907 (RV32IMAFC) clocked up to 800MHz VPU Video Encoder H.264/H.265 up to 4K @ 25fps (M)JPEG up to 8192×8192 Video Decoder – (M)JPEG up to 1080p60 AI accelerator
COM HPC Mini-sized VersaLogic Raptor “Embedded Processing Unit” features 13th gen Intel Core i5-1345URE or Processor U300E SoC
VersaLogic Raptor (VL-EPU-5530) Embedded Processing Unit is powered by a 13th Gen Intel Core i5-1345URE or Processor U300E SoC and designed for high-performance computing applications in harsh environments with a -40 to +85°C temperature range and MIL-STD-202H shock and vibration qualification. The COM HPC Mini-sized (95 x 80 x 36mm) board supports up to 64 GB of soldered-down LPDDR5 memory, features vertical USB4, USB 3.0 Type-A, and mini DisplayPort connectors, two 2.5 Gbps Ethernet ports with TSN support, and three M.2 expansion sockets for NVMe SSDs, AI accelerators, or other expansion modules. Specifications: Raptor Lake SoC (one or the other) Intel Processor U300E 5-core/6-thread processor with 1x P-core @ 1.1 GHz / 4.3 GHz (Turbo) 4x E-cores up to 3.2 GHz (Turbo), 8MB Cache, 48EU Intel UHD Graphics up to 1.1 GHz; PBP: 15W Intel Core i5-1345URE 10-core/12-thread processor with 2x P-cores @ 1.4 GHz / 4.6 GHz (Turbo), 8x
Secondly and, again, lastly but no means leastly, there's a new BeagleBoard in town: the BeagleBadge, a TI-powered (naturally) open-hardware single-board computer with, unusually for the family, an ePaper screen and a bunch of integrated sensors.
https://www.hackster.io/news/beagleboard-org-unveils-the-beaglebadge-a-compact-all-in-one-open-hardware-epaper-badge-board-db18e2ec51b5
#Technology #News #Hackster #SingleBoardComputer #Badge #OpenHardware
BeagleBoard.org Unveils the BeagleBadge, a Compact All-In-One Open-Hardware ePaper Badge Board
Application-class Texas Instrument chip delivers support for Linux, Zephyr RTOS, LVGL, MicroPython, Meshtastic and ActivityPub.
Makerfabs CM0IQ – An ultra-compact (42x36mm) Raspberry Pi CM0 Lite board
The CM0IQ is an ultra-compact board based on the Raspberry Pi CM0 Lite Compute Module. It measures just 42 × 36 mm and squeezes multiple interfaces into a 15.1 cm² footprint, making it suitable for space-constrained applications such as robotics, IoT devices, and custom hardware integrations. Despite being smaller than a Raspberry Pi Zero 2 W (19.5 cm²), the CM0IQ manages to include a full-sized USB-A port, a Micro HDMI port, and 4-lane MIPI CSI and DSI connectors. To fit everything into this small footprint, the designer also relied on a 1.27 mm 40-pin GPIO header rather than the standard 2.54 mm header. The board also features a USB Type-C for power, a microSD card slot for storage, 5V solder pads for power input, and four M2 mounting threads. Raspberry Pi CM0IQ Specifications: SoM – Raspberry Pi CM0 Lite SoC – Broadcom BCM2710A1 CPU – Quad-core Cortex-A53 processor @ 1.0 GHz
BeagleBadge – A Linux-powered 4.2-inch ePaper badge based on TI Sitara AM62L32 SoC
The BeagleBoard.org Foundation has just introduced the BeagleBadge featuring a 4.2-inch ePaper display and a Linux-capable Texas Instruments Sitara AML62L32 dual-core Cortex-A53 SoC. It's quite feature-rich for a badge, as it offers WiFi 6, Bluetooth 5.4 LE, and LoRa/LoRaWAN connectivity, various motion and environmental sensors, a USB 2.0 host port, Mikrobus, Grove, and QWIIC expansion connectors, a 4-way joystick, a buzzer, and a range of buttons and LEDs. BeagleBadge specifications: SoC - Texas Instruments Sitara AM62L32 dual-core Arm Cortex-A53 processor @ 1.25GHz System Memory - 256 MB (128M x 16bit) LPDDR4 @ 1600 MHz Storage 4GB eMMC flash 256Mbit OSPI flash 32Kbit EEPROM MicroSD card slot Display 4.2-inch ePaper display via 24-pin FPC Connector MIPI DSI connector for LCD Wireless 2.4 GHz WiFi 6 + Bluetooth 5.3 via BeagleMod CC3301-1216 module with MHF4 Connector LoRaWAN via Wio SX1262 module with u.FL Connector USB USB 2.0 Type-A host port USB Type-C
A very late #Hackster round-up today, as I tick it off the to-do list before crawling into bed. Travel is mostly sitting down, how can it possibly be so tiring?
First up, #Arduino couldn't wait until #EmbeddedWorld2026 opens tomorrow - so it's announced the new shiny VENTUNO Q, which is a hopped-up UNO Q designed for robotics and, yes, machine learning at the edge.
https://www.hackster.io/news/arduino-celebrates-turning-21-with-the-ventuno-q-a-high-performance-sbc-for-robotics-and-more-f5c2597482ea
#Technology #News #SingleBoardComputer
Arduino Celebrates Turning 21 with the VENTUNO Q, a High-Performance SBC for Robotics and More
Company lifts the lid on its big secret, which will be showcased during Embedded World in Nuremberg this week.
cnx-software.com
Brad Linder
Gareth Halfacree