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Posted on by Kumpee Teeravech - 1 Comment on LattePanda IOTA review – An Intel N150 + RP2040 SBC tested with Windows 11, UPS expansion, PoE, NVMe SSD, and more

LattePanda IOTA review – An Intel N150 + RP2040 SBC tested with Windows 11, UPS expansion, PoE, NVMe SSD, and more

lattepanda iota review

I’ve received a review sample of the LattePanda IOTA single-board computer (SBC) from DFRobot. It is a compact, palm-sized SBC powered by an Intel Processor N150 quad-core Twin Lake CPU, and featuring 8 GB of LPDDR5 RAM and 64 GB of onboard eMMC storage. It also integrates a Raspberry Pi RP2040 co-processor for handling I/O operations, providing greater flexibility for embedded and automation applications. LattePanda IOTA unboxing The parcel was shipped from China and arrived safely in a standard cardboard box. Inside were several smaller boxes containing the following components, with foam padding that was slightly loose but still provided adequate protection. All components arrived in good condition. I received a total of seven items from DFRobot, which are listed below. LattePanda IOTA (8GB RAM, 64GB eMMC flash) Smart UPS Expansion Board: A plug-and-play UPS module for the LattePanda IOTA that provides stable, continuous power with intelligent management and supports […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on CamThink NeoEyes NE301 – An ultra-low-power, STM32N6-based Edge AI camera

CamThink NeoEyes NE301 – An ultra-low-power, STM32N6-based Edge AI camera

CamThink NeoEyes 301

CamThink NeoEyes NE301 is an ultra-low-power Edge AI camera built around the STM32N6 Arm Cortex-M55 MCU with Neural-ART NPU that “offers significantly enhanced features and performance” compared to the company’s earlier ESP32-S3-based NeoEyes NE101. The camera ships with a 4MP MIPI CSI camera sensor by default, but USB camera sensors are also supported. It also features 64MB PSRAM, 128MB hyperflash, WiFi 6 and Bluetooth 5.4 wireless connectivity, optional support for a 4G LTE module (global or US), audio wafers, USB-C and UART debug, a 16-pin GPIO header, and support for either USB, battery, or PoE power. CamThink NeoEyes 301 specifications: MCU – STMicro STM32N6 MCU Core – Arm 32-bit Cortex-M55 CPU @ up to 800MHz with Arm Helium and Arm MVE GPU – Neo-Chrom 2.5D GPU, Chrom-ART Accelerator (DMA2D) NPU – ST Neural-ART accelerator @ 1 GHz, up to 600 GOPS; 3 TOPS/W enabling fanless operation BPU – Hardware-accelerated H.264 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 272 Comments on Giveaway Week 2025 – Elecrow Pi Terminal Raspberry CM4 industrial HMI display

Giveaway Week 2025 – Elecrow Pi Terminal Raspberry CM4 industrial HMI display

Elecrow CrowPanel CM4 Pi Terminal Demo application

Sometimes we receive samples even though we did not ask for them, said we would have time to review them, or due to miscommunication. That’s exactly what has happened with the Elecrow Pi Terminal, a Raspberry Pi CM4-powered industrial HMI with a 7-inch touchscreen display. So instead of letting it go to waste, I decided to offer it as the second prize of the CNX Software Giveaway Week 2025 contest. Elecrow Pi Terminal specifications: SoM – Raspberry Pi CM4 Lite SoC – Broadcom BCM2711 CPU – Quad-core Cortex-A72 SoC @ 1.5GHz GPU – VideoCore VI with support for OpenGL ES 3.1 and Vulkan 1.0 VPU Decode – H.265/HEVC up to 4Kp60, H.264 up to 1080p60 Encode – H.264 up to 1080p30 Memory – 4GB LPDDR4-3200 Storage – N/A Wireless – Dual-band WiFi 5 and Bluetooth 5.0 Storage 64GB microSD card preloaded with the Raspberry Pi OS + Node-RED software M.2 […]

Posted on by Debashis Das - No Comments on Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

EC AGXOrin NVIDIA Jetson 275 TOPS Edge AI Computer

Firefly EC-AGXOrin is an NVIDIA Jetson AGX Orin 64GB-powered AI inference system, similar to the AAEON BOXER-8645AI and Vecow RAC-1000 rugged Edge AI systems, and designed for edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The device features eight GMSL2 connectors (input via two 4-pin Mini FAKRA interfaces) and supports up to 22-channel 1080p or 8K, 30fps H.265 video decoding. It delivers 275 TOPS of AI performance through the NVIDIA module, and integrates 64GB LPDDR5 RAM, 64GB eMMC storage, and offers M.2 NVMe and MicroSD card storage options. Other ports include a 10GbE RJ45 jack, five GbE jacks, USB 3.0, HDMI 2.0, RS232, RS485, CAN, and the system also supports WiFi 6, Bluetooth 5.2, 4G/5G cellular connectivity, and GPS/GNSS. Firefly EC-AGXOrin specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 18 Comments on $165 Banana Pi BPI-R4 Pro board offers 2x 10GbE SFP+ cages, 7x 10GbE/2.5GbE/GbE RJ45 ports, WiFi 7 support

$165 Banana Pi BPI-R4 Pro board offers 2x 10GbE SFP+ cages, 7x 10GbE/2.5GbE/GbE RJ45 ports, WiFi 7 support

Banana Pi BPI R4 Pro

The Banana Pi BPI-R4 Pro is a new router board based on MediaTek Filogic 880 (MT7988A) Cortex-A73 SoC offering two 10GbE SFP+ cages/RJ45 ports combos, four 2.5GbE RJ45 ports, two Gigabit Ethernet interfaces, and optional WiFi 7 support via the Banana Pi BPI-R4-MIC-BE14 dual mini PCIe module. As its name implies, it’s a Pro/upgraded version of the Banana Pi BPI-R4 board first introduced in 2023, which doubles the memory to 8GB DDR4, doubles the SPI flash’s capacity to 256MB, and adds a few networking ports, M.2 expansion slots for a total of six, and a few other minor features highlighted in bold in the specifications below. Banana Pi BPI-R4 Pro specifications: SoC – MediaTek MT7988A (Filogic 880) quad-core Arm Corex-A73 processor @ 1.8GHz with AI-powered packet accelerator called TOPS (Tunnel Offload Processor System) System Memory – 8GB DDR4 Storage 8GB eMMC flash 256MB SPI NAND Flash MicroSD card slot 2x […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on GIGAIPC 3.5-inch Intel Core Ultra Meteor Lake SBCs target smart parking, medical devices, and smart retail solutions

GIGAIPC 3.5-inch Intel Core Ultra Meteor Lake SBCs target smart parking, medical devices, and smart retail solutions

GIGAIPC QBiP-155UB QBiP-125UB 3.5-inch SBC

GIGAIPC QBiP-155UB and QBiP-125UB 3.5-inch Intel Core Ultra Meteor Lake SBCs are designed for power-constrained edge applications such as smart parking systems, precision medical devices, and intelligent retail solutions. They are powered by either an Intel Core Ultra 5 125H or Core Ultra 7 155H SoC, support up to 96GB DDR5, SATA and NVMe storage, three video interfaces through two HDMI ports and an LVDS connector, and feature two 2.5GbE ports, an M.2 E-Key socket for WiFi and Bluetooth, a mini PCIe socket for 4G LTE or 5G cellular connectivity, and a few USB and serial interfaces. GIGAIPC QBiP-155UB/QBiP-125UB specifications: Meteor Lake SoC (one or the other) Intel Core Ultra 5 125U 12-core/14-thread (2P+8E+2LPE) processor @ 1.3 / 4.3 GHz with 12MB cache, 4x Xe-core Intel graphics @ 1.85 GHz, Intel AI Boost NPU; PBP: 15W Intel Core Ultra 7 155U 12-core/14-thread (2P+8E+2LPE) processor @ 1.7 / 4.8 GHz with […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Forlinx FET3506J-C is an ultra-small (40 x 29mm) Rockchip RK3506J SoM with board-to-board connectors

Forlinx FET3506J-C is an ultra-small (40 x 29mm) Rockchip RK3506J SoM with board-to-board connectors

Tiny Rockchip RK3506J SoM

Forlinx Embedded FET3506J-C is an ultra-small system-on-module (SoM) based on Rockchip RK3506J triple-core Cortex-A7 SoC measuring just 40 x 29mm, and equipped with up to 512MB DDR3, and 256MB NAND flash, or 8GB eMMC flash. I first thought I had already written about it, but the Forlinx FET3506J-S module introduced last March has a different design. It measures 44 x 35mm and exposes all I/Os through castellated holes, while the FET3506J-C features two 80-pin board-to-board (B2B) connectors instead. The company also provides the OK3506J-C single board computer for evaluation, but considering the module is inserted into the carrier board, as opposed to soldered, the carrier board could potentially be used with future modules using the same B2B connectors design. Forlinx FET3506J-C system-on-module Specifications: SoC – Rockchip RK3506J/B CPU 3x Arm Cortex-A7 core up to 1.5 GHz (RK3506J) or 1.6 GHz (RK3506B) Arm Cortex-M0 real-time core @ 200 MHz GPU – […]

Posted on by Debashis Das - No Comments on Thin mini-ITX industrial motherboard features Intel Core Ultra 5 225H or Ultra 7 255H Arrow Lake-H SoC

Thin mini-ITX industrial motherboard features Intel Core Ultra 5 225H or Ultra 7 255H Arrow Lake-H SoC

Jetway MTX ARH1 Thin Mini ITX Industrial SBC

Jetway MTX-ARH1 is a thin Mini-ITX industrial motherboard powered by either an Intel Core Ultra 5 225H or Ultra 7 225H “Arrow Lake-H” SoC, and is a direct upgrade over the Meteor Lake-H-based MTX-MTH1. The new board also features faster 6400MHz DDR5 memory and conditional 8K display support. Other features mostly stay the same: up to 96GB DDR5 memory, quad display output, triple 2.5GbE networking via Intel I226 controllers, dual M.2 M-Key sockets, an M.2 B-Key with nano-SIM for 4G/5G, an M.2 E-Key with CNVi for WiFi/Bluetooth, plus a PCIe Gen5 x8 slot and SATA with RAID 0/1. There’s also support for watchdog timer, optional TPM 2.0, Realtek audio, USB 3.2 Gen2 and USB 2.0 (with headers), multiple COM ports, GPIO, I²C, and SMBus. These features make this board suitable for industrial PCs, edge AI, AIoT gateways, and multi-display systems. Jetway MTX-ARH1 specifications: Arrow Lake SoC (one or the other) […]

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Banana Pi BPI-R4 Pro networking SBC