EDATEC ED-PLC2010 is an industrial controller powered by a Raspberry Pi CM4, supporting EtherCAT and Modbus interfaces, up to 32 I/O modules, and preloaded with CODESYS runtime for real-time core and visualization capabilities. DIN Rain-mountable Raspberry Pi CM4 industrial controllers are not exactly new, with products such as Modberry 500 CM4 and Edgebox-RPI4 announced shortly after the launch of the Raspberry Pi Compute Module 4 in 2020. More recently (2024), Seeed Studio introduced the reComputer R1113-10 IoT gateway, and Sfera Labs launched the Strato Pi Max. TECHBASE also upgraded the Modberry 500 with a more powerful CM5 module. EDATEC ED-PL2010 mostly differentiates itself by shipping with a licensed version of CODESYS runtime for industrial automation. It’s also possible with other vendors, but the license might need to be purchased separatly. EDATEC ED-PLC2010 specifications: SoM – Raspberry Pi CM4 SoC – Broadcom BCM2711 CPU – Quad-core Cortex-A72 SoC @ 1.5GHz GPU […]
Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots
Aerium System’s Lumen is a carrier board for NVIDIA Jetson SO-DIMM modules designed specifically for drones and robots with a range of low-profile connectors for I/Os for USB, UART, I2C, etc…, and three M.2 sockets for storage and wireless expansion. It targets the same applications as ARK Electronics’ NDAA-compliant Jetson Orin Nano/NX carrier board for drones we covered last year, but it’s not sold as a full kit and lacks NDAA-compliance. On the positive side, it is quite smaller and lighter, so it might be better suited to smaller and/or less complex drones or robots that may still benefit from Vision AI acceleration. Aerium Lumen specifications: Compatible system-on-modules NVIDIA Jetson Nano NVIDIA Jetson Orin NX NVIDIA Jetson Orin Nano NVIDIA Jetson Xavier NX NVIDIA Jetson TX2 NX Potentially other Jetson-compatible SO-DIMM modules like the Mixtile Core 3588E, but those are not listed by the company. Storage MicroSD card slot M.2 Key-B […]
Beacon W5+ SoM – A tiny (27x15mm) Qualcomm Snapdragon W5+ System-on-Module for wearables
Beacon EmbeddedWorks’ W5+ SoM is an ultra-compact (27×15 mm) system-on-module powered by the Qualcomm Snapdragon W5+ platform for wearables with a quad-core Cortex-A53 processor, a co-processor with an Arm Cortex-M55 core and an Ethos U55 ML accelerator, and WiFi 4 and Bluetooth 5.3 connectivity. The Snapdragon W5/W5+ wearables platforms were introduced in the summer of 2022, but so far, all I could find was a $2,000 devkit (TurboX W5+) suitable for ODM/OEM manufacturers. The upcoming Beacon W5+ SoM will be one of the first hardware solutions based on the Snapdragon W5+ platform designed for commercial applications. Beacon W5+ specifications: Platform – Snapragon W5+ SW5100P-0 SoC CPU – Quad-core Cortex-A53 processor @ up to 1.7 GHz GPU – Qualcomm Adreno A702 @ up to 1,010 MHz with OpenGL ES 3.1, Vulkan 1.0, OpenCL 2.0 API support DSP – Dual Qualcomm Hexagon DSP V66K ISP – Dual ISP VPU 1080p30 Video Decode […]
NV8600-Nano AI Developer Kit features NVIDIA Jetson Orin Nano 8GB, quad GbE, Raspberry Pi Camera Module 2
AAEON NV8600-Nano AI Developer Kit is based on a 67 TOPS NVIDIA Jetson Orin Nano 8GB and ships with a carrier board with quad GbE, a Raspberry Pi Camera Module 2, a fan kit (heatsink with fan), and a 60W power adapter. The carrier board is also equipped with a 256GB M.2 2280 M-key NVMe SSD, a SATA connector, HDMI 1.4 video output, two MIPI CSI connectors compatible with Raspberry Pi Camera Modules, six USB 3.2 Gen 2 Type A ports, a few serial interfaces, a 40-pin GPIO header compliant with the Jetson Orin Nano (Super) developer kit, and two more M.2 sockets for wireless/cellular expansion. NV8600-Nano AI Developer Kit specifications: NVIDIA Jetson Orin Nano 8GB Module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.7 GHz with 1.5MB L2 + 4MB L3 GPU – 1,020 MHz NVIDIA Ampere architecture with 1024 CUDA cores and 32 tensor cores Video […]
TinyBeast FPGA – A Microchip PolarFire MPF300T/MPF100T FPGA PCIe reference design (Crowdfunding)
TinyBeast FPGA is a compact module based on Microchip PolarFire MPF100T or MPF300T FPGA with up to 300K logic elements and a hard PCIe interface that is suitable for automation, measurement, and robotics applications. Two versions of the module are available: the TinyBeast FPGA P mini PCIe module designed for integration with embedded systems, and the TinyBeast FPGA S with B2B connectors designed to be connected to a carrier board. TinyBeast FPGA P TinyBeast FPGA P specifications: FPGA – Microchip PolarFire FPGA TinyBest FPGA P-300 – MPF300T-1FCVG484E FPGA with 300K LE, 10.6 Mbit embedded RAM, 924 DSP blocks TinyBest FPGA P-100 – 100K LE, 5.2 Mbit embedded RAM, 288 DSP blocks System Memory – 4 GB DDR4 memory Storage – SPI flash Host interface – PCIe x1 Gen2 as EP via mini PCIe edge connector Expansion – Samtec SS4-30-3.00-L-D-K I/O connector for GPIOs and up to 12.7 Gbps transceivers Debugging […]
emCraft SOM-NRF9151 – A Nordic Semi nRF9151 System-on-Module with LTE-M, NB-IoT, DECT NR+, and GNSS
Better known for its Linux and uCLinux-powered system-on-modules, emCraft has just launched the SOM-NRF9151 system-on-module powered by a Nordic Semi nRF9151 Arm Cortex-M33 SiP (System-in-Package) with LTE-M, NB-IoT, and DECT NR+ connectivity, and GNSS functionality. The SoM also features a 16MB SPI flash, an nPMIC1300 for power management, a Nano SIM card slot, and a footprint for an eSIM. I/Os and power signals are exposed through two 50-pin board-to-board connectors, and the company provides a starter kit with a baseboard for evaluation. emCraft SOM-NRF9151 specifications: SiP – Nordic Semi nRF9151 CPU – Arm Cortex-M33 @ 64 MHz Memory – 256 KB SRAM Storage – 1 MB flash Wireless – LTE-M, NB-IoT, and DECT NR+ modem with GNSS 700-2200 MHz LTE bands: B1-B5, B8, B12, B13, B17-B20, B25, B26, B28, B65, B66, B85 Power Class 5 20 dBm Power Class 3 23 dBm 1.9GHz NR+ band support Certified for global operation […]
Radxa CM3J industrial-grade Rockchip RK3568J SoM is compatible with Raspberry Pi Compute Module 4
Radxa CM3J is a Raspberry Pi Compute Module 4 compatible SoM powered by a Rockchip RK3568J industrial-grade quad-core Cortex-A55 SoC and equipped with up to 8GB LPDDR4x and up to 256GB eMMC flash. It’s an update to the Radxa CM3 based on the Rockchip RK3566 SoC with an industrial temperature range and only two board-to-board connectors, and can also be viewed as a cost-down version of the Radxa CM3i with RK3568 and four B2B connectors. It competes directly against the industrial-grade Raspberry Pi Compute Module 4 introduced at the beginning of this month. Radxa CM3J specifications compared to the Radxa CM3 and Raspberry Pi CM4: The Radxa CM3J has been tested with the official Raspberry Pi CM4 IO Board, WaveShare CM4‑POE‑UPS‑BASE, WaveShare CM4‑IO‑BASE‑B, and WaveShare CM4‑NANO‑B, but other carrier boards for the Compute Module 4 may also be supported. Like with other such modules, there’s no 100% pin compatibility with […]
SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor
SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]