Single Board Computer News - Page 63 of 86 - CNX Software

February 4, 2020February 4, 2020 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

HardROCK64 SBC with Rockchip RK3399 Processor to Launch in April for $35 and Up

If you thought we didn’t have enough Rockchip RK3399 SBCs already, Pine64 is working on a smaller and cheaper version of the RockPro64 single board computer with HardROCK64 SBC powered by RK3399 processor and following Raspberry Pi form factor. HardROCK64 specifications: SoC – Rockchip RK3399 hexa-core processor with 2x Arm Cortex-A72 @ up to 1.8 GHz, 4x Cortex-A53 @ up to 1.4 GHz, a Mali-T864 GPU, and a VPU with 4K VP9 and 4K 10-bit H265/H264 decoding System Memory – 1GB, 2GB or 4GB LPDDR4 Storage – SPI flash, eMMC flash socket, MicroSD card slot Video Output – HDMI 2.0, AV port, MIPI DSI connector Audio – Analog stereo audio via AV port, digital audio via HDMI Camera – MIPI CSI connector Connectivity – Gigabit Ethernet, dual-band WiFi 5 (802.11ac) and Bluetooth 5.0 USB – 2x USB 3.0 ports, 2x USB 2.0 ports Expansion – 40-pin Raspberry Pi compatible header […]

January 28, 2020February 29, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

ASUS Tinker Edge T SBC Launched for $168 and Up

ASUS unveiled Tinker Edge T & CR1S-CM-A SBCs based on Google Coral Edge TPU system-on-module featuring both NXP i.MX 8M processor and Google Edge TPU co-processor for AI acceleration in May 2019, but at the time none of the boards were available. But earlier this month, ASUS officially announced the board, and it can now be purchased on various sites including Provantage (~$168.35) and Physical Computing (21,600 JPY ~ $200). It is also listed on Connection for about $198 but currently out of stock. Edge TPU module SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core, GC7000 Lite 3D GPU ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS System Memory – 1 GB LPDDR4 RAM Storage – 8 GB eMMC Flash memory Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2 Baseboard Storage – MicroSD card slot Networking – Gigabit […]

January 21, 2020 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Lindenis V536 SoM & SBC Targets 4K Camera Applications

Back in summer 2018, we wrote about Lindenis V5 single board computer based on Allwinner V5 quad-core Cortex-A7 processor with two MIPI CSI connectors and designed for 4K cameras. Allwinner has now come up with a new 4K camera processor very similar to V5, since Allwinner V566 comes with two Cortex-A7 cores, and a single MIPI CSI interface, and Lindenis designed a new SBC based on the new processor using a SoM + baseboard design instead. Lindenis V536 specifications: SoM SoC – Allwinner V536 dual-core Cortex-A7 processor @ 1.2 GHz; 4K H.265/H.264 video encoding & decoding @ 30 fps; 28nm process System Memory – 1GB DDR3 Storage – SPI NOR flash or SPI NAND flash, bootable MicroSD card Video Output – Micro HDMI 1.4 port Video Input – MIPI CSI connector Audio – Digital microphone Connectivity – 802.11b/g/n/ac Wi-Fi 5 & Bluetooth 4.2 via AP6255 Baseboard Interface – Castellated holes […]

January 21, 2020 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

ODYSSEY-STM32MP157C SBC Feature STMicro STM32MP157C Cortex-A7/M4 SoC

Seeed Studio has been working on a single board computer powered by STMicro STM32MP157C Arm Cortex-A7/M4 microprocessor, comprised of the Raspberry Pi inspired NPi-STM32MP157C baseboard, and SoM-STM32MP157C system-on-module. SoM-STM32MP157C SoM Module specifications: MPU (1) – STMicro STM32MP157C dual-core Arm Cortex-A7 processor @ 650 MHz, and Arm Cortex-M4F MCU System Memory (2) – 512MB DDR3 RAM Storage (4) – 4GB eMMC flash Host Connectors – 3x 70-pin board-to-board connectors with HDMI, USB, Gigabit Ethernet, audio GPIOs, etc… Misc – Power and USER LEDs PMU (3) – STPMIC1A power management IC Dimensions – 38mm x 38mm The module is said to targets consumer and industrial applications, white goods, medical equipment, and wearable devices. NPi-STM32MP157C baseboard Key features and specifications: SoM Support – Compatible with SOM-STM32MP157C described above Storage – MicroSD card slot Display I/F – 1x MIPI DSI interface Audio – 3.5mm audio jack, WM8960 audio codec Camera I/F – 1x […]

January 17, 2020 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

NVIDIA Jetson Nano Developer Kit-B01 Gets an Extra Camera Connector

Launched in March 2019, NVIDIA Jetson Nano developer kit offered an AI development platform for an affordable $99. The kit is comprised of Jetson Nano module and a carrier board, and the version I received last November ended with “A02”. Jetson Nano developer kit is now getting updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card). Jetson Nano developer kit-B01 specifications: B01 Jetson Nano CPU Module 128-core Maxwell GPU Quad-core Arm A57 processor @ 1.43 GHz System Memory – 4GB 64-bit LPDDR4 @ 25.6 GB/s Storage – microSD card slot Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 […]

January 16, 2020January 17, 2020 by Jean-Luc Aufranc (CNXSoft) - 34 Comments

NanoPi R2S Dual Gigabit Ethernet SBC & Router is Powered by Rockchip RK3328 SoC

FriendlyElec launched NanoPi R1S router with two Ethernet ports based on either Allwinner H3 or H5 processor coupled with 512MB RAM last November. Both ports are “Gigabit” Ethernet port, but one is implemented via a USB 2.0 to Ethernet controller with a maximum bandwidth of around 330 Mbps. If you’d like to get two Gigabit Ethernet reaching close to 1 Gbps each, and your target application would benefit from a bit more memory, the company is now working on NanoPi R2S based on Rockchip RK3328 processor with 1GB DDR4 memory, one Ethernet port using the GMAC from the chip, and one Ethernet port relying one a USB 3.0 to Ethernet controller. The rest of NanoPi R2S specifications are pretty similar to the earlier board except WiFi is also gone: SoC – Rockchip RK3328 quad-core Cortex-A53 @ 1.5 GHz with Arm Mali-450MP2 System Memory – 1GB DDR4 RAM Storage – MicroSD […]

January 14, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

iWave Systems Launches NXP i.MX 8QuadMax / i.MX 8QuadPlus SBC

NXP i.MX 8 series family offers plenty of options from the i.MX 8X Cortex-A35 processor to i.MX 8QuadMax octa-core processor with two Arm Cortex-A72, four Arm Cortex-A53, and two Arm Cortex-M4F cores. We already covered plenty of i.MX 8 hardware on CNX Software, including a fair amount of i.MX 8QuadMax systems-on-module such as Toradex Apalis iMX8, iWave Systems iW-RainboW-G27M SMARC 2.0 SoM, Advantech ROM-7720 Qseven 2.1 computer-on-module, and others. But for some unknown reasons, there haven’t been that many i.MX 8QuadMax single board computer, and AFAICR we only wrote about Seco SBC-C43 board so far. But there’s now another option thanks to iWave Systems iW-Rainbow-G27S Pico-ITX SBC equipped with a choice of i.MX 8QuadMax or i.MX 8QuadPlus processor and up to 8GB RAM. iW-Rainbow-G27S specifications: SoC (one or the other)— NXP i.MX8 with VPU and HiFi4 DSP: NXP i.MX 8QuadMax with 2x Cortex-A72 cores, 4x Cortex-A53 cores, 2x Cortex-M4F real-time […]

January 13, 2020January 13, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Getting Started with Amlogic NPU on Khadas VIM3/VIM3L

Shenzhen Wesion released the NPU toolkit for Khadas VIM3/VIM3L last November, so I decided to try the latest Ubuntu 18.04 image and the NPU toolkit on Khadas VIM3L, before switching to VIM3 for reasons I’ll explain below. I’ve followed two tutorials from the forum and wiki to run pre-built samples and then building a firmware image and samples from source. Khadas VIM3L and VIM3 Have Different & Optional NPUs This will be obvious to anyone who read the specs for Khadas VIM3 and VIM3L that the former comes with a 5 TOPS NPU, while the one in the latter only delivers up to 1.2 TOPS. But somehow, I forgot about this, and assume both had the same NPU making VIM3L more attractive but this type of task, Obviously I was wrong. But the real reason I stopped using Khadas VIM3L can be seen in the photo below. My board is […]