Lindenis V536 SoM & SBC Targets 4K Camera Applications

Lindenis V536 Specifications

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 Power Supply – 5V/2A via micro USB port or castellated …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

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

NPi-STM32MP157C

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 DVP camera interface Networking & Wireless Connectivity 1x Gigabit Ethernet …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

MNT Reform 2 Open Source DIY Arm Linux Modular Laptop Coming Soon (Crowdfunding)

MNT Reform 2

We first covered MNT Reform in fall of 2017, when it was a prototype for a DIY and modular laptop powered by NXP i.MX 6QuadPlus processor, and with plans to eventually use i.MX 8 hexa-core processor. Last year they designed several beta units of Reform to get feedback for a dozen users, and have now fully redesigned the laptop based on an NXP i.MX 8M system-on-module with the crowdfunding campaign expected to go live in February on Crowd Supply. MNT Reform 2 specifications: SoM – Boundary Devices Nitrogen8M SOM with SoC – NXP i.MX 8MQuad quad-core Cortex-A53 processor @ 1.5 GHz, 1x Arm Cortex-M4F real-time core Vivante GC7000Lite 3D GPU System Memory – 4GB LPDDR4 Storage – Probably none Networking – Atheros Ethernet MAC chip (AR8035) 200 pin SO-DIMM edge connector exposing USB 3.0, PCIe, MIPI DSI, etc… Dimensions – 67.6mm x 48.4mm Motherboard Storage – SD card slot, M.2 SSD support Video Output Texas Instruments SN65DSI86 MIPI DSI to …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

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

Jetson Nano Developer Kit B01

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 (H.264/H.265) Dimensions – 70 x 45 mm B01 Baseboard 260-pin …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

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

NanoPi R2S Dual Gigabit Ethernet SBC

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 Slot, SPI flash footprint Connectivity 1x Gigabit Ethernet (WAN) up …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Krescue for Khadas VIM Boards Enables Backup/Restore of eMMC flash, Access to the Terminal, and More

Krescue

Sometimes things go wrong, and you need a way to recover your system, either by restoring a backup or accessing your system to check it out and hopefully fix the issue. Krescue is a minimal firmware image (21MB compressed) for Khadas VIM boards designed to do just that, and more. Some of the highlights of Krescue firmware image include: Full eMMC flash dump/backup to Micro SD card, USB, or LAN host. Restore the compressed dump (.img.gz) into an eMMC on the same device or another device Rescue shell for expert users. Shell access via UART, USB network, and Web browser You’ll find Krescue for Khadas VIM1, VIM2, VIM3 and VIM3L on Khadas website which can be flashed to a MicroSD card using balenaEtcher. You can then insert the card into your board, and boot into maskROM mode to access the menu above, and control it with the IR remote control or USB keyboard. You can see the minimal OS in …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Ingenic X1830 IoT Processor Features a 32-bit MIPS Core, 128MB DDR2 RAM

Ingenic X1830 IoT Application Processor

Ingenic is a silicon vendor based in Beijing, China and known for its MIPS Xburst processors such as JZ4780 dual-core SoC or T10 video processor. It’s been a while (a few years) since we last covered new processors from the company, but it appears the company launched another MIPS SoC for IoT applications last year. Meet Ingenic X1830 processor. X1830 specifications: CPU – MIPS32 XBurst-1 core @ up to 1.5 GHz with SIMD engine, 32KB instruction cache, 32KB data cache, 128KB unified L2 cache Memory – 128MB DDR2 in package Storage I/F – 2x SD/eMMC controllers, and Quad SPI (QSPI) VPU H264 Encoder up to 1080p80 or 1560×1600 resolution JPEG compressing/decompressing up to 70Mega-pixels per second ISP 12-bit RAW or up to 24-bit RGB Max input resolution 2688×2048 @20fps, 1080p @60fps,720p @120fps 2-D and 3-D noise reduction filter, advanced demosaic, color processing, lens shading, defog, glare, static/dynamic defect pixel… Image post-processor (IPU) Data format Input – ARGB,RGB,NV12/NV21 Output – ARGB,RGB,NV12/NV21,HSV …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

MediaTek Rich IoT SDK v20.0 Released, Pumpkin i500 SBC Announced

MediaTek i500 AI Vision Platform

MediaTek Rich IoT SDK v20.0 is Available MediaTek has announced its Rich IoT SDK v20.0  is already available for the i300 and i500 chipset series. The SDK was developed in collaboration with BayLibre, the French developer of Linux and Android embedded systems software, which is also known for helping mainlining Amlogic processors to Linux. The i300A, i300B, and i500 hardware platforms are supported and the features are focused on IoT and the emerging generation of smart devices. Supported OS’es and Test Applications The Rich IoT SDK v20.0 supports Yocto 3.0 Linux and Android 10 to let third-party customers and members of the MediaTek Ecosystem test Computer Vision algorithms, AI models and custom software on top of the base layer. Updates and Maintenance The SDK is receiving updates quarterly, with security updates and patches being delivered over-the-air (OTA) on a regular basis. The chipset series has a timeline for updates to features and security for device manufacturers to leverage the latest …

Support CNX Software – Donate via PayPal or become a Patron on Patreon