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Mekotronics D58 embedded computer features 6 HDMI outputs for video walls or mirrored displays

Mekotronics D58 is a Rockchip RK3588 embedded computer running Android or Linux with six HDMI outputs for 4K video walls or multiple mirrored displays that should be mostly useful for digital signage applications. The system comes with up to 16GB RAM and 128GB eMMC flash, supports NVMe and SATA storage, comes with two GbE ports, WiFi 6 connectivity, optional 4G LTE and GNSS, one 4K-capable HDMI input port, four USB ports, some DB9 connectors for serial communication (RS232, RS485, TTL), and a terminal block with GPIOs and CAN bus. Mekotronics D58 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76  cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2 Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – […]

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Linux 6.8 release – Notable changes, Arm, RISC-V, and MIPS architectures

Linus Torvalds has just announced the release of Linux 6.8 on the Linux kernel mailing list: So it took a bit longer for the commit counts to come down this release than I tend to prefer, but a lot of that seemed to be about various selftest updates (networking in particular) rather than any actual real sign of problems. And the last two weeks have been pretty quiet, so I feel there’s no real reason to delay 6.8. We always have some straggling work, and we’ll end up having some of it pushed to stable rather than hold up the new code. Nothing worrisome enough to keep the regular release schedule from happening. As usual, the shortlog below is just for the last week since rc7, the overall changes in 6.8 are obviously much much bigger. This is not the historically big release that 6.7 was – we seem to […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
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Xtherm II TS2+ review – A 256×192 thermal imager tested with an Android smartphone

Shortly after I wrote about the Mustool MT13S 2-in-1 thermal imager and multimeter, Xinfrared asked me if I wanted to review the Xtherm II TS2+ thermal imager for smartphones. They offer versions that work for Android or iOS smartphones, so the company sent me the Android version of the Xtherm II TS2+ for review. After listing the key features and specifications, I’ll go through an unboxing, and report my experience using the thermal imager with the OPPO A98 5G smartphone running Android 14. Xtherm II TS2+ specifications Minimum focus – 8mm Resolution – 256×192 Pixel Pitch – 12μm FOV – 44.9° x 33.4° Image Frame Rate – 25Hz NETD (Noise Equivalent Temperature Difference) – ≤40mK@25°C, F#1.0 MRTD (Minimum Resolvable Temperature Difference) – ≤500mK@25°C,F#1.0 Temperature Range Measurements- -20°C ~ +450°C with ±2°C or ±2% reading accuracy Operating – -20°C ~ +50°C Temperature Correction – Manual/automatic Power Consumption – <350mW Dimensions – […]

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Panthor open-source driver for Arm Mali-G310, Mali-G510, Mali-G610, and Mali-G710 GPUs to be part of Linux 6.10

Collabora has been working on the Panthor open-source GPU kernel driver for the third-generation Arm Valhall GPU (Arm Mali-G310, Mali-G510, Mali-G610, and Mali-G710) for around two years, and the code has just been merged in drm-misc meaning it should be part of the upcoming Linux 6.10 release sometime in July 2024. Many regular readers must already be familiar with the Panfrost open-source driver for Arm Mali GPUs as we’ve covered its development progress over the years. Panthor is a new kernel driver specific to the 3rd gen Valhall GPUs that still relies on the Panfrost driver residing in userspace, as explained by Boris Brezillon from Collabora. Furthermore, the existing Gallium “Panfrost” driver in Mesa has also received a merge request adding support for those GPUs (10th gen Arm Mali = 3rd gen Arm Mali Valhall) meaning popular targets such as the Rockchip RK3588 SoC with an Arm Mali-G610 MP4 GPU […]

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Banana Pi BPI-M6 SBC features SenaryTech SN3680 quad-core Cortex-A73 AI processor

Banana Pi BPI-M6 is a credit-card single board computer based on SenaryTech SN3680 SoC comprised of a quad-core Arm Cortex-A73 processor, an Arm Cortex-M3 real-time core, an Imagination GE9920 GPU, and an NPU delivering up to 6.75 TOPS. The board ships with 4GB LPDDR4 RAM and 16GB eMMC flash. Its layout is fairly similar to the one of the Raspberry Pi 4 with four USB ports, Gigabit Ethernet, a 40-pin GPIO header, a USB Type-C port for power, and two micro HDMI ports. However, only one of those is for HDMI output, as the second is for HDMI input, and there’s also an M.2 Key-E socket for expansion. Banana Pi BPI-M6 specifications: SoC – SenaryTech SN3680 (also known as Synaptics VS680) with CPU – Quad-core Arm Cortex-A73 processor up to 2.1GHz MCU – Arm Cortex-M3 real-time security core @ 250MHz GPU – Imagination PowerVR Series9XE GE9920 GPU VPU – 4Kp60 […]

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Vivid Unit is a low-profile Rockchip RK3399 SBC with an integrated touchscreen display

UUGear’s Vivid Unit is a low-profile SBC with an integrated 5.5-inch 1280×720 touchscreen display powered by the older Rockchip RK3399 hexa-core Cortex-A72/A53 SoC coupled with 4GB RAM and a 32GB eMMC flash. The board also comes with gigabit Ethernet and WiFi 4 connectivity, supports M.2 NVMe storage, offers HDMI output and a MIPI CSI camera input,  integrates a speaker and a stereo microphone, and allows for expansion through a 40-pin GPIO header and other headers for ADC and USB. Vivid Unit specifications: SoC – Rockchip RK3399 CPU – Hexa-core big.LITTLE processor with 2x Arm Cortex-A72 cores up to 1.8GHz, 4x Arm Cortex-A53 cores up to 1.4GHz GPU – Arm Mali-T860MP4 GPU AI accelerator – 6 TOPS NPU System Memory – 4GB LPDDR4 Storage 32GB eMMC flash M.2 socket for NVMe SSD Display – 5.5-inch touchscreen display with 1280×720 resolution Video Output – HDMI port Camera Input – MIPI CSI camera […]

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Ambarella N1 SoC brings Generative AI to the edge for video analytics, robotics, industrial applications

Ambarella has been working on adding support for generative AI and multi-modal large language models (LLMs) to its AI Edge processors including the new 50W N1 SoC series with server-grade performance and the 5W CV72S for mid-range applications at a fraction of the power-per-inference of leading GPU solutions. Last year, Generative AI was mostly offered as a cloud solution, but we’ve also seen LLM running on single board computers thanks to open-source projects such as Llama2 and Whispter, and analysts such as Alexander Harrowell, Principal Analyst, at Omdia expect that “virtually every edge application will get enhanced by generative AI in the next 18 months”. The Generative AI and LLM solutions running on Ambarella AI Edge processors will be used for video analytics, robotics, and various industrial applications. Compared to GPUs and other AI accelerators, Ambarella provides AI Edge SoC solutions that are up to 3x more power-efficient per generated […]

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NanoPC-T6 LTS SBC adds USB ports, 32MB SPI flash, drops 4G LTE support

NanoPC-T6 LTS is an update to the Rockchip RK3588-powered NanoPC-T6 SBC introduced in May 2023, which removes the mini PCIe socket and SIM card slot for 4G LTE connectivity, but adds two USB 2.0 ports, a USB-C debug port, a 10-pin header with UART and USB 2.0, and comes with 32MB SPI flash by default. The single board computer is offered with up to 16GB RAM and 256GB eMMC flash and also features M.2 sockets for NVMe storage and a wireless module, two 2.5GbE RJ45 ports, two HDMI 2.1 output ports, one HDMI 2.0 input port, MIPI DSI and CSI interfaces, and a 40-pin GPIO header for expansion. NanoPC-T6 LTS specifications with changes in bold or strikethrough: SoC – Rockchip RK3588 CPU – Octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, 4x Cortex-A55 cores @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications