UniHiker review – A Linux-based STEM education platform with IoT and AI support, Micro:bit edge connector

UniHiker Review

DFRobot’s UniHiker is a STEM educational platform that was originally launched in China, but now UniHiker is now available worldwide through the DFRobot shop. The company has sent us a UniHiker sample for review, so let’s unpack the kit and learn how to use the UniHiker platform. The main component of the kit is the Linux-powered UniHiker board which features a 2.8-inch resistive touchscreen display and a BBC Micro:bit edge connector, so we can use expansion boards for the Micro:bit board. Let’s start unboxing it together. UniHiker unboxing DFRobot sent us the UniHiker platform by DHL. The package is a familiar-looking DFRobot box in orange color and comes with a plastic box to safely store the UniHiker board and accessories after use. The plastic box contains another plastic box with the board, some 3-pin and 4-pin cables for Gravity ports, and a USB Type-C cable. The UniHiker is like a […]

Amlogic C302X, C305X, and C308X Arm SoCs target Smart IP cameras

Amlogic C302X C305X C308X

Amlogic C302X and C305X are dual-core Arm Cortex-A35 processors, while the C308X is a dual-core Cortex-A55 processor with all SoCs designed for Smart IP cameras with the integration of an AI accelerator up to 4 TOPS, and 1080p30 H.264/H.265 video encoding. I was first informed about Amlogic C302/C305/C308 SoCs for Smart cameras as far back as June 2019, or about four years ago, but there wasn’t enough information to write anything about those at the time. But I’m now seeing more details about the camera SoCs, now named C302X, C305X, and C308X, so it’s a good time to have a closer look. Amlogic C302X Amlogic does not have a product page for this model, so I need to rely on a recent commit in the Linux Kernel mainline list to extra some information. The Amlogic S302X is a dual-core Cortex-A35 processor found in the Amlogic AW409 development board (likely internal […]

Firefly’s Rockchip RK3588 SBCs are now available with 32GB RAM

ROC-RK3588-PC 32GB RAM

The Rockchip RK3588 datasheet clearly states the processor supports up to 32 GB RAM, and many vendors claimed their board supports up to 32GB RAM at launch, but none were to be found once you accessed a shop, and the maximum was 16GB RAM so far, likely due to availability and the high price of of the two 16GB RAM chips needed to get 32GB of RAM. But Firefly has now discreetly started to sell boards with 32GB RAM including the ROC-RK3588-PC, ROC-RK3588S-PC, and ITX-3358J mini-ITX motherboard. I’ve just noticed I never covered the former, so I’ll have a closer look at it today. Firefly ROC-RK3588S-PC specifications: SoM – Core-3588J system-on-module SoC – Rockchip RK3588 octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores, Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan 1.1 support, 6 TOPS NPU, and an 8Kp60 […]

i-Pi SMARC 1200 (MediaTek Genio 1200) devkit tested with a Yocto Linux image

i-Pi SMARC 1200 Yocto Linux glmark2 benchmark

Last weekend I received ADLINK’s i-Pi SMARC 1200 development kit powered by MediaTek Genio 1200 Octa-core Cortex-A78/A55 AIoT processor, checked out the hardware and wanted to install the Yocto Linux image but stopped in my tracks because it looked like I had to install Ubuntu 18.04 first in a Virtual Machine or another computer. But finally, the documentation has been updated to clarify “Ubuntu 18.04 or greater” is required, and I had no problem flashing the image from a Ubuntu 22.04 laptop after installing dependencies and tools as follows:

That’s it for the tools. Eventually, the development kit will support three images: Yocto Linux, Android 13 (July 2023), and Ubuntu 20.04 (Q3 2023). So that means only the Yocto Linux image is available from the download page at this time, and that’s what I’ll be using today. We’ll need to connect the micro USB to USB cable between the […]

NVIDIA Jetson AGX Orin Industrial offers ECC memory, extended temperature range, improved robustness

NVIDIA Jetson AGX Orin Industrial

NVIDIA has recently introduced the Jetson AGX Orin Industrial module that comes with an extended temperature range, operating lifetime, shock and vibration specifications, as well as support for error correction code (ECC) memory, and delivers up to 248 TOPS of AI performance with power configurable between 15-75 W. The industrial-grade system-on-module is based on the Jetson AGX Orin 64GB module but with lower operating frequencies to enable a longer operating lifetime and improved endurance. It’s form-factor and pin-compatible with Jetson AGX Orin, and NVIDIA says it delivers more than eight times the AI performance of the 30 TOPS Jetson AGX Xavier Industrial introduced in 2021, but does not integrate Cortex-R5F cores. NVIDIA Jetson AGX Orin Industrial specifications: CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.0 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2,048 NVIDIA CUDA cores and 64 Tensor […]

A first look at i-Pi SMARC 1200 (Genio 1200) development kit

i-Pi SMARC 1200 serial console

ADLINK Technology’s i-PI SMARC 1200 is an industrial prototyping kit for AI IoT and Robotics based on a SMARC 2.1 compliant LEC-MTK-I12000 system-on-module (SoM) powered by the MediaTek Genio 1200 (MT8395) octa-core Cortex-A78/A55 AIoT processor with a 4.8 TOPS AI processor. The company sent me a sample for evaluation and review, and in this first post, I’ll go through an unboxing and how to boot the system with the supported Yocto Linux or Ubuntu. i-Pi SMARC 1200 unboxing The i-Pi SMARC 1200 may be destined for industrial users, but it still comes with a neat retail package. The “i-Pi LEC-MTK-I1200-44-64G/EU” kit features a CPU module with 4GB LPDDR4 memory and 64GB UFS storage. The package includes the board itself preassembled in a desktop frame, a Quick Start Guide, a 19V/2.37A (45W) power adapter with an EU power cord, a micro USB to USB cable for debugging, and two bits for […]

Axiomtek AIE110-XNX is an affordable Edge AI Developer Kit based on NVIDIA Jetson Xavier NX

Axiomtek AIE110-XNX devkit

Axiomtek AIE110-XNX Edge AI developer kit provides up to 21 TOPS of accelerated AI computing performance thanks to an NVIDIA Jetson Xavier NX system-on-module with a 6-core NVIDIA Carmel ARM v8.2 64-bit CPU and a 384-core NVIDIA Volta GPU with 48 Tensor Cores. The new devkit serves as a relatively low-cost cost development kit with no minimum order, instead of getting full-feature embedded computers such as the company’s AIE900-XNX Edge AI system also based on the same Jetson Xavier NX module. Axiomtek AIE110-XNX specifications: NVIDIA Jetson Xavier NX system-on-module with CPU – 6-core NVIDIA Carmel Armv8.2 64-bit CPU with 6 MB L2 + 4 MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI Accelerator – 2x NVDLA System Memory – 8GB 128-bit LPDDR4x onboard Storage – 16GB eMMC flash Storage – M.2 Key M 2280 with PCIe x4 NVMe SSD slot, microSD slot Video Output […]

Khadas VIM4 Amlogic A311D2 SBC gets 3.2 TOPS NPU

Khadas VIM4 Amlogic A311D2-N0D SBC

First introduced in 2022, the Khadas VIM4 SBC will now sell with an Amlogic A311D2-N0D Cortex-A73/A53 processor equipped with a 3.2 TOPS NPU, and the version without AI accelerator will be phased out. I reviewed the Khadas VIM4 with both Android 11 and Ubuntu 22.04 last year, and really liked the user experience notably thanks to the OOWOW system that makes it really easy to try different operating systems downloaded from Khadas servers, although some features like support for GPU acceleration still needed to be worked on at the time. One thing missing compared to the previous generation Khadas VIM3 SBC was an on-chip NPU to accelerate AI workloads, and the latest revision of the Amlogic A311D2 processor (with N0D suffix) fixes that on the Khadas VIM4. “Khadas VIM4 with NPU” specifications: SoC – Amlogic A311D2-N0D octa-core processor with 4x Arm Cortex-A73 cores @ up to 2.2 GHz and 4x […]