Khadas Mind Graphics NVIDIA RTX 4060 Ti GPU dock for the Mind mini PC is now available for $999

Khadas Mind Graphics Dock

The Khadas Mind Graphics is a dock for the Khadas Mind Raptor Lake mini PC that integrates an NVIDIA Geforce RTX 4060 Ti GPU and enables users to run high-end games, edit videos, design graphics, and experiment with AI while keeping the portability and small size of a mini PC. As we’ve seen in our reviews, mini PCs now match the performance of larger machines in almost all aspects with tools like PassMark Performance showing higher-end models’ CPU, memory bandwidth, and storage in the top 10% or 20% of systems. The exception is 3D graphics performance because integrated GPUs can’t match the performance of higher-end graphics cards. The Khadas Mind Graphics solves that by adding an NVIDIA Geforce RTX 40601 Ti GPU to the Khadas Mind mini PC through its Mind Link connector also bringing out other connectors such as 2.5GbE, USB, SD card, etc… Khadas Mind Graphics specifications: Graphics […]

High Torque Robotics Mini π is a bipedal robot powered by an Orange Pi 5 SBC

High Torque Robotics mini Pi bipedal robot

High Torque Robotics’ Mini π is a 54cm high bipedal robot that can walk and dance with two legs and leverages the Orange Pi 5 SBC’s features such as the 6 TOPS AI accelerator in the Rockchip RK3588S processor. The robot offers 12 degrees of freedom (DOF) and can run, jump, and even flip thanks to its twelve join motors that were developed by the company. The Mini π is designed for locomotion algorithm research and education and supports ZMP (zero moment point), MPC (Model Predictive Control), reinforcement learning locomotion control algorithms, and ROS SLAM navigation features.   Mini π bipedal robot highlights: SBC – Orange Pi 5 RK3588S single board computer Controller – Custom-design “high-performance underlying controller” using 4x CAN FD communication DOF – 6 DoF per leg, or 12 in total Joint motors 8x HTDM-5047-36-NE with gear ratio: 36, 16Nm peak torque 4x HTDM-4438-32-NW with gear ratio: 32, […]

Cincoze DS-1402 review: Part 3: Ubuntu 24.04 tested on an Intel Core i9-12900E embedded system

Cincoze DS-1402 Ubuntu 24.04 review

In part one of the Cincoze DS-1402 review, I checked out the hardware of the modular rugged computer before testing the Intel Core i9-12900E embedded computer with Windows 11 Pro in the second part, and I’ve now had time to test the Cincoze DS-1402 embedded system with Ubuntu 24.04. I’ve tested most features in Linux, ran some benchmarks, evaluated the gigabit Ethernet performance of some of the ten Ethernet ports, checked CPU temperature under a stress test with and without the fan, measured power consumption, and more. Ubuntu 24.04 system information I installed Ubuntu 24.04 with the official x86_64 ISO in dual boot configuration with Windows 11 Pro. The installation process was smooth, and I have nothing specific to report here. Going to the Settings->About window confirms we have a CINCOZE-DS-1400 system (DS-1402 is part of the DS-1400 family) with a 24-thread 12th Gen Intel Core i9-12900E processor and 64GB […]

Cincoze DS-1402 review – Part 2: An Intel Core i9-12900E embedded computer tested with Windows 11 Pro

Cincoze DS-1402 Embedded Computer Review Windows 11

I’ve already checked out the hardware of the Cincoze DS-1402 modular embedded computer in the first part of the review with an unboxing and teardown of the Intel Core i9-12900E computer that ships with expansions such as an NVIDIA GTX 1630 graphics card held in place with a patented solution and two CMI expansion modules with four gigabit Ethernet ports each. I’ve now had more time to test the Cincoze DS-1402 with Windows 11 Pro, so I’ll report my experience with the system in the second part of the review checking out system information, testing features, running benchmarks, evaluating networking and storage performance, testing the thermal design, and taking measurements for fan noise and power consumption. I’ll also compare some of the second to the GEEKOM XT12 Pro mini PC powered by an Intel Core i9-12900H SoC since embedded SKUs – like the Core i9-12900E – are usually slightly slower […]

NDAA-compliant NVIDIA Jetson Orin NX and Nano bundles target drones

ARK Jetson Orin Nano NDAA Bundle

ARK Electronics has recently introduced NDAA-complaint NVIDIA Jetson Orin NX and Nano bundles designed for drones with the company’s Jetson PAB (Pixhawk Autopilot Bus) carrier board, an ARKV6X flight controller, and an SSD preloaded with NVIDIA Jetpack and the ARK UI. I’ve come across the board following a post on X pointing to an article on Tom’s Hardware about the US passing a bill called “Countering CCP Drones Act” that would effectively ban DJI drones in the US.  DJI is supposed to have a 90% market share of the U.S. hobby market, a 70% market share of the industrial market, and an over 80% market share of the first responder market, so not everybody will be happy if the bill passes in the senate and becomes enacted by the US president. But US companies making NDAA-compliant hardware and drones may bit mind, and that’s how I discovered ARK Electronics NVIDIA […]

Leveraging GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers using Edge Impulse

Edge Impulse using NVIDIA TAO and GPT-4o LLM to run model on Arduino Nicla Vision

We previously tested Edge Impulse machine learning platform showing how to train and deploy a model with IMU data from the XIAO BLE sense board relatively easily. Since then the company announced support for NVIDIA TAO toolkit in Edge Impulse, and now they’ve added the latest GPT-4o LLM to the ML platform to help users quickly train TinyML models that can run on boards with microcontrollers. What’s interesting is how AI tools from various companies, namely NVIDIA (TAO toolkit) and OpenAI (GPT-4o LLM), are leveraged in Edge Impulse to quickly create some low-end ML model by simply filming a video. Jan Jongboom, CTO and co-founder at Edge Impulse, demonstrated the solution by shooting a video of his kids’ toys and loading it in Edge Impulse to create an “is there a toy?” model that runs on the Arduino Nicla Vision at about 10 FPS. Another way to look at it […]

SBC Case Builder v3.0 can create thousands of cases for popular SBCs and standard motherboards (mini-ITX, Pico-ITX, NUC…)

SBC Case Builder V3.0

SBC Case Builder V3.0 case design utility has just been released with the ability to create over 1,000 standard cases – not including customization – for popular SBCs from Raspberry Pi, Hardkernel, Orange Pi, Radxa, and others, as well as standard motherboards following Mini-ITX, Pico-ITX, NUC, Nano-ITX, etc.., and SBC adapters following these standards, meaning you could install a Raspberry Pi 5 into a mini-ITX case if needed. SBC Case Builder started as a command line utility for designing DIY case for SBCs relying on OpenSDAD in April 2022, but Edward Kisiel (hominoids) quickly released version 2 with a GUI in October or the same, and has now further improved the utility with the release of SBC Case Builder v3.0. Version 3.0 comes with many improvements but the main focus was to reuse existing and new PC standard form factor cases by creating SBC adapters and custom I/O Shields since […]

Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse NVIDIA TAO Models

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]

EmbeddedTS embedded systems design