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 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
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 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 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 […]
Waveshare Jetson Nano powered mini-computer features a sturdy metal case
Waveshare has launched the Jetson Nano Mini Kit A, a mini-computer kit powered by Jetson Nano. This kit features the Jetson Nano Module, a cooling fan, and a WiFi module, all inside a sturdy metal case. The mini-computer is built around Nvidia’s Jetson platform housing the Jetson Nano module and features multiple interfaces, including USB connectors, an Ethernet port, an HDMI port, CSI, GPIO, I2C, and RS485 interfaces. It also has an onboard M.2 B KEY slot for installing either a WiFi or 4G module and is compatible with TensorFlow, and PyTorch which makes it well-suited for various AI applications. Waveshare Mini-Computer Specification: GPU – NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores CPU – Quad-core ARM Cortex-A57 processor @ 1.43 GHz Memory – 4 GB 64-bit LPDDR4 1600 MHz; 25.6 GB/s bandwidth Storage – 16 GB eMMC 5.1 Flash Storage, microSD Card Slot Display Output – HDMI interface with […]
Mixtile Core 3588E SoM review – Part 2: Ubuntu 22.04, hardware features, RK3588 AI samples, NVIDIA Jetson compatibility
We’ve already had a look at the Mixtile Core 3588E NVIDIA Jetson Nano/TX2 NX/Xavier NX/Orin Nano compatible Rockchip RK3588 SO-DIMM system-on-module in the first part of the review with an unboxing and first boot with an Ubuntu 22.04 OEM installation. I’ve now had more time to play with the devkit comprised of a Core 3588 module in 16GB/128GB configuration and a Leetop A206 carrier board with low-level features testing, some benchmarks, multimedia testing with 3D graphics acceleration and video playback, some AI tests using the built-in 6 TOPS NPU and the RKNPU2 toolkit, and finally I also tried out the system-on-module with the carrier board from an NVIDIA Jetson Nano developer kit. Ubuntu 22.04 System info We had already checked some of the system information in the first part of the Mixtile Core 3588E review, but here’s a reminder:
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jaufranc@Mixtile-RK3588E:~$ uname -a Linux Mixtile-RK3588E 5.10.160-rockchip #18 SMP Wed Dec 6 15:11:42 UTC 2023 aarch64 aarch64 aarch64 GNU/Linux jaufranc@Mixtile-RK3588E:~$ cat /etc/lsb-release DISTRIB_ID=Ubuntu DISTRIB_RELEASE=22.04 DISTRIB_CODENAME=jammy DISTRIB_DESCRIPTION="Ubuntu 22.04.3 LTS" jaufranc@Mixtile-RK3588E:~$ df -h Filesystem Size Used Avail Use% Mounted on tmpfs 1.6G 2.7M 1.6G 1% /run /dev/mmcblk0p2 113G 7.5G 101G 7% / tmpfs 7.7G 0 7.7G 0% /dev/shm tmpfs 5.0M 8.0K 5.0M 1% /run/lock tmpfs 4.0M 0 4.0M 0% /sys/fs/cgroup /dev/mmcblk0p1 512M 101M 411M 20% /boot/firmware tmpfs 1.6G 60K 1.6G 1% /run/user/0 tmpfs 1.6G 76K 1.6G 1% /run/user/130 tmpfs 1.6G 68K 1.6G 1% /run/user/1000 jaufranc@Mixtile-RK3588E:~$ free -mh total used free shared buff/cache available Mem: 15Gi 601Mi 13Gi 47Mi 1.4Gi 14Gi Swap: 2.0Gi 0B 2.0Gi |
I also ran inxi to check a few more details. […]
Orbbec Femto Mega 3D depth camera review – Part 1: Unboxing, teardown, and first try
Orbbec sent us a Femto Mega 4K RGB and 3D depth and camera for review. The camera is powered by an NVIDIA Jetson Nano module, features Microsoft ToF technology, and outputs RGB, TOF, and IR data through a USB-C port or a gigabit Ethernet port. I’ll start the two-part with an unboxing, a teardown, and a quick try with the OrbbecViewer program on Ubuntu 22.04 in the first part of the review because checking out the software and SDK in more detail in the second part later on. Femto Mega depth and RGB camera unboxing I received the camera in a cardboard package showing the camera model and key features: “ORBBEC Femto Mega DEPTH+RGB CAMERA”. The package’s content is comprised of a USB-C cable to connect to the host, the camera, and a 12V/2A power adapter. The front side of the camera features the RGB camera sensor, the TOF (Time-of-Flight) […]