nvidia

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Leveraging GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers using Edge Impulse

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on 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 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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

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 […]

Posted on by Debashis Das - 2 Comments on Waveshare Jetson Nano powered mini-computer features a sturdy metal case

Waveshare Jetson Nano powered mini-computer features a sturdy metal case

Waveshare Launches Jetson Nano Mini Computer

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Mixtile Core 3588E SoM review – Part 2: Ubuntu 22.04, hardware features, RK3588 AI samples, NVIDIA Jetson compatibility

Mixtile Core 3588E SoM review – Part 2: Ubuntu 22.04, hardware features, RK3588 AI samples, NVIDIA Jetson compatibility

Mixtile Core 3588E Ubuntu 22.04 review

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:

I also ran inxi to check a few more details. […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Orbbec Femto Mega 3D depth camera review – Part 1: Unboxing, teardown, and first try

Orbbec Femto Mega 3D depth camera review – Part 1: Unboxing, teardown, and first try

Orbbec Femto Mega review OrbbecViewer

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) […]

Posted on by Tomisin Olujinmi - No Comments on Persee N1 – A modular camera-computer based on the NVIDIA Jetson Nano

Persee N1 – A modular camera-computer based on the NVIDIA Jetson Nano

Orbbec Parsee N1 camera computer kit

The Persee N1 is a modular camera-computer kit recently launched by 3D camera manufacturer, Orbbec. Not too long ago, we covered their 3D depth and RGB USB-C camera, the Femto Bolt. The Persee N1 was designed for 3D computer vision applications and is built on the Nvidia Jetson platform. It combines the quad-core processor of the Jetson Nano with the imaging capabilities of a stereo-vision camera. The Jetson Nano’s impressive GPU makes it particularly appropriate for edge machine learning and AI projects. The company also offers the Femto Mega, an advanced and more expensive alternative that uses the same Jetson Nano SoM. The Persee N1 camera-computer also features official support for the open-source computer vision library, OpenCV. The camera is suited for indoor and semi-outdoor operation and uses a custom application-specific integrated circuit (ASIC) for enhanced depth processing. It also provides advanced features like multi-camera synchronization and IMU (inertial measurement […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on myAGV 2023 four-wheel mobile robot ships with Raspberry Pi 4 or Jetson Nano

myAGV 2023 four-wheel mobile robot ships with Raspberry Pi 4 or Jetson Nano

four wheel automous guided vehicle raspberry pi 4

Elephant Robotics myAGV 2023 is a 4-wheel mobile robot available with either Raspberry Pi 4 Model B SBC or NVIDIA Jetson Nano B01 developer kit, and it supports five different types of robotic arms to cater to various use cases. Compared to the previous generation myAGV robot, the 2023 model is fitted with high-performance planetary brushless DC motors, supports vacuum placement control, can take a backup battery, handles large payloads up to 5 kg, and integrates customizable LED lighting at the rear. myAGV 2023 specifications: Control board Pi model – Raspberry Pi 4B with 2GB RAM Jetson Nano model – NVIDIA Jetson Nano B01 with 4GB RAM Wheels – 4x Mecanuum wheels Motor – Planetary brushless DC motor Maximum linear speed – 0.9m/s Maximum Payload – 5 kg Video Output Pi model – 2x micro HDMI ports Jetson Nano model – HDMI and DisplayPort video outputs Camera Pi model – […]

Exit mobile version
Youyeetoo X1 x86 SBC