Nvidia Tegra X1 Category - CNX Software

April 18, 2024April 18, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

AAEON BOXER-8645AI Jetson AGX Orin-powered embedded AI system supports up to 8 GMSL2 cameras

AAEON BOXER-8645AI is an embedded AI system powered by NVIDIA Jetson AGX Orin that features eight GMSL2 connectors working with e-con Systems’ NileCAM25 Full HD global shutter GMSL2 color cameras with up to 15-meter long cables. The BOXER-8645AI is fitted with the Jetson AGX Orin 32GB with 32GB LPDDR5 and 64GB flash and up to 200 TOPS of AI performance. Other features include M.2 NVMe and 2.5-inch SATA storage, 10GbE and GbE networking ports, HDMI videos, and a few DB9 connectors for RS232, RS485, DIO, and CAN Bus interfaces. The embedded system takes 9V to 36V wide DC input from a 3-pin terminal block. AAEON BOXER-8645AI specifications: AI accelerator module – NVIDIA Jetson AGX Orin 32GB CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz […]

March 22, 2024March 21, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Smartcam T1205 – An IP65-rated AI camera with NVIDIA Jetson Orin Nano 40 TOPS system-on-module

SmartCow’s SmartCam T1025 is a powerful AI camera based on the NVIDIA Jetson Orin Nano 8GB system-on-module with 40 TOPS of AI performance. The camera features M12 connectors for gigabit Ethernet, power, and serial interface, and has been certified with an IP65 ingress protection rating for outdoor operation. The camera also comes with 256GB NVMe SSD for the OS (Jetpack 6.0) and data storage and supports 4G LTE and GPS connectivity through an M.2 module. The company also introduced the SmartCam T1023 model compatible with NVIDIA Jetson Nano and Jetson TX2 NX for applications that do not require as much processing power and/or memory as provided by the Jetson Orin Nano AI camera. SmartCam T1025 specifications: System-on-module – NVIDIA Jetson Orin Nano 8GB CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.5 GHz with 1.5 MB L2 + 4 MB L3 GPU – 1024-core NVIDIA Ampere GPU @ 625 […]

March 15, 2024 by Debashis Das - 2 Comments

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 […]

January 31, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Femto Mega 3D depth camera review – OrbbecViewer and Orbbec SDK in Ubuntu 22.04, body tracking in Windows 11

We had a quick look at the Orbbec Femto Mega 3D depth and 4K RGB camera at the end of last year with a look at the hardware and a quick try with the OrbbecViewer program in Ubuntu 22.04. I’ve now had the time to test the OrbbecViewer in more detail, check out the Orbbec SDK in Linux and various samples, and finally test the Femto Mega with a body tracking application using Unity in Windows 11. A closer look at OrbbecViewer program and settings As noted in the first part of the review, the OrbbecViewer program provides color, depth, and IR views for the camera. Let’s go into details for each. The Color mode would be the same as your standard USB color camera. The Femto Mega supports resolution from 1280×720 at 30 fps to 3840×2160 at 25 fps using MJPG, H.264, H.265, or RGB (converted from MJPG). We […]

December 22, 2023January 17, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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) […]

December 20, 2023 by Tomisin Olujinmi - No Comments

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

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 […]

November 30, 2023November 30, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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 – […]

October 19, 2023October 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Generative AI on NVIDIA Jetson Orin, Jetpack 6 SDK to support multiple OSes

NVIDIA has had several announcements at ROSCon 2023 related to robotics & embedded with highlights including generative AI on the NVIDIA Jetson Orin module and the Jetpack 6 SDK will be released next month (November 2023) with supports for Ubuntu as usual, but also other operating systems and platforms such as Debian, Yocto, Wind River, Redhawk RTOS, and Balena. Generative AI on NVIDIA Jetson Orin There’s been a lot of hype in the last year about generative AI thanks to services such as ChatGPT, Google Bard, or Microsoft Bing Chat. But those rely on closed-source software that runs on powerful servers in the cloud. As we noted in our article about the “AI in a box” offline LLM solution there are some open-source projects such as Whisper speech-to-text model and Llama2 language models that could be run on embedded hardware at the edge, but as noted by some readers platforms […]