BOXER-8120AI is a Compact Jetson TX2 Mini PC for Drones, Robots and Surveillance Applications

Jetson TX2 Mini PC

AAEON has just launched BOXER-8120AI compact mini PC based on NVIDIA Jetson TX2 processor module with 8GB RAM, 32GB storage, and four Gigabit Ethernet ports. The fanless mini PC targets smart surveillance/ security/ parking, unmanned stores, drones and robotic controllers, or any applications that can leverage Jetson TX2’s 256 CUDA cores for A.I. workloads. BOXER-8120AI Jetson TX2 Mini PC specifications: Processor Module – NVIDIA Jetson TX2 with HMP Dual Denver 2 + Quad Arm A57, NVIDIA Pascal GPU with 256 CUDA cores, 4K (HEVC) video encoder, 4K 12-bit video decoder System Memory – 8GB LPDDR4 @ 59.7 GB/s Storage – 32GB eMMC 5.1 flash, MicroSD slot Display Interface – HDMI 2.0 type A Networking – 4x 10/100/1000Base-TX Ethernet USB – 2x USB 3.0 ports, 1x micro USB OTG port Serial – 2x COM ports (DB9) Misc – Power Button, Power LED, 2x SMA Holes, Remote Power On/Off Power Supply – 9~24V DC-in power input via lockable DC jack Dimensions – …

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Autoware is an “All-in-One” Open-source Software for Autonomous Driving

Autoware.AI Software Architecture

All major automotive companies, and some technology companies are all working on autonomous driving with the ultimate goal of achieving level 5 autonomous driving meaning no human intervention is needed at any stage. Development will take some more time, and companies are now competing with closed source software and hardware. But as I browsed through Linaro Connect Bangkok 2019 schedule, I found out there’s an open source autonomous driving software called Autoware.AI. Several “Autoware” projects are managed by the newly founded Autoware Foundation, a non-profit organization created to develop a synergy between corporate development and academic research in order to provide access to autonomous driving technology for everyone: Autoware.AI is the first version built on ROS 1, and Linux, and has been developed as a research and development platform is the second version built on ROS 2, and Linux, with a complete redesign. Autoware.IO is an interface project for Autoware to be extended with proprietary software and third-party libraries for …

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NVIDIA Jetson TX2i Module is Designed for Industrial Environments

Jetson TX2i

NVIDIA Jetson TX2 “Artificial Intelligence Computer” module was announced in March 2017 with a Tegra X2 hexa-core processor, a 256-core Pascal GPU, 8GB RAM, 32GB storage, and support for 4K 60 fps encoding and decoding. But it turns out NVIDIA announced an rugged version of the module dubbed Jetson TX2i designed for reliable operation in harsh industrial environments in March of this year. NVIDIA Jetson TX2 and TX2i are pin-to-pin compatible, and can run the same software, but TX2i has been designed and tested for rougher conditions. Feature Jetson TX2 Jetson TX2i Shock 140G, 2ms 140G, 2ms Vibration 10Hz ~200Hz, 1g & 2g RMS Random: 5g RMS 10 to 500Hz Sinusoidal: 5g RMS 10 to 500Hz Temp Range -25°C – 80°C -40°C – 85°C Humidity 85°C / 85% RH, 168 hours -10°C to 65°C / 95% RH, 240 hours Operating Life 5 Years (GB at 35C: MTBF=1,747,520 hours GF at 35C: MTBF=1,066,851 hours) 10 Years (GB at 45C: 2,505,155 hours …

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Axiomtek eBOX560-900-FL Ubuntu 16.04 Fanless Embedded Computer is Powered by NVIDIA Jetson TX2 Module

Axiomtek has unveiled eBOX560-900-FL fanless embedded computer equipped with an NVIDIA Jetson TX2 module, two Gigabit Ethernet ports,  a HDMI 2.0a port, an NVMe slot, etc. It also supports WiFi and LTE connectivity for gateway applications. The rugged computer runs Ubuntu 16.04, targets  high performance AI workloads such as machine vision, deep learning, and edge computing, and comes with IP40 protection, vibration resistance, and -10 to 50°C temperature range support. Axiomtek eBOX560-900-FL specifications: SoM – NVIDIA Jetson TX2 module with SoC – NVIDIA TX2 hexa-core processor with 2x Denver cores, 4x Arm A57 cores, and a 256-CUDA core NVIDIA Pascal GPU System Memory – 8GB 128-bit LPDDR4 @ 1866 MHz Storage – 32GB eMMC flash Storage – 1x M.2 2280 M-Key slot w/ PCIe 2.0 x4 (supports M.2 NVMe SSD) Video Output – 1x HDMI 2.0 with 4K2K support Connectivity 2x 10/100/1000 Mbps Ethernet (NVIDIA + Intel I210-IT) 802.11ac WiFI + Bluetooth with antennas Optional 3G/LTE modem via mPCIe socket …

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A Closer Look at NVIDIA Jetson Xavier Developer Kit (Video)

NVIDIA Jetson Xavier Developer Kit

NVIDIA unveiled Jetson Xavier module and devkit last month, but the company did not release the full information, and for example we did not get any clear photo of the module and kit. Charbax did shot a video with more details at the time, but NVIDIA has now published more information about their upcoming $1,299 Jetson Xavier Developer Kit, including an introduction video which I’ll  embed at the end of this article. The first thing to understand is that the module is not actually used in the developer kit, and will only used in actual mass-produced products. The main  difference is the thermal solition. The development kit including a large heatsink, while the production module has a thermally conductive plate to let product designer select the most suitable thermal solution for their products. The specifications are still basically the same. For Jetson Xavier (production) module: SoC – NVIDIA Jetson Xavier with 8x 64-bit Armv8.2 processor with 8MB L2 cache and …

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Air-T Artificial Intelligence Radio Transceiver SDR Platform Combines NVIDIA Jetson TX2 and Xilinx Artix-7 FPGA (Crowdfunding)

If often write about low end and cheaper hardware on this blog, but not in this post. Deepwave Digital Air-T (Artificial Intelligence Radio – Transceiver) is a high-end software defined radio platform with continuous frequency coverage from 300 MHz to 6 GHz. The board combines AD9371 RFIC transceiver providing up to 2 x 2 MIMO of 100 MHz of receiving bandwidth, a Xilinx Artix-7 FPGA, and NVIDIA Jetson TX2 module. Air-T hardware specifications & key features: Software-defined Radio Analog Devices 9371 2×2 MIMO transceiver 2 x RX channels (100 MHz each) 2 x TX channels (100 MHz each) Auxiliary RX channels: Observation & Sniffer. Note: Can use either Observation or Sniffer at one time; utilizes one of the RX channels NVIDIA Jetson TX2 for processing 256 NVIDIA CUDA core GPU 6 CPU cores – 2x NVIDIA Denver2, 4x Arm Cortex-A57 8GB RAM 32GB eMMC flash Xilinx Artix-7 FPGA with75k logic cells External Storage – SATA, SD card slot, or via …

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e-con Systems Introduces a 4K Multi-Camera System for NVIDIA Jetson TX1/TX2 Boards

4K Camera Kit NVIDIA Jetson TX1 / TX2

Last year, e-con Systems launched a 360° Camera Kit for NVIDIA Jetson TX1/TX2 boards that featured 6 cameras capable of recording or streaming 1080p30 each in real-time. The company is now back with a multi-camera system with “only”  three cameras, but each can handle uncompressed video up to 4K UHD resolution at 30 fps. Meet e-CAM130_TRICUTX2 kit. Specification for the 4K Multi-camera system: Camera Modules – 3x e-CAM137_CUMI1335_MOD 13.0 MP Camera Module with S-mount lens holder Resolutions & frame rates (YUV422) VGA up to 30 fps (sync), up to 100 fps (async) HD (720p) up to 30 fps (sync), up to 72 fps (async) Full HD (1080p) up to 30 fps (sync), up to 72 fps (async) 4K up to 30 fps 13MP (4192 x 3120) up to 19 fps (async mode only) Baseboard with: 4-lane MIPI CSI-2 interface to connect with the CPU On board PWM generator circuit and external trigger option to trigger all three cameras synchronously Operating Voltage …

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Linux 4.17 Release – Main Changes, Arm & MIPS Architectures

Linus Torvalds released Linux 4.17 last Sunday: So this last week was pretty calm, even if the pattern of most of the stuff coming in on a Friday made it feel less so as the weekend approached. And while I would have liked even less changes, I really didn’t get the feeling that another week would help the release in any way, so here we are, with 4.17 released. No, I didn’t call it 5.0, even though all the git object count numerology was in place for that. It will happen in the not _too_distant future, and I’m told all the release scripts on are ready for it, but I didn’t feel there was any real reason for it. I suspect that around 4.20 – which is I run out of fingers and toes to keep track of minor releases, and thus start getting mightily confused – I’ll switch over. That was what happened for 4.0, after all. As …

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