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&reComputer J4012-Edge AI (16GB)，NVIDIA Jetson Orin NX 16G運算模組 12V 供電 + 128G SSD
SKU 110110145
【清單】：
- NVDIA Jetson Orin™ NX 16GB x1
- Seeed carrier board (reComputer J401) 底板 x1
- 128GB NVMe SSD x 1
- Aluminum heatsink with fan風扇 x1
- Aluminum case (black) 外殼 x1
- 12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cord not included) x1
【Features】特徵：
- Brilliant AI Performance for production: on-device processing with up to 100 TOPS AI performance with low power and low latency
- Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin™ NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere
尺寸緊湊，尺寸為 130mm x120mm x 58.5mm，包括 NVIDIA Jetson Orin™ NX 16GB 量產模組、帶散熱器的冷卻風扇、外殼和電源供應器。支援桌面、壁掛，適合任何地方 - Expandable with rich I/Os: 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO.
4 個 USB 3.2、HDMI 2.1、2 個 CSI、1 個用於 GbE 的 RJ45、M.2 Key E、M.2 Key M、CAN 和 GPIO。 - Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack™ 5.1.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms
在隨附的 128GB NVMe SSD、Linux OS BSP、128GB SSD 上預先安裝 NVIDIA JetPack™ 5.1.1 的 Jetpack，支援 Jetson 軟體以及領先的 AI 框架和軟體平台 - Comprehensive certificates: FCC, CE, RoHS, UKCA
reComputer J4012 is built with Jetson Orin NX 16GB a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.
The full system includes one NVIDIA Jetson Orin™ NX 16GB production module, a heatsink, and a power adapter. reComputer J4012 is preinstalled with JetPack 5.1.1 on the included 128GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.
If you are looking for the version without power adapter, please check out reComputer J4012(w/o power adapter)／不含電源轉接器的版本，請查看reComputer J4012（不含電源轉接器）
【Hardware Overview】
Interface-rich reference carrier board
Seeed carrier board for reComputer J4012 is a high-performance, interface-rich board, providing HDMI 2.1, Gigabit Ethernet, USB 3.2, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.
Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.
Description
reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Nano 4GB) and J20 (Jetson Xavier NX 8GB and Jetson Xavier 16GB). Now we introduce the reComputer J4012 which is powered by Jetson Orin™ NX 16GB module and reComputer J401 carrier board.／ 現在我們介紹由 Jetson Orin™ NX 16GB 模組和 reComputer J401 載板供電的 reComputer J4012。
With rich extension modules, industrial peripherals, and thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).
At Seeed Studio, you will find everything you want to work with the NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.
We have prepared abundant guides to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with Deepstream and TensorRT, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS
Welcome to check out our free Edge AI partner program. We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you.
【Comparison among reComputer J40 and J20 series boards】：
【Computer Vision and embedded machine learning】：
- NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
- NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
- alwaysAI： build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.
- Edge Impulse： the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
- Roboflow provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the full documentation for deploying to NVIDIA Jetson with Roboflow.
- YOLOv5 by Ultralytics： use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials
- Deci： optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
【Computer Vision and embedded machine learning】電腦視覺與嵌入式機器學習：
- NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
- NVIDIA TAO Toolkit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
【Speech AI】語音人工智慧：
NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
【Remote Fleet Management】遠端車隊管理：
Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.
【Robot and ROS Development】機器人和ROS開發：
- NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about NVIDIA Developer Tools
- Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our webinar on connecting your ROS Project to the Cloud with Nimbus.
【Applications】：
reComputer J40 series, powered by Orin NX, is ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. The following are few of the applications that have been tested with Xavier NX and you can take them for reference in order to build applications using Orin NX as well.
- Traffic management／交通管理：
- license plate detection
- car detection
- pedestrian detection
- Industry 4.0：工業
- helmet detection, hard hat detection, and custom PPE detection
- visual anomaly detection using NVIDIA Deepstream IoT
- Retail：零售
- sentiment analysis(webinar: learn your customer with AI by Zenus smart camera),
- retail store items detection
- Robotics：機器人
- under-ice sensing ROV
- warehouse towing robot
- Edge AI into the Wild／邊緣人工智慧： Wildfire detection
- Agriculture／農業： weeding machines, Tractors, Livestock detection
- Healthcare／醫療保健： medical imaging analysis
Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project!
如果您想在 reComputer 上使用 SSD，我們只建議您選擇Seeed 的128GB、256GB、512GB版本，因為市場上的一些 SSD 在特定 JetPack 版本下可以與此產品配合使用，而有些則無法與其他 JetPack 配合使用版本。即使是官方 NVIDIA 開發套件也對 SSD 具有相同的行為
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