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(聖誕限時優惠5%折扣)reComputer J2012-Edge AI (16G),NVIDIAJetsonXavierNX
NT$99,999
運費NT$50
條碼035513293
產品說明0

【加購】電源線 +$100元(下方加購裡請勾選
&reComputer J2012-Edge AI (16G),NVIDIA Jetson Xavier NX 運算模 19V

※本產品原廠代理從國外進口,有些交期較長,下訂前請詢問!

reComputer Jetson-20-1-H2 with Jetson Xavier NX 16GB module, Aluminium case, pre-installed JetPack System 帶 Jetson Xavier NX 16GB 模塊、鋁製外殼、預裝 JetPack 系統(110061401)

-------------------------

 **reCompute Jetson-20-1-H2 變更 reComputer J2012**

由於元器件短缺,J2012已停產,推薦reComputer J2022作為替代

reComputer J2011-Edge AI (16GB),NVIDIA Jetson Xavier NX 運算模組

新標題:reComputer J2012 -Edge AI Device(NX 16GB+M.2 Key M+M.2 Key E+4*USB 3.0

-------------------------

【Part List/清單】
1 x Acrylic Cover 壓克力蓋
1 x Aluminium Frame 鋁製框架
1 x Jetson Xavier NX module 模組
1 x Heatsink 散熱
1 x Carrier board 載板
1 x 19V/4.74A (MAX 90W) Power Adapter 19V電源(Power cable not included)原廠配置不含電源線
【加購】電源線 +$100元(下方加購裡請勾選




  Jetson-20-1-H2 is a hand-size edge AI box built with Jetson Xavier NX 16GB module, rich set of IOs, aluminium case, cooling fan, pre-installed JetPack System, ready for your next AI application development and deployment.
  Jetson-20-1-H2 是一款手掌大小的邊緣 AI 盒子,內置 Jetson Xavier NX 16GB 模塊、豐富的 IO 集、鋁殼、冷卻風扇、預裝的 JetPack 系統,為您的下一個 AI 應用程序開發和部署做好準備。

筆記
  • 我們已經在reComputer中安裝了JetPack 4.6系統,您可以直接上電使用。
  • 如果您想在恢復模式下啟動甚至重新刷機 Jetpack 系統,請查看我們的 wiki。
  • 我們將不包括電源線,請根據您所在的國家/地區選擇合適的形式。
  • 我們將不包括 3V RTC 電池(CR1220)

【影片】:https://youtu.be/9gf287AGMVQ


【Features/特徵】

  • Hand-size edge AI device built with NVIDIA Jetson Xavier NX Production Module, delivering 384 NVIDIA CUDA® cores delivers up to 21 TOPs AI performance.
     手掌大小的邊緣AI 設備採用NVIDIA Jetson Xavier NX 生產模塊構建,提供 384 個 NVIDIA CUDA® 內核,可提供高達 21 TOPs 的 AI 性能。
  • Nearly the same design as Jetson Xavier NX Developer Kit’s reference carrier board, rich IOs including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port.
     與Jetson Xavier NX Developer Kit的參考載板設計幾乎相同,豐富的 IO 包括千兆以太網端口、4 個 USB 3.0 Type-A 端口、HDMI 端口和 DP 端口。
  • Pre-installed NVIDIA official JetPack software, ready for cloud-native application.
     預裝 NVIDIA 官方 JetPack 軟件,為雲原生應用做好準備。
  • Support a wide range of AI applications fast building with our ecosystem partners.
     與我們的生態系統合作夥伴一起支持廣泛的 AI 應用程序快速構建。
  • Support Allxon to enable secure OTA and remote device management. Unlock 90 days free trial with code H4U-NMW-CPK.
     支持 Allxon 以實現安全的遠程設備管理。使用代碼H4U-NMW-CPK解鎖 90 天免費試用
  • Able to mount on the wall with mounting holes on the back.
     可以安裝在牆上,背面有安裝孔。

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). 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.


【NVIDIA Jetson powered Edge AI platform at Seeed】

  At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

  Seeed will continue working on the Jetson product line and will be ready to combine our partners’ unique technology with Seeed’s hardware expertise for an end-to-end solution.


【Hardware specification/規格】

Comparison among reComputer Jetson-10 series and Official Dev Kits/reComputer Jetson-10 系列與官方開發套件對比

 


【Interface-rich reference carrier board/接口豐富的參考載板】

Nearly the same functional design as Jetson Xavier Developer NX Kit與 Jetson Xavier NX開發者套件幾乎相同的功能設計

  Seeed reference carrier board for Jetson-20-1-H1 is a high-performance, interface-rich NVIDIA Jetson Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA® Jetson Xavier™ NX DEVELOPER KIT.

  Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

 

 


【Desktop, Wall Mount, or fit in anywhere】

  With an overall dimension of 130mm*120mm*50mm, it is only around 1/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.
  外形尺寸為130mm*120mm*50mm,只有普通電腦機箱的1/10左右,可以適應邊緣AI場景。 背面螺絲孔可讓您根據需要懸掛產品。 我們還提供其他版本的案例,如藍色、銀色和銀色金屬,其可堆疊結構讓您可以堆疊更多中間層以輕鬆創建房間。


【Edge AI Applications】

  reComputer J2011 and J2022 are ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. 
  • 【Traffic management/交通管理】
    • license plate detection
    • car detection
    • pedestrian detection
  • 【Industry 4.0/工業4.0】:
    • helmet detection, hard hat detection, and custom PPE detection/頭盔檢測、安全帽檢測和定制 PPE 檢測
    • visual anomaly detection using NVIDIA Deepstream IoT/使用 NVIDIA Deepstream IoT 進行視覺異常檢測
  • 【Retail/零售】:
    • sentiment analysis(webinar: learn your customer with AI by Zenus smart camera)/情緒分析(網絡研討會:通過 Zenus 智能相機使用 AI 了解您的客戶)
    • retail store items detection/零售店物品檢測
  • 【Robotics/機器人】:
    • under-ice sensing ROV/冰下感應 ROV
    • warehouse towing robot/倉庫牽引機器人
  • 【Edge AI into the Wild】: Wildfire detection/野火檢測
  • 【Agriculture/農業】: weeding machine, Tractors, Livestock detection/除草機、拖拉機、牲畜檢測
  • 【Healthcare/醫療保健】: medical imaging analysis/醫學影像分析

 


 【Prebuild system for edge AI integration/用於邊緣 AI 集成的預構建系統】

  All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.

  JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.


【Work with Seeed Ecosystem/與 Seeed 生態系統合作】

  Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world. By consolidating Seeed’s best-in-class hardware, cutting-edge technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster industry digital transformation. We are looking for partners to join our ecosystem together to deliver solutions to different industries together. Please contact for more partnership ecosystem information.


【Computer Vision and embedded machine learning/計算機視覺和嵌入式機器學習

  • Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes.
  • 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

Speech AI/語音人工智能

  NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
NVIDIA® Riva 是一種 GPU 加速 SDK,用於構建針對您的用例定制的語音 AI 應用程序並提供實時性能。

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.
    NVIDIA Isaac ROS GEM 是硬件加速包,可讓 ROS 開發人員更輕鬆地在 NVIDIA 硬件上構建高性能解決方案。了解有關 NVIDIA 開發人員工具的更多信息
  •  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 Connect your ROS Project to the Cloud with Nimbus.
     Cogniteam Nimbus 是一種基於雲的解決方案,允許開發人員更有效地管理自主機器人。Nimbus 平台支持開箱即用的 NVIDIA® Jetson™ 和 ISAAC SDK 和 GEM。查看我們 關於使用 Nimbus 將您的 ROS 項目連接到雲端的網絡研討會。

【Model Optimization/模型優化】

  Deci: optimize your models on NVIDIA Jetson devices. Check webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
Deci:在 NVIDIA Jetson 設備上優化您的模型。 在 NVIDIA Jetson Nano 和 Xavier NX 設備上自動基準測試和優化運行時性能的 Deci 上查看 網絡研討會

【Remote Fleet Management/遠程車隊管理】

  Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.
使用Allxon啟用安全的 OTA 和遠程設備管理 。使用代碼 H4U-NMW-CPK 解鎖 90 天免費試用.


【Jetson Xavier NX 和 Jetson AGX Orin MLPerf v2.0 結果】


 

 選購商品 
●reComputer NX 版本 【加購價】:電源線 X1條●reComputer NX 版本 【加購價】:電源線 X1條加購價:NT$100數量
產品規格

reComputer J20 系列與官方開發套件對比

Comparison among reComputer J20 series and Official Dev Kits


Product
NVIDIA Jetson Xavier NX Developer Kit reComputer J2012 reComputer J2021 reComputer J2022
Module Xavier NX (not production version) Xavier NX 16GB (production version) Jetson Xavier NX 8 GB Jetson Xavier NX 16GB
AI Perf 21 TOPS
GPU 384-core NVIDIA Volta™ GPU
CPU 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
Memory 8 GB 128-bit LPDDR4x @ 51.2GB/s 16 GB 128-bit LPDDR4x @ 59.7GB/s 8 GB 128-bit LPDDR4x @ 59.7GB/s 16 GB 128-bit LPDDR4x 59.7GB/s
Storage MicroSD (Card not included) 16 GB eMMC 5.1

Video encoder

2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)

Video decoder

2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265)
2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264)
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)

Gigabit Ethernet

1*RJ45 Gigabit Ethernet Connector (10/100/1000)

USB
4 * USB 3.1 Type A Connector;
1 * Micro-USB port for Device mode;
4 * USB 3.0 Type A Connector;
1 * Micro-USB port for Device mode;
4 * USB 3.1 Type A Connector;
1* USB Type-C (Device mode)
CSI Camera Connect 2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display 1*HDMI Type A; 1*DP
FAN 1* FAN(5V PWM)

M.2 KEY E
1*M.2 Key E(WiFi/BT included) 1*M.2 Key E

M.2 KEY M

1*M.2 Key M

RTC
- 1*RTC Socket RTC 2-pin
RTC socket
Multifunctional port 1* 40-Pin header

Power Requirements
DC Jack 19V 4.75A (MAX 90W) 12V/5A(Barrel Jack 5.5/2.1mm)

Mechanical
103 mm x 90.5 mm x 31 mm 130mm x120mm x 50mm

Note
If use some GPIO libraries that causes floating voltage 1.2V~2V , GPIO issues on the carrier board could happen as the normal voltage should be 3V.
This is a common situation on the carrier boards, for both the reComputer series and official Nvidia Jetson developer kit.
Thus, aftersales / warrenty does not come into effect regarding this isssue.
For further information, refer to NVIDIA official document.

ECCN/HTS
HSCODE 8471419000
USHSCODE 8471490000
產品圖片

 

 

相關文件

Learn(新版本)
 
Explore the interfaces, AI performances, and all differences among Seeed's edge AI devices and carrier boards for Jetson, as well as NVIDIA Official Dev Kts.
 
We represent you the user guide of reComputer Jetson Series, providing kickstart for the beginners, documentation for usage, elaboration for the advance, AI tools and projects for reference, comprehensively help you from beginner to advancer.
 
This is the wiki shows you how to install NVIDIA System based on Seeed Studio J202 Carrier Board.
 
Learn(舊版本)
 
MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all AI computation performed at the edge. MaskCam detects and tracks people in its field of view and determines whether they are wearing a mask via an object detection, tracking, and voting algorithm.
 
We provide the user guide wiki here that helps you get quickly started with the reComputer series.
 
You can securely manage NVIDIA® JetPack 4.6 onward versions with Cyber Security at the Edge protecting all networks and hardware. Here are some operations about installing, getting code, adding devices etc.
 
Seeed is glad to partner with Allxon to deliver a secure remote management solution for Jetson Platform. At Seeed, you will find everything you want to work with NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and kits, as well as third-party boards and accessories.
 
Zenus leverages the power of Artificial Intelligence to create incredible products while driving the ethical use of facial analysis. Seeed supports the Zenus AI camera with Seeed's high-performance, interface-rich NVIDIA Jetson Nano/Xavier NX/TX2 NX compatible carrier board.

 

 

相關資訊

比較 NVIDIA Jetson Nano 和 Jetson Xavier NX

Compare NVIDIA Jetson Nano and Jetson Xavier NX
With Jetson Nano, developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34 of People Detection, 19 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection.
Jetson Xavier NX can achieve 172 FPS for PeopleNet- ResNet34 of People Detection, 274 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.
If you are developing an application that requires processioning multiple video streams at high resolution while performing ASR/NLP or other GPU-related tasks (CUDA enabled SLAM for example), then its deep learning accelerators can take on CNN inference and leave GPU for other tasks – TX2 or Jetson Nano maybe not satisfied. We recommend reComputer J2012 and J2021. Check our comparison blog here.

問與答

顯示 1 到 第2 (共 2 則 問與答) 總頁數:  1 
會員 Hsu先生/小姐 詢問: 2022-08-30  08:59:44
問題: 你好 我們想購買下面產品 需要開發票
(現貨)reComputer Jetson-20-1-H2(16G),NVIDIA Jetson Xavier NX 運算模
NT$21,600(未稅金額)
另外想請問有 128G SSD可以加購嗎?運送方式?及是否有運費?
謝謝.......>>>更多...
回覆: 您好,SSD目前我們沒有,你可以市面上買,
你線上下單直接可以選你的運費運送方式跟付款方式
訪客 詢問: 2022-08-29  16:17:16
問題: 你好 我想詢問下面產品的價格 以及有沒有現貨呢?謝謝
reComputer J2012 - Edge AI Device with Jetson Xavier NX 16 GB module
回覆: J2012 就是這款,NT$21600 未稅,現貨
J2012 只是新的代號而已

注意
更名:「reComputer Jetson-20-1-H2」已更改為“reComputer J2012”。
Name change: 'reComputer Jetson-20-1-H2' has changed to 'reComputer J2012'........>>>更多...
顯示 1 到 第2 (共 2 則 問與答) 總頁數:  1 
本商品上架日期:2014-03-14.
評價
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1 x DFR原廠 USB/RS232/RS485/TTL 協議轉換器 V2 (TEL070)
1 x ATMEGA128-16AU (P3-ATMEGA128)
1 x SparkFun 原廠 Qwiic Motor Driver (ROB-15451)
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