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&reComputer J2021-Edge AI (8GB),NVIDIA Jetson Xavier NX,DC12V
NT$22,660
運費NT$50
條碼21872
產品說明

【加購】電源線 +$100元(下方加購裡請勾選

&reComputer J2021-Edge AI (8GB),NVIDIA Jetson Xavier NX 運算模組 12V

※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-H1(J2021) with Jetson Xavier NX 8GB module, Aluminium case, pre-installed JetPack System 帶 Jetson Xavier NX 8GB 模塊、鋁製外殼、預裝 JetPack 系統(110061381)

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

 **reCompute Jetson-20-1-H1 變更 reComputer J2011**

由於元器件短缺,J2011已停產,推薦reComputer J2021作為替代

reComputer J2021-Edge AI (8GB),NVIDIA Jetson Xavier NX 運算模組

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

 【特徵】
  • 手掌大小的邊緣 AI 設備採用 Jetson Xavier NX 8GB 生產模塊構建,提供 384 個 NVIDIA CUDA® 內核,以 130mm x120mm x 50mm 的小尺寸提供高達 21 TOPS 的 AI 性能。
  • NVIDIA Jetson Xavier NX 開發套件替代方案載板帶來豐富的 IO,包括千兆以太網端口、4 個 USB 3.1 Gen2 端口、HDMI 端口和 DP 端口
  • 預裝 NVIDIA JetPack支持整個Jetson軟件堆棧和各種開發人員工具,用於構建由 Seeed Edge AI 合作夥伴提供的快速、強大的 AI 應用程序,幫助開髮用於製造、物流、零售、服務、農業、智慧城市、醫療保健、和生命科學等
  • 節能:低至 10W,在邊緣提供高性能、準確的多模態 AI 推理。
  • 可通過板載接口和 reComputer 機箱進行擴展可通過背面的安裝孔安裝在牆上。
  • 綜合證書:FCC、CE、RoHS(9月初獲得證書)
 
  reComputer J2021是一款功能強大且結構緊湊的智能邊緣盒,可為邊緣帶來高達 21TOPS 的現代 AI 性能。 整個系統包括與 Jetson NX 開發套件相同的外形尺寸載板、一個 Jetson Xavier NX 生產模塊、一個散熱器和一個電源適配器。 reComputer J2021 預裝了 Jetpack 4.6.1,簡化了開發,適合在智能城市、安全、工業自動化、智能工廠。
Jetson-20-1-H1(J2021) 與 Jetson Xavier NX 8GB開發者套件幾乎相同的功能設計
【Part List/清單】
  1. 1 x Acrylic Cover 壓克力蓋
  2. 1 x Aluminium Frame 鋁製框架
  3. 1 x Jetson Xavier NX module 模組
  4. 1 x Heatsink 散熱
  5. 1 x Carrier board 載板
  6. 1 x 12V/5A (Barrel Jack 5.5/2.1mm) Power Adapter12V電源(Power cable not included)原廠配置不含電源線
    PS.我們將不包括 3V RTC 電池(CR1220)、不包括電源線,

【加購】電源線 +$100元(下方加購裡請勾選
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./ 如果使用一些導致浮動電壓 1.2V~2V 的 GPIO 庫,可能會出現載板上的 GPIO 問題,因為正常電壓應該是 3V。
  • This is a common situation on the carrier boards, for both the reComputer series and official Nvidia Jetson developer kit./對於 reComputer 系列和官方 Nvidia Jetson 開發工具包來說 ,這是載板上的常見情況。
  • Thus, aftersales / warrenty does not come into effect regarding this isssue./此,售後/保修不會對此問題生效。
  • For further information, refer to NVIDIA official document./有關詳細信息,請參閱NVIDIA 官方文檔。

    https://files.seeedstudio.com/wiki/reComputer/Jetson_Nano_Developer_Kit_40-Pin_Expansion_Header_GPIO_Usage_Considerations.pdf

 

 

影片:https://youtu.be/9gf287AGMVQ

 
【說明】
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.
Jetson 的 reComputer 系列是採用 NVIDIA 高級 AI 嵌入式系統構建的緊湊型邊緣計算機:J10(Nano 4GB)J20(Jetson Xavier NX 8GB 和 Jetson Xavier 16GB) 。 憑藉豐富的擴展模塊、工業外圍設備和熱管理,reComputer for Jetson 已準備好通過將流行的 DNN 模型和 ML 框架部署到邊緣並進行高性能推理來幫助您加速和擴展下一代 AI 產品。
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.
在 Seeed,您會找到想要與 NVIDIA Jetson 平台一起工作的一切——官方 NVIDIA Jetson 開發套件、Seeed 設計的載板、邊緣設備以及配件。
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.
歡迎查看我們的免費 Edge AI 合作夥伴計劃。 我們期待利用本地和全球資源與您一起加速下一代人工智能產品。

 

【Hardware specification/規格】

reComputer J20 系列與官方開發套件對比

 

 
【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
 

【Interface-rich reference carrier board】

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 carrier board for reComputer J2021 is a high-performance, interface rich NVIDIA Jetson Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.1 Gen2, 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.
  用於 reComputer J2021 的 Seeed 載板是一款高性能、接口豐富的 NVIDIA Jetson Xavier NX 兼容載板,提供 HDMI 2.0、千兆以太網、USB 3.1 Gen2、M.2 key E、M.2 key M、CSI 攝像頭、CAN、 GPIO、I2C、I2S、風扇等豐富的外設接口。它具有與NVIDIA® Jetson Xavier™ NX DEVELOPER KIT的載板相同的功能設計和尺寸。

  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.
  利用小巧的外形、豐富的傳感器接口和強大的性能,為您的所有嵌入式 AI 和邊緣系統帶來新功能。


【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。


 【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。
【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。
 
【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 Connect your ROS Project to the Cloud with Nimbus.
 
 
【NVIDIA Jetson powered Edge AI platform at Seeed/Seeed 的 NVIDIA Jetson 支援 Edge AI 平臺】
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.
在 Seeed,您會找到想要與 NVIDIA Jetson 平台一起工作的一切——官方 NVIDIA Jetson 開發套件、Seeed 設計的載板、邊緣設備以及配件。
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.
Seeed 將繼續致力於 Jetson 產品線,並準備將我們合作夥伴的獨特技術與 Seeed 的硬件專業知識相結合,以提供端到端的解決方案。
 【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.
所有 NVIDIA® Jetson™ 模塊和開發人員套件均由同一軟件堆棧支持,使您能夠一次開發並隨處部署。 Jetson Software 旨在為 AI 應用程序提供端到端加速並加快您的上市時間。 我們將支持數據中心和雲部署的強大 NVIDIA 技術帶到邊緣。
NVIDIA 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.
NVIDIA JetPack 包括具有 Docker 集成的 NVIDIA Container Runtime,可在 Jetson 平台上啟用 GPU 加速的容器化應用程序。 Jetpack 還支持 NVIDIA Triton™ 推理服務器,以簡化大規模 AI 模型的部署。
 

【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 cooperation@seeed.cc for more partnership ecosystem information.
部署人工智能想法可以更快、更靈活,甚至可以為每個人擴展。 Seeed Jetson 平台旨在幫助教育工作者、開發人員和企業在現實世界中部署機器學習。 通過整合 Seeed 一流的硬件、軟件合作夥伴和社區所有開發人員的尖端技術,我們旨在在我們的開源平台中出現各種 AI 場景,以加快行業數字化轉型。 我們正在尋找合作夥伴加入我們的生態系統,共同為不同行業提供解決方案。 請聯繫合作@seeed.cc 了解更多合作生態系統信息。

 

 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.

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.

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