reComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed Nvidia

reComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed Nvidia
reComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed NvidiareComputer Jetson-10-1-A0 (J1010) with microSD Card Slot on Carrier Board - Seeed Nvidia
รหัสสินค้า BA00239
หมวดหมู่ Development Boards
ราคา 8,965.00 บาท
สถานะสินค้า พร้อมส่ง
จำนวน
ชิ้น
หยิบลงตะกร้า
หนังสือรับรองบริษัท
บุ๊คแบ๊งค์
คุ้มครองโดย LnwPay

ดูรายละเอียดเพิ่มเติมและวิธีเริ่มต้นใช้งานได้ที่ Link1 และ Link2

ต้องการลง Nvidia System ใหม่ด้วยตัวเอง ดูวิธีการได้ที่ Link
หมายเหตุ:
1) J1010 เวอร์ชั่นนี้ (ฺBA00239) มี microSD card slot ติดมาให้บน carrier board พร้อมใช้งาน แต่ J1010 (BA00206) จะไม่มี microSD card slot ติดตั้งมาให้บน carrier board
2) รุ่น J1010 ไม่สามารถเพิ่มหน่วยความจำแบบ SSD M.2 Slot ได้ หากต้องการเพิ่มหน่วยความจำแบบ SSD ได้ จะต้องเป็นรุ่น J1020 / J2011 / J2012
3) สามารถเพิ่มหน่วยความจำโดยใช้ USB memory ได้ ดูวิธีได้จาก
Link โดยไปที่หัวข้อ "Capacity expansion via USB storage device"

สินค้าประกอบด้วย

1 x Acrylic Cover

1 x Aluminium Frame 

1 x Jetson Nano module 

1 x Heatsink 

1 x Carrier board (with microSD card slot)

สินค้าไม่รวม Power Adapter แบบ 5V 3A (BR00149)
Short description

Jetson-10-1-A0 (J1010) is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminium case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.
Note:

- We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering in.
- If you want to get started or even reflash Jetpack system under Recovery mode, please check our wiki.
- We'd like to hear from you, welcome to join our Discord channel to share your thoughts (Jetson edge AI)
- We will not include a power cord, please choose a suitable form according to your country.

- We will not include a 3V RTC battery (2-pin).

 

PRODUCT DETAILS

Features

  • Hand-size edge AI device built with NVIDIA Jetson Nano Production Module, delivering 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).
  • Nearly the same design as Jetson Nano Developer Kit’s reference carrier board, rich IOs including Gigabit Ethernet port, USB 3.0 & USB 2.0 ports, HDMI port.
  • Pre-installed NVIDIA official JetPack software, ready for cloud-native application.
  • Support a wide range of AI applications fast building with our ecosystem partners.
  • Support real-time robotic development, analysis, and remotely fleet management at Cogniteam Nimbus
  • Support Allxon to enable secure OTA and remote device management. Unlock 90 days free trial with code H4U-NMW-CPK.
  • Able to mount on the wall with mounting holes on the back

Description

reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson-10 (Nano 4GB) andJetson-20 (Xavier NX).With rich extension modules, industrial peripherals, thermal management, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product development 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).

Jetson Nano: Deep Learning Inference Performance

Reference: NVIDIA, Performance of various deep learning inference networks with Jetson Nano and TensorRT, using FP16 precision and batch size 1

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. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.

Jetson Nano can run a wide variety of advanced networks, including the full native versions of popular ML frameworks like TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet, and others.

reComputer Jetson series is compatible with the entire NVIDIA Jetson software stack, industry-leading AI frameworks, development platforms like Edge Impulse, AlwaysAI, and cloud-based robot development tool Nimbus.

Application: next-gen autonomous machine at the edge
reComputer Jetson series is ideal for building autonomous machines and complex AI system tasks of image recognition, object detection and localization, pose estimation, semantic segmentation, video processing, and intelligent analytics. 

Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture 
Smart City: Traffic, Retail, Healthcare
Industry 4.0: Manufacturing, Logistics, Delivery, Service


Prebuild system for edge AI integration
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.

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 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

Comparison among reComputer Jetson-10 series and Official Dev Kits 
Product reComputer Jetson-10-1-A0
(J1010)
reComputer Jetson-10-1-H0
J(1020)
Jetson Nano Dev. Kit-B01
Module Nano (production version) Nano (not production version)
AI Perf 472 GFLOPS
GPU 128-core NVIDIA Maxwell™
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4GB 64-bit LPDDR4 25.6GB/s
Storage 16 GB eMMC MicroSD (Card not included)
Video Encoder 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 
(H.265 & H.264)
4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
Video Decoder 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 
(H.265 & H.264)
4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB 1*USB 3.0 Type A Connector
2*USB 2.0 Type A Connector
1*USB Type C for device mode
1*USB Type C for 5V power input
4*USB 3.0 Type A Connector
1*Micro-USB port for device mode
4*USB 3.0 Type A Connector 
1*Micro-USB port for 5V power input  or for device mode
CSI Camera Connect 2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display 1*HDMI Type A 1*HDMI Type A; 
1*DP
1*HDMI Type A; 
1*DP
FAN 1* FAN (5V PWM)
M.2 KEY E 1*M.2 Key E 1*M.2 Key E (Disabled) 1*M.2 Key E
M.2 KEY M - 1*M.2 Key M -
RTC 1*RTC Socket -
Multifunctional port 1* 40-Pin header
Power USB-Type C 5V3A DC Jack 12V/2A DC Jack 5V3A
Micro-USB 5V
2A
Mechanical 130 mm x 120 mm x 50 mm (with case) 130mm x120mm x 50mm (with case) 100 mm x 80 mm x 29 mm

 

Comparison between Nano 2GB developer kit and Jetson-10-1-A0:

NVIDIA® Jetson Nano™ 2GB Developer Kit

reComputer Jetson-10-1-A0

Nano (not production version)

Nano (production version)

472 GFLOPS

128-core NVIDIA Maxwell™

Quad-core ARM A57 @ 1.43 GHz

2GB 64-bit LPDDR4 25.6GB/s

4GB 64-bit LPDDR4 25.6GB/s

microSD (Card not included)

16 GB eMMC

4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)

4K30 | 2x1080p60 | 4x1080p30 | 

4x720p60 | 9x720p30 (H.265 & H.264)

4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)

4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60

(H.265 & H.264)

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

1 * USB 3.0 Type A Connector; 

2 * USB 2.0 Type A Connector;

1 * Micro-USB port for Device mode;

1 * USB Type C for 5V power input

1 * USB 3.0 Type A Connector; 

2 * USB 2.0 Type A Connector;

1 * USB Type C for Device mode;

1 * USB Type C for 5V power input

1*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

1*HDMI Type A

-

1* FAN(5V PWM)

-

1*M.2 Key E

-

-

-

1*RTC Socket

1* 40-Pin header

USB-Type C 5V⎓3A;

100 mm x 80 mm x 29 mm

130 mm x 120 mm x 50 mm(with case)


Interface-rich reference carrier board:

Nearly the same functional design as Jetson Nano 2GB Developer Kit

Seeed reference carrier board for Jetson-10-1-A0 is a high-performance, interface rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of Nvidia Jetson Nano 2GB Developer Kit | NVIDIA DeveloperTake 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.

 

Work with Seeed Ecosystem

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 industries 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.

Specifications

Module Technical Specifications

GPU

NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16)

CPU

Quad-core ARM® Cortex®-A57 MPCore processor

Memory

4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s

Storage

16 GB eMMC 5.1 Flash

Video Encode

250 MP/sec

1x 4K @ 30 (HEVC)

2x 1080p @ 60 (HEVC)

4x 1080p @ 30 (HEVC)

Video Decode

500 MP/sec

1x 4K @ 60 (HEVC)

2x 4K @ 30 (HEVC)

4x 1080p @ 60 (HEVC)

8x 1080p @ 30 (HEVC)

Camera

12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)

Connectivity

Wi-Fi requires external chip

10/100/1000 BASE-T Ethernet

Display

HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous

UPHY

1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0

I/O

1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S

Size

69.6 mm x 45 mm

Mechanical

260-pin edge connector


Carrier Board Technical Specifications

Connector

Jetson-10-1-A0

NVIDIA Jetson Nano 2GB Developer Kit | NVIDIA Developer

Jetson module connector

1*Jetson SODIMM connector, 260-pin

1 * Jetson SODIMM connector, 260-pin

USB 3.0

1 * USB 3.0 Type A Connector

4 * USB 3.0 Type A Connector

USB 2.0

2 * USB 2.0 Type A Connector

1 * USB 2.0 Type C Connector

1 * USB Micro B, RA Female

 Ethernet Port

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

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

Display Port

1*HDMI Type A

1 * HDMI Type A and 1*DP

CSI Camera Connector

2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

1 * CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )

M.2 Key E

1*M.2 Key E Slot (75-pin) 2230

1 * M.2 Key E Slot (75-pin) 2230

M.2 Key M

\

\

Multifunctional Port

2.0 Pitch 40 PIN

2.0 Pitch 40 PIN

Button Header

1*Button Header 

1 * Button Header

FAN Connector

1*Picoblade Header

1 * Picoblade Header

CAN

\

\

Micro SD card

Included (on the carrier board)

\

RTC

Reserved

Reserved

 Power

1* Type-C connector

1 * Type-C connector

Part List

1 x Acrylic Cover

1 x Aluminium Frame 

1 x Jetson Nano module 

1 x Heatsink 

1 x Carrier board (with microSD card slot)

LEARN AND DOCUMENTS
Document
Jetson-10-1-A0 Datasheet.pdf

Learn

 
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 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.
 
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.

สินค้ารับประกัน 1 ปี (นับตั้งแต่วันที่ซื้อสินค้า) โดยรับประกันในกรณีที่ความเสียหายเกิดจากผู้ผลิตเท่านั้น และหากต้องมีการส่งสินค้ากลับไปยังประเทศผู้ผลิตเพื่อทดสอบหรือซ่อม ทางลูกค้าเป็นผู้รับผิดชอบค่าใช้จ่าย ส่วนทางร้าน arduitronics จะรับผิดชอบค่าใช้จ่ายในส่วนของการส่งสินค้ากลับมายังประเทศไทย

วิธีการชำระเงิน

ชำระเงินค่าสินค้าโดยการโอนเงินเข้าบัญชีธนาคาร KBANK, SCB, BBL,TMB

กรุณาเก็บหลักฐานการโอนเงินของท่านไว้เพื่อแจ้งการชำระเงินด้วยค่ะ

 

ท่านสามารถแจ้งการชำระเงินผ่านระบบอัตโนมัติได้โดย Click Link ข้างล่างค่ะ

https://www.arduitronics.com/informpayment

 

บมจ. ธนาคารกสิกรไทย สาขาเซ็นทรัล แจ้งวัฒนะ ออมทรัพย์
ธนาคารไทยพาณิชย์ จำกัด (มหาชน) สาขาเซ็นทรัล แจ้งวัฒนะ ออมทรัพย์
ธนาคารกรุงเทพ จำกัด (มหาชน) สาขาเซนทรัล พระราม 3 สะสมทรัพย์
ธนาคารทหารไทยธนชาต จำกัด (มหาชน) สาขาเซนทรัล พระราม 3 กระแสรายวัน

เพิ่มเพื่อน

@rfm0967y

ติดต่อสอบถาม

เพิ่มเพื่อน

CATEGORY

Sensors / Modules [1695]

CONTACT US

มือถือ 0887823467 แฟกซ์ 02-0153201

Join เป็นสมาชิกร้านค้า

ร้านArduitronics
ร้านArduitronics
/www.arduitronics.com/
Join เป็นสมาชิกร้าน
2118
สมัครสมาชิกร้านนี้ เพื่อรับสิทธิพิเศษ

STATISTICS

หน้าที่เข้าชม15,375,197 ครั้ง
ผู้ชมทั้งหมด5,878,275 ครั้ง
เปิดร้าน21 พ.ค. 2556
ร้านค้าอัพเดท5 ก.ย. 2568

MEMBER

พูดคุย-สอบถาม