reComputer J1020 v2 - Nvidia Jetson Nano 4GB RAM + 16GB eMMC - Seeedstudio 110061441

Product description: reComputer J1020 v2 - Nvidia Jetson Nano 4GB RAM + 16GB eMMC - Seeedstudio 110061441

reComputer J1020 v2 from the Jetson series is based on the Nvidia Jetson Nano module with advanced artificial intelligence (AI) systems. It is equipped with 4 GB of RAM and 16 GB of eMMC memory . A number of extension modules and industrial peripherals are built into the board, which means that Jetson reComputer can be used to implement AI. This process is done through the use of popular DNN models and ML frameworks. The minicomputer will be used in: classification and detection of objects in real time, position estimation, semantic segmentation and natural language processing (NLP). reComputer J1020 v2 has a built-in Nvidia Jetson Nano module, and the carrier board has the same dimensions as the Nvidia Jetson Nano Developer Kit and is equipped with 4x USB 3.0, M.2 Key M slot, HDMI port and DisplayPort .

reComputer J1020 v2 has installed Jetpack 4.6.1 software with a rich set of I/O. AI box enables the implementation of Edge AI in video analytics, object detection, natural language processing, medical imaging and robotics in various industries of smart cities, security, industrial automation, smart factories.

reComputer J1020 v2.

Main features of reComputer J1020 v2

• Alternative to Nvidia Jetson Nano Debeloper Kit. Based on Nvidia Jetson Nano 4GB, multiple I/O pins including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI and DP ports, and 16GB eMMC memory, expandable with SSD.
• 128 Nvidia CUDA cores deliver 0.5 TFLOPs (FP16) to support AI platforms and models for applications such as image classification, object detection, segmentation, and speech processing.
• Pre-installed official Nvidia JetPack software, ready for cloud-native applications.
• It supports the entire Jetson software stack and various development tools for building fast and reliable AI applications provided by Seeed Edge AI partners.

ReComputer Jetson application

The reComputer Jetson series can be used to build autonomous machines and complex AI tasks in the areas of image recognition, object detection and localization, motion recognition, semantic segmentation, video processing and intelligent analytics.

Edge AI into the Wild : UAV, Drone, Wildlife Conservation, Farming

Smart cities : traffic, retail, healthcare

Industry : production, logistics, delivery, service

Jetson precompile system.

Pre-build system for Edge AI integration

Nvidia Jetson modules and development kits use the same software stack, thanks to which an application once written can be run on other Jetson boards. Jetson software provides end-to-end acceleration for AI applications and reduces time to market. Advanced Nvidia technologies used in the module are also present in data centers and cloud deployments on edge devices. Nvidia JetPack includes Nvidia Container Runtime with Docker integration for GPU-accelerated container applications on the Jetson Jetpack platform. It also provides support for the Nvidia Triton Inference Server to simplify the deployment of AI models at scale.

Kit contents

• Jetson Nano module
• carrier plate
• 12 V / 2 A power adapter (with 5 interchangeable adapter plugs)
• Acrylic cover
• aluminum frame
• Radiator

Interfaces in reComputer Jetson

Board compatible with Nivdia Jetson Nano is equipped with HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera connectors, GPIO, I2C, I2S, fans and other rich peripheral interfaces. It has almost the same functional design and size as the Nvidia Jetson Nano board. Small in size, rich in interfaces, and powerful in performance, it brings new possibilities to all embedded AI and edge systems.

1. Control and UART connector
2. CAN (disabled)
3. RTC 2-pin connector
4. Fan connector
5. 2x MIPI-CSI camera connector
6. 40-pin pins (GPIO, I2C, UART)
7. 260-pin SODIMM connector
8. 4x USB 3.0 ports
9. PoE connector
10. Gigabit Ethernet port
11. DisplayPort and HDMI
12. LEDs
13. DC power connector
14. USB Type-C
15. M.2 KEY E (disabled)
16. RTC socket
17. M.2 KEY M

Pins of the reComputer Jetson board.

Specification and comparison Product reComputer J1010 reComputer J1020 v2 Nvidia Jetson Nano-B01 Module Nano (development version) Nano (non-development version) AI performance 472 GFLOPS GPU 128-core Nvidia Maxwell chip Processor Quad-Core ARM A57 1.43GHz RAM 4GB 64-bit LPDDR4 25.6GB/s Internal storage 16GB eMMC microSD Video codec 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 and H.264) 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265) Video decoder 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 and H.264) 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265) Ethernet connection 1x RJ45 Gigabit Ethernet (10/100/1000) USB

1x USB 3.0 Type A connector 2x USB 2.0 type A connector 1x USB Type-C host connector 1x USB Type-C connector for power

4x USB 3.0 type A connector 1x USB Type-C host port 4x USB 3.0 type A connector 1x microUSB port for power and host Camera connector 2x CSI (15-pin, 1mm pitch, MIPI-CSI-2) Display connector 1x HDMI type A 1x HDMI type A 1xDP

1x HDMI type A 1xDP

Cooling 1x fan connector M.2 E Key 1x M.2 Key E 1x M.2 Key E (Excluded) 1x M.2 Key E M.2 M Key - 1x M.2 M Key - RTC 1x RTC socket 1x RTC socket 1x RTC 2-pin - GPIOs 1x 40-pin Power USB Type-C 5V/3A 12V/2A jack connector DC 5V/3A jack microUSB 5V/2A Dimensions 130 x 120 x 50mm (with housing) 130 x 120 x 50mm (with housing) 100 x 80 x 29mm

Useful links

• Manufacturer's website: SeeedStudio 110061441
• reComputer Jetson User's Guide
• reComputer J1020 v2 documentation
• Comparison of Nvidia Jetson devices