reComputer J1020 v2 is a powerful and compact intelligent edge box built with Jetson Nano production module, bringing modern AI performance to the edge. The built-in J202 carrier board is the same dimension as the Jetson Nano Developer Kit, including 4xUSB 3, M.2 Key M, HDMI, and DP. The full system also includes a fan and a power adapter.

For AI beginners, if you would like to get critical AI skills and dive into deep learning. NVIDIA’s Deep Learning Institute (DLI) delivers practical, hands-on training and certification. Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects.

For solution providers, reComputer J1020 v2 is preinstalled with Jetpack 4.6.1, with a rich set of I/Os, this AI box 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.

Features

• NVIDIA Jetson Nano Dev Kit alternative: hand-size Edge AI device built with Jetson Nano 4GB Production Module, the carrier board brings extensive I/Os: GPIO, CSI, Gigabit Ethernet, 4 x USB 3.0 Type A, onboard 16 GB eMMC
• 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
• Pre-installed NVIDIA Jetpack, JetPack SDK includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, etc.
• Support the entire Jetson software stack and various developer tools for building fast and robust AI applications provided by Seeed Edge AI partners.

Edge AI Applications

For both beginners and experts, it is designed to help you to build your next-gen autonomous machine at the edge.

• Pedestrian detection by Edge Impulse
• Hard hat detection and build custom PPE detection
• Pose Estimation with alwaysAI
• Visual anomaly detection using NVIDIA Deepstream IoT
• Retail store items detection
• Wildfire detection
• Animal detection

Note! If you want to use SSDs with reComputer Jetson, we only recommend you choose 128GB, 256GB, and 512GB versions from Seeed, because some of the SSDs in the market will not work with this product.

Specification

• GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
• 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
• Video Encode: 250MP/sec; 1x 4K @ 30 (HEVC); 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC); 4x 720p @ 60 (HEVC); 9x 720p @ 30 (HEVC)
• Video Decode: 500MP/sec; 1x 4K @ 60 (HEVC); 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC); 8x 1080p @ 30 (HEVC); 9x 720p @ 60 (HEVC)
• Camera: 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (1.5 Gb/s per pair)
• Connectivity: M.2 Key M + 10/100/1000 BASE-T Ethernet
• Display: DMI 2.0 and eDP 1.4
• I/O: 1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S
• UPHY: 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
• Size: 69.6 mm x 45 mm
• Mechanical: 260-pin edge connector

Part List

• 1 x Acrylic Cover
• 1 x Aluminum Frame
• 1 x Jetson Nano module
• 1 x Heatsink
• 1 x reComputer J202 carrier board
• 1 x 12V/2A Power adapter (with 5 interchangeable adapter plugs)

Learn and documents

• Wiki - reComputer Jetson™ Series Guide
• reComputer J1020 v2 datasheet.pdf
• reComputer J202 carrier board datasheet.pdf
• NVIDIA Jetson Devices and carrier boards comparision.pdf