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Product description: reComputer J2012 - Nvidia Jetson Xavier NX 16GB RAM + 16GB eMMC - Seeedstudio 110061401
reComputer Jetson-20-1-H2 is based on the Nvidia Jetson Xavier NX module with advanced artificial intelligence (AI) systems. The device is equipped with 16 GB of RAM and 16 GB of eMMC memory, as well as a number of expansion modules and industrial peripherals built into the board, as well as thermal management. reComputer Jetson helps accelerate and scale up next-generation AI products by deploying popular DNN models and ML frameworks at the edge and high-performance inference for tasks such as real-time object classification and discovery, position estimation, semantic segmentation, and natural language processing (NLP ). Developers can use pre-trained models from Tao Toolkit and deploy them via DeepStream. Jetson Xavier can achieve 172 FPS for PoepleNet - ResNet33 for human recognition, 274 FPS for DashCamNet-ResNet18 for vehicle recognition, and 1126 FPS for FaceDetect-IR-ResNet18 for facial recognition. Test results can be found on NVIDIA®'s DeepStream SDK website .
Jetson Xavier NX allows you to run a wide variety of advanced networks, including full native versions of popular machine learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, MXNet, and more.
reComputer Jetson works with the entire Nvidia Jetson software stack, industry-leading AI platforms, development platforms like Edge Impulse , Always AI , and development tools for Nimbus cloud-based robots.
reComputer J2012.Main features of reComputer J2012
- Compact AI edge device with built-in Nvidia Jetson Xavier NX module, equipped with 384 Nvidia Cuda cores providing up to 21 TOPs.
- The system is very similar to the Nvidia Jetson Xavier NX Debeloper Kit, many I / O pins, including a gigabit Ethernet port, 4 USB 3.0 type A ports, HDMI and DP ports.
- Preloaded with official Nvidia JetPack software, ready for cloud-native applications.
- It supports a wide range of fast-growing AI applications.
- Supports real-time robot development, analysis and remote fleet management in Cogniteam Nimbus .
- It supports Allxon to enable secure OTA and remote device management. 90 day trial period with the code: H4U-NMW-CPK.
- Can be mounted on the wall thanks to the mounting holes.
Application of reComputer Jetson
The reComputer Jetson series will prove itself in the construction of autonomous machines and complex AI system tasks in the field of image recognition, object detection and location, motion recognition, semantic segmentation, video processing and intelligent analysis.
Edge AI into the Wild : UAV, Drone, Wildlife Conservation, Agriculture
Smart cities : traffic, retail, healthcare
Industry : production, logistics, delivery, service
Application of reComputer Jetson.
Jetson precompilation system.Pre-compilation system for Edge AI integration
All Nvidia Jetson modules and development kits work with the same type of software, so that once written application can be run on other Jetson boards. Jetson software is designed to provide end-to-end acceleration for AI applications and reduce time-to-market. Jetson introduces the same advanced Nvidia technologies found in data center and cloud edge deployments. Nvidia JetPack includes Nvidia Container Runtime with Docker integration to enable GPU acceleration of containerized applications on the Jetson platform. Jetpack also supports Nvidia Triton Inference Servers to simplify large-scale deployment of AI models.
Kit contents
- Acrylic cover
- Aluminum frame
- Jetson Nano module
- Radiator
- Carrier plate
- 12 V / 2 A power supply (with 5 interchangeable adapter plugs)
Interfaces in reComputer Jetson
On the Seeed reference board for J2012 you can find a number of interfaces that are found in the Nvidia Xavier NX, they are: HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 E and M key connectors, camera connectors CSI, GPIO, I2C, I2S, fans and other rich peripheral interfaces. It has almost the same design and size as the Nvidia Jetson Xavier NX board. Small footprint, rich interfaces and high performance allow to introduce new possibilities to all embedded artificial intelligence and edge systems.
- Control and UART connector
- MIPI-CSI camera connectors
- Optional PoE connector
- Display Port and HDMI
- DC power connector
- CAN
- Fan connector
- 40-pin conclusions (GPIO, I2C, UART)
- 260-pin SODIMM connector
- 4x USB 3.0 port
- Gigabit Ethernet port
- LED
- MicroUSB
- M.2 KEY E
- RTC socket
- M.2 KEY M
Pins of the Jetson reComputer board.| Specification and comparison | |||
|---|---|---|---|
| Product | reComputer J2012 | reComputer J2011 | Nvidia Jetson Xavier NX Developer Kit |
| Module | Xavier NX (Non-Development Version) | ||
| AI performance | |||
| GPU | |||
| Processor | |||
| RAM | 16 GB 128-bit LPDDR4x @ 59.7GB / s | 8 GB 128-bit LPDDR4x @ 59.7GB / s | 8 GB 128-bit LPDDR4x @ 51.2GB / s |
| Internal storage | MicroSD | ||
| Video codec | 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264) |
2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265 / H.264) | |
| Video decoder | 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264) |
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) |
|
| Ethernet connection | |||
| USB | 1x microUSB port host |
1x microUSB port for power and host |
|
| Camera connector | |||
| Display connector | 1x DP |
||
| Cooling | |||
| M.2 key E | 1x M.2 key E | 1x M.2 key E | 1x M.2 E key (WiFi / BT) |
| M.2 key M | 1x M.2 M key | 1x M.2 M key | 1x M.2 M key |
| RTC | - | ||
| GPIO | |||
| Power | |||
| Dimensions | 130 x 120 x 50 mm | 103 x 90.5 x 31 mm | |
