Description
reComputer J1010 is a compact edge computer built with NVIDIA Jetson Nano 4GB production module, comes with 128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16) to run AI frameworks and applications like image classification, object detection, and speech processing. The production modules offers 16GB eMMC, a longer warranty, and 5-10 year operating life in a production environment(Jetson FAQ). We also have reComputer J20 series built with a Jetson Xavier NX module, delivering 21 TOPS AI performance for more complex AI workloads.
Besides the Jetson module, reComputer J1010 also includes J101 carrier board with onboard microSD card slot, 1*USB 3.0, 2*USB2.0, HDMI, M.2 Key E for WiFI, LTE and Bluetooth, RTC, Raspberry Pi GPIO 40-pin, and so on, as well as a heatsink, and aluminum case. The device has been pre-installed Jetpack 4.6.1, just plug in a USB C 5V/3A power supply, keyboard, mouse, and ethernet cable, you are ready to start your embedded AI journey! If you need more USB 3.0 and onboard M.2 key M for attaching SSD, you can choose reComputer J1020.
Features
Hand-size edge AI full system delivering modern AI power of 0.5 TFLOPs (FP16) and rich interfaces for embedded development.
Ready for development and deployment: pre-installed NVIDIA JetPack supports the entire Jetson software stack and industry-leading AI developer tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
Power efficient: powered by Type C 5V/3A, consuming as little as 5 watts.
Expandable with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.
If you are a beginner in Deep Learning, NVIDIA prepared this deep learning tutorial of Hello AI World and Two Days to a Demo. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete free, open-source courses. For most applications, you also need to connect with cameras, and you might need plug-and-play Grove sensors to use with Raspberry Pi HAT to extend more ideas.
Please also check out Seeed wiki guide including getting started guide also different projects such as use helmet detection and deploy a custom YOLOv5 model at Jetson Nano(fewer datasets, faster inference at 27FPS on reComputer J10 and 60FPS on J2021 of Jetson Xavier NX).
Application
Object detection use YOLOv5 and roboflow such as roadsign detection, wild fire smoke detection. You can also follow this guide to train and deploy a custom model!
Hard hat detection uses Edge Impulse for workplace safety
Pedestrian detection by Edge Impulse
nanosaur: the smallest Jetson Nano dinosaur robot, open-source, fully 3D printable, based on ROS2 & Isaac ROS.
DeepCamera NVR (network video recorder)
Pose estimation uses alwaysAI
Retail store items detection
Wildfire detection
Animal detection
Visual anomaly detection using NVIDIA Deepstream IoT
Find in the Jetson Community to inspire your next project!
If you work for an AI enterprise of ISV or system integrator, 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.
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