Cue theme music..."Meet NVIDIA Jetson!" The latest addition the Jetson family, the NVIDIA® Jetson Nano™ Developer Kit (V3) delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. This version of the Jetson Nano Developer Kit comes equipped with two MIPI-CSI camera connectors which enables algorithms that perform stereo vision! We at SparkFun see this as more than enough potential to be yelling "Stop this crazy thing" to your friends & family!
Jetson Nano is also supported by NVIDIA JetPack™, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.
Skill Level: Experienced - You will require a firm understanding of programming, the programming toolchain, and may have to make decisions on programming software or language. You may need to decipher a proprietary or specialized communication protocol. A logic analyzer might be necessary.
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If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.
Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
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Based on 3 ratings:
Perfect for my robot using stereo vision and object recognition. Looking forward to more community development in the future. Even got the FLiR Lepton working over GPIO with basically no changes from the RPi setup, fast and easy!
Quick and easy to set up.
Actually, the little computer is 'on its box', a curious way to keep one from shorting out the naked circuit board I am guessing. With a usb camera the Jetson Nano was quickly doing its best to label the scenes that I pointed the camera toward. This is done by feeding the images from the camera to a pre-computed neural network. Now, on to my project: Using machine learning to detect interesting signals in gigabytes of recorded underwater noise.