Dev Kit Weekly: Seeed Studio reComputer J1010 Edge AI Device
Check out Roboflow’s wildfire smoke image database:
https://public.roboflow.com/object-de....
Enter the raffle (linked below) to win your free Seeed Studio reComputer J1010:
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If you want your electronic system to “see,” you’re going to need deep learning-based object detection capabilities. And if you’re running object detection algorithms in a remote safety application like wildfire smoke plume monitoring, you’re going to need a hardware platform with sufficient resources to capture and classify dangerous events as soon as they happen.
Seeed Studio’s reComputer J1010 Edge AI device is powered by a 4GB NVIDIA Jetson Nano module that houses not only a Quad-core ARM Cortex-A57 MPCore CPU, but also a Maxwell GPU with 128 NVIDIA CUDA® cores that brings 472 Gigaflops of performance to the table. It supports up to four cameras via 12 MIPI CSI-2 lanes and an 18 Gbps D-PHY 1.1 interface and encode 4K video channels at 30 frames per second while decoding them twice that fast.
Courtesy the Jetson Nano, the reComputer J1010 comes with NVIDIA’s JetPack SDK pre-installed, providing out-of-the-box support for the entirety of the Jetson software stack like Jetson Linux, pre-trained neural networks, accelerated libraries, drivers, and oodles of other helpful tools, including numerous example projects focused on how to develop and deploy object detection in various use cases to help you get started.
So now you have everything you need (and more, honestly) to get your object detecting applications off the ground with all sorts of pre-trained models or your very own. If you’d like to get your own, the reComputer J1010 is available for purchase on Seeed Studio’s product page for $199.00 — or $179.00 each if you purchase 10 or more. Of course, as always, you can also enter the raffle linked onscreen and above for a chance to win this kit for free. If you win, we’ll ship it right to your door, anywhere in the world, at no cost to you.