The Spaghetti Detective is an open-source project (500+ stars on github) used by hundreds of Jetson Nano fans who are also 3D printing enthusiasts.
Under the hood, The Spaghetti Detective is based on a Convolutional Neural Network architecture called YOLO. It is essentially a super-fast objection-detection model.
The Spaghetti Detective (disclaimer: I’m the developer of this project) was initially created to run on a general-purpose PC for personal use, or Nvidian GPU VMs in the cloud. But more and more users have told me Jetson Nano is a perfect fit for this project. Some users are monitoring 5+ 3D printers at the same time with just 1 Jetson Nano. As a reference, I’m monitoring 10k+ 3D printers for our users with a few GPU VMs in the cloud.
Inspired by the fact that every day there are a few users who asked me about running The Spaghetti Detective on a Jetson Nano, I recently published this guide.
Feel free to ask me any questions about this project.
Edit: An example below. Here are more examples.
Developer of The Spaghetti Detective