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NVIDIA Jetson

Real-time YOLOv7/YOLOv7‑Tiny object detection on low‑powered Jetson Orin Nano using TensorRT and a multi‑threaded ROS 1 pipeline for edge robotics, drone monitoring.

Video recording platform that synchronised 2D and 3D video streams from a fleet of heterogenous cameras.

Edge devices (RPi 3/4, NVIDIA Jetson) capture video from UVC and Intel RealSense cameras and compress it using pre-existing lossy 2D codecs and either lossless or lossy 3D codecs (new).

The project contains GStreamer elements for capturing Intel RealSense cameras, handling RGB-D video streams in GStreamer, lossless 3D video compression using RVL and lossy 3D video compression utilising standard video codecs.

The project is primarily AGPL- 3 licensed, with parts licensed under LGPL-3 .

Feel free to join our Discord server at: https://discord.gg/ZSpgTSdEuZ

This is the Python script which runs on Spud's Head Nano to detect faces. It communicates with other processors via ethernet.

This project was seeded by Mike Soniat's example. The first commit is Soniat's unmodified project.

See Soniat's files 'AI Face Following.pptx', 'AI Face Following.mov', and 'AI Face Following with Jetson Nano.mov' in the repository for more info.

This is the Python script which runs on Spud's Head Nano to detect and classify objects. It communicates with other processors via ethernet.

This project was seeded by Mike Soniat's example. The first commit is Soniat's unmodified project.

This is the Python script which runs on Spud's Head Nano to recognize faces. It communicates with other processors via ethernet.

This project was seeded by Mike Soniat's example. The first commit is Soniat's unmodified project.

See Soniat's file 'AI Face Recognizer.pptx' in the repository for more info.

This git repository provides the necessary files and guides needed to add a radar to a Jetbot, with the intent of making it drive autonomously.