A 2022 Swinburne Final Year Project to develop a Pose Detector using OpenCV which can be deployed on a Raspberry Pi 4B.

Documenation and Guide are within 'Docs + Guide' Folder'

Daniel Leong - [email protected] | [email protected]

Parth Patel - [email protected]

Preenit Kshirsagar - [email protected]

Dylan Were - [email protected]

Based on ArUco within OpenCV Contrib:

https://docs.opencv.org/4.x/d9/d6d/tutorial_table_of_content_aruco.html

https://github.com/GSNCodes/ArUCo-Markers-Pose-Estimation-Generation-Python

Aruco using OpenCV on Raspberry Pi:

Part 1 setup - https://www.youtube.com/watch?v=mBOfx-wRB2Q

Part 2 calibration - https://www.youtube.com/watch?v=XFBKwme5HYk

Part 3 Detect marker and pose - https://www.youtube.com/watch?v=cIVZRuVdv1o

This also implements the usage of a Pan-Tilt HAT from Pimoroni:

https://shop.pimoroni.com/products/pan-tilt-hat?variant=22408353287

Inspired by Easiest Pan-Tilt System for the Raspberry Pi - Quick Start Guide with Pimoroni Picade HAT

https://www.youtube.com/watch?v=Dc9AEFw0hww

Simulation software used is CoppeliaSim - https://www.coppeliarobotics.com/