This repository contains software components developed for the @NTU-Mecatron Computer Vision Workshop — a hands-on educational platform designed to teach robotics, embedded systems and computer vision.

• Arduino code
• OpenCV code

• SDK: Software Development Kit
  Contains the firmware and host-side code needed to operate the EduBoat system. Detailed software documentation is available here.

The hardware components include 1. Electrical connections; 2. Mechanical design of the gimbal camera itself.

Note: Hardware assets — such as the 3D models for the robotic arm are not yet publicly released.

The gimbal camera is powered by an Arduino UNO, which is connected to a host PC. The software component consists of 1. Firmware to be run on the MCU (to control the physical position of the camera); 2. Software to be run on the host PC (performing computer vision recognition).

Based on the relative position of the target recognised object in the camera, the gimbal is commanded to be towards the detected object, to keep it in the center of the screen

This project was developed by the @NTU-Mecatron team. Special thanks to student contributors and teaching assistants who made the Computer Vision Workshop possible.

Scott*, Rushdon

Scott*, Luc*, Wei Ming, Brian

* Head of development for respective category

Thanks to student contributors, teaching assistants, and NTU’s support for making the Computer Vision Workshop possible.

This project includes both software and hardware components:

• Software is licensed under the GNU General Public License v3.0.
• Hardware is licensed under the CERN Open Hardware Licence Version 2 – Strongly Reciprocal (CERN-OHL-S v2).

If you intend to use this project for your own research, educational delivery, or derivative workshops, we ask that you:

• Contact us at @NTU-Mecatron to discuss collaboration or reuse
• Credit the original developers appropriately in your materials or publications

We value open-source contribution, but also recognize the efforts and resources invested in this platform. Help us ensure responsible reuse and attribution.

If you use this repository in your research or educational material, please cite it using the CITATION.cff file provided. GitHub automatically extracts citation metadata, which can also be accessed using the “Cite this repository” button on the GitHub page.