In collaboration with the University of Leeds Brotherton Library, this project features a cost-effective 3D coin scanner utilizing Reflectance Transformation Imaging (RTI). Designed to overcome the limitations of photogrammetry on shiny surfaces, the system uses a Canon macro lens and an Arduino-controlled RGB LED strip to capture complex surface geometry from a single camera source. This 3D design, based on research and existing technologies, was modeled and rendered in Blender and realized through 3D printing to provide a precise, automated solution for digital preservation. The approach successfully captures high-fidelity mesh geometry of thin artifacts like coins using as few as four images, offering an accessible alternative to industrial scanning methods. More info here:
https://dcch.leeds.ac.uk/weaves-and-treasures-bridging-the-past-and-future-through-accessible-digital-preservation/
Captured Coin Geometry
Another Captured Coin Geometry
Visual demonstration of internal lighting