Year: 2025
Type: article
Abstract: This study aims to develop a goniometer for capturing images of a real object placed on the goniometer table and regenerating a 3D virtual model of the same object using a series of captured images. The system captures 100 images of the object while the table rotates 360°. By utilizing images taken with a NoIR camera, a 3D virtual model of the real object can be generated. A centralized Raspberry Pi board controls all components of the goniometer. The system includes a control interface that connects to a PC via a Wi-Fi network. Using this interface, the rotation angle of the goniometer table can be adjusted with a minimum step size of 0.9°. The table is connected to a stepper motor, which enables rotation up to 360° with 400 steps per full rotation. As the table rotates, the NoIR camera, connected to the Raspberry Pi, captures images of the object. Additionally, the goniometer includes a rotatable and brightness-adjustable white LED light source. This LED source illuminates the real object on the table and can be controlled via the interface.
Author: Chandana Deshapriya Weeramalage
Language: English
Subfield: Geology
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407717100