Department of Computing, LNBTI - Japanese IT University, Maharagama, Sri Lanka.
International Journal of Science and Research Archive, 2025, 14(02), 1048-1056
Article DOI: 10.30574/ijsra.2025.14.2.0241
Received on 14 December 2024; revised on 10 February 2025; accepted on 13 February 2025
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.
Development goniometer; Series of images; 3D virtual model generation; 3D virtual model reconstruction
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Chandana Deshapriya Weeramalage. Development of a Goniometer to capture 3D models using Pi Noi camera. International Journal of Science and Research Archive, 2025, 14(02), 1048-1056. Article DOI: https://doi.org/10.30574/ijsra.2025.14.2.0241.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
