Published Paper Details:

This project outlines a cost-effective 3D scanning solution utilizing Arduino Nano technology. It utilizes structured light to capture the geometry of objects. The hardware setup comprises an Arduino Nano microcontroller, a camera module, and a laser module for structured light projection. Software-wise, it employs an open-source computer vision library for image processing and depth map generation. The workflow involves system calibration to ensure optimal performance and accuracy. Once calibrated, the structured light pattern is projected onto the object, and images are captured by the camera. These images are then processed to extract depth information, enabling the reconstruction of the object's 3D model. The resulting point cloud data can be refined further for improved accuracy. To evaluate the scanner's performance, experiments are conducted with objects of various shapes and sizes. Metrics such as accuracy, resolution, and scanning speed are analysed to gauge its practical usability. Overall, the developed 3D scanner demonstrates its ability to generate detailed and accurate 3D models, making it suitable for applications like rapid prototyping, reverse engineering, and educational purposes.