DigiClone 3D: A Distance Sensor-based Approach to Design a 3D Scanner to Scan Real-life Objects & Implement in Digital Reality

In the rapidly advancing field of technology, the merging of the physical and digital realms has emerged as a crucial breakthrough. 3D models may have a variety of applications, such as AR, VR, 3D Printing and so on. In this research, we propose a system called Digiclone that can scan real-world 3D objects, reconstruct their digital models, and incorporate them into augmented reality (AR). Traditional 3D scanning methods capture only external dimensions, often missing internal hollow spaces. The proposed system utilizes distance sensors (e.g., Lidar, infrared, ultrasonic) to accurately measure both external and internal hollow spaces. Distance and depth data are collected by the sensors, and a microcontroller processes the data to produce a 3D mesh using computer software. Gamma resonance is used to measure the internal empty area of an object. This system offers a novel, precise approach to reconstructing 3D objects with internal details, which is vital for research and real-world applications.