Design & Development of A 3D Scanner based on a Distance Sensor to Scan Real-life Objects & Implementing in Digital Reality

Abstract

This research aims to scan a real-world 3D object, reconstruct its digital model with internal hollow space data (volume, area), and blend it into augmented reality. When it comes to rebuilding a body, precision is a significant necessity. To scan a three-dimensional object, numerous methods are available. Most of which can only determine the outside dimensions of the entity being scanned. They barely provide any information regarding the hollow surface of the body. And to ensure accuracy, expenses may spike. To reconstruct a 3D object, the distance (e.g., Lidar, GP2Y0A41SK0F, Ultrasonic, etc.) sensor-based 3d scanner comes into play. The proposed system also includes a feature that can measure the hollow space inside the object. The distance sensor bounces laser light, infrared rays, or ultrasound to gauge distance and depth to form a 3D scan. The sensor sends that data to the microcontroller, and then the microcontroller brings that cartesian coordinate data to computer software to build the mesh. For detecting internal hollow space, gamma resonance is used. Furthermore, after scanning an object, Stereolithography or Film box files may be used for various purposes, including integrating with augmented reality, generating 3D prints, creating a video game or CGI avatars, etc. This project can create 3D scanned mesh quickly and accurately of real-world items. The 3D scan data regenerated by the proposed system can merge with augmented reality to simulate the metaverse. Scanning a three-dimensional body can be useful in our everyday lives as well as for research and experimental purposes. This proposed system provides an unbiassed novel strategy for reconstructing 3D internal hollow space with significant accuracy. This research addresses the hypothetical subject of what impact real-world objects portrayed in the digital world will have on mankind's new cyber world.