RGB-D CAMERA-BASED 3D SCANNER PROTOTYPE FOR HAND ANTHROPOMETRY

• Main Author: Norman Firdaus, Achmad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/73157
• Institution: Institut Teknologi Bandung

<p align="justify">The application of additive manufacturing for production efficiency in industry is needed to produce a minimum cost burden, especially in the health sector. Making hand orthoses with a high body size match produces minimal waste with the principle of additive manufacturing and can maximize the rehabilitation. 3D scanning measurements using Intel RealSense cameras with RGB-D camera types are used to measure the arm dimensions of patients to carry out the concept of additive manufacturing. design of 3D hand scanning methods using several types of cameras and system protocols to produce 3D displays. This study was conducted based on anthropometric measurement data on a group of respondents who are samples of part of a population with certain conditions. In the upper limbs of humans, there are several points that become references in anthropometric measurements. The digital measurement tools used in this research are the Intel RealSense D435i RGB-D camera and the Intel RealSense SR300 coded light-based 3D system sense scanner. The results of the 3D scan are reconstructed with the stages of feature extraction, feature matching, registration, loop closure detection, pose graph optimization, and meshing. After obtaining the 3D shape, processing in the form of manual segmentation and convex hull is applied to obtain a transverse view of the hand dimensions. then with a hand reference that becomes a reference for unit conversion from pixels to centimeters (cm). The results of 3D data processing conclude from the 2 proposed methods, namely method 1 using a camera rotating device without a hand support and method 2 using a camera rotating device and a hand support that method 1 is suitable for patients' hands that are still strong to support their hands during the scanning process while method 2 is suitable for patients' hands that are weak to hold stable conditions during the scanning process, only this is a consequence that the hand features in method 2 cannot be scanned completely because the camera rotating rod is blocked by the hand support. Then the camera that has an advantage in terms of good scanning results is the System Sense 3D Scanner with smaller error results compared to the Intel RealSense D435i depth camera.