PERANCANGAN PIPELINE FOTOGRAMETRI PADA PROSES REVERSE ENGINEERING MODEL TIGA DIMENSI DI PT PRESA GENTA ENGINEERING

PT Presa Genta Engineering (PGE) is a manufacturing company that implements an engineer-to-order (ETO) system. The company faces issues in the reverse engineering process, which is time-consuming and has inconsistent accuracy. This research aims to apply photogrammetry techniques in the reverse e...

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Bibliographic Details
Main Author: Farhan Dewanto, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/86117
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:PT Presa Genta Engineering (PGE) is a manufacturing company that implements an engineer-to-order (ETO) system. The company faces issues in the reverse engineering process, which is time-consuming and has inconsistent accuracy. This research aims to apply photogrammetry techniques in the reverse engineering process of three-dimensional models of PT PGE's products as an alternative method for conducting the process. Photogrammetry was chosen as a solution to overcome the limitations of manual methods in measuring and creating computer-aided designs of three-dimensional products. In this study, a photogrammetry-based processing pipeline was designed, integrating the use of smartphones and open-source software to automate the creation of threedimensional models. The pipeline consists of six stages of data collection and processing, which is image capture, image import, structure from motion, multi-view stereo, mesh texturing, and mesh cleaning. This pipeline was tested through experiments with two factors, the image capture angle and the frame interval, verified using basic geometric objects, a prism, and a pyramid. The verified testing was conducted on two objects representing prismatic components, the base part, and cylindrical components, the rotating part. The research results indicate that photogrammetry can produce three-dimensional models with good accuracy. Additionally, the choice of image capture angle and frame interval did not significantly affect the accuracy level or processing time requirements. It was also found that adding image capture angles for the rotating part improved accuracy. The results of this study can be further developed by adding more factors and levels to the experiments.