Augmented Reality for Evaluating Low Environmental Impact 3D Concepts in Industrial Design

Augmented Reality for Evaluating Low Environmental Impact 3D Concepts in Industrial Design

Omar E. Sánchez Estrada (Universidad Autónoma del Estado de México, Mexico), Mario Gerson Urbina (University Autonomous of the State of Mexico, Mexico) and Raymundo Ocaña (University Autonomous of the State of Mexico, Mexico)
Copyright: © 2018 |Pages: 24
DOI: 10.4018/978-1-5225-5243-7.ch009

Abstract

This work uses augmented reality (AR) as a supplementary tool in teacher's evaluation of low environmental impact 3D concepts in industrial design, which are part of contents in subjects taken by fifth semester undergraduate students of Industrial Design at the Autonomous University of the State of Mexico (UAEM), specifically in the Tool Design Workshop. Design criteria are presented and they will be used to evaluate 3D concepts through the use of AR. The project is developed in three stages: 1) presenting the 3D concept through AR scenarios in order to be evaluated, 2) visual evaluation with established technical criteria, and 3) evaluation feedback so as to improve the 3D concept. The aim is to reduce evaluation subjectivity in order to reduce production costs, waste generation, and energy use in producing mockups and models.
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Background

In recent years, AR research has improved and extended to different study areas, while the same thing has happened in data processing and development of devices that include digital cameras, state-of-the-art sensors and global positioning systems. However, authors such as Uva, Cristiano, Florentino and Monno (2010) affirm that tools for computer-aided technologies do not provide good support when carrying out a review of design’s concepts, prefiguration and figuration, mainly for the following matters: (a) subsequent applications integration; (b) finite element methods (FEM); (c) usability; (d) complex design knowledge; (e) system configuration management and; (f) web contents support. In a different way, AR improves perception of industrial objects with digital and multimedia data annotations (Friedrich, Jahn, & Schmidt, 2002).

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