基于ar的自动维修引导对象状态识别

P. Dvorák, Radovan Josth, Elisabetta Delponte
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引用次数: 3

摘要

本文描述了一个基于增强现实(AR)的系统的组件,该系统主要用于支持制造和维修行业的工人。特别地,它描述了一个负责验证已执行步骤的组件。在制造和维修行业中,正确的处理是至关重要的,偏差可能会在生产和组装的后期阶段造成问题。这种支持系统的主要目的是使新员工的培训更快、更有效,并减少错误率。我们提出了一种自动识别对象状态的方法,目的是验证用户执行的一组任务。该方法的新颖之处在于,系统可以自动识别物体的状态,并使用AR可视化功能向操作员提供即时反馈,从而实现全自动分步指令。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object State Recognition for Automatic AR-Based Maintenance Guidance
This paper describes a component of an Augmented Reality (AR) based system focused on supporting workers in manufacturing and maintenance industry. Particularly, it describes a component responsible for verification of performed steps. Correct handling is crucial in both manufacturing and maintenance industries and deviations may cause problems in later stages of the production and assembly. The primary aim of such support systems is making the training of new employees faster and more efficient and reducing the error rate. We present a method for automatically recognizing an object's state with the objective of verifying a set of tasks performed by a user. The novelty of our approach is that the system can automatically recognize the state of the object and provide immediate feedback to the operator using an AR visualization enabling fully automatic step-by-step instructions.
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