A novel design of a smart interactive guiding robot for busy airports

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI:10.2478/ijssis-2022-0017

Hoa T. Tran, Thanh C. Vo, Quan NA. Nguyen, Quang N. Pham, Duyen M. Ha, Thanh Q. Le, Thang K. Nguyen, Dong LT. Tran, Hai T. Do, M. T. Nguyen

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引用次数: 1

Abstract

Abstract The COVID-19 pandemic has had a massive impact on the global aviation industry. As a result, the airline industry has been forced to embrace new technologies and procedures in order to provide a more secure and bio-safe travel. Currently, the role of smart technology in airport systems has expanded significantly as a result of the contemporary Industry 4.0 context. The article presents a novel construction of an intelligent mobile robot system to guide passengers to take the plane at the departure terminals at busy airports. The robot provides instructions to the customer through the interaction between the robot and the customer utilizing voice communications. The usage of the Google Cloud Speech-to-Text API combined with technical machine learning to analyze and understand the customer's requirements are deployed. In addition, we use a face detection technique based on Multi-task Cascaded Convolutional Networks (MTCNN) to predict the distance between the robot and passengers to perform the function. The robot can guide passengers to desired areas in the terminal. The results and evaluation of the implementation process are also mentioned in the article and show promise.

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一种用于繁忙机场的智能交互式引导机器人的新设计

新冠肺炎疫情对全球航空业产生了巨大影响。因此，航空业被迫采用新技术和新程序，以提供更安全和生物安全的旅行。目前，智能技术在机场系统中的作用在当代工业4.0背景下得到了显著扩展。本文提出了一种新颖的智能移动机器人系统结构，用于在繁忙的机场出发航站楼引导旅客登机。该机器人利用语音通信，通过机器人与客户之间的交互向客户提供指令。使用谷歌云语音到文本API结合技术机器学习来分析和理解客户的需求。此外，我们使用基于多任务级联卷积网络(MTCNN)的人脸检测技术来预测机器人与乘客之间的距离以执行该功能。该机器人可以引导乘客到达航站楼的指定区域。文章还提到了实施过程的结果和评价，并显示出希望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity