@inproceedings{d1c603d584144bf08cd4cb936021c356,
title = "Design and Implementation of an AR Inspection System for an Unmanned Gas Transmission Station",
abstract = "Time-consuming, labor-intensive, poor real-time performance, and similar problems of artificial station inspection need to be solved. Here, an AR inspection system is proposed to replace manual inspection to effectively monitor the working status of equipment and improve the design method of intelligent inspection systems, which are used to monitor onsite environmental conditions. This proposed method uses a panoramic camera to capture onsite audio and video data, collects a variety of sensor data, and integrates these two types of data in real time. The method can provide intelligent anomaly detection and alarm functions and push audio and video streams to the office terminal through RTMP protocol, indicating great convenience for patrol inspection.",
keywords = "AR, RTMP, audio and video, inspection, intelligent",
author = "Weibin Wang and Hongqiang Dang and Lixiao Xie and Zengzhan Zhang and Kai Li and Xiaoli Huo and Hanying Li and Cuicui Zhang and Kaiyuan Guan and Yuanwei Lin and Yang Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022 ; Conference date: 16-09-2022 Through 19-09-2022",
year = "2022",
doi = "10.1109/ICNISC57059.2022.00064",
language = "英语",
series = "Proceedings - 2022 8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "284--289",
booktitle = "Proceedings - 2022 8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022",
}