| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 5 | |
| Section | Automation and Nontraditional Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201817302023 | |
| Published online | 19 June 2018 | |
Object Recognition of Environmental Information in the Internet of Things Based on Augmented Reality
Xi‘an University of Science and Technology, Xi‘an, Shaanx, China
* Corresponding author : wangm@xust.edu.cn
With the rapid development of Internet of things, on the basis of existing mine technology, As the basic digital mine, the detection system will become more and more mature with the construction of digital mines.This article takes China‘s coal production as the main basis, developed a matching coal mine augmented reality system, This article uses augmented reality technology to provide information through computer systems, increase the perception of coal mine workers on the real environment, and superimpose computer-generated prompt information into the real scene of the coal mine, realize "enhancement" of real coal mine environment.The experimental results show that this system is workable.Object recognition of environmental information in the Internet of things based on augmented reality system designed and implemented in this paper, in providing a new direction for Research on IoT Smart Mines and Application of Mobile Devices.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.