Version 1
: Received: 3 April 2018 / Approved: 4 April 2018 / Online: 4 April 2018 (04:53:34 CEST)
How to cite:
Chang, T.; Lee, L. Automatic Monitoring System Based on IoT and Vision Technology. Preprints2018, 2018040043. https://doi.org/10.20944/preprints201804.0043.v1
Chang, T.; Lee, L. Automatic Monitoring System Based on IoT and Vision Technology. Preprints 2018, 2018040043. https://doi.org/10.20944/preprints201804.0043.v1
Chang, T.; Lee, L. Automatic Monitoring System Based on IoT and Vision Technology. Preprints2018, 2018040043. https://doi.org/10.20944/preprints201804.0043.v1
APA Style
Chang, T., & Lee, L. (2018). Automatic Monitoring System Based on IoT and Vision Technology. Preprints. https://doi.org/10.20944/preprints201804.0043.v1
Chicago/Turabian Style
Chang, T. and Liang-Hwei Lee. 2018 "Automatic Monitoring System Based on IoT and Vision Technology" Preprints. https://doi.org/10.20944/preprints201804.0043.v1
Abstract
Multi-view stereo (MVS) employs multi-point photography for image point positioning and three-dimensional reconstruction technology. Recently, this technology has been introduced into the monitoring of road slopes due to advances in photography and computing technology. In general, the various phases of post-image processing procedures are applied to various photographic data. In this study a novel, automated image-monitoring system is proposed to improve the ability of automatic processing. First, an Internet of things (IoT)-based digital photography system architecture was constructed to provide automatic control of camera photography and real-time transmission of image data. In addition, a visual SfM-MVS 3D reconstruction technique was used to develop related software and hardware interfaces based on the built-in Python computing framework of Photoscan Pro. The software integrates fully automatic photography, image transmission, monitoring of data processing and product release programs. The experimental results show that the system architecture can be applied to fully automatic three-dimensional monitoring of road slopes.
Keywords
monitoring; SfM-MVS; photogrammetry; internet of things; M3C2
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.