Preprint Article Version 1 This version is not peer-reviewed

Automatic Monitoring System Based on IoT and Vision Technology

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. Preprints 2018, 2018040043 (doi: 10.20944/preprints201804.0043.v1). Chang, T.; Lee, L. Automatic Monitoring System Based on IoT and Vision Technology. Preprints 2018, 2018040043 (doi: 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.

Subject Areas

monitoring; SfM-MVS; photogrammetry; internet of things; M3C2

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