Synergistic Integration of Techniques of VC, Communication Technologies and Unities of Calculation Transportable for Generate a System Embedded That Monitors Pyroclastic Flows in Real Time

TL;DR

This paper presents an embedded system that integrates artificial vision, communication technologies, and calculation units to monitor pyroclastic flows in real time for early warning purposes.

Contribution

It introduces a novel integrated system combining vision analysis and communication tech for automatic real-time volcanic flow monitoring.

Findings

High efficiency in analyzing flow trajectories and quantities

Real-time automatic behavior analysis of volcanic flows

Effective communication of warnings to affected populations

Abstract

At the end of an extensive investigation of the volcanic eruptions in the world, we determined patterns that coincide in this process, this data can be analyzed by artificial vision, obtaining the largest amount of information from images in an embedded system, using monitoring algorithms for compare continuous matrices, control camera positioning and link this information with mass communication technologies. The present work shows the development of a viable early warning technology solution that allows to analyze the behavior of volcanic flows automatically in a rash in real time, with a very high level of efficiency in the analysis of possible trajectories, direction and quantity of the lava flows as well as the massive mass media directed to the affected people.