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
This addresses the problem of real-time volcanic hazard monitoring for public safety, though it appears incremental as it combines existing technologies.
The researchers developed an embedded system that monitors pyroclastic flows in real time by integrating computer vision, communication technologies, and portable computing units to analyze volcanic eruption patterns from images. The system provides early warnings with high efficiency in analyzing trajectories, direction, and quantity of lava flows, along with mass communication to affected people.
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.