  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.
