More than 1200 volunteers participated during the earthquake response, 10 tons of supplies were managed and distributed by the CIV for more than 3 months in zone 0 of the disaster.
During the response to the 19S earthquake, the CIV organized more than 180 brigades. Each one is made up of between 3 and 12 civilian volunteers from all over the Mexican Republic, with different professions and characteristics, but united under the motto "Civilians helping Civilians." Of all the brigades, the 55th displayed distinguishable tenacity and courage as they prevailed together against all odds. To this day, the 55th brigade remains united and ready to respond in the event of a future disaster.
ENGINEERING AND SOCIAL SERVICE projects
Collaboration with multiple engineering departments of the Instituto Tecnológico de Estudios Superiores de Monterrey [ITAM]. To date 22 Engineers have graduated with projects of engineering, his theses seek to solve specific problems in matters of administration and disaster management
The CIV provided support in the city of Jojutla de Juárez by carrying out logistics, intelligence and precision demolitions. Two years after the incident, the municipal government called a ceremony to recognize the work of the CIV.
drone chassis [VATRE]
The efforts of social service students and engineering projects have resulted in the design of several unmanned aircraft specialized in disaster response.
Collaboration with the data science master's department Instituto Tecnológico Autonomous Mexican [ITAM]. A convolutional neural network was developed capable of detecting collapsed buildings among other critical elements of interest during a disaster.
The CIV in close collaboration with the Monterrey Institute of Technology and Higher Studies, we have developed the next level in the VATRE and SIRAC projects.
sirac Development of an Image Analysis Algorithm for Building Integrity Assessment after Earthquakes
The CIV in collaboration with the computing department of Imperial College in London has taken the SIRAC project to a new standard of image identification and characterization.