Following the double earthquake recorded on June 24, the Ministry of Popular Power for Science and Technology (Mincyt) launched an innovative technological tool aimed at transforming risk management in Venezuela.
This is a system developed with artificial intelligence and multimodal models, specifically designed for the detection, recognition and automatic categorization of damage caused to infrastructure in the affected areas.
This solution represents a milestone in the application of national science to natural disasters.
By integrating advanced visual data processing algorithms, the platform allows for detailed diagnoses in significantly shorter times than those required by traditional inspection methods, thus ensuring an accurate assessment of structural impacts.
The core function of this system lies in the generation of a dynamic and intuitive heat map that facilitates the visual interpretation of the severity of the disaster.
The color scale used by the tool ranges from intense red tones, intended to indicate areas in a situation of extreme severity or risk of collapse, to yellow tones that identify minor damage or superficial effects.
According to information published so far on the ministry's website, specialists in the field, including Lino Meneses and Walter Pulido, use this instrument to accurately determine the geographic coordinates of the points analyzed, as well as the technical condition of the buildings evaluated.
The accuracy of georeferenced data is a differentiating factor, since it reduces the margin of error and prioritizes immediate attention in the most vulnerable sectors of La Guaira state.
Satellite and drone imagery. Ronald Delgado, Director General of Artificial Intelligence at Mincyt, explains that the technical pillar of the model is based on multi-temporal comparative analysis.
The platform processes combinations of high-resolution satellite images and aerial photographs obtained by unmanned aerial vehicles (drones), and compares the state of the infrastructure before and after the earthquake event.
The expert assures that this composite spatial analysis allows algorithms to identify variations in the geometry of constructions, ground displacements, structural cracks, and partial or total collapses.
The end result of this processing is a comprehensive overview of the impact on the area, structured through automated reports and databases ready for decision-making.
State Response
The information processed by the artificial intelligence platform doesn't remain theoretical. In order to guarantee an effective response on the ground, the Ministry of Science, Technology and Innovation (Mincyt) channels technical reports and georeferenced maps to the agencies responsible for direct assistance and citizen security.
Among the main recipients of this information are the Bolivarian National Armed Forces in support of rescue efforts, logistical deployment and protection of communities, Civil Protection in the coordination of relief operations, preventive evacuation and primary care, and the Presidential Commission for Infrastructure Review in the planning of priority rehabilitation, reinforcement or reconstruction works.
This inter-institutional coordination ensures that operational and relief resources are deployed to the truly critical points, thereby optimizing response times and reducing secondary risks for rescue personnel.
Comprehensive risk management
Beyond the immediate context of the seismic event, Ronald Delgado emphasized that this technological development aligns with the strategic vision of open science applied to social welfare. The tool aims to strengthen the Venezuelan state's technical capabilities for making operational decisions based on objective data.
The combination of technological sovereignty, risk management, and innovation in artificial intelligence positions this system as a pillar in preparing for future natural events, prioritizing urban resilience and the direct benefit of affected communities, emphasizes the Ministry of Science and Technology.
The integration of these artificial intelligence models marks a qualitative change in the way the country responds to large-scale contingencies that affect the population.
Innovation system
Through comparative analysis of drone and satellite images before and after the disaster, the new AI system generates georeferenced heat maps —from critical red to minor yellow— that drastically reduce response times and identify the exact coordinates of collapsed structures to channel immediate aid and respect rescue channels.
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