Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

SeismicAI's Earthquake Early Warning Systems



SeismicAI's Earthquake Early Warning Systems

SeismicAI is a provider of innovative Earthquake Early Warning Systems (EEW) ensuring earthquake preparedness. SeismicAI's algorithms utilise local sensors to issue high-precision alerts for earthquake preparedness. The system covers the full early warning cycle - from monitoring and reporting, through alerts, to optionally triggering automated preventive actions.

SeismicAI provides a high-precision Earthquake Early Warning (EEW) system designed to enhance preparedness and resilience in the face of seismic events. Its technology enables organisations to initiate vital preventive measures, reducing downtime and ensuring faster recovery after an earthquake. The system minimises false alarms, preventing unnecessary infrastructure shutdowns or costly adaptations, and features round-the-clock monitoring that can also detect facility maintenance issues caused by even mild tremors. This advanced warning system is particularly critical for municipalities, where earthquakes and tsunamis pose severe risks to public buildings such as schools, hospitals, and kindergartens, as well as to essential infrastructure like transport networks and utilities. Many regions either lack a warning solution or rely on outdated systems with limited accuracy and insufficient response time. SeismicAI’s system provides crucial seconds of warning, allowing individuals to seek safety and enabling automated emergency procedures tailored to various public settings. Additionally, it supports the protection of critical services, helping to mitigate long-term damage and financial loss.

Some use cases include:

  • Smart city integration: EEW integrates with businesses' communication systems, leveraging IoT and cloud computing to provide alerts to customers at unparalleled speed, accuracy and reliability, 24/7, for real-time responses to disasters and emergencies.
  • Public buildings: EEW can mitigate damages by triggering preventive actions such as switching on safe mode for equipment, elevators and gates, reducing gas pressure, waste water and power shut-off, alerting children and inhabitants by SMS/audiovisual alert, and halting sensitive procedures.
  • Transportation: EEW can trigger automatic braking mechanisms for trains, reroute air traffic, and activate alerts on road signs to prevent accidents and ensure the safety of passengers and workers.
  • Utilities: EEW can trigger preventives actions for power station safety, reduce gas pressure, hydrogen evaporation, substation protection, waste water shut-off, electricity and water mains shutoff. Finally, it can issue a post-event report to assess potential damages to pipes.
  • First responders: EEW could offer rescue teams precious moments to strategically allocate resources, secure equipment and coordinate and start preparing rescue efforts. An early alert can minimise their exposure to immediate danger and implement more effective evacuation procedures, safeguarding their invaluable contributions to disaster relief efforts.

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Tags:

  • cloud computing
  • disaster management
  • geospatial information systems
  • natural disasters

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.