This $50 earthquake early warning system has the potential to save billions of lives. From Mexico City-based startup Grillo, the alternative device provides a solution for developing countries who can't afford the average $20,000 measurement device.
The earthquake early warning system consists of a small cube and a bypass of information-relaying systems. The Grillo Active is similar to today's smartphones, as it contains features like an accelerometer, GPS and wifi capabilities. It relies on wide sensor placement, so the more are installed, the better. Algorithms look at a variety of factors (like nearby faults) before broadcasting warnings to affected areas, when activity is detected. The Grillo dashboard compiles the gathered data, making recorded seismic activity easily accessible.
Affordable Natural Disaster Detectors
The Earthquake Early Warning System Relies on Accelerometers
Trend Themes
1. Affordable Natural Disaster Detectors - The development of low-cost natural disaster detection technology presents opportunities for cost-effective early warning systems in developing countries.
2. Earthquake Early Warning Systems - The use of accelerometers and information-relaying systems in earthquake early warning devices allows for quick detection and broadcasting of warnings to affected areas.
3. Wide Sensor Placement - The installation of a wide range of sensors enables more accurate detection and monitoring of seismic activity, leading to improved early detection and warning capabilities.
Industry Implications
1. Startup Technology - Startups like Grillo are driving innovation in affordable natural disaster detection and warning systems, disrupting the traditional market dominated by expensive measurement devices.
2. Iot and Sensor Technology - The integration of accelerometers, GPS, and wifi capabilities in earthquake early warning systems demonstrates the potential for IoT and sensor technology in improving disaster preparedness.
3. Data Analytics - The development of dashboards that compile and analyze seismic activity data presents opportunities for data analytics companies to provide valuable insights for disaster monitoring and response.