Latest / Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT
How IoT Sensors Predict Landslide Risk in Real Time
In this episode, Lucas and Luna explore how a network of IoT sensors is being used to predict landslides in real time along a vulnerable stretch of highway in the Himalayan foothills. They break down the specific sensor types—tiltmeters, pore-pressure gauges, and acoustic emission monitors—and how data from these devices feeds into a machine learning model that can issue warnings 48 hours in advance. The episode also covers the challenges of powering sensors in remote, high-altitude environments and the cost savings compared to traditional geotechnical surveys. A concrete look at how…
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