Artificial intelligence (AI) is a key element in landslide monitoring, as it enables efficient management of the data collected by monitoring sensors. Traditionally, the analysis of this data would have been performed manually, but thanks to AI, it is now possible to process huge amounts of data in real time and automatically detect signs of risk.
In landslide monitoring, AI is used to analyze data related to ground movement, soil saturation, and temperature variations. Machine learning algorithms, for example, can be trained to recognize patterns of ground behavior that precede a landslide, such as slow but continuous movements that could indicate an area at risk.
Avacam‘s devices are equipped with AI that processes data from sensors in real time, immediately alerting operators if abnormal behavior or warning signs of landslides are detected. In addition, AI helps reduce false alarms by distinguishing between normal ground oscillations and real signs of instability.
This increases the reliability of the system and optimizes operational efficiency, reducing costs and response times.
