Leveraging AI for Structural Safety in Mining Operations

The talk explains how anomaly detection models analyze 3D point‑cloud data from mining tunnels to identify deformations, assess risks, and enable early safety interventions.

Overview

The project “Anomalies Detection in Tunnels” focuses on detecting deformations and anomalies in mining tunnels to prevent structural collapses. It employs anomaly detection models applied to point clouds to analyze three-dimensional data captured during mining operations.

The primary goal is to identify and assess deformations or irregularities in tunnel structures that could jeopardize the safety and stability of excavation operations. By utilizing advanced data analysis techniques and machine learning models, the project aims to provide accurate tools for monitoring and early intervention, thus preventing potential collapses and ensuring the integrity of mining operations.