Transforming Geotechnical Intelligence Through AI-Driven Vision
At SeeRock, we use AI-driven computer vision to extract reliable, high-resolution geotechnical intelligence from visual data in both laboratory and field environments.
The extracted information is organised into structured, model-ready representations that support rock mass characterisation, numerical modelling, and excavation design.
Core Technologies
Vision-Based Rock Mass Structure Perception
AI-driven vision extracts joints, fractures, and discontinuities from cores, exposed faces, and excavation fronts, enabling objective and repeatable structural characterisation for downstream modelling.
Rock Mineralogical and Material Composition Characterisation
Material-level interpretation from CT and high-resolution imagery to quantify mineral and phase composition and heterogeneity across scales.
Rock Fragment & Block-Scale Recognition and Size Distribution
Scene understanding segments blocks and fragments from images and point clouds, quantifying shape and robust size distributions to characterise fragmentation patterns.
Rock Mechanical Property Characterisation
Combines visual texture analysis, scratch testing, and data-driven inference to estimate strength- and stiffness-related properties with spatial resolution.
Multi-Source DFN Construction and Subsurface Structure Modelling
Fuses boreholes, core observations, and repeated face mapping to build uncertainty-aware discrete fracture networks for subsurface prediction.
Spatial Embedding and High-Definition 3D Structural Modelling
Registers extracted features into consistent 3D engineering space, producing high-definition structural models ready for digital-twin workflows.
Engineering-Scale Block Modelling and Rock Mass Classification
Integrates structure, mechanics, and block statistics to generate engineering-scale block models and automated rock mass classification.
AI-Accelerated Numerical Modelling and Simulation
Accelerates physics-based modelling via surrogate models, calibration, and rapid scenario evaluation across continuum and discontinuum frameworks.
Sponsors & Partners
Who We Are
SeeRock was founded by a team of academic experts who recognised the challenges faced during traditional mining operations. With SeeRock, we aim to improve mining efficiency and safety at a more affordable price point.
Learn more