Transforming Geotechnical Insight Through AI and Digital Core Technology
At SeeRock, we use advanced imaging, artificial intelligence, and mechanical testing to convert physical core boxes into detailed digital models. Our technology automatically captures rock core data, detects fractures, and evaluates rock strength — providing faster, more accurate insights for geotechnical analysis and mine design.
Automated Fracture Detection from Core Boxes
With our custom developed hardware and software, we digitise and analyse core boxes using advanced AI algorithms and computer vision technology to extract rock fracture information.
Scratch Test for Rock Strength Evaluation
Besides fracture detection, our custom hardware also conducts scratch tests on core sample surfaces, providing quantitative data on unconfined compressive strength (UCS) and other strength properties.
AI-Based DFN Construction from Sparse Borehole Data
Leveraging GANs and deep learning, we reconstruct realistic 2D and 3D Discrete Fracture Networks from limited borehole input, supporting subsurface prediction and planning.
Structure Mapping Using Point Cloud Processing
By utilising AI algorithms and point cloud processing technology, we map rock fracture data into 3D space.
Automated AI-based Scene Adaptive Rock Fragment Recognition
We use computer vision and deep learning algorithms to automatically detect and recognise the size and shape of rock fragments, from rock images.
Predictive Model for Block Engineering Rock Mass Classification Based On Multimodal Data Fusion
Our technology performs block-wise analysis and automatic classification of rock masses at the engineering scale through multimodal data fusion. By integrating data from multiple sources, it significantly improves the accuracy and reliability of geotechnical assessments.
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.
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