Machine Learning Techniques for Classification and Prediction of Structures and Rocks

Knowledge of the rocks, concrete, or constructions is often necessary. Mineshaft operations, salvage efforts, and tunneling are a few examples of such analyses. The real time analysis of the rocks and structures is one of the research areas where there are much things to explore and problems to solve. I propose a solution for the problem of real-time evaluation of the rocks and buildings based on machine learning algorithm. The structure and other properties of the stones, concretes, etc.…. are captured using sophisticated cameras and sensors. Support Vector Machine (SVM) is one of the most incredible AI procedures for performing grouping. Support Vector Network with outlier filters find and spots the outliers before the classification process. The proposed process classifies and predicts the type of rock under study with correctness precision of 85% in comparison with real characteristics of the rock.