Automated asset deterioration analysis

To optimise the quality of steel wire by ensuring uniform phosphate coverage, a custom AI solution was built en implemented. By dividing microscope images at a 4000x magnification into several sections, detailed analysis of the phosphate distribution on each part of the steel wire is achieved. ML6 has transitioned from reliance on manual inspection to a data-driven approach, extracting quantitative information from Scanning Electron Microscope (SEM) images automatically. The machine learning models can effectively predict phosphate density, directly from raw SEM images, marking a significant leap forward in precision and efficiency for quality control processes.