Case Study
Improve Corrosion Management & Ensure Asset Integrity with Computer Vision & Machine Learning
This case study demonstrates how computer vision and machine learning were applied to automate corrosion inspection across industrial assets. By analyzing panoramic and close-up images, the solution identifies corrosion, rust staining, paint defects, and severity levels, enabling proactive maintenance without additional inspection hardware. Custom datasets, deep learning models, and a browser-based interface allow real-time analysis and visualization of asset condition, helping organizations improve inspection planning, reduce maintenance costs, enhance asset integrity, and make faster, data-driven decisions while minimizing operational risk.
