Computer Vision Aided Defect Detection

The Problem

Organizations still rely on manual inspection for defect detection. Visual inspection performed by humans, however, have limitations as the results vary depending on several factors depending on attention spans, energy levels, human senses and more. Such inspections can therefore lead to costly errors. Can AI be used to improve the defect detection process?

Solution

AI models deployed on Kranium can be used to improve defect detection. The models can be trained to identify anomalies from images or real-time video feeds from cameras. For instance, the models can be used to detect inappropriate threading in pipelines or defects in fault-susceptible processes. Such solutions are extremely cost-effective and can save oil and gas companies millions of dollars in the long run.