AI Use Case
Improving construction process quality by detecting error
Construction work is very reliant on the quality of both staff and site management, roles which may be harder to deliver in hard to access or inhospitable locations. Machine vision can be used to ensure that quality standards are being met and errors minimised and to ensure a rapid feedback loop to avoid potential cost (and engineering safety) issues.
Risk reduction - Reduced compliance risk,Cost - Reduce wastage,Operational - Lower error rates
Kaiser Parmanente~Kaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analytics
Construction And Engineering
ML Task - Grouping - Anomaly Detection,Product Type - Vision ,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,Machine Learning (ML)