top of page

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.



General Operations


Risk reduction - Reduced compliance risk,Cost - Reduce wastage,Operational - Lower error rates

Case Studies

Kaiser Parmanente~Kaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analytics

Potential Vendors




Construction And Engineering

Data Sets


AI Technologies

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)

bottom of page