Crowdsourcing Construction Activity Analysis from Jobsite Video Streams


Researchers from the University of Illinois have developed a novel way of addressing the problem of manual workface assessment by developing an intuitive web-based platform for crowdsourcing the task through massive marketplaces such as Amazon Mechanical Turk. They found that non-expert annotators on Amazon Mechanical Turk were as reliable as construction experts for providing accurate and complete workface assessment results. This technology has the potential to minimize the time needed for workface assessment and allows onsite professionals to focus their time on more important task of root-cause analysis and performance improvements. 

More information about the Real-time and Automated Monitoring and Control group can be found here: