On-Site Construction Worker Activity Monitoring Using Deep Learning

Abstract

AbstractLow productivity in the construction industry compared with other sectors is a longstanding concern. Traditionally, managers have relied on manual sampling of worker activities by monitoring task types and durations to identify and address ...Practical ApplicationsEnhancing labor productivity is a significant challenge in the construction industry, with direct implications for project costs and schedules. Traditional monitoring methods, such as manual observation, are often impractical due to ...