Construction Jobsite Image Classification Using an Edge Computing Framework
Gongfan Chen,
Abdullah Alsharef,
Edward Jaselskis
Abstract:Image classification is increasingly being utilized on construction sites to automate project monitoring, driven by advancements in reality-capture technologies and artificial intelligence (AI). Deploying real-time applications remains a challenge due to the limited computing resources available on-site, particularly on remote construction sites that have limited telecommunication support or access due to high signal attenuation within a structure. To address this issue, this research proposes an efficient edg… Show more
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