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        <title type="main" level="a">Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site</title>
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          <persName n="1">
            <forename>Muhammad Sibtain</forename>
            <surname>Abbas</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0009-0006-5459-909X" type="ORCID">
            <forename>Aqsa</forename>
            <surname>Sabir</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="3">
            <forename>Nasrullah</forename>
            <surname>Khan</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="4" ref="https://orcid.org/0000-0003-2257-290X" type="ORCID">
            <forename>Syed Farhan Alam</forename>
            <surname>Zaidi</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="5" ref="https://orcid.org/0000-0002-6909-5189" type="ORCID">
            <forename>Rahat</forename>
            <surname>Hussain</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="6" ref="https://orcid.org/0000-0002-8192-340X" type="ORCID">
            <forename>Jaehun</forename>
            <surname>Yang</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
          <persName n="7" ref="https://orcid.org/0000-0003-2256-300X" type="ORCID">
            <forename>Chansik</forename>
            <surname>Park</surname>
            <placeName type="affiliation">Chung Ang University, Korea, Republic of</placeName>
          </persName>
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          <resp>This is a section of <title>CONVR 2023 - Proceedings of the 23rd International Conference on  Construction Applications of Virtual Reality </title>(DOI: <idno type="DOI">10.36253/979-12-215-0289-3</idno>) by </resp>
          <name>Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/10.36253/979-12-215-0289-3.67</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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      <abstract xml:lang="en">
        <p>Efficient forklift operation is critical for construction site safety and project progress; yet, the construction industry deals with recurrent issues, including unauthorized forklift operation, operator drowsiness, visibility challenges, blind spots, and load placement errors. This paper introduces the "iSafe ForkLift," a comprehensive safety framework powered by computer vision, specifically designed to tackle these multifaceted safety challenges associated with forklift operations. The framework provides an array of integrated solutions, encompassing facial recognition for authorization, anomaly detection for behavior monitoring, stereo cameras for improved visibility, blind spot solutions, and load placement monitoring. Aligned with OSHA safety standards, it offers opportunities for enhanced forklift safety by addressing a broad spectrum of potential risks within a single, efficient framework. Systematically addressing multiple safety risks within this unified framework significantly elevates overall safety. Future studies should prioritize enhancing technology by merging computer vision with IoT to boost precision and safety, especially on challenging terrains, thereby elevating construction industry standards' reliability</p>
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        <keywords>
          <list>
            <item>Forklift operations</item>
            <item>Computer vision</item>
            <item>Safety framework</item>
            <item>Operator drowsiness</item>
            <item>Visibility challenges</item>
            <item>OSHA standards</item>
            <item>Regulatory compliance</item>
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      <p>It is available online at https://doi.org/10.36253/10.36253/979-12-215-0289-3.67<ref target="https://doi.org/10.36253/10.36253/979-12-215-0289-3.67" /></p>
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