Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site
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...
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| Príomhchruthaitheoirí: | , , , , , , |
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| Formáid: | Online |
| Teanga: | Béarla |
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Firenze University Press
2024
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20240402_9791221502893_34 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869514840289050624 |
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| author | Abbas, Muhammad Sibtain Khan, Nasrullah Sabir, Aqsa Zaidi, Syed Farhan Alam Hussain, Rahat Yang, Jaehun Park, Chansik |
| author_browse | Abbas, Muhammad Sibtain Hussain, Rahat Khan, Nasrullah Park, Chansik Sabir, Aqsa Yang, Jaehun Zaidi, Syed Farhan Alam |
| author_facet | Abbas, Muhammad Sibtain Khan, Nasrullah Sabir, Aqsa Zaidi, Syed Farhan Alam Hussain, Rahat Yang, Jaehun Park, Chansik |
| author_sort | Abbas, Muhammad Sibtain |
| collection | Directory of Open Access Books |
| description | 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 |
| format | Online |
| id | doab-20.500.12854ir-136900 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1369002024-05-10T10:02:25Z Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site Abbas, Muhammad Sibtain Khan, Nasrullah Sabir, Aqsa Zaidi, Syed Farhan Alam Hussain, Rahat Yang, Jaehun Park, Chansik Forklift operations Computer vision Safety framework Operator drowsiness Visibility challenges OSHA standards Regulatory compliance thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-05-10T10:02:13Z 2024-05-10T10:02:13Z 2024-04-02T15:45:25Z 2023 chapter ONIX_20240402_9791221502893_34 2704-5846 https://library.oapen.org/handle/20.500.12657/89065 9791221502893 https://directory.doabooks.org/handle/20.500.12854/136900 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89065/1/9791221502893_67.pdf Firenze University Press 10.36253/979-12-215-0289-3.67 10.36253/979-12-215-0289-3.67 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 7 Florence open access |
| spellingShingle | Forklift operations Computer vision Safety framework Operator drowsiness Visibility challenges OSHA standards Regulatory compliance thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Abbas, Muhammad Sibtain Khan, Nasrullah Sabir, Aqsa Zaidi, Syed Farhan Alam Hussain, Rahat Yang, Jaehun Park, Chansik Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title | Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title_full | Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title_fullStr | Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title_full_unstemmed | Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title_short | Chapter Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site |
| title_sort | chapter computer vision based monitoring framework for forklift safety at construction site |
| topic | Forklift operations Computer vision Safety framework Operator drowsiness Visibility challenges OSHA standards Regulatory compliance thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| topic_facet | Forklift operations Computer vision Safety framework Operator drowsiness Visibility challenges OSHA standards Regulatory compliance thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization |
| url | ONIX_20240402_9791221502893_34 |
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