Computer vision for increasing safety in container handling operations

نویسندگان

چکیده

Workers in ports work with and close proximity of heavy machinery. Quay cranes used for moving containers between ships the dockside yard are one most accident-prone equipment types. For picking up containers, these equipped spreaders, i.e. lifting devices which lowered down on top lock to them mechanically. We concerned here monitoring a quay crane spreader so as make sure that safe clearance distances maintained from locations dock workers port container cargo handling environment. The paper describes application computer vision techniques develop model-based, monocular tracker. By tracking three dimensions position orientation during loading unloading operations, threat volume enclosing it can be defined. Constantly distance this improve operator’s situational awareness increase safety Quantitative experimental evaluation is also reported.

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ژورنال

عنوان ژورنال: AHFE international

سال: 2022

ISSN: ['2771-0718']

DOI: https://doi.org/10.54941/ahfe1002146