IOT based worker safety and head accident reporting system at construction sites

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dc.contributor.author Lubulwa, Elias
dc.date.accessioned 2023-05-08T12:27:33Z
dc.date.available 2023-05-08T12:27:33Z
dc.date.issued 2023
dc.identifier.citation Lubulwa, E. (2023). IOT based worker safety and head accident reporting system at construction sites. Busitema University. Unpublished dissertation en_US
dc.identifier.uri http://hdl.handle.net/20.500.12283/3590
dc.description Dissertation en_US
dc.description.abstract Construction work in Uganda is a major contributor to workplace injuries and fatalities. Despite the increasing construction activity in the country, worker safety in the industry remains a concern due to a lack of information on the use of personal protective equipment (particularly hardhats) among construction workers. Injuries sustained by individuals not wearing PPE are often severe and traumatic, with head injuries caused by falls, slips, and falling objects or debris being the most common. Timely first aid and assistance are often hindered by delays in locating injured workers. To address these issues, this research aims to develop an IoT-based system to monitor hardhat use by construction workers and provide real-time reports of head injuries and the location of injured individuals. en_US
dc.description.sponsorship Mr. Lusiba Badru, Busitema University en_US
dc.language.iso en en_US
dc.publisher Busitema University en_US
dc.subject IOT en_US
dc.subject Worker safety en_US
dc.subject Head accident en_US
dc.subject Reporting system en_US
dc.subject Construction sites en_US
dc.subject Construction work en_US
dc.title IOT based worker safety and head accident reporting system at construction sites en_US
dc.type Other en_US


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