In the first half of 2023, the number of occupational injury cases in our region reached a staggering 14,197, with a fatality rate of 9.7 per thousand employees. Industrial accidents, particularly within the construction sector, accounted for a significant portion of these incidents. In response to this alarming trend, our project aims to develop a Smart Site Safety System that aligns with the government’s initiative for enhanced safety measures in construction sites.. Our project focuses on developing a model to assess the safety of three main industrial tools: ladder platforms, hop-up platforms, and mobile lift tables. By leveraging machine learning or deep learning techniques, we aim to develop a monitoring intelligence that can accurately detect and evaluate the safety aspects of these tools. The detection results will be showcased on a streaming platform, providing users with immediate feedback, and promoting the correct usage of industrial equipment. Therefore, It can enhance workplace safety and foster a culture of responsible tool usage in industrial settings.
