AI-driven safety checks for ladders used on construction sites

Abstract

Construction plays an integral part in the social and economic development of countries worldwide. Construction site safety is a crucial concern in both developed and developing countries. Because the preponderance of safety practices is mitigation-oriented rather than prevention-oriented, the construction industry has poor safety and health conditions. Falls are the primary cause of accidents involving roof and ladder falls on site. With the ability of Artificial Intelligence (AI) based techniques, the safety of ladders can be effectively managed, and the rate of accidents can be reduced. This study presents the AI-driven safety checking for a ladder in the pre-use stage. The checks are performed in Python programming language and various libraries such as math, Numpy, and Opencv. The AI-driven safety checking can decide for 'fitness for the use of the ladder in terms of its structural rigidity before use. Compared to conventional safety practice, this process is less time-consuming, an inspection can be done throughout the project lifecycle, data can be stored and shared virtually, and needless to say, the ladder-related hazards can be reduced.