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AI-driven safety checks for ladders used on construction sites

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conference contribution
posted on 2023-01-06, 12:18 authored by Shalaka Hire, A Ranjan, Kirti RuikarKirti Ruikar, S Sandbhor
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.

History

School

  • Architecture, Building and Civil Engineering

Published in

IOP Conference Series: Earth and Environmental Science

Volume

1101

Issue

9

Source

World Building Congress 2022

Publisher

IOP Publishing Ltd

Version

  • VoR (Version of Record)

Rights holder

© IOP Publishing Ltd

Publisher statement

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distributionof this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acceptance date

2022-10-10

Publication date

2022-12-07

Copyright date

2022

ISSN

1755-1307

eISSN

1755-1315

Book series

IOP Conference Series

Language

  • en

Depositor

Dr Kirti Ruikar. Deposit date: 5 January 2023

Article number

092040

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