Implementing Computer Vision Based safety protocols in Suspension Scaffolds through Drones

DOI

10.2991/978-94-6463-591-1_14How to use a DOI?

Keywords

safety inspections; drone; computer vision; construction safety; automated inspections

Abstract

Suspended scaffolds are one of the main causes of fall related fatalities in the construction sector. Despite the presence of suspension scaffold inspectors and OSHA guidelines, fatalities resulting from OSHA violations are prevalent. This paper proposes a semi-autonomous drone system to detect guardrails and workers wearing safety harness on construction sites using YOLO algorithms. For onboard computations, this system utilizes the Nvidia Jetson nano development kit, supplemented by the Intel RealSense camera for detections and depth sensing. Algorithms were developed to adjust the camera view based on bounding box positions, improving real time detections, and to modify the drone’s flight path for inspections.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Muhammad Ahmad
AU  - Khalid Saifullah
AU  - Muhammad Saifullah
AU  - Numan Khan
PY  - 2024
DA  - 2024/12/01
TI  - Implementing Computer Vision Based safety protocols in Suspension Scaffolds through Drones
BT  - Proceedings of the 1st International Conference on Climate Change and Emerging Trends in Civil Engineering (CCETC 2024)
PB  - Atlantis Press
SP  - 162
EP  - 172
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-591-1_14
DO  - 10.2991/978-94-6463-591-1_14
ID  - Ahmad2024
ER  -