Publications / 2024 Proceedings of the 41st ISARC, Lille, France

Identification of Factors and Metrics to Compare Vision Based Data Acquisition Devices

Aakar Garg, Megha S Pradeep, Koshy Varghese
Pages 1160-1167 (2024 Proceedings of the 41st ISARC, Lille, France, ISBN 978-0-6458322-1-1, ISSN 2413-5844)
Abstract:

Construction projects rely on several technologies for progress monitoring of projects. Among these technologies, Computer Vision (CV) based technologies are gaining popularity as they enable direct acquisition of physical site data. There are numerous devices available using vision-based technologies. Several studies have attempted to compare these technologies to identify appropriateness to meet project requirements. However, there is no structured framework to compare and select a CV-based data acquisition device based on the requirements of a project. To develop a framework, it is critical to identify the factors and associated metrics that enable a systematic device comparison. Through a systematic review of literature of comparative studies on CV-CPM technologies this work identifies several factors and defines the metrics that form the basis for a structured framework. An approach to forming the framework based on these factors is also proposed.

Keywords: Progress monitoring technologies, Computer Vision, Data acquisition, Comparative Framework, Literature review