Computer-Aided Optimization of Surveillance Cameras Placement on Construction Sites

Xincong Yang, Heng Li, Ting Huang, Ximei Zhai, Fenglai Wang, Chen Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

Surveillance system is becoming an indispensable system on construction sites with the fast development of computer vision techniques, thus an optimal placement of surveillance cameras is essential for the successful performance of this system. However, to develop effective models and solutions for large-scale camera placement still remain as opening challenges. Therefore, this study investigated two fundamental placement problems and proposed a multiobjective placement problem, where the maximum-coverage problem is to monitor the construction layout as much as possible with a limited budget; the minimum-cost problem is to minimize the cost given a layout required to be fully covered; and the multiobjective problem is to identify the Pareto fronts of cost and coverage ratio of the system. To solve these problems, the objective space and search space were discretized, and the deterministic and heuristic approaches were revised and developed to provide effective solutions. Finally, experiments in a practical project in Hong Kong were conducted to verify the sufficiency of the developed algorithms and findings revealed potential implementations in many scenarios.

Original languageEnglish
Pages (from-to)1110-1126
Number of pages17
JournalComputer-Aided Civil and Infrastructure Engineering
Volume33
Issue number12
DOIs
Publication statusPublished - Dec 2018

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

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