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http://dx.doi.org/10.21289/KSIC.2022.25.6.927

A Web-GIS Based Monitoring Module for Illegal Dumping in Smart Cities  

Han, Taek-Jin (Graduate School of Technology & Innovation Management, Hanyang University)
Publication Information
Journal of the Korean Society of Industry Convergence / v.25, no.6_1, 2022 , pp. 927-939 More about this Journal
Abstract
This study was conducted to develop a Web-GIS based monitoring module of smart city that can effectively respond, manage and improve situation in all stages of illegal dumping management on a city scale. First, five technologies were set for the core technical elements of the module configuration. Five core technical elements are as follows; video screening technology based on motion vector analysis, human behavior detection based on intelligent video analytics technology, mobile app for receiving civil complaints about illegal dumping, illegal dumping risk model and street cleanliness map, Web-GIS based situation monitoring technology. The development contents and results for each set of core technical elements were evaluated. Finally, a Web-GIS based 'illegal dumping monitoring module' was proposed. It is possible to collect and analyze city data at the local government level through operating the proposed module. Based on this, it is able to effectively detect illegal dumpers at relatively low cost and identify the tendency of illegal dumping by systematically managing habitual occurrence areas. In the future, it is expected to be developed in the form of an add-on module of the smart city integration platform operated by local governments to ensure interoperability and scalability.
Keywords
Illegal dumping; Smart city solution module; Intelligent video analytics (IVA); YOLO (You Only Look Once); Street cleanliness map (SCM); Web-GIS based monitoring solution; Quality of Life (QOL);
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