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Artificial Intelligence as Virtual Inspector for Construction Waste Dumping: Case Study of ViAct
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Author(s): Gary Ng (viAct, Hong Kong), Hugo Cheuk (viAct, Hong Kong), Surendra Singh (viAct, Hong Kong)and Baby Sharma (viAct, Hong Kong)
Copyright: 2022
Pages: 14
Source title:
Handbook of Research on Water Sciences and Society
Source Author(s)/Editor(s): Ashok Vaseashta (International Clean Water Institute, USA & Transylvania University of Brasov, Romania & Academy of Sciences of Moldova, Moldova), Gheorghe Duca (Institute of Chemistry, Moldova State University, Moldova & Academy of Science of Moldova and Romanian Academy, Romania.)and Sergey Travin (Federal Research Center for Chemical Physics and N. N. Semenov of the Russian Academy of Sciences, Russia)
DOI: 10.4018/978-1-7998-7356-3.ch031
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Abstract
Construction is an activity that fulfills one of the basic needs of humans (i.e., shelter). However, this industry is also known for its excessive waste generation, which impacts the environment if not disposed of appropriately. Much of the waste consists of harmful material; when dumped in the landfills, this leads to gradual leaching of various undesirable ions into the groundwater, causing water quality deterioration. Such leachate-rich water when used by humans for various purposes causes diseases and deformities. Thus, to improve the ecological civilization and to promote the overall ESG proposition in the construction industry, artificial intelligence (AI) is a suitable solution. This chapter puts forward a case study of an AI-based ConTech startup, called viAct that developed and tested AI modules for monitoring waste generation and disposal at construction sites. The AI modules are trained and tested for their efficacy in various construction sites for illegal dumping detection and classification of different types of waste material before they are discharged in landfill areas.
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