VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES

Osama Mohsen; Pablo Martinez

doi:10.35490/EC3.2025.300

VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES

Osama Mohsen
, Pablo Martinez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Solid waste generated from construction activities poses serious environmental challenges and adversely affects the sustainability of the construction industry. Advancements in data-driven approaches, including computer vision (CV), offer a potential approach to automating the process of waste quantification on construction sites. This study proposes a system that utilises CV to quantify waste generated onsite. The proposed framework consists of the analysis of video streams of a waste container and estimating the waste material based on predefined waste categories. This study advances automated construction waste detection and identification and ultimately promotes efficient construction waste management, circular economy, and sustainable development.

Original language	English
Title of host publication	Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025
Editors	Ekaterina Petrova, Marijana Srećković, Pedro Meda, Ranjith K. Soman, Daniel Hall, Jakob Beetz, Jenn McArthur
Publisher	European Council on Computing in Construction (EC3)
ISBN (Print)	9789083451312
DOIs	https://doi.org/10.35490/EC3.2025.300
State	Published - 2025
Event	European Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025 - Porto, Portugal Duration: 14 Jul 2025 → 17 Jul 2025

Publication series

Name	Proceedings of the European Conference on Computing in Construction
ISSN (Electronic)	2684-1150

Conference

Conference	European Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025
Country/Territory	Portugal
City	Porto
Period	14/07/25 → 17/07/25

Bibliographical note

Publisher Copyright:
© 2025, European Council on Computing in Construction (EC3). All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

ASJC Scopus subject areas

Information Systems
Building and Construction

Access to Document

10.35490/EC3.2025.300

Cite this

Mohsen, O., & Martinez, P. (2025). VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES. In E. Petrova, M. Srećković, P. Meda, R. K. Soman, D. Hall, J. Beetz, & J. McArthur (Eds.), Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025 (Proceedings of the European Conference on Computing in Construction). European Council on Computing in Construction (EC3). https://doi.org/10.35490/EC3.2025.300

Mohsen, Osama ; Martinez, Pablo. / VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES. Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025. editor / Ekaterina Petrova ; Marijana Srećković ; Pedro Meda ; Ranjith K. Soman ; Daniel Hall ; Jakob Beetz ; Jenn McArthur. European Council on Computing in Construction (EC3), 2025. (Proceedings of the European Conference on Computing in Construction).

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title = "VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES",

abstract = "Solid waste generated from construction activities poses serious environmental challenges and adversely affects the sustainability of the construction industry. Advancements in data-driven approaches, including computer vision (CV), offer a potential approach to automating the process of waste quantification on construction sites. This study proposes a system that utilises CV to quantify waste generated onsite. The proposed framework consists of the analysis of video streams of a waste container and estimating the waste material based on predefined waste categories. This study advances automated construction waste detection and identification and ultimately promotes efficient construction waste management, circular economy, and sustainable development.",

author = "Osama Mohsen and Pablo Martinez",

note = "Publisher Copyright: {\textcopyright} 2025, European Council on Computing in Construction (EC3). All rights reserved.; European Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025 ; Conference date: 14-07-2025 Through 17-07-2025",

year = "2025",

doi = "10.35490/EC3.2025.300",

language = "English",

isbn = "9789083451312",

series = "Proceedings of the European Conference on Computing in Construction",

publisher = "European Council on Computing in Construction (EC3)",

editor = "Ekaterina Petrova and Marijana Sre{\'c}kovi{\'c} and Pedro Meda and Soman, \{Ranjith K.\} and Daniel Hall and Jakob Beetz and Jenn McArthur",

booktitle = "Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025",

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Mohsen, O & Martinez, P 2025, VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES. in E Petrova, M Srećković, P Meda, RK Soman, D Hall, J Beetz & J McArthur (eds), Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025. Proceedings of the European Conference on Computing in Construction, European Council on Computing in Construction (EC3), European Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025, Porto, Portugal, 14/07/25. https://doi.org/10.35490/EC3.2025.300

VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES. / Mohsen, Osama; Martinez, Pablo.
Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025. ed. / Ekaterina Petrova; Marijana Srećković; Pedro Meda; Ranjith K. Soman; Daniel Hall; Jakob Beetz; Jenn McArthur. European Council on Computing in Construction (EC3), 2025. (Proceedings of the European Conference on Computing in Construction).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES

AU - Mohsen, Osama

AU - Martinez, Pablo

PY - 2025

Y1 - 2025

N2 - Solid waste generated from construction activities poses serious environmental challenges and adversely affects the sustainability of the construction industry. Advancements in data-driven approaches, including computer vision (CV), offer a potential approach to automating the process of waste quantification on construction sites. This study proposes a system that utilises CV to quantify waste generated onsite. The proposed framework consists of the analysis of video streams of a waste container and estimating the waste material based on predefined waste categories. This study advances automated construction waste detection and identification and ultimately promotes efficient construction waste management, circular economy, and sustainable development.

AB - Solid waste generated from construction activities poses serious environmental challenges and adversely affects the sustainability of the construction industry. Advancements in data-driven approaches, including computer vision (CV), offer a potential approach to automating the process of waste quantification on construction sites. This study proposes a system that utilises CV to quantify waste generated onsite. The proposed framework consists of the analysis of video streams of a waste container and estimating the waste material based on predefined waste categories. This study advances automated construction waste detection and identification and ultimately promotes efficient construction waste management, circular economy, and sustainable development.

UR - https://www.scopus.com/pages/publications/105029449898

U2 - 10.35490/EC3.2025.300

DO - 10.35490/EC3.2025.300

M3 - Conference contribution

AN - SCOPUS:105029449898

SN - 9789083451312

T3 - Proceedings of the European Conference on Computing in Construction

BT - Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025

A2 - Petrova, Ekaterina

A2 - Srećković, Marijana

A2 - Meda, Pedro

A2 - Soman, Ranjith K.

A2 - Hall, Daniel

A2 - Beetz, Jakob

A2 - McArthur, Jenn

PB - European Council on Computing in Construction (EC3)

T2 - European Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025

Y2 - 14 July 2025 through 17 July 2025

ER -

Mohsen O, Martinez P. VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES. In Petrova E, Srećković M, Meda P, Soman RK, Hall D, Beetz J, McArthur J, editors, Proceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025. European Council on Computing in Construction (EC3). 2025. (Proceedings of the European Conference on Computing in Construction). doi: 10.35490/EC3.2025.300

VISION-BASED AUTOMATED WASTE QUANTIFICATION IN CONSTRUCTION SITES

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

ASJC Scopus subject areas

Access to Document

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Cite this