Metadata
Title
Smart Vision-based Approach to Quantifying Waste in Construction Projects
Category
general
UUID
b67f3a5086464d40a20a73115e75ab5d
Source URL
https://ri.kfupm.edu.sa/irc-cbm/events-and-seminars/smart-vision-based-approach-...
Parent URL
https://ri.kfupm.edu.sa/irc-cbm/events-and-seminars
Crawl Time
2026-03-16T05:23:36+00:00
Rendered Raw Markdown

Smart Vision-based Approach to Quantifying Waste in Construction Projects

Source: https://ri.kfupm.edu.sa/irc-cbm/events-and-seminars/smart-vision-based-approach-to-quantifying-waste-in-construction-projects Parent: https://ri.kfupm.edu.sa/irc-cbm/events-and-seminars

Smart Vision-based Approach to Quantifying Waste in Construction Projects

Presenter: Dr. Pablo Martinez Rodriguez [Assistant Professor, Northumbria University]

\ Organized by: IRC for Construction and Building Materials & Architectural Engineering and Construction Management Department

20 Jan 2025 @ 02:00 PM

Research Institute 15-4001

The construction industry generates significant waste, contributing to environmental and economic challenges. This research presents a smart vision-based approach to quantifying waste in construction projects, leveraging computer vision, machine learning, and IoT-enabled cameras. The system identifies, categorizes, and measures waste materials in real-time, providing actionable insights to project managers and construction stakeholders. The proposed method demonstrates potential for improving waste management practices and achieving greener construction processes, enabling circular economy processes from accurate and real-time waste generation data.