L2M-L6-AI-Powered Visual Monitoring for Real-Time Lean Construction Performance Measurement on Active Job Sites

VisioConTech is developing an AI-powered visual monitoring platform for construction sites that uses camera feeds and computer vision to automatically detect safety hazards, track work progress, and identify potential problems in real time. The system analyzes images from job site cameras using advanced object detection and intelligent reasoning to provide actionable alerts and reports to project managers and safety officers. For expected industry partners such as general contractors, construction managers, and infrastructure firms, this technology offers a practical way to improve on-site safety, reduce costly rework, and support better-informed decision-making without adding extra manual effort from field staff. Because the system is designed to run on-premise, sensitive project data stays on-site, addressing a key concern for construction firms handling proprietary designs and client information. The expected benefit to future partner organizations is a measurable reduction in safety incidents and project delays through early, automated detection of issues that currently rely on manual inspections, ultimately saving time and money while keeping workers safer.

Faculty Supervisor:

Vicente Gonzalez-Moret

Student:

Partner:

Innovate Calgary

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Business Strategy Internship

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