A computer-vision assisted system for on-site construction to monitor safety and track productivity

Construction sites are accident-prone sites and despite numerous efforts to reduce incidents, they continue to occur. Among others, fall accidents, in particular, account for the majority of these incidents, necessitating the implementation of proper management strategies. Traditional techniques for providing safety and preventing accidents are adequate and appropriate for improving safety, however, they are not able to adapt to the changing environment. In this proposal, a computer vision based system is proposed that is able to detect workers and take appropriate actions depending on the situation. The system will be able to prevent accidents by alarming the workers about the hazardous situation.

Faculty Supervisor:

Rafiq Ahmad

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Alberta

Program: