Using RTLS and Computer Vision to Extend Worksite Safety

The project aims to extend worksite safety of construction projects at Hydro-Quebec (HQ) using computer vision and a Real-Time Location System (RTLS). The case study is a substation construction project near Montreal. The main safety risks that will be targeted in the case study are related to equipment mobility (struck-by accidents) and not wearing Personal Protection Equipment. The concept of the method is to have a priori information about the types of expected risks in the planning phase, and then to monitor the site using video cameras and the RTLS. Artificial Intelligence (AI) and computer vision techniques are used to detect the location and other attributes of the workers and equipment with respect to the identified risks. The workers will be equipped with a wristband that can generate vibration safety alerts in case of proximity to equipment. In addition to safety support, the system can provide the following side benefits: (1) improved security by detecting potential intruders to the construction site by using infrared cameras and night vision; and (2) generating time-lapse video of the project.

Faculty Supervisor:

Amin Hammad;Zhenhua Zhu

Student:

Chen Chen;Mohammad Akbarzadeh;Yusheng Huang

Partner:

Hydro-Québec

Discipline:

Engineering - civil

Sector:

University:

Concordia University

Program: