Review - Construction Safety Management using Deep Learning and Computer Vision

Abstract

Abstract: SafeZone is a deep learning and computer vision model that is aimed at improving the safety of construction workers and reducing potential hazards at construction sites. Three aspects are taken into consideration while designing the model – whether workers are wearing safety gear, potential accident zones at the site, and check for the quality of materials given to the workers. This project is intended to automate the task of identifying lack of safety and potential hazards at construction sites and subsequent implementation of safety measures to eliminate the chance of accidents. A vast majority of industrial work-sites are often never automated - and instead, manually supervised with minor application of object-based sensor technology. The project will attempt to bridge this gap with the help of Convolutional Neural Networks - which allows for a streamlined, utilitarian and flexible suite of tools that help supervisors and on-site working personnel in keeping their heads on a swivel.