Computer Vision for Safety Management A Case Study in the Construction Industry

The growing deployment of computer vision in industrial processes significantly contributes to strengthening the manufacturing sector in terms of productivity and safety of the workers. Manufacturing workers are often working in hazardous environments handling different dangerous equipment putting their life on the line every day. Work accidents are reminders for which companies must make efforts to reduce its occurrence and their adverse impact on the lives of workers. The growing deployment of computer vision in industrial processes signifi- cantly contributes to strengthening the manufacturing sector in terms of productivity and safety of the workers. Manufacturing workers are often working in hazardous environments handling different dangerous equipment putting their life on the line every day. Work accidents are reminders for which companies must make efforts to reduce its occurrence and their adverse impact on the lives of workers. Due to the inherent complexities of construction sites, safety management remains a persistent challenge and a critical responsibility. The primary objective of construction safety management is to guarantee the project’s successful and secure completion, prioritize the well-being of workers, and mitigate construction-related accidents and their associated costs. The advent of computer vision (CV) technology has revolutionized traditional approaches to construction safety management. This paper examines the transformative impact of CV technology on construction site safety and management efficiency from an application-oriented perspective. Initially, the paper provides an overview of the fundamental principles and methodologies underpinning CV technology, accompanied by a detailed description of the literature analysis methodology employed. Subsequently, the paper delves into the diverse appli- cations of CV technology, encompassing real-time construction site monitoring, worker safety management, equipment behavior tracking, and material quality control. Furthermore, the paper highlights the substantial potential of CV technology in mitigating accidents, enhancing safety performance, and offers valuable insights into future research directions. In conclusion, this paper presents a comprehensive overview of the construction industry’s pursuit of leveraging CV technology to elevate safety management practices, serving as both an informative and instructive resource.

For Vietnamese readers, a Vietnamese version is available at this link.

Recommended citation: Nguyen Quoc Khanh (2024), Computer Vision for Safety Management A Case Study in the Construction Industry
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