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Ahmed, H I (2023) Mechanical Behavior, Microstructure, and Chloride-Penetration Resistance of Glass Waste Nanopowder Magnetic Concrete. Journal of Construction Engineering and Management, 149(01).
Amies, P, Jin, X and Senaratne, S (2023) Systematic Literature Review on Success Criteria for Dam Engineering Projects. Journal of Construction Engineering and Management, 149(01).
Barkokebas, B, Al-Hussein, M and Hamzeh, F (2023) Assessment of Digital Twins to Reassign Multiskilled Workers in Offsite Construction Based on Lean Thinking. Journal of Construction Engineering and Management, 149(01).
Hosseinian, S M and Tavakoli, M (2023) Markets, Hierarchies, or Hybrids as Alternative Governance Structures in Construction Contracts: Transaction Cost Economics Analysis. Journal of Construction Engineering and Management, 149(01).
Hu, F, Liao, R and Chen, J (2023) Calculation Methods to Optimize the Number of Pedestals and Evaluate Production Plans for Precast Yards Fabricating Prestressed Bridge Beams and Precast Segments for Poststressed Segmental Erection. Journal of Construction Engineering and Management, 149(01).
John, S T, Sarkar, P and Davis, R (2023) A Long-Range Wide-Area Network System for Monitoring Early-Age Concrete Compressive Strength. Journal of Construction Engineering and Management, 149(01).
Khalef, R and El-adaway, I H (2023) Identifying Design-Build Decision-Making Factors and Providing Future Research Guidelines: Social Network and Association Rule Analysis. Journal of Construction Engineering and Management, 149(01).
Lee, D, Wen, L, Choi, J O and Lee, S (2023) Sensor-Integrated Hybrid Blockchain System for Supply Chain Coordination in Volumetric Modular Construction. Journal of Construction Engineering and Management, 149(01).
Liang, R, Xue, Z and Chong, H (2023) Risk Evaluation of Logistics Park Projects’ Lifecycle during the COVID-19 Pandemic: Failure Mode and Effects Analysis. Journal of Construction Engineering and Management, 149(01).
Liu, T, Mao, Y and Lu, S (2023) Fostering Participants’ Collaborative Innovation Performance in Megaprojects: The Effects of Perceived Partners’ Non-Mediated Power. Journal of Construction Engineering and Management, 149(01).
Lohne, J, Klakegg, O J and Lædre, O (2023) Understanding the Potential for Criminal Activity in the Norwegian AEC Industry: A Building Process Perspective. Journal of Construction Engineering and Management, 149(01).
Mei, X, Zhou, X, Xu, F and Zhang, Z (2023) Human Intrusion Detection in Static Hazardous Areas at Construction Sites: Deep Learning–Based Method. Journal of Construction Engineering and Management, 149(01).
- Type: Journal Article
- Keywords: Hazardous areas; Intrusion detection; Intrusion posture; Machine vision; You Only Look Once (YOLO) V5; Deep learning;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002409
- Abstract:
Construction sites have complex environments and high accident rates. Human intrusion into static hazardous areas is a significant cause of accidents. Traditional engineering safety management mainly relies on manual methods, such as patrol inspection by safety supervisors, which is time-consuming and labor-intensive, and it is difficult to achieve a complete safety supervision. In recent years, the emergence of artificial intelligence technology and computer vision has provided a new scheme for intrusion detection. However, existing studies have used a single method for human intrusion judgment in static dangerous areas, without in-depth consideration of the influence of human posture, intrusion direction, and other factors. In this study, a computer vision–based intrusion detection method was developed, mainly aimed at static hazardous areas. The object detection was based on the You Only Look Once (YOLO) V5 module to extract the image feature information. Subsequently, the basic rule of intrusion judgment based on the key points of bounding boxes was formulated, in which the workers’ intrusion direction was recognized and postured using two auxiliary detection modules. Finally, the intrusion rule base was constructed as the basis for human intrusion detection, containing rules with different sensitivities for different intrusion states. The case study indicated that the precision and recall rate of the algorithm were 96.05% and 90.05%, respectively. Overall, this method can effectively address the defects of manual supervision in engineering safety management, reducing the probability of accident occurrence and enhancing safety at construction sites.
Murguia, D, Vasquez, C, Demian, P and Soetanto, R (2023) BIM Adoption among Contractors: A Longitudinal Study in Peru. Journal of Construction Engineering and Management, 149(01).
Okpala, I, Nnaji, C and Gambatese, J (2023) Assessment Tool for Human–Robot Interaction Safety Risks during Construction Operations. Journal of Construction Engineering and Management, 149(01).
Ryu, J, Banting, B, Abdel-Rahman, E and Haas, C T (2023) Ergonomic Characteristics of Expert Masons. Journal of Construction Engineering and Management, 149(01).
Suárez, J L, Gosselin, L and Lehoux, N (2023) Optimizing Modularity of Prefabricated Residential Plumbing Systems for Construction in Remote Communities. Journal of Construction Engineering and Management, 149(01).
Wang, J, Zhang, S, Fenn, P, Luo, X, Liu, Y and Zhao, L (2023) Adopting BIM to Facilitate Dispute Management in the Construction Industry: A Conceptual Framework Development. Journal of Construction Engineering and Management, 149(01).
Wang, P, Wang, K, Huang, Y, Zhu, J, Fenn, P and Zhang, Y (2023) Payment Issues in China’s Construction Industry: Nature, Causes, and a Predictive Model. Journal of Construction Engineering and Management, 149(01).
Wang, T and Feng, J (2023) Optimal Review Strategy for Concurrent Execution of Design–Construction Tasks in DB Mode. Journal of Construction Engineering and Management, 149(01).
Yang, W, Zhang, F, Wang, H, Wu, J, Nie, Z and Li, L (2023) Synchronous Control Theory and First Test of Time-Varying Upper Operation and Chassis Attitude Maintenance for Truck Cranes. Journal of Construction Engineering and Management, 149(01).
Zeng, N, Liu, Y and König, M (2023) 4D BIM-Enabled Look-Ahead Scheduling for Early Warning of Off-Site Supply Chain Disruptions. Journal of Construction Engineering and Management, 149(01).
Zhang, X, Liu, T, Rahman, A and Zhou, L (2023) Blockchain Applications for Construction Contract Management: A Systematic Literature Review. Journal of Construction Engineering and Management, 149(01).