Human-object interaction recognition for automatic construction site safety inspection

Tang, Shuai; Roberts, Dominic; Golparvar-Fard, Mani

doi:10.1016/j.autcon.2020.103356

Cited by 79 publications

(26 citation statements)

References 33 publications

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“…for the generation of available data [28]. In addition, selecting the appropriate content in many safety regulations with their inherent complexity and then accurately mapping it to the appropriate specific components of the construction scenario is quite time-consuming and difficult [29,30].…”

Section: Literature Review 21 the Development Of Computer Vision In Chr: Grounded In Human Cognitive Mechanismsmentioning

confidence: 99%

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Rui

Wang

2021

IJERPH

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Visual cognitive strategies in construction hazard recognition (CHR) signifies prominent value for the development of CHR computer vision techniques and safety training. Nonetheless, most studies are based on either sparse fixations or cross-sectional (accumulative) statistics, which lack consideration of temporality and yielding limited visual pattern information. This research aims to investigate the temporal visual search patterns for CHR and the cognitive strategies they imply. An experimental study was designed to simulate CHR and document participants’ visual behavior. Temporal qualitative comparative analysis (TQCA) was applied to analyze the CHR visual sequences. The results were triangulated based on post-event interviews and show that: (1) In the potential electrical contact hazards, the intersection of the energy-releasing source and wire that reflected their interaction is the cognitively driven visual area that participants tend to prioritize; (2) in the PPE-related hazards, two different visual strategies, i.e., “scene-related” and “norm-guided”, can usually be generalized according to the participants’ visual cognitive logic, corresponding to the bottom-up (experience oriented) and top-down (safety knowledge oriented) cognitive models. This paper extended recognition-by-components (RBC) model and gestalt model as well as providing feasible practical guide for safety trainings and theoretical foundations of computer vision techniques for CHR.

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Section: Literature Review 21 the Development Of Computer Vision In Chr: Grounded In Human Cognitive Mechanismsmentioning

confidence: 99%

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Rui

Wang

2021

IJERPH

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“…Furthermore, as the resolution of surveillance cameras deployed at the construction site gradually improves, multiple workers are recognized in one video [22], and the path tracking of each worker also possible [23][24][25]. A study on human-object interactions (HOIs) [26] and a skeleton-based study [27] have been able to provide a basis for judging the current worker's stability by recognizing the work situation and pose of workers. As the classification of objects became clear, researchers tried to analyze the movement and activity of objects from 2D images [28][29][30][31].…”

Section: Literature Review 21 Construction Safety Managementmentioning

confidence: 99%

Image Processing and QR Code Application Method for Construction Safety Management

Kim

Park

2021

Applied Sciences

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Construction safety accidents occur due to a combination of factors. Even a minor accident that could have been treated as a simple injury can lead to a serious accident or death, depending on when and where it occurred. Currently, methods for tracking worker behavior to manage such construction safety accidents are being studied. However, applying the methods to the construction site, various additional elements (e.g., sensors, transmitters, wearing equipment, and control systems) that must be additionally installed and managed are required. The cost of installation and management of these factors increases in proportion to the size of the site and the number of targets to be managed. In addition, the application of new equipment and new rules lowers the work efficiency of workers. In this paper, the following contents are described: 1) system overview, 2) image processing-QR code-based safety management target recognition methodology, and 3) object location discrimination technique applying the geometric transformation. Finally, the proposed methodology was tested to confirm the operation in the field, and the experimental results and conclusions were described in the paper.

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“…For example, staff from different disciplines and fields can simulate the entire project with the 3D model. In this way, they can discuss every detail of the project, while executing the project [50]. Then, it is possible to control the construction method, the mobilization of each job, and manpower scheduling.…”

Section: Integrating Safety Space In 3d Model Design Promotes Construction Planmentioning

confidence: 99%

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

Wen¹,

Liang²

2021

IJSSE

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In petrochemical industry, the execution of construction involves three main issues, namely, design planning, construction, and job safety. Three-dimensional (3D) models are increasingly applied to design and construction. However, the improper concept of 3D design has bred potential unsatisfactory behaviors and the lack of vigilance among workers. Besides, many employees are not fully aware of the safety in 3D design and construction planning. Therefore, our goal is to improve the safety and health of construction workers through design practices in the upstream of the construction phase, and verify the applicability of the combination of 3D models and safety knowledge. Specifically, a questionnaire survey was carried out among 124 employees in the construction-related fields of the petrochemical industry. The collected data were processed, and statically analyzed on SPSS. The results show that safety knowledge was acceptable in 3D model design from the perspective of project executors, and the integration of safety knowledge into the design helps to improve the safety environment of the construction site.

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Human-object interaction recognition for automatic construction site safety inspection

Cited by 79 publications

References 33 publications

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Temporal Visual Patterns of Construction Hazard Recognition Strategies

Image Processing and QR Code Application Method for Construction Safety Management

Integration of Safety Knowledge into Three-Dimensional Model Design and Construction Plan from the Perspective of Project Executors in Petrochemical Industry

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