Design of a Real-Time Monitoring and Early Warning System for Engineering Safety Hazards Using Image Analysis Technology
As the scale of engineering projects continues to grow, safety management on construction sites faces significant challenges. Traditional methods such as manual inspections and periodic checks struggle to achieve real-time and effective monitoring of potential hazards, which can lead to accidents. I...
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Veröffentlicht in: | Traitement du signal 2024-10, Vol.41 (5), p.2381-2390 |
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description | As the scale of engineering projects continues to grow, safety management on construction sites faces significant challenges. Traditional methods such as manual inspections and periodic checks struggle to achieve real-time and effective monitoring of potential hazards, which can lead to accidents. In recent years, image analysis technology has increasingly been applied to the monitoring of engineering safety hazards due to its automation, real-time capabilities, and high efficiency. However, existing image analysis algorithms still encounter issues such as insufficient tracking accuracy and delayed warning responses in complex engineering environments. To address these problems, this study proposes a real-time hazard tracking and identification method based on an improved Mean Shift algorithm, combined with a support vector machine (SVM) for critical state early warning of engineering safety hazards. The system improves recognition accuracy and early warning response speed in complex environments through algorithm optimization, offering higher practicality and reliability. This provides a technical safeguard for safety management at construction sites. |
doi_str_mv | 10.18280/ts.410513 |
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subjects | Accuracy Algorithms Construction engineering Construction site accidents Deformation Early warning systems Engineering Hazard identification Identification methods Image analysis Lighting Localization Monitoring Project management Real time Safety management Support vector machines Technology assessment Tracking |
title | Design of a Real-Time Monitoring and Early Warning System for Engineering Safety Hazards Using Image Analysis Technology |
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