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Related Experiment Video

Updated: Jun 13, 2026

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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Published on: July 5, 2016

Fusion of Embedded Vision and Intelligent Algorithms for Non-Contact Deformation Monitoring.

Mei Dong1,2, Xinyu Liu1, Hui Hu3

  • 1Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou 310058, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

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This study introduces an intelligent vision-based system for non-contact structural monitoring. The framework achieves sub-millimeter accuracy in measuring deformations, enhancing the safety assessment of large civil engineering structures.

Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Computer Vision

Background:

  • Increasing demand for reliable structural safety assessment in service.
  • Urgency for high-precision, non-contact, and long-term deformation monitoring of large civil engineering structures.

Purpose of the Study:

  • Propose and validate a system-level non-contact monitoring framework.
  • Integrate embedded vision-based deformation sensing with intelligent algorithms for unified monitoring.
  • Enhance the stability and accuracy of deflection measurements in complex environments.

Main Methods:

  • Integrated framework combining high-precision optical imaging, subpixel localization, and intelligent image processing.
  • Continuous imaging and tracking of targets on structural surfaces for 2D dynamic displacement acquisition.
Keywords:
bridge deflectiondeformation monitoringintelligent visionsluice structuresubpixel localization

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Last Updated: Jun 13, 2026

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  • Hybrid algorithm using signal processing and image correction to compensate for image jitter, environmental disturbances, and camera vibrations.
  • Main Results:

    • Stable capture of small structural displacements with sub-millimeter measurement accuracy.
    • Successful field experiments on a girder bridge and an integral open-box sluice structure under various conditions.
    • Demonstrated feasibility and reliability of the vision-based system in complex engineering environments.

    Conclusions:

    • The proposed intelligent vision-based deformation monitoring technology offers a new technical approach for structural safety assessment.
    • The system provides reliable operational monitoring for infrastructure like bridges and hydraulic structures.
    • Validated the effectiveness of the integrated framework for precise deformation measurement.