Building crack positioning and measuring method based on mobile phone image analysis under crowd sourcing mode

Through a mobile phone image analysis method based on a crowdsourcing model, combined with QR code calibration objects and semantic segmentation networks, efficient and low-cost positioning and measurement of building cracks are achieved, solving the problems of high labor intensity and low efficiency in traditional methods. It is particularly suitable for old houses with dispersed locations.

CN119477821BActive Publication Date: 2025-10-14SOUTHEAST UNIV +1
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Patent Information

Application Number
CN202411483829.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2025-10-14
Estimated Expiration
2044-10-23

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Abstract

The application discloses a building crack positioning and measuring method based on a crowdsourcing mode and mobile phone image analysis, which comprises the following steps: residents or regional managers submit information through a mobile phone APP, obtain a crack monitoring two-dimensional code, print the exclusive crack monitoring two-dimensional code and paste the code near the target crack according to requirements, use a mobile phone to obtain a multi-scale crack image, upload the image to a structure health monitoring platform, and the structure health monitoring platform processes the multi-scale image by using an image analysis method to provide the user with crack positioning and measuring results.
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Citation Information

Patent Citations

  • Method for identifying crack width based on machine vision calibration two-dimensional code

    CN110675367A

  • Method for rapidly obtaining building crack opening degree at low cost

    CN110765289A