Intelligent detection method and system for ceramic tile falling risk based on image processing
By combining multimodal image fusion, frequency domain analysis, and algebraic geometric modeling with meta-learning strategies, the problem of tile crack detection under varying illumination and complex texture conditions was solved. This achieved high signal-to-noise ratio crack feature extraction and reliable risk assessment, thereby improving building safety.
Patent Information
- Application Number
- CN202610514481.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies often face problems of low signal-to-noise ratio and information loss in image processing under conditions of changing lighting, surface occlusion, or complex textures. This leads to inaccurate or missed extraction of tile crack features, affecting building safety.
By combining multimodal image fusion, frequency domain analysis, fractional-order feature enhancement, and algebraic geometric modeling with meta-learning strategies, an intelligent detection system for tile detachment risk is constructed to achieve accurate extraction of crack information and risk assessment.
It significantly improves the accuracy and reliability of crack detection in complex environments, provides scientific risk assessment of tile detachment, reduces false alarms, and enhances the precision and predictability of building maintenance.
Smart Images
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