Bridge concrete structure surface crack detection method and system
A concrete structure and detection method technology, which is applied in the direction of neural learning method, neural architecture, optical testing flaws/defects, etc., can solve the problems of manual detection prone to safety accidents, the impact of utility poles and guardrails, and high operating risks of inspectors. Achieve the effect of simple and effective structure, reduce computing cost, and prevent overfitting
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0016] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.
[0017] like figure 1 The present invention provides a method for detecting cracks on the surface of a bridge concrete structure and a system flow chart, which specifically includes the following steps:
[0018] (1) Data collection end: drive an industrial drone to shoot multi-area images of the concrete structure surface of the bridge to be tested; the overlapping rate of adjacent areas between the multi-area images of the concrete structure surface of the bridge to be tested should be at least 75%; the shooting sequence From one end of the concrete structure of the bridge to the other, keep the same height, the inclination of the drone remains unchanged, and the course of the drone moves parallel to the bridge; the multi-area image of the surface of the concre...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


