Structured light-based surface defect high-speed detection system and detection method thereof

Abstract

The invention discloses a structured light-based surface defect high-speed detection system, which comprises a high-speed camera, a structured light source, a light shield plate and an image processor, wherein the optical axis of the high-speed camera and a surface to be detected form a depression angle; the optical plane of the structured light source and the optical axis of the high-speed camera form an included angle of greater than or equal to 90 degrees; and the surface defect is mainly detected by using the detection system in the way that difference is made through pixel points to judge the existence of the defect, pixel points corresponding to the positions without defect are fitted and then deviation is calculated to further calculate the size of the defect and finally a light strip is partially integrated into an image. The detection system has the beneficial effects that the device is rational in structural design, the problem of influence brought by vibration of a vehicle body is solved, the image processing method is concise, the speed of a detection vehicle provided with the detection system can reach 300 km / h, on-line detection of the defects of surfaces of high speed train rails, road pavements and surfaces of runways can be realized, meanwhile, detection of defects of less than 1 mm can be realized, the detection result is displayed in one image to facilitate observation.

Description

technical field [0001] The invention relates to a detection system and a detection method thereof, in particular to a structured light-based high-speed detection system for detecting defects on a flat surface and a detection method thereof. Background technique [0002] For some objects with a flat surface, people often do not want to have surface defects, such as highway pavement, rail surface, airstrip surface, etc. When there are surface defects, they need to be detected in time and dealt with accordingly. [0003] For the defects of highway pavement, rail surface, and airstrip surface, the traditional detection method is manual measurement and confirmation, because it requires a lot of manpower, material resources and time, and the detection data is not accurate enough, which brings great difficulties to road repair and maintenance. Great inconvenience. With the rapid development of highways, railways and civil aviation, the automatic detection of road pavement defects ...

AI Technical Summary

Problems solved by technology

The above-mentioned defects on the road surface and rail surface not only cause the car body to bump, cause the human body to feel uncomfortable, but also accelerate the damage of the road and railway, and even cause traffic accidents, so the defects of the road and rail are quickly detected to provide road and rail It is very important to provide accurate condition analysis indicators for repair and maintenance

[0004] At present, there are many traffic road surface defect detection systems. For example, the inertial reference laser profiler calculated and corrected by the acceleration sensor uses the acceleration sensor to reduce the impact of vehicle body vibration on the detection of road defects, but there are still certain problems: due to the use of sensors Obtaining the vibration parameters of the car body, on the one hand, there is an instrument error in the sensor itself, and on the other hand, the sensor and the image cannot be completely synchronized, and there are also errors. Therefore, the use of the acceleration sensor cannot completely solve the problem of the impact of the car body vibration on the detection results.

Images