The application of iJUNCO image products in bridge crack visual inspection

Bridge cracks are an important part of high-speed rail bridge safety detection and bridge collapse accident prevention. At present, their detection mainly uses manual methods, and there are many problems such as slow detection speed, poor efficiency, high labor intensity, and low safety. The detection technology adopts machine vision method, uses high-resolution cameras to take images of crack bridges, and then processes them with software to obtain crack information.

Based on the cooperation with several bridge crack detection research institutions, Jingke Zhizo summarized two bridge crack detection methods and supporting product solutions, and shared them with you here. The difference between these two methods is mainly due to the difference in working distance, which results in different types of lenses for use. Please see the details below.

The first is a long-distance bridge crack detection scheme. This method is mainly applicable to crack detection of concrete bridges at long distances in the figure below. The specific working method is to use a 2900W area array high-resolution CCD camera at a distance of 30-40m, with a telephoto lens with a focal length of 300-400mm. With a range of about 30cm at a time, the detection accuracy can be as high as 0.05mm. Because the single shooting range is small, a high-precision gimbal needs to be installed at the camera installation position to perform precise movement angle monitoring to ensure that the inspection process can be completed uniformly and quickly.

Long-distance bridge crack detection scheme

The second is a detection scheme using mechanical guides and close-range imaging. The figure below uses a 2900W high-resolution CCD camera and a BTOS bi-telecentric lens to perform close-up imaging of the bridge during the uniform running of the mechanical guide rail, and then transfer the acquired image back to the computer for processing. Because this solution uses a bi-telecentric lens, a higher resolution, distortion-free image can be obtained, and the depth of field is greater, so higher detection accuracy can be obtained.

Short-distance bridge crack detection scheme

The final image obtained by the above two methods is as follows:

Bridge crack imaging effect map

On the basis of obtaining high-resolution images, image processing software is used to perform grayscale stretching, image segmentation, adding Gaussian noise, and filtering to obtain crack processing results.

Bridge crack image processing results

The products involved in the scheme for bridge crack detection using the above methods are all provided by Wei Shi images. If you have related application requirements, please call us for consultation.