Method and system for remotely inspecting bridges and other structures

• US 9,036,861 B2
• Filed: 02/08/2013
• Issued: 05/19/2015
• Est. Priority Date: 04/22/2010
• Status: Active Grant

• Current Assignee: University of North Carolina At Charlotte (University of North Carolina System)
• Original Assignee: University of North Carolina At Charlotte (University of North Carolina System)
• Inventors: Chen, Shen-En, Hauser, Edwin W., Boyle, Charles G., Natarajan, Meenu
• Primary Examiner(s): Koziol, Stephen R
• Assistant Examiner(s): GILLIARD, DELOMIA L
• Application Number:
  US13/762,864
• Publication Number:
  US 20130216089A1
• Time in Patent Office: 830 Days
• Field of Search: 382/100
• US Class Current: 382/100
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/10032 Satellite or aerial image; Remote sensing
• CPC Class Codes: G06T 2207/30184 Infrastructure
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection

Abstract

Spatially Integrated Small-Format Aerial Photography (SFAP) is one aspect of the present invention. It is a low-cost solution for bridge surface imaging and is proposed as a remote bridge inspection technique to supplement current bridge visual inspection. Providing top-down views, the airplanes flying at about 1000 feet can allow visualization of sub-inch (large) cracks and joint openings on bridge decks or highway pavements. On board Global Positioning System (GPS) is used to help geo-reference images collected and facilitate damage detection. Image analysis is performed to identify structural defects such as cracking. A deck condition rating technique based on large crack detection is used to quantify the condition of the existing bridge decks.

Claims

1. A computer method of inspecting a structure, comprising:

flying a fixed-wing aircraft over the structure at an altitude of between about 500 feet and 1500 feet above ground level;

capturing a plurality of images of the structure using a small format digital camera being transported by the aircraft, wherein each of the images have a ground resolution of not greater than one inch;

associating each of the plurality of images with unique global positioning system data;

providing a computer configured for processing the images;

spatially integrating the plurality of images into a composite image using the computer; and

analyzing the composite image to identify structural defects using the computer;

marking the identified structural defects, including by altering the appearance of the structural defects.

2. The method of claim 1, wherein the step of spatially integrating the plurality of images into a composite image using the computer comprises processing the plurality of images using a global information system application executed by the computer.

3. The method of claim 1, wherein the step of analyzing the composite image to identify structural defects using the computer comprises automatically identifying cracks, spalls, potholes, expanded joints, areas of delamination, efflourescence, mineralization, stressed regions, and/or collision damage.

4. The method of claim 1, wherein the step of analyzing the composite image to identify structural defects using the computer comprises the following steps:

loading the composite image into a computer software application adapted for image processing;

setting a tolerance value;

selecting a portion of the composite image to analyze;

converting the portion of the composite image to grayscale;

removing shadow regions from the portion of the composite image;

identifying the lowest pixel value corresponding to the structural defect;

associating with the structural defect all pixels within a predetermined bandwidth range of the lowest pixel value; and

marking all pixels associated with the structural defect.

5. A computerized method of inspecting a structure, comprising:

creating a plurality of still images of the structure using fixed-wing-aircraft-based aerial photography, wherein each of the still images of the structure have a ground resolution of not greater than on inch;

providing a computer configured for processing the still images;

creating a composite image of the structure from a combination of the still images using the computer;

automatically marking structural defects of the structure on the composite image using the computer, including by altering the appearance of the structural defects;

automatically organizing the markings of the structural defects into image layers using the computer.

6. A computerized method according to claim 5, wherein respective image layers display each occurrence of a respective structural defect on the composite image.