COLOR VISION INSPECTION SYSTEM AND METHOD OF INSPECTING A VEHICLE

• US 20130265410A1
• Filed: 04/09/2013
• Published: 10/10/2013
• Est. Priority Date: 04/10/2012
• Status: Abandoned Application

• Current Assignee: MAHLE Powertrain, LLC (MAHLE-STIFTUNG GmbH)
• Original Assignee: MAHLE Powertrain, LLC (MAHLE-STIFTUNG GmbH)
• Inventors: Bolt, Louis Scott
• Application Number:
  US13/859,110
• Publication Number:
  US 20130265410A1
• Time in Patent Office: Days
• US Class Current: 348/86
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/20076 Probabilistic image processing
• CPC Class Codes: G06T 2207/30164 Workpiece; Machine component
• CPC Class Codes: G06T 7/0004 Industrial image inspection
• CPC Class Codes: G06T 7/001 using an image reference approach

Abstract

A color vision inspection system to inspect quality of a vehicle includes at least one camera to capture an inspection image of an inspection target and at least one inspection item on a vehicle. The color vision inspection system also includes a computer communicating with the at least one camera to analyze the inspection image with a calibration image and with CPK statistical analysis determine a percentage difference in a match of the inspection image to the calibration image to conclude whether the inspection item passed the inspection.

Claims

1. A color vision inspection system to inspect quality of an automotive vehicle comprising:

at least one camera to capture an inspection image of an inspection target and at least one inspection item on an automotive vehicle; and

a computer communicating with the at least one camera to analyze the captured inspection image with a calibration image and with CPK statistical analysis to determine a percentage difference in a match of the inspection image to the calibration image to conclude whether the inspection item passed the inspection.

2. A color vision inspection system as set forth in claim 1 wherein said at least one camera comprises a plurality of cameras disposed about the automotive vehicle.

3. A color vision inspection system as set forth in claim 2 wherein one of said cameras is disposed on each side of the automotive vehicle.

4. A color vision inspection system as set forth in claim 2 including a control system to operatively control said cameras and to activate inspection items on the automotive vehicle.

5. A color vision inspection system as set forth in claim 4 wherein said control system includes said computer, a display, and user input mechanism.

6. A color vision inspection system as set forth in claim 4 including a communication system for allowing said control system to communicate with said cameras and the automotive vehicle.

7. A color vision inspection system as set forth in claim 1 including a computer program employed to perform a method for inspecting the automotive vehicle that is resident on said computer and controls said cameras and activation of the at least one inspection items.

8. A color vision inspection system to inspect quality of an automotive vehicle comprising:

a plurality of cameras disposed about the automotive vehicle, one of said cameras is disposed on each side of the automotive vehicle to capture an inspection image of an inspection target and at least one inspection item on an automotive vehicle; and

a computer communicating with said cameras to analyze the captured inspection image with a calibration image and with CPK statistical analysis determine a percentage difference in a match of the inspection image to the calibration image to conclude whether the at least one inspection item passed the inspection.

9. A method of inspecting an automotive vehicle having at least one inspection item using a color vision inspection system, said method comprising the steps of:

selecting by a computer of the color vision inspection system a good image of an inspection item on the automotive vehicle;

selecting by the computer a blurred image of the inspection item on the automotive vehicle;

making by the computer a calibration mask of the good inspection item based on the good image and blurred image of the inspection item;

taking by a camera of the color vision inspection system a good image of a portion of the automotive vehicle having at least one inspection item;

determining by the computer the inspection item search area from the camera;

making by the computer an inspection mask of the inspection item search area based on the images of the inspection item search area;

determining by the computer a percentage difference between a best match of the calibration mask of the good inspection item and the inspection mask of the inspection item search area; and

concluding by the computer whether the inspection item passed the inspection based on the percentage difference between what is deemed a good or passed vehicle, and what is deemed a detective or failed vehicle with a defect for the inspected vehicle.

10. A method as set forth in claim 9 including the step of determining by the computer that the inspection item is good based on the good image of the inspection item.

11. A method as set forth in claim 9 including the step of determining by the computer that the inspection item is blurred based on the blurred image of the inspection item.

12. A method as set forth in claim 9 including the step of determining by the computer the inspection item search area from the camera is blurred based on an image from the camera.

13. A method as set forth in claim 9 including the step of determining by the computer whether the image size of the mask of the inspection item search area is greater than the image size of the calibration mask of the good inspection item.

14. A method as set forth in claim 9 including the step of performing CPK statistical analysis by the computer to determine percentage difference between a best match of the calibration mask of the good inspection item and the inspection mask of the inspection item search area.

15. A method of inspecting an automotive vehicle having at least one inspection item using a color vision inspection system, said method comprising the steps of:

taking by a camera of the color vision inspection system a good image of a portion of the automotive vehicle having at least one inspection item;

determining by a computer of the color vision inspection system the inspection item search area from the camera;

determining by the computer the inspection item search area from the camera is blurred based on an image from the camera;

making by the computer an inspection mask of the inspection item search area based on the images of the inspection item search area;

selecting by a computer of the color vision inspection system a good image of an inspection item on the automotive vehicle;

determining by the computer that the inspection item is good based on the good image of the inspection item;

selecting by the computer a blurred image of the inspection item on the automotive vehicle;

determining by the computer that the inspection item is blurred based on the blurred image of the inspection item;

making by the computer a calibration mask of the good inspection item based on the good image and blurred image of the inspection item; and

performing CPK statistical analysis by the computer and determining a percentage difference between a best match of the calibration mask of the good inspection item and the inspection mask of the inspection item search area; and

concluding by the computer whether the inspection item passed the inspection based on the percentage difference between what is deemed a good or passed vehicle, and what is deemed a defective or failed vehicle with a defect for the inspected vehicle.