Multi-imaging automated inspection methods and systems for wet ophthalmic lenses

• US 7,990,531 B2
• Filed: 06/05/2008
• Issued: 08/02/2011
• Est. Priority Date: 06/05/2008
• Status: Active Grant

• Current Assignee: Coopervision International Limited (The Cooper Cos., Inc.)
• Original Assignee: Coopervision International Holding Company LP (The Cooper Cos., Inc.)
• Inventors: Clements, Julie Ann, Marsh, Jennifer Susan, Collier, Steven John
• Primary Examiner(s): Toatley; Gregory J
• Assistant Examiner(s): BRYANT, REBECCA CAROLE
• Application Number:
  US12/133,596
• Publication Number:
  US 20090303465A1
• Time in Patent Office: 1,153 Days
• Field of Search: 356/390, 356/239.2
• US Class Current: 356/239.2
• CPC Class Codes: G01M 11/0235 by measuring multiple properties of lenses, automatic lens meters
• CPC Class Codes: G01M 11/0242 by measuring geometrical properties or aberrations
• CPC Class Codes: G01M 11/0278 Detecting defects of the object to be tested, e.g. scratches or dust investigating the presence of flaws or contamination on materials by optical means G01N21/88
• CPC Class Codes: G01N 2021/887 the measurements made in two or more directions, angles, positions
• CPC Class Codes: G01N 2021/8887 based on image processing techniques
• CPC Class Codes: G01N 2021/9511 Optical elements other than lenses, e.g. mirrors
• CPC Class Codes: G01N 2021/9583 Lenses
• CPC Class Codes: G01N 21/958 Inspecting transparent materials or objects, e.g. windscreens for conveyed flat sheet or rod G01N21/896
• CPC Class Codes: G01N 2201/062 LED's

Abstract

A method for inspecting lenses, especially wet contact lenses provided in a volume of liquid inside a container is described. A first image of the lens at a first position in the container is obtained, the lens then being moved to a second position within the container where a second image is obtained. A computer algorithm processes the first and second images to compare features that have moved with the lens to those features that have not moved with the lens whereby lenses are rejected if a feature has moved with the lens but is not a normal feature of the lens.

Claims

1. A method of inspecting an ophthalmic lens for defects, comprising;

providing an ophthalmic lens in a volume of liquid in a cavity of a container;

obtaining a first image of the ophthalmic lens at a first position in the container, the first image comprising a first image of a center of the ophthalmic lens and a first image of a lens edge of the entire ophthalmic lens, the lens edge including an outer peripheral edge of the ophthalmic lens, or an inner edge of the ophthalmic lens, or a distance between the outer peripheral edge and the inner edge of the ophthalmic lens, or combinations thereof;

causing the ophthalmic lens to move from the first position in the container to a second position in the container;

obtaining a second image of the ophthalmic lens at the second position, the second image comprising a second image of the center of the ophthalmic lens and a second image of the lens edge of the entire ophthalmic lens, the lens edge including the outer peripheral edge of the ophthalmic lens, or the inner edge of the ophthalmic lens, or the distance between the outer peripheral edge and the inner edge of the ophthalmic lens, or combinations thereof;

processing the first image and second image with a computer algorithm to locate features in the images;

generating a first lens edge profile from the first image by measuring first image linear radial distances around a perimeter of the first image of the lens, each first image linear radial distance being measured from the first image of the center of the ophthalmic lens to the first image of the lens edge, wherein the lens edge used for the measuring is one of the outer peripheral edge of the ophthalmic lens, or the inner edge of the ophthalmic lens, or both, all of the first image linear radial distances are measured using the same lens edge, and the first image linear radial distances so measured vary around the perimeter of the lens;

generating a second lens edge profile from the second image by measuring second image lens linear radial distances around a perimeter of the second image of the lens, each second image linear radial distance being measured from the second image of the center of the ophthalmic lens to the second image of the lens edge, wherein the lens edge used for the measuring is one of the outer peripheral edge of the ophthalmic lens, or the inner edge of the ophthalmic lens, or both, all of the second image linear radial distances are measured using the same lens edge, the second image linear radial distances are measured using the same lens edge as the first image linear radial distances, and the second image linear radial distances so measured vary around the perimeter of the lens;

determining an amount of rotational, movement of the lens from the first position to the second position by calculating a first and second image lens angular shift between the first lens edge profile and the second lens edge profile;

calculating a first and second image feature angular shift between a corresponding feature located in the first and second images;

distinguishing a feature that has moved with the lens from a feature that has not moved with the lens by comparing the first and second image lens angular shift to the first and second image feature angular shift of the corresponding feature;

classifying the corresponding feature that has the first and second image feature angular shift within about ±

5 degrees of the lens angular shift, and is not a normal lens feature, as a lens defect; and

rejecting the lens if the lens includes a pre-determined number of lens defects.

2. The method of claim 1, wherein the step of processing the first image and the second image with a computer algorithm to locate features in the images locates features comprising potential lens defects in both the first image and the second image, and the step of calculating the first and second image feature angular shift between the corresponding feature located in the first and second images is conducted only when the potential lens defects are detected in both the first image and the second images.

3. The method of claim 1, wherein the step of causing the lens to move from the first position to the second position comprises causing movement of the lens relative to the container.

4. The method of claim 1, wherein the step of causing the lens to move from the first position to the second position comprises rotational lens movement or translational lens movement, or both.

5. The method of claim 1, wherein the step of causing the lens to move from the first position to the second position comprises rotating the container, vibrating the container, or both.

6. The method of claim 1, wherein the step of processing the first image and second image with a computer algorithm to locate features in the images comprises thresholding the first and second images to locate the features in the images.

7. The method of claim 1, wherein the step of processing the first image and second image with a computer algorithm to locate features in the images comprises identifying the outer peripheral edge, or the inner edge, or the distance between the outer peripheral edge and the inner edge, or combinations thereof in the first and second images and locating a deviation from an expected lens edge shape, the deviation being identified as a potential lens defect.

8. The method of claim 1, wherein the container is in a first location when the first image is obtained and in a second, different location when the second image is obtained.

9. The method of claim 1, wherein the ophthalmic lens comprises an identification mark and the identification mark is one of the features located in the first and second images.

10. The method of claim 9, wherein the lens comprises at least one additional feature other than the identification mark.

11. The method of claim 1, wherein the first and second images are obtained using at least one camera.

12. The method of claim 11, wherein the at least one camera includes a complementary metal oxide semiconductor (CMOS) integrated circuit, a charge-coupled device (CCD) array, or both for recording the images.

13. The method of claim 11, wherein the camera is arranged to have a depth of field sufficiently large to acquire an image in which both the lens edge and the lens surface are in focus simultaneously.

14. The method of claim 1, wherein the steps of obtaining the first image of the ophthalmic lens at the first position and obtaining the second image of the ophthalmic lens at the second position comprise generating a bright field image of the ophthalmic lens with a light source.

15. The method of claim 14, wherein the steps of obtaining the first image of the ophthalmic lens at the first position and obtaining the second image of the ophthalmic lens at the second position further comprise producing collimated light from the light source with a collimating lens and directing the collimated light to a camera.

16. The method of claim 15, wherein the step of producing collimated light from the light source includes partially collimating the light from the light source with said collimating lens, and then using the container and the liquid in container to complete collimation of the partially collimated light from the light source.

17. The method of claim 1, wherein the step of distinguishing the feature that has moved with the lens from the feature that has not moved with the lens further comprises classifying a feature that moves by more than a minimum angular shift relative to the ophthalmic lens as a non-lens feature.

18. The method of claim 1, herein the first and second lens edge profiles are generated using computer software.

19. The method of claim 1, further comprising providing, a plurality of containers, each container comprising a single ophthalmic lens, and inspecting the plurality of lenses for defects simultaneously.

20. The method of claim 19, wherein the plurality of containers are provided in a linear arrangement.

22. The method of claim 1, wherein the first and second images are obtained using one camera.

23. The method of claim 1, further comprising the steps of:

determining, based on the determined amount of rotational movement of the lens from the first position to the second position, if the ophthalmic lens moved more than ±

5°

, and, if the ophthalmic lens did not move more than ±

5°

, causing the ophthalmic lens to move from the second position in the container to a third position in the container and obtaining a third image of the ophthalmic lens at the third position, the third image comprising a third image of the center of the ophthalmic lens and a third image of the lens edge of the entire ophthalmic lens, the lens edge including the outer peripheral edge of the ophthalmic lens, or the inner edge of the ophthalmic lens, or the distance between the outer peripheral edge and the inner edge of the ophthalmic lens, or combinations thereof;

generating a third lens edge profile from the third image by measuring third image linear radial distances around a perimeter of the third image of the lens, each third image linear radial, distance being measured from the third image of the center of the ophthalmic lens to the third image of the lens edge, wherein the lens edge used for the measuring is one of the outer peripheral edge of the ophthalmic lens, or the inner edge of the ophthalmic lens, or both, all of the third image linear radial distances are measured using the same lens edge, the third image linear radial distances are measured using the same lens edge as the first image linear radial distances, and the third image linear radial distances so measured vary around the perimeter of the lens; and

determining an amount of rotational movement of the lens from the first position to the third position by calculating a first and third image lens angular shift between the first lens edge profile and the third lens edge profile;

calculating a first and third image feature angular shift between a corresponding features located in the first and third images;

distinguishing a feature that has moved with the lens from a feature that has not moved with the lens by comparing the first and third image lens angular shift to the first and third feature angular shift of the corresponding feature;

classifying the corresponding feature that has the first and third image feature angular shift within about ±

5 degrees of the lens angular shift, and is not a normal lens feature, as a lens defect; and

rejecting the lens if the lens includes a pre-determined number of lens defects.

24. The method of claim 1, further comprising obtaining a third image and a fourth image of the ophthalmic lens.

25. The method of claim 1, wherein a lens defect is classified as a feature that has an angular shift within about ±

1 degree of the lens angular shift, and is not a normal lens feature.

21. An automated ophthalmic lens inspection system comprising:

a camera;

a light source;

a carrier capable of moving an ophthalmic lens in a lens container from a first position in the container to a second position, the camera being arranged to receive light from the light source via the lens carrier; and

a processing unit for receiving first and second lens images taken by the camera, the processing unit having a first processing module for detecting features in the images taken by the camera;

a second processing module for ascertaining movement of the lens by comparing a first lens edge profile generated from the first lens image and a second lens edge profile generated from the second lens image, the first lens edge profile is generated by the processing unit from the first lens image by measuring first image linear radial distances around a perimeter of the lens in the first image, each first image linear radial distance being a measurement from a center of the lens in the first image to a lens edge in the first image, wherein the lens edge used for the measurement is one of an outer peripheral edge of the lens, or an inner edge of the lens, or both, all of the first image linear radial distances are measured using the same lens edge, and the first image linear radial distances so measured vary around the perimeter of the lens, and the second lens edge profile is generated by processing unit from the second lens image by measuring second image linear radial distances around the perimeter of the lens in the second image, each second image linear radial distance being a measurement from the center of the lens in the second image to the lens edge in the second image, wherein the lens edge used for the measurement is one of the outer peripheral edge of the lens, or the inner edge of the lens, or both, all of the second image linear radial distances are measured using the same lens edge, the second image linear radial distances are measured using the same lens edge as the first image linear radial distances, and the second linear radial distances so measured vary around the perimeter of the lens; and

a third processing module for comparing the movement of the features detected by the first processing module to the movement of the lens as ascertained by the second processing module by calculating, at least in part, a first and second image lens angular shift between, the first lens edge profile and the second lens edge profile.