Method for detecting a probable error in a set of data relative to a wearer and/or a frame chosen by the wearer

Patent metadata

Field	Value
Publication number	US-12013594-B2
Application number	US-201716313376-A
Country	US
Kind code	B2
Filing date	Jun 30, 2017
Priority date	Jun 30, 2016
Publication date	Jun 18, 2024
Grant date	Jun 18, 2024

Abstract

Disclosed is a method for detecting a probable error in a set of data relative to a wearer and/or to a frame chosen by the wearer, at least one of these data being used for ordering an ophthalmic lens to be fitted into the frame for the wearer, the set of data including at least a value of a first parameter and a value of a second parameter different from the first parameter, the first and second parameters being relative to the wearer and/or a frame chosen by the wearer, the method including: a) determining a level of consistency of the values of the first and second parameter with each other, based on a predetermined statistical consistency rule linking the first and second parameters; and b) emitting, based on this level of consistency, an alert signal in order to report a probable error.

First claim

The invention claimed is:

1. A method for detecting with a computer unit a probable error in a set of data relative to a wearer and/or to a frame chosen by the wearer, at least one of these data being used for ordering an ophthalmic lens to be fitted into said frame for said wearer, said set of data comprising at least a value of a first parameter and a value of a second parameter different from said first parameter, said first and second parameters being relative to the wearer and/or a frame chosen by the wearer, and at least one of said first and second parameters being chosen among the following parameters:
a parameter relative to the refraction features of at least one of the eyes of the wearer,
a fitting parameter relative to the position of the chosen frame and/or of the ophthalmic lens relative to the eyes of the wearer,
a morphologic parameter relative to the size and/or position of the features of the face of the wearer,
a visual behavior and/or postural parameter relative to the behavior of the wearer during a visual task, or
a geometric parameter relative to a dimension of the frame,
said method comprising the following steps:
a) determining a level of consistency of said values of the first and second parameter with each other, based on a predetermined statistical consistency rule linking said first and second parameters, said predetermined statistical consistency rule taking into account
a distribution function of said values of said first and/or second parameters, and
a confidence interval determined based on said distribution function and determined by a quantile analysis of said multivariate frequency distribution, and

b) emitting, based on this level of consistency, an alert signal in order to report a probable error.

2. The method for detecting an error according to claim 1 , wherein, in step b), said signal is emitted when said level of consistency is below a predetermined minimal level.

3. The method for detecting an error according to claim 2 , wherein, in step a), a probability for each parameter of having the corresponding value is determined, and the parameter whose value has the lowest probability is identified as the parameter exhibiting said probable error.

4. The method for detecting an error according to claim 1 , wherein, in step b), a first signal is emitted when said level of consistency is below a first predetermined minimal level and at least a second signal is emitted when said level of consistency is below a second predetermined level, different from the first predetermined minimal level.

5. The method for detecting an error according to claim 4 , wherein, in step a), a probability for each parameter of having the corresponding value is determined, and the parameter whose value has the lowest probability is identified as the parameter exhibiting said probable error.

6. The method for detecting an error according to claim 1 , wherein, in step a), a probability for each parameter of having the corresponding value is determined, and the parameter whose value has the lowest probability is identified as the parameter exhibiting said probable error.

7. The method for detecting an error according to claim 1 , wherein, in step a), said predetermined statistical consistency rule is determined based on a statistical multivariate frequency distribution function between said first and second parameters, obtained by collecting past values of said first and second parameters in each order received by an ophthalmic lens manufacturer during a predetermined period of time.

8. The method for detecting an error according to claim 7 , wherein said predetermined statistical consistency rule takes into account a distribution of the numbers of orders as a function of the values of said first and/or second parameters or as a function of a factor depending on said first and/or second parameter.

9. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 7 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

10. The method for detecting an error according to claim 1 , wherein, in step a), a theoretical value of the first parameter is determined based on said value of the second parameter and said predetermined statistical consistency rule comprises a comparison between said theoretical value and said value of the first parameter.

11. The method for detecting an error according to claim 10 , wherein said comparison between said theoretical value and said value of the first parameter is made thanks to a graphical display of the theoretical value and the value of the first parameter.

12. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 10 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

13. The method for detecting an error according to claim 1 , wherein said predetermined statistical consistency rule comprises comparing the value of the first parameter to a target interval of values determined based on said value of the second parameter.

14. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 13 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

15. The method for detecting an error according to claim 1 , wherein, in step a), said predetermined statistical consistency rule takes into account a probability of having said value of the first parameter knowing a factor depending on the value of the second parameter, and/or a probability of having said value of the second parameter knowing a factor depending on the value of the first parameter.

16. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 15 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

17. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 1 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

18. A method for ordering lenses, comprising the following steps:
determining a set of data for ordering said lenses,
inputting said set of data into a computer,
implementing the method for detecting a probable error according to claim 1 , and
in case an alert signal is emitted when implementing said method for detecting a probable error, checking said set of data.

Assignees

• Essilor Int

Inventors

• Escalier Guilhem
• Allione Pascal

Classifications

• G01M11/08

  Testing mechanical properties {(G01M11/005 takes precedence)} · CPC title

• G06F16/2365

  Ensuring data consistency and integrity · CPC title

• G02C7/027

  considering wearer's parameters · CPC title

• G02C13/005 Primary

  Measuring geometric parameters required to locate ophtalmic lenses in spectacles frames (apparatus for testing or instruments for examining the eyes per se A61B3/00; machines or devices and accessories for grinding the edges of lenses using spectacles as a template B24B9/144) · CPC title