Office Action Predictor
Last updated: April 16, 2026
Application No. 18/692,353

IDENTIFYING LENS CHARACTERISTICS USING REFLECTIONS

Non-Final OA §103
Filed
Mar 15, 2024
Examiner
SOHN, SEUNG C
Art Unit
2878
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Apple INC.
OA Round
1 (Non-Final)
87%
Grant Probability
Favorable
1-2
OA Rounds
2y 4m
To Grant
92%
With Interview

Examiner Intelligence

Grants 87% — above average
87%
Career Allow Rate
707 granted / 813 resolved
+19.0% vs TC avg
Moderate +5% lift
Without
With
+5.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 4m
Avg Prosecution
23 currently pending
Career history
836
Total Applications
across all art units

Statute-Specific Performance

§101
2.1%
-37.9% vs TC avg
§103
24.4%
-15.6% vs TC avg
§102
50.0%
+10.0% vs TC avg
§112
13.6%
-26.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 813 resolved cases

Office Action

§103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 1-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Limon et al. (Patent App. Pub. No. EP 3 405 767 A1). Regarding claims 1, 14 and 19, Limon et al. shows in Figs. 1-7 a system (100) comprising memory (194) and one or more processors at a device (102, i.e., computing device) coupled to the memory, a single light source (722) arrangement of light sources, and an image sensor (718): producing a pattern of light using the single light source arrangement of light sources; detecting reflections in an image obtained via the image sensor (718), the reflections corresponding to light from each of a plurality of the light sources reflecting from a surface of an attachable lens (710); and determining a lens characteristic of the attachable lens based on the detected reflections and a 3D spatial relationship between the image sensor and the light sources (claim 1, [0365] – [0366]). Limon et al. is silent that the device uses an arrangement of light sources instead of a single light source. Arnoult et al. shows in Fig. 1 a pattern (21) of light using an arrangement of light sources (20). Therefore, it would have been obvious to one of ordinary skill in the art to provide an arrangement of light sources of Arnoult et al. on the device of Limon et al. in order to measure a larger surface region (see claims 1 & 12). Regarding claims 2 and 15, Limon et al. shows in Figs. 1-7 the method of claim 1 and the system of claim 14, wherein the lens characteristic is a diopter of the attachable lens ([00182]). Regarding claims 3 and 16, Limon et al. shows in Figs. 1-7 the method of claim 1 and the system of claim 14, wherein the lens characteristic is the position of the attachable lens ([00249]). Regarding claims 4 and 17, Limon et al. shows in Figs. 1-7 the method of claim 1 and the system of claim 14, wherein the lens characteristic is a presence of the attachable lens ([00249]). Regarding claim 5, Limon et al. shows in Figs. 1-7 the method of claim 1, wherein determining the lens characteristic comprises assigning pairs of reflections in multiple images obtained via the image sensor to an individual light source of the light sources. Regarding claims 6-9, 18 and 20, Limon et al. shows in Figs. 1-7 the method of claim 1, the system of claim 14, and the non-transitory computer-readable storage medium of claim 19, wherein determining the lens characteristic comprises assigning a first pair of reflections and a second pair of reflections in images obtained via the image sensor to a first light source and a second light source, respectively, of the light sources. Regarding claim 10, Limon et al. shows in Figs. 1-7 the method of claim 1, wherein the detected reflections in the image include a static reflection corresponding to light from at least one of the light sources reflecting from a surface of an additional optical component in the electronic device. Regarding claim 11, Limon et al. shows in Figs. 1-7 the method of claim 1, wherein at least one of the light sources and the image sensor are used for gaze tracking of a user of the electronic device. Regarding claim 12, Limon et al. shows in Figs. 1-7 the method of claim 1, wherein the lens characteristic is determined via a machine learning model. Regarding claim 13, Limon et al. shows in Figs. 1-7 the method of claim 1, wherein the attachable lens is a corrective lens ([00003]). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: Brown (Patent App. Pub. No. US 2018/0164535 A1) discloses a light pattern based on light reflected from a retina of an eye and includes an array of spots. Rathi et al. (Patent App. Pub. No. US 2023/0417627 A1) discloses determining the one or more lens characteristics of the first attachable lens can including producing a pattern of light using an arrangement of light sources. Any inquiry concerning this communication or earlier communications from the examiner should be directed to SEUNG C SOHN whose telephone number is (571)272-4123. The examiner can normally be reached M - F 8 - 5. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, GEORGIA EPPS can be reached at 571-272-2328. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /SEUNG C SOHN/Primary Examiner, Art Unit 2878
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Prosecution Timeline

Mar 15, 2024
Application Filed
Nov 25, 2025
Non-Final Rejection — §103
Feb 20, 2026
Interview Requested
Feb 26, 2026
Applicant Interview (Telephonic)
Feb 26, 2026
Examiner Interview Summary
Mar 26, 2026
Response Filed

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
87%
Grant Probability
92%
With Interview (+5.1%)
2y 4m
Median Time to Grant
Low
PTA Risk
Based on 813 resolved cases by this examiner. Grant probability derived from career allow rate.

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