Prosecution Insights
Last updated: October 25, 2026
Application No. 19/082,735

LIQUID DISPENSER SENSING DISTANCE SELF-LEARNING METHOD, AN ELECTRONIC DEVICE, AND A STORAGE MEDIUM

Non-Final OA §103
Filed
Mar 18, 2025
Priority
Sep 13, 2022 — CN 202211107528.X +1 more
Examiner
PREVIL, DANIEL
Art Unit
2685
Tech Center
2600 — Communications
Assignee
Shanghai Kohler Electronics Ltd.
OA Round
1 (Non-Final)
86%
Grant Probability
Favorable
1-2
OA Rounds
6m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 86% — above average
86%
Career Allowance Rate
1359 granted / 1583 resolved
+23.8% vs TC avg
Moderate +12% lift
Without
With
+12.5%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 1m
Avg Prosecution
26 currently pending
Career history
1625
Total Applications
across all art units

Statute-Specific Performance

§101
1.2%
-38.8% vs TC avg
§103
55.7%
+15.7% vs TC avg
§102
9.6%
-30.4% vs TC avg
§112
16.0%
-24.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1583 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. Claims 1-20 are rejected under 35 U.S.C. 103 as being unpatentable over Redden et al. (US 2019/0357520) in view of Obuchi et al. (US 5,505,843). Regarding claims 1, 11, 19, Redden discloses a liquid dispenser (fluid reservoir in page 3, [0027]) comprising: a sensor configured to determine a plurality of distances between a reference object at the sensor (sensor to measure distances between the boom sprayer and other objects in the field in page 6, [0054]); and a processor configured to initiate a self-learning mode (page 13, [0116); that identifies a sensing distance (page 7, [0060]). Redden discloses all the limitations set forth above but fails to explicitly disclose based on a shortest distance from a plurality of distances for the reference object. However, Obuchi discloses based on a shortest distance from a plurality of distances for the reference object (col. 7, lines 9-16). Therefore, it would have been obvious to one of ordinary skill in the art at the time the invention was first filed to incorporate the features of Obuchi within the system of Redden in order to control the various settings of the liquid dispenser thereby increasing the reliability of the system. Regarding claim 2, Redden and Obuchi disclose all the limitations set forth in claim 1 and Obuchi further discloses wherein the sensing distance is based on the shortest distance minimum a predetermined retraction distance (col. 7, lines 9-16). Regarding claims 3, 12, Redden discloses wherein the processor configured to operate in a sensing mode (fig. 3). Regarding claim 4, Redden discloses wherein the processor configured to provide a lighting effect based on the sensing mode (graphics display) (fig. 8). Regarding claim 5, Redden discloses wherein the processor configured to provide a lighting effect based on the self-learning mode (graphics display) (fig. 8). Regarding claim 6, Redden discloses wherein the processor is configured to compare the sensing distance to a subsequent detected distance (page 7, [0060]; page 8, [0073-0074]). Regarding claim 7, Redden discloses wherein the processor receives self-learning instructions from a cloud server (page 9, [0077-0079]; page 13, [0116]). Regarding claim 8, Redden discloses a memory configured to store the sensing distance (distance measurement recorded in page 7, [0060]). Regarding claim 9, Redden discloses an input device, wherein the processor initiates the self-learning mode in response to the button (page 13, [0116]) Regarding claim 10, Redden discloses wherein the processor configured to operate in a sensing mode and wherein the processor initiates the sensing in response to the button (page 7, [0060]). Regarding claim 13, Redden discloses detecting a distance between a subsequent object and the sensing component; and comparing the detected distance with the sensing distance (page 7, [0060-0062]). Regarding claim 14, Redden discloses providing a lighting effect in response to the comparison of the detected distance and the sensing distance (fig. 8; page 7, [0060-0062]). Regarding claim 15, Redden discloses providing a lighting effect for the sensing mode (fig. 8). Regarding claim 16, Redden discloses providing a lighting effect for the self-learning mode (fig. 8). Regarding claim 17, Redden discloses obtaining a plurality of distances between the reference object and the sensing component in a direction perpendicular to the sensing component when the reference object is disposed within a detection range of the sensing component (page 6, [0054]). Regarding claim 18, Redden discloses generating a table linking each of a plurality of light effects and a corresponding state of the self-learning mode (fig. 8). Regarding claim 20, Redden discloses a countertop indicator light communicably connected to the at least one processor configured to display a first light effect, among a plurality of first light effects, in the self-learning mode (fig. 8; page 16, [0137-0138]). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Carro (US 2005/0138562) discloses system……documents. Schell et al. (US 2005/0213109) discloses sensing device……sources. Williams et al. (US 2008/0113746) discloses realistic video reels. Se et al. (US 2021/0004606) discloses people counting….methods. Considine et al. (US 10,803,186) discloses systems……management. Osiroff et al. (US 2008/0161840) discloses athrectomy….apparatus. Any inquiry concerning this communication or earlier communications from the examiner should be directed to DANIEL PREVIL whose telephone number is (571)272-2971. The examiner can normally be reached Monday-Friday from 9:30 AM -6:00 PM. 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, Wang Quan-Zhen can be reached at 571 272 3114. 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. DP September 4, 2026 /DANIEL PREVIL/ Primary Examiner, Art Unit 2685
Read full office action

Prosecution Timeline

Mar 18, 2025
Application Filed
Sep 10, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

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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
86%
Grant Probability
98%
With Interview (+12.5%)
2y 1m (~6m remaining)
Median Time to Grant
Low
PTA Risk
Based on 1583 resolved cases by this examiner. Grant probability derived from career allowance rate.

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