Prosecution Insights
Last updated: August 18, 2026
Application No. 17/405,790

AUTO-CALIBRATING N-CONFIGURATION VOLUMETRIC CAMERA CAPTURE ARRAY

Final Rejection §103
Filed
Aug 18, 2021
Priority
Feb 12, 2021 — provisional 63/148,764
Examiner
GADOMSKI, STEFAN J
Art Unit
2485
Tech Center
2400 — Computer Networks
Assignee
Sony Group Corporation
OA Round
8 (Final)
77%
Grant Probability
Favorable
9-10
OA Rounds
0m
Est. Remaining
84%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allowance Rate
324 granted / 423 resolved
+18.6% vs TC avg
Moderate +7% lift
Without
With
+7.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
19 currently pending
Career history
449
Total Applications
across all art units

Statute-Specific Performance

§101
7.4%
-32.6% vs TC avg
§103
47.2%
+7.2% vs TC avg
§102
13.7%
-26.3% vs TC avg
§112
25.8%
-14.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 423 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 . Response to Amendment The Amendment filed 04/24/2026 has been entered. No claims have been added or cancelled. Claims 1, 9, and 8 have been amended. Claims 1, 4-9, and 15-19 remain pending in the application. Response to Arguments Applicant’s arguments, see page 6, filed 04/24/2026, with respect to the claim objection have been fully considered and are persuasive. The claim objection has been withdrawn. Applicant’s arguments, see page 6, filed 04/24/2026, with respect to the 112 rejection have been fully considered and are persuasive. The 112 rejection has been withdrawn. Applicant’s arguments, see pages 6-10, filed 04/24/2026, with respect to the 103 rejections have been fully considered but are not persuasive. With respect to item II.A. of Applicant’s response, this is simply a statement regarding the claims and specification and does not provide an argument. With respect to item II.B. of Applicant’s response, the Examiner cannot concur. Applicant asserts the cited portions of the Islam reference are “directed to inter-camera spatial calibration” and therefore “do not disclosing using a recognized visible calibration target or scene feature to determine the claimed array-level configuration, much less a configuration that includes arranging the plurality of imaging devices in different types and grouping, including infra-red/color groupings and spherical arrays”. A review of the amended claim language shows the claim language recites “at least one of” with respect to: 1) groups of a certain number of imaging devices; 2) groups of infra-red and color imaging devices; and 3) arrays of imaging devices in a spherical structure. The claim language only requires one of the three cited groups. Islam discloses a certain number of imaging device as recited by item 209 of FIG. 2 and cited in the rejection. Therefore, Islam discloses the claim language. With respect to item II.C. of Applicant’s response, as noted above Islam discloses the limitation as explained in the response to item II.B of Applicant’s response. With respect to item II.D. of Applicant’s response, as noted above Islam discloses the limitation as explained in the response to item II.B of Applicant’s response. With respect to item II.E. of Applicant’s response, Examiner cannot concur. The cited accuracy as motivation to combine Islam and Liu is valid for using mounted cameras, as disclosed by Liu, with the invention disclosed by Islam. As explained by paragraph [0003] of Liu cited in the Office Action, providing cameras with the ability to move through mounting them on robots or motion stages allows the machine vision system to perform vision tasks with increased accuracy. With respect to item III. of Applicant’s response, as noted above Islam discloses the limitation as explained in the response to item II.B of Applicant’s response. With respect to item IV. of Applicant’s response, as noted above Islam discloses the limitation as explained in the response to item II.B of Applicant’s response. For the reasons listed above, the 103 rejection is maintained. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. 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. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1, 4, 8-9, 15, and 18-19 rejected under 35 U.S.C. 103 as being unpatentable over Islam et al. US 2021/0012534 A1, hereafter Islam, in view of Liu et al. US 2019/0308326 A1, hereafter Liu, further in view of Rowell et al. US 2019/0158813 A1, hereafter Rowell. Regarding claim 1, Islam discloses a machine vision and control system to capture images using camera and to calibrate the cameras using the images (method and system for performing automatic camera calibration for a scanning system) [title], the machine vision and control system comprising: a machine vision system including: a plurality of imaging devices to capture or detect one of (1) visible calibration target or (2) feature within a scene or capture volume for volumetric data capture (3D calibration target; control circuit receives a first set of calibration images via the communication interface from the first camera, wherein the first set of calibration images capture the first set of faces of the polyhedron and capture the first set of 2D calibration patterns disposed respectively on the first set of faces 201; control circuit receives a second set of one or more calibration images via the communication interface from the second camera, wherein the second set of one or more calibration images capture the additional face of the polyhedron 203) [abstract; FIG. 2]; a processor (control circuit may include one or more processors) [0035] to determine a configuration of the plurality of imaging devices using the captured or detected visible calibration target or feature (control circuit determines, based on first set of coordinates and the second set of coordinates, a transformation function for describing a spatial relationship between the first camera and the second camera 209) [FIG. 2], wherein the determined configuration includes arranging the plurality of imaging devices in an array of different types and groupings of imaging devices including at least one of groups of a certain number of imaging devices, groups of infra-red and color imaging devices, and arrays of imaging devices in a spherical structure to perform the volumetric capture (control circuit determines, based on first set of coordinates and the second set of coordinates, a transformation function for describing a spatial relationship between the first camera and the second camera 209) [FIG. 2], the processor to automatically calibrate the plurality of imaging devices using the arrangement of the plurality of imaging devices in an array of different types and groupings of imaging devices (camera calibration according to steps 201-209) [0045]; and a control system (robot operation system 101) including motorized device (robot) [0023], wherein the processor automatically adjusts, positions, aligns, and calibrates the motorized device of the control system using the arrangement of the plurality of imaging devices in an array of different types and groupings of imaging devices (after camera calibration has been performed and when an object other than the 3D pattern is disposed on a first surface of the platform, control circuit generates a 3D model for representing the object, wherein the 3D model is generated based on the transformation function, based on images of the object 211; 3D model of may facilitate an ability of a robot to interact with the object; picking up the object) [FIG. 2; 0023; 0024]. However, while Islam discloses using a pattern to determine a camera configuration to generate a 3D object for a robot to interact with the corresponding real world object, Islam fails to explicitly disclose automatically adjust, position, align, and calibrate lens parameters, including focus and aperture; motorized device mounts on which the plurality of imaging devices is placed, wherein the processor automatically adjusts, positions, aligns, and calibrates the motorized device mounts of the control system using the arrangement of the plurality of imaging devices in an array of different types and grouping of imaging devices. Liu, in an analogous environment, discloses motorized device mounts on which the plurality of imaging devices is placed (robot 105 with a camera 110 mounted thereon; in some embodiments, more than one camera can be used) [0038; 0084], wherein the processor automatically adjusts, positions, aligns, and calibrates the motorized device mounts of the control system using the arrangement of the plurality of imaging devices in an array of different types and grouping of imaging devices (the motion controller can be the machine vision master…the motion controller can control the pose and movement of the robot and to cause the machine vision processor to acquire images…cause the machine vision processor to perform the calibration described herein) [0039]. Islam and Liu are analogous because they are both related to calibration of cameras for machine vision. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use the mounted cameras, as disclosed by Liu, with the invention disclosed by Islam, the motivation being accuracy [0003]. Further, Rowell, in an analogous environment, discloses the processor automatically adjusts, positions, aligns, and calibrates lens parameters needed including focus and aperture (real time camera setting 902…video sequences captured using camera configurations comprising one or more camera setting (e.g., baseline, zoom, focus aperture; slight changes to the position of one or more lenses…an auto re-calibration process that modifies 3D calibration metadata in real time to correct for changes in the position of one or more camera module components) [0119; 0135]. Islam and Liu and Rowell are analogous because they are related to calibration of a plurality of cameras. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use the lens auto adjustment for calibration, as disclosed by Rowell, with the invention disclosed by Islam and Liu, the motivation being compensating for intrinsic lens parameters [0004]. Regarding claim 4, Islam, Liu, and Rowell address all of the features with respect to claim 1 as outlined above. Liu further discloses the control system manually activates or initiates a control process of the processor, wherein the control process includes adjusting, positioning, aligning, and calibrating (control system 115 can manipulate the pose of robot 105, e.g., based on analysis of image data from camera 110) [0039]. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use the control process, as disclosed by Liu, with the invention disclosed by Islam, the motivation being accuracy [0003]. Regarding claim 8, Islam, Liu, and Rowell address all of the features with respect to claim 1 as outlined above. Islam further discloses lenses electronically connected to the plurality of imaging devices (lens) [0030]. Claims 9 are drawn to a method implemented by the control system of claims 1, and are therefore rejected in the same manner as above. Regarding claim 15, Islam, Liu, and Rowell address all of the features with respect to claim 9 as outlined above. Liu further discloses wherein adjusting, positioning, aligning, and calibrating the plurality of imaging devices comprises manually activating or initiating adjusting, positioning, aligning, and calibrating of the plurality of imaging devices (control system 115 can manipulate the pose of robot 105, e.g., based on analysis of image data from camera 110) [0039]. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use the control process, as disclosed by Liu, with the invention disclosed by Islam, the motivation being accuracy [0003]. Regarding claim 18-19, non-transitory computer readable storage medium claims 18-20 are drawn to the instructions corresponding to the method of claims 9 and 16. Therefore, non-transitory computer readable storage medium claims 18-19 correspond to method claims 9 and 16 and are rejected for the same reasons of unpatentability as used above. Claims 5, 6, 16, and 17 are rejected under 35 U.S.C. 103 as being unpatentable over Islam and Liu in view of Yi-Ping Hung “A Simple Real-Time Method for Calibrating a Camera Mounted on A Robot For Three Dimensional Machine Vision”, hereafter Hung. Regarding claim 5, Islam, Liu, and Rowell address all of the features with respect to claim 1 as outlined above. However, the combination fails to disclose the processor continuously aligns and calibrates the control system according to defined conditions. Hung, in an analogous environment, discloses the processor continuously aligns and calibrates the control system according to defined conditions (off-line stage…using observations of the calibration objects directly as described in section III.A…calibrate the robot as accurately as possible) [section IV]. Islam and Liu and Hung are analogous because they are both related to calibrating a camera mounted on a robot. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use offline calibration, as disclosed by Hung, with the invention disclosed by Islam and Liu, the motivation being improving calibration accuracy [section I]. Regarding claim 6, Islam and Liu and Hung address all of the features with respect to claim 5 as outlined above. Liu further discloses the defined conditions include when the system is not recording any images (off-line stage…using observations of the calibration objects directly as described in section III.A…calibrate the robot as accurately as possible) [section IV]. Claims 16 and 17 are drawn to a method implemented by the control system of claims 5 and 6, and are therefore rejected in the same manner as above. Claim 7 is rejected under 35 U.S.C. 103 as being unpatentable over Islam and Liu in view of De Villiers et al. US 9,330,463 B2, hereafter De Villiers. Regarding claim 7, Islam, Liu, and Rowell address all of the features with respect to claim 1 as outlined above. However, the combination fails to explicitly disclose wherein the motorized device mounts include one of (1) Brushless DC Motor (BLDC) or (2) Synchronous Servo Motor (SSVM). De Villiers, in an analogous environment, discloses wherein the motorized device mounts include one of (1) Brushless DC Motor (BLDC) or (2) Synchronous Servo Motor (SSVM) (the mechanical actuator 18 is movable by servo motors) [column 3, lines 36-38]. Islam and Liu and De Villiers are analogous because they are both related to calibrating cameras on robot arms. Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to use the servo motor, as disclosed by De Villiers, with the invention disclosed by Islam and Liu, to obtain the predictable result of using various types of motors in the robot arms. Conclusion THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to STEFAN GADOMSKI whose telephone number is (571)270-5701. The examiner can normally be reached Monday - Friday, 12-8PM EST. 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, Jay Patel can be reached at 571-272-2988. 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. STEFAN GADOMSKI Primary Examiner Art Unit 2485 /STEFAN GADOMSKI/Primary Examiner, Art Unit 2485
Read full office action

Prosecution Timeline

Show 12 earlier events
Feb 26, 2025
Response Filed
Jun 04, 2025
Final Rejection mailed — §103
Aug 14, 2025
Response after Non-Final Action
Sep 04, 2025
Request for Continued Examination
Sep 16, 2025
Response after Non-Final Action
Mar 02, 2026
Non-Final Rejection mailed — §103
Apr 24, 2026
Response Filed
Jul 17, 2026
Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12701264
METHOD FOR PARAMETER SET REFERENCE CONSTRAINTS IN CODED VIDEO STREAM
3y 3m to grant Granted Aug 04, 2026
Patent 12701201
ELECTRO-OPTICAL OBSERVATION SYSTEM FOR HUNTING
2y 8m to grant Granted Aug 04, 2026
Patent 12695990
EYE TRACKING VALIDATION USING ROBOT EYE SYSTEM
2y 9m to grant Granted Jul 28, 2026
Patent 12694773
EVENT DETECTION, EVENT NOTIFICATION, DATA RETRIEVAL, AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS
2y 8m to grant Granted Jul 28, 2026
Patent 12688765
EVENT DETECTION, EVENT NOTIFICATION, DATA RETRIEVAL, AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS
2y 2m to grant Granted Jul 21, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

9-10
Expected OA Rounds
77%
Grant Probability
84%
With Interview (+7.1%)
2y 7m (~0m remaining)
Median Time to Grant
High
PTA Risk
Based on 423 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month