Prosecution Insights
Last updated: October 23, 2026
Application No. 19/217,137

DYNAMIC ADJUSTMENT OF EXPOSURE AND ISO TO LIMIT MOTION BLUR

Non-Final OA §DP
Filed
May 23, 2025
Priority
May 18, 2021 — provisional 63/190,106 +2 more
Examiner
BHUIYAN, FAYEZ A
Art Unit
2638
Tech Center
2600 — Communications
Assignee
Snap Inc.
OA Round
1 (Non-Final)
84%
Grant Probability
Favorable
1-2
OA Rounds
11m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allowance Rate
482 granted / 573 resolved
+22.1% vs TC avg
Moderate +12% lift
Without
With
+12.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 4m
Avg Prosecution
10 currently pending
Career history
582
Total Applications
across all art units

Statute-Specific Performance

§101
3.1%
-36.9% vs TC avg
§103
40.1%
+0.1% vs TC avg
§102
42.4%
+2.4% vs TC avg
§112
5.5%
-34.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 573 resolved cases

Office Action

§DP
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 . Information Disclosure Statement The information disclosure statement (IDS) submitted on 07/28/2026, 01/14/2026 and 10/01/2025 were compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner. Double Patenting The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory obviousness-type double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on a nonstatutory double patenting ground provided the conflicting application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. A terminal disclaimer signed by the assignee must fully comply with 37 CFR 3.73(b). Application No. 19/217137, Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-20 of application no. 12342075 B2 (18/233729). Although the conflicting claims are not identical, they are not patentably distinct from each other because all the limitation of Claims 1-20 of 19/217137 application is anticipated by the claims 1-20 of application no. 12342075 B2 (18/233729). Claims 1-20 of 19/217137 are therefore not patentably distinct from the patented applications 12342075 B2 (18/233729), and unpatentable for obvious-type double patenting. Instant Application No.19/217137 Patent NO. US 12342075 B2 (18/233729) 1. A method for limiting motion blur in a visual tracking system comprising: accessing a first image generated by an optical sensor of the visual tracking system; identifying camera operating parameters of the optical sensor for the first image; determining a motion of the optical sensor for the first image; determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor; detecting that the motion blur level of the first image is within a motion blur threshold; and in response to detecting that the motion blur level of the first image is within the motion blur threshold, adjusting the camera operating parameters by increasing an exposure time of the optical sensor and decreasing an ISO value of the optical sensor. 1. A method comprising: accessing a first image generated by an optical sensor of a visual tracking system; identifying camera operating parameters of the optical sensor for the first image; determining, using the visual tracking system, a motion of the optical sensor for the first image; determining a motion blur level of the first image based only on the camera operating parameters of the optical sensor and the motion of the optical sensor; detecting that the motion blur level of the first image exceeds a motion blur threshold; and in response to detecting that the motion blur level of the first image exceeds the motion blur threshold, adjusting an exposure time of the optical sensor and an ISO value of the optical sensor based on the motion blur level of the first image. 2. The method of claim 1, wherein determining the motion of the optical sensor comprises: retrieving inertial sensor data from an inertial sensor of the visual tracking system, the inertial sensor data corresponding to the first image; and determining an angular velocity of the visual tracking system based on the inertial sensor data, wherein the motion blur level is further based on the angular velocity of the visual tracking system without analyzing a content of the first image. 2. The method of claim 1, wherein determining the motion of the optical sensor comprises: retrieving inertial sensor data from an inertial sensor of the visual tracking system, the inertial sensor data corresponding to the first image; and determining an angular velocity of the visual tracking system based on the inertial sensor data, wherein the motion blur level is further based on the angular velocity of the visual tracking system without analyzing a content of the first image. 3. The method of claim 1, wherein determining the motion of the optical sensor comprises: accessing VIO data from a VIO system of the visual tracking system, the VIO data comprising an estimated angular velocity of the optical sensor, an estimated linear velocity of the optical sensor, and locations of feature points in the first image, and wherein the motion blur level is based on the camera operating parameters and the VIO data without analyzing a content of the first image, wherein the motion blur in different areas of the first image is based on the estimated angular velocity, the estimated linear velocity of the optical sensor, and the locations of 3D feature points in corresponding different areas of the first image with respect to the optical sensor. 3. The method of claim 1, wherein determining, using the visual tracking system, the motion of the optical sensor for the first image comprises: accessing VIO data from the visual tracking system, the VIO data comprising an estimated angular velocity of the optical sensor, an estimated linear velocity of the optical sensor, and locations of feature points in the first image, wherein the motion blur in different areas of the first image is based on the estimated angular velocity, the estimated linear velocity of the optical sensor, and the locations of 3D feature points in corresponding different areas of the first image with respect to the optical sensor. 4. The method of claim 2, further comprising: sampling the angular velocity of the visual tracking system based on the inertial sensor data during the exposure time of the first image, wherein the motion blur level in the first image is determined based on the sampled angular velocity of the visual tracking system and the camera operating parameters. 4. The method of claim 2, further comprising: sampling the angular velocity of the visual tracking system based on the inertial sensor data during an exposure time of the first image, wherein the motion blur level in the first image is determined based on the sampled angular velocity of the visual tracking system and the camera operating parameters. 5. The method of claim 2, further comprising: identifying a maximum angular velocity of the visual tracking system based on the inertial sensor data during the exposure time of the first image, wherein the motion blur level in the first image is determined based on the maximum angular velocity of the visual tracking system and the camera operating parameters. 5. The method of claim 2, further comprising: identifying a maximum angular velocity of the visual tracking system based on the inertial sensor data during an exposure time of the first image, wherein the motion blur level in the first image is determined based on the maximum angular velocity of the visual tracking system and the camera operating parameters. 6. The method of claim 1, wherein the camera operating parameters comprise a combination of the exposure time of the optical sensor, a field of view of the optical sensor, the ISO value of the optical sensor, and an image resolution. 6. The method of claim 1, wherein the camera operating parameters comprise a combination of the exposure time of the optical sensor, a field of view of the optical sensor, the ISO value of the optical sensor, and an image resolution. 7. The method of claim 6, further comprising: detecting that the motion blur level of the first image exceeds the motion blur threshold; and in response to detecting that the motion blur level of the first image exceeds the motion blur threshold, decreasing the exposure time of the optical sensor and increasing the ISO value of the optical sensor. 7. The method of claim 1, wherein adjusting the exposure time of the optical sensor and the ISO value of the optical sensor based on the motion blur level of the first image comprises: decreasing the exposure time of the optical sensor and increasing the ISO value of the optical sensor. 8. The method of claim 7, further comprising: detecting that the increased ISO value exceeds a predefined maximum ISO value; and in response to detecting that the increased ISO value exceeds the predefined maximum ISO value, adjusting the increased ISO value to the predefined maximum ISO value. 8. The method of claim 7, further comprising: detecting that the increased ISO value exceeds a predefined maximum ISO value; and in response to detecting that the increased ISO value exceeds the predefined maximum ISO value, adjusting the increased ISO value to the predefined maximum ISO value. 9. The method of claim 1, further comprising: accessing a second image generated by the optical sensor that is operating with the adjusted camera operating parameters; and identifying a feature in the second image. 9. The method of claim 6, further comprising: detecting that the motion blur level of the first image is within the motion blur threshold; and in response to detecting that the motion blur level of the first image is within the motion blur threshold, increasing the exposure time of the optical sensor and decreasing the ISO value of the optical sensor. 10. The method of claim 1, further comprising: accessing a second image generated by the optical sensor that is operating with the increased exposure time and decreased the ISO value; and identifying a pose of the optical sensor corresponding to the second image and a feature in the second image. 10. The method of claim 1, further comprising: accessing a second image generated by the optical sensor that is operating with the adjusted camera operating parameters; and identifying a feature in the second image. 11. A visual tracking system comprising: an optical sensor; a processor; and a memory storing instructions that, when executed by the processor, configure the visual tracking system to perform operations comprising: accessing a first image generated by the optical sensor; identifying camera operating parameters of the optical sensor for the first image; determining a motion of the optical sensor for the first image; determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor; detecting that the motion blur level of the first image is within a motion blur threshold; and in response to detecting that the motion blur level of the first image is within the motion blur threshold, adjusting the camera operating parameters by increasing an exposure time of the optical sensor and decreasing an ISO value of the optical sensor. 11. A computing apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, configure the apparatus to perform operations comprising: accessing a first image generated by an optical sensor of a visual tracking system; identifying camera operating parameters of the optical sensor for the first image; determining, using the visual tracking system, a motion of the optical sensor for the first image; determining a motion blur level of the first image based only on the camera operating parameters of the optical sensor and the motion of the optical sensor; detecting that the motion blur level of the first image exceeds a motion blur threshold; and in response to detecting that the motion blur level of the first image exceeds the motion blur threshold, adjusting an exposure time of the optical sensor and an ISO value of the optical sensor based on the motion blur level of the first image. 12. The visual tracking system of claim 11, wherein determining the motion of the optical sensor comprises: retrieving inertial sensor data from an inertial sensor of the visual tracking system, the inertial sensor data corresponding to the first image; and determining an angular velocity of the visual tracking system based on the inertial sensor data, wherein the motion blur level is further based on the angular velocity of the visual tracking system without analyzing a content of the first image. 12. The computing apparatus of claim 11, wherein determining the motion of the optical sensor comprises: retrieving inertial sensor data from an inertial sensor of the visual tracking system, the inertial sensor data corresponding to the first image; and determining an angular velocity of the visual tracking system based on the inertial sensor data, wherein the motion blur level is further based on the angular velocity of the visual tracking system without analyzing a content of the first image. 13. The visual tracking system of claim 11, wherein determining the motion of the optical sensor comprises: accessing VIO data from a VIO system of the visual tracking system, the VIO data comprising an estimated angular velocity of the optical sensor, an estimated linear velocity of the optical sensor, and locations of feature points in the first image, and wherein the motion blur level is based on the camera operating parameters and the VIO data without analyzing a content of the first image, wherein the motion blur in different areas of the first image is based on the estimated angular velocity, the estimated linear velocity of the optical sensor, and the locations of 3D feature points in corresponding different areas of the first image with respect to the optical sensor. 13. The computing apparatus of claim 11, wherein determining, using the visual tracking system, the motion of the optical sensor for the first image comprises: accessing VIO data from the visual tracking system, the VIO data comprising an estimated angular velocity of the optical sensor, an estimated linear velocity of the optical sensor, and locations of feature points in the first image, wherein the motion blur in different areas of the first image is based on the estimated angular velocity, the estimated linear velocity of the optical sensor, and the locations of 3D feature points in corresponding different areas of the first image with respect to the optical sensor. 14. The visual tracking system of claim 12, wherein the operations further comprise: sampling the angular velocity of the visual tracking system based on the inertial sensor data during the exposure time of the first image, wherein the motion blur level in the first image is determined based on the sampled angular velocity of the visual tracking system and the camera operating parameters. 14. The computing apparatus of claim 12, wherein the operations further comprise: sampling the angular velocity of the visual tracking system based on the inertial sensor data during an exposure time of the first image, wherein the motion blur level in the first image is determined based on the sampled angular velocity of the visual tracking system and the camera operating parameters. 15. The visual tracking system of claim 12, wherein the operations further comprise: identifying a maximum angular velocity of the visual tracking system based on the inertial sensor data during the exposure time of the first image, wherein the motion blur level in the first image is determined based on the maximum angular velocity of the visual tracking system and the camera operating parameters. 15. The computing apparatus of claim 12, wherein the operations further comprise: identifying a maximum angular velocity of the visual tracking system based on the inertial sensor data during an exposure time of the first image, wherein the motion blur level in the first image is determined based on the maximum angular velocity of the visual tracking system and the camera operating parameters. 16. The visual tracking system of claim 11, wherein the camera operating parameters comprise a combination of the exposure time of the optical sensor, a field of view of the optical sensor, the ISO value of the optical sensor, and an image resolution. 16. The computing apparatus of claim 11, wherein the camera operating parameters comprise a combination of the exposure time of the optical sensor, a field of view of the optical sensor, the ISO value of the optical sensor, and an image resolution. 17. The visual tracking system of claim 16, wherein the operations further comprise: detecting that the motion blur level of the first image exceeds the motion blur threshold; and in response to detecting that the motion blur level of the first image exceeds the motion blur threshold, decreasing the exposure time of the optical sensor and increasing the ISO value of the optical sensor. 17. The computing apparatus of claim 11, wherein adjusting the exposure time of the optical sensor and the ISO value of the optical sensor based on the motion blur level of the first image comprises: decreasing the exposure time of the optical sensor and increasing the ISO value of the optical sensor. 18. The visual tracking system of claim 17, wherein the operations further comprise: detecting that the increased ISO value exceeds a predefined maximum ISO value; and in response to detecting that the increased ISO value exceeds the predefined maximum ISO value, adjusting the increased ISO value to the predefined maximum ISO value. 18. The computing apparatus of claim 7, wherein the operations further comprise: detecting that the increased ISO value exceeds a predefined maximum ISO value; and in response to detecting that the increased ISO value exceeds the predefined maximum ISO value, adjusting the increased ISO value to the predefined maximum ISO value. 19. The visual tracking system of claim 11, wherein the operations further comprise: accessing a second image generated by the optical sensor that is operating with the adjusted camera operating parameters; and identifying a feature in the second image. 19. The computing apparatus of claim 16, wherein the operations further comprise: detecting that the motion blur level of the first image is within the motion blur threshold; and in response to detecting that the motion blur level of the first image is within the motion blur threshold, increasing the exposure time of the optical sensor and decreasing the ISO value of the optical sensor. 20. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform operations comprising: access a first image generated by an optical sensor of a visual tracking system; identify camera operating parameters of the optical sensor for the first image; determine a motion of the optical sensor for the first image; determine a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor; and adjust the camera operating parameters of the optical sensor based on the motion blur level. 20. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform operations comprising: accessing a first image generated by an optical sensor of a visual tracking system; identifying camera operating parameters of the optical sensor for the first image; determining, using the visual tracking system, a motion of the optical sensor for the first image; determining a motion blur level of the first image based only on the camera operating parameters of the optical sensor and the motion of the optical sensor; detecting that the motion blur level of the first image exceeds a motion blur threshold; and in response to detecting that the motion blur level of the first image exceeds the motion blur threshold, adjusting an exposure time of the optical sensor and an ISO value of the optical sensor based on the motion blur level of the first image. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Fayez Bhuiyan whose telephone number is 571-270-1562. The examiner can normally be reached on Monday to Thursday (9am-4pm). If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Lin Ye can be reached on 571-272-7372. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /FAYEZ BHUIYAN/ Examiner, Art Unit 2639 /LIN YE/Supervisory Patent Examiner, Art Unit 2638
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Prosecution Timeline

May 23, 2025
Application Filed
Sep 28, 2026
Non-Final Rejection mailed — §DP (current)

Precedent Cases

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Prosecution Projections

1-2
Expected OA Rounds
84%
Grant Probability
96%
With Interview (+12.1%)
2y 4m (~11m remaining)
Median Time to Grant
Low
PTA Risk
Based on 573 resolved cases by this examiner. Grant probability derived from career allowance rate.

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