Prosecution Insights
Last updated: July 17, 2026
Application No. 18/688,622

VISION-BASED SPORTS TIMING AND IDENTIFICATION SYSTEM

Final Rejection §103§112
Filed
Mar 01, 2024
Priority
Sep 06, 2021 — NL 2029136 +1 more
Examiner
SCHWARTZ, RAPHAEL M
Art Unit
2671
Tech Center
2600 — Communications
Assignee
Mylaps B V
OA Round
2 (Final)
67%
Grant Probability
Favorable
3-4
OA Rounds
7m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 67% — above average
67%
Career Allowance Rate
229 granted / 341 resolved
+5.2% vs TC avg
Strong +31% interview lift
Without
With
+30.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
21 currently pending
Career history
368
Total Applications
across all art units

Statute-Specific Performance

§101
0.2%
-39.8% vs TC avg
§103
93.6%
+53.6% vs TC avg
§102
1.6%
-38.4% vs TC avg
§112
2.4%
-37.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 341 resolved cases

Office Action

§103 §112
DETAILED ACTION Response to Amendment Applicant’s response to the last Office Action, filed on 5/8/2026 has been entered and made of record. Applicant’s amendments necessitated the new ground of rejection set forth herein; therefore, this action is made Final. Response to Arguments Applicant's arguments filed on 5/8/2026 have been fully considered but they are not persuasive. In response the newly amended claims Examiner has added the Reese (“Database Programming with JDBC and Java”) reference to the combination under 35 USC 103. See detailed analysis below. Druihle teaches that the first image information is transmitted to the database system in response to the first object not being identified by the first timing system. (¶ 0063 teaches in response to the first object not being identified, transmitting the visual signature to the name retrieval means connected to the database, in order to lookup the identity of the runner.) In the field of database computing architectures Reese teaches that the information is transmitted to the server system in response. (Reese Chapter 7 teaches Distributed Application Architecture pg. 133 teaches client-server architectures in which data is transmitted from a client computer to an application server to perform data processing at the server connected to a database. Also see pg. 129.) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have combined Druihle’s computer-based sports imaging system with Reese’s client-server system. The combination constitutes the repeatable and predictable result of simply applying Reese’s teaching here of transmitting data from a client computer to an application server to perform data processing at the server. Simply using a server in computing is well-known and widely-used and cannot be considered a non-obvious improvement in view of the relevant prior art here. Using known engineering design, no “fundamental” operating principle of the teachings are changed; they continue to perform the same functions as originally taught prior to being combined. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 15 is rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. The claim recites “the virtual timing line” without any prior antecedent basis. 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. Claim(s) 1-13, 15, 16 and 18-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Druihle (US PGPub 2021/0034877) in view of Reese (“Database Programming with JDBC and Java”) Regarding claim 1, Druihle discloses a method for timing and identifying objects participating in a sports event comprising: (Druihle teaches a system for imaging runners at multiple positions along a track in order to identify their bib numbers or, if not legible in the image, identify their visual signatures in order to correlate to other images with visible bib numbers.) receiving by a computer system, a first image information associated with one or more first images captured by a first camera system of a first timing system located at a first position along a sports track, the one or more first images comprising objects associated with a visual identification marker or identification code participating in the sports event passing a virtual timing line, the first image information comprising visual information of at least a first object for which a passing time is determined based on the one or more first images but which cannot be identified based on the one or more first images; (¶ 0059 teaches identifying runners by their visual signatures which is used when the bib numbers/worn numbers are not able to be identified. ¶ 0063 teaches the process of using the visual signature when the bib number cannot be reliably identified. ¶ 0064 teaches that this happens at the finish line of the race. See computer at ¶ 0044 and 0046) receiving or retrieving by the computer system, second image information associated with one or more second images captured by a second camera system located at a different position than the first position, the one or more second images comprising objects participating in the sports event, the second image information comprising visual information about one or more objects that can be identified based on the one or more second images; and, (¶ 0052 and 0088 teaches detecting and recognizing the bib numbers/worn numbers on the runners. See Fig. 1 and ¶ 0043 for teaching that this happens at a second location.) identifying by the computer system, the first object, wherein the identifying includes: using the first image information and second image information to determine a second object captured by the second camera system that is associated a visual identification marker or code in the one or more second images that matches the first object, the determining being based on first non-biometric object features associated with the first object and second non-biometric object features associated with the second object; and, when the second object is determined, identifying the first object by assigning to the first object identification information obtained from based on the visual identification marker or code of the second object. (¶ 0089 teaches associating the identifier of the runner via the visual signature based on the previous detection of the bib number/worn number. ¶ 0063 teaches performing the visual signature identification from the runner object in the image to the matching object (reference visual signature) in the previous image via a Euclidian distance or the like. ¶ 0059 teaches that the visual signature is not using face/biometric information but rather their overall appearance like clothing.) wherein the first image information is transmitted to the database system in response to the first object not being identified by the first timing system. (¶ 0063 teaches in response to the first object not being identified, transmitting the visual signature to the name retrieval means connected to the database, in order to lookup the identity of the runner.) In the field of database computing architectures Reese teaches that the information is transmitted to the server system in response. (Reese Chapter 7 teaches Distributed Application Architecture pg. 133 teaches client-server architectures in which data is transmitted from a client computer to an application server to perform data processing at the server connected to a database. Also see pg. 129.) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have combined Druihle’s computer-based sports imaging system with Reese’s client-server system. The combination constitutes the repeatable and predictable result of simply applying Reese’s teaching here of transmitting data from a client computer to an application server to perform data processing at the server. Simply using a server in computing is well-known and widely-used and cannot be considered a non-obvious improvement in view of the relevant prior art here. Using known engineering design, no “fundamental” operating principle of the teachings are changed; they continue to perform the same functions as originally taught prior to being combined. Regarding claim 2, the above combination discloses the method according to claim 1 wherein the first image information comprises at least part of one of the one or more first images comprising the first object or at least one picture of a first region of interest (ROI) in one of the one or more first images, the first ROI comprising at least part of the first object. (¶ 0074 and Fig. 5) Regarding claim 3, the above combination discloses the method according to claim 2 wherein the first image information further comprises timing information indicative of a time instance the first object passes the virtual timing line, depth information indicative of a distance between the first camera system and the first object; and/or an identifier associated with the first ROI. (See ¶ 0066 timing information indicative of a time instance the first object passes the virtual timing line.) Regarding claim 4, the above combination discloses the method according to claim 1 wherein the determining a second object in the one or more second images uses a re-identification algorithm, the re-identification algorithm comparing the first object with the objects in the one or more second images based on object features. (As above ¶ 0089 teaches associating the identifier of the runner via the visual signature based on the previous detection of the bib number/worn number. ¶ 0063 teaches performing the visual signature identification from the runner object in the image to the matching object (reference visual signature) in the previous image via a Euclidian distance or the like.) Regarding claim 5, the above combination discloses the method according to claim 1 wherein the determining a second object in the one or more second images includes: determining one or more first object features associated with the first object; determining one or more second object features associated with objects in the one or more second images; and, determining when one of the objects in the one or more second images matches the first object in the one or more first images based on the one or more first and second object features. (As above ¶ 0089 teaches associating the identifier of the runner via the visual signature based on the previous detection of the bib number/worn number. ¶ 0063 teaches performing the visual signature identification from the runner object in the image to the matching object (reference visual signature) in the previous image via a Euclidian distance or the like.) Regarding claim 6, the above combination discloses the method according to claim 4 wherein the matching is based on a distance measure that is computed based on the first and second object features, the distance measure being indicative of a similarity between the first object and an object in the one or more second images. (As above ¶ 0063 teaches performing the visual signature identification from the runner object in the image to the matching object (reference visual signature) in the previous image via a Euclidian distance or the like.) Regarding claim 7, the above combination discloses the method according to claim 4 wherein objects in the one or more first and second images represent persons participating in the sports event and wherein the first and second object features define features of a person. (See rejection of claim 1) Regarding claim 8, the above combination discloses the method according to claim 3 wherein the identification of the first object further includes; searching for a visual identification marker or a visual identification code based on visual information of the second object; and, (¶ 0052 and 0088 teach detecting and recognizing the bib numbers/worn numbers on the runners.) when a visual identification marker or visual identification code is found, transforming the identification marker or identification code into identification information for linking the second object to an identity; and, associating the first object with the identification information; and, (¶ 0088 and 0061) storing the identification information and the timing information of the first object in a database. (¶ 0057, 0062, 0063 and 0041.) Regarding claim 9, the above combination discloses the method according to claim 3 wherein the second image information includes identification information associated with the one or more second images; and, (¶ 0088 and 0061) wherein the identification of the first object further includes; associating the first object with the identification information; and, storing the identification information and the timing information of the first object in a database. (¶ 0057, 0062, 0063 and 0041.) Regarding claim 10, the above combination discloses the method according to claim 1 further comprising: receiving timing information and identification information associated with objects in the one or more first images that have been detected, timed and identified by the first timing system based on the one or more first images. (¶ 0045, 0062, 0063 and 0041.) Regarding claim 11, the above combination discloses the method according to claim 1 wherein the second camera system includes a processor that is configured to determine visual information about one or more objects that are identified based on the one or more second images. (See rejection of claim 1). Regarding claim 12, the above combination discloses the method according to claim 1, wherein the second camera system is part of a second timing system configured to determine passing times of objects participating in the sports event passing a virtual timing line. (See rejection of claim 1). Regarding claim 13, the above combination discloses the method according to claim 1 wherein the first image information includes an image frame comprising the detected non-identified object or a ROI picture comprising the detected non-identified object that is cropped out of an image frame. (¶ 0049.) Claim 15 is the system claim corresponding to the method of claim 1. ¶ 0043-0044 teaches the camera and computer systems. Remaining limitations are rejected similarly. See detailed analysis above. Regarding claim 16, the above combination discloses the system according to claim 15, wherein the first timing system and the one or more second camera systems are configured to wirelessly communicate with the server system. (See ¶ 0044 and 0046) Regarding claim 18, the above combination discloses the system according to claim 16, wherein the first timing system and the one or more second camera systems forming a communications network. (See ¶ 0044 and 0046.) Regarding claim 19, the above combination discloses the method according to claim 13 wherein a time stamp indicates a passing time of the detected non-identified object. (See ¶ 0041 and 0045.) Regarding claim 20, the above combination discloses the method according to claim 4 wherein objects in the one or more first and second images represent vehicles participating in the sports event and wherein the first and second object features define features of a vehicle. (¶ 0002) Claim(s) 14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Guerra (US Pat. No. 6,433,817) in view of Druihle (US PGPub 2021/0034877) Regarding claim 14, the above combination discloses the system for timing and identifying objects participating in a sports event comprising: (Guerra discloses a depth-based IR laser range finder for determining a winner at the finish line of a running race, see Abstract) a camera system configured to capture images of a scene comprising objects on a sport track passing a virtual timing line at a first location along a race track; and, (Col. 3, ¶ 1 a CCD camera imager set up at a race finish line) a computer connected to the camera system wherein the computer is configured to: (Col. 4. ¶ 2) detect objects associated with a visual identification marker or identification code in the images captured by the camera system; (Col. 3, ¶ 1, “the invention is an infra-red light detector, having an infra-red charge coupled device (IR CCD) circuit 17, and a visible light sensor 19”) determine depth information associated with images, the depth information defining a relative distance between the camera system and detected objects; (Col. 4, ¶ 4) determine passing times at which detected objects pass the virtual timing line based on a time instance and the depth information; (Col. 4, second paragraph from bottom and paragraph spanning cols. 4 and 5.) when an object cannot be identified based on the images, generating image information, the image information comprising visual information of a non-identified object that cannot be identified; and, (Col. 5, ¶ 2) In the field of running race image analysis Druihle teaches identifying detected objects based on a visual identification marker or identification code in the images; and, (Druihle teaches a system for imaging runners at multiple positions along a track in order to identify their bib numbers or, if not legible in the image, identify their visual signatures in order to correlate to other images with visible bib numbers, see Abstract and rejection of claim 1.) receive second image information associated with one or more further images captured by a further camera system located at a different position than the first position, the further images comprising objects associated with a visual identification marker or identification code participating in the sports event; detect, based on the image information and the second image information, a second object in the further images that matches the non-identified object; and, identify the non-identified object by assigning the non-identified object identification information obtained from the visual identification marker or identification code of the second object. (Druihle ¶ 0089 teaches associating the identifier of the runner via the visual signature based on the previous detection of the bib number/worn number. ¶ 0063 teaches performing the visual signature identification from the runner object in the image to the matching object (reference visual signature) in the previous image at a different location. ¶ 0063 also teaches in response to the first object not being identified, transmitting the visual signature to the name retrieval means connected to the database, in order to lookup the identity of the runner. See the combination with Reese in the rejection of claim 1 regarding transmission to a server for data processing.) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have combined Guerra’s running race image analysis with Druihle’s running race image analysis. Guerra teaches a depth-based system for running race finish line detection and timing. Druihle teaches a system for imaging runners at the finish line and earlier positions along a track in order to identify their bib numbers or, if not legible in the image, identify their visual signatures in order to correlate to other images with visible bib numbers. The express purpose here is to identify runners which may not be otherwise identifiable in every image. The combination constitutes the repeatable and predictable result of simply applying Druihle’s technique to be used in the way in which it was intended. This cannot be considered a non-obvious improvement in view of the relevant prior art here. Using known engineering design, no “fundamental” operating principle of the teachings are changed; they continue to perform the same functions as originally taught prior to being combined. Conclusion Based on these facts, 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 extension fee 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. Contact Information Any inquiry concerning this communication or earlier communications from the examiner should be directed to Raphael Schwartz whose telephone number is (571)270-3822. The examiner can normally be reached Monday to Friday 9am-5pm CT. 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, Vincent Rudolph can be reached at (571) 272-8243. 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. /RAPHAEL SCHWARTZ/ Examiner, Art Unit 2671
Read full office action

Prosecution Timeline

Mar 01, 2024
Application Filed
Jan 12, 2026
Non-Final Rejection mailed — §103, §112
May 08, 2026
Response Filed
Jun 15, 2026
Final Rejection mailed — §103, §112 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12642177
KERNEL-LEVEL GRAIN MONITORING SYSTEMS FOR COMBINE HARVESTERS
1y 10m to grant Granted Jun 02, 2026
Patent 12639922
BREAST ULTRASOUND DIAGNOSIS METHOD AND SYSTEM USING WEAKLY SUPERVISED DEEP-LEARNING ARTIFICIAL INTELLIGENCE
2y 9m to grant Granted May 26, 2026
Patent 12639801
METHOD FOR DETERMINING A POSITION OF A CORNER REGION OF AN ELECTRODE ASSEMBLY STACK
2y 4m to grant Granted May 26, 2026
Patent 12635962
Method And Apparatus For Reconstructing Image Projections
2y 1m to grant Granted May 26, 2026
Patent 12629561
APPARATUS AND METHOD FOR COUNTING REPETITIVE MOVEMENT BASED ON ARTIFICIAL INTELLIGENCE
2y 3m to grant Granted May 19, 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

3-4
Expected OA Rounds
67%
Grant Probability
98%
With Interview (+30.8%)
2y 11m (~7m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 341 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