Prosecution Insights
Last updated: April 19, 2026
Application No. 18/431,975

CONVENTION WAYFINDING SYSTEM

Non-Final OA §103
Filed
Feb 03, 2024
Examiner
MAKHDOOM, SAMARINA
Art Unit
3648
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Phunware Inc.
OA Round
1 (Non-Final)
70%
Grant Probability
Favorable
1-2
OA Rounds
3y 1m
To Grant
97%
With Interview

Examiner Intelligence

Grants 70% — above average
70%
Career Allow Rate
71 granted / 101 resolved
+18.3% vs TC avg
Strong +27% interview lift
Without
With
+26.6%
Interview Lift
resolved cases with interview
Typical timeline
3y 1m
Avg Prosecution
77 currently pending
Career history
178
Total Applications
across all art units

Statute-Specific Performance

§101
2.7%
-37.3% vs TC avg
§103
75.1%
+35.1% vs TC avg
§102
21.4%
-18.6% vs TC avg
§112
0.8%
-39.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 101 resolved cases

Office Action

§103
DETAILED ACTION This action is in response to the initial filing filed on February 3, 2024 Claims 1-20 havebeen examined in this application. 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 1-6 and 8-20 are rejected under 35 U.S.C. 103 as being unpatentable over Namboodiri et al (US 2019/0072395 A1) in view of Pasricha et al (US 2021/0092611 A1). Regarding Claim 1, Namboodiri teaches reconfigurable environment wayfinding system comprising [0005 for way finding for conventions (reconfigurable environment)]: a beacon detector mobile device capable of being moved within a reconfigurable environment that is provided with a plurality of beacons [0004 for using Bluetooth beacons and 0011], wherein the beacon detector mobile device is receptive to beacon transmissions of the plurality of beacons and is operative to develop fixed location at a plurality of fixed locations within the reconfigurable environment [0014 for determine beacon locations]; a mapping server receptive to the fixed location and to a configuration map of the reconfigurable environment and operative to develop a navigable pathways map for the reconfigurable environment [0014 for using iBeaconMap for recommending beacon locations based on floor plan (navigable pathways)]; and a user mobile device receptive to the beacon transmissions of the plurality of beacons and to the navigable pathways map and operative to provide wayfinding for the user within the reconfigurable environment [0013, 0031]. Namboodiri fails to explicitly teach using location fingerprints. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches using location fingerprints [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Regarding Claim 2, Namboodiri teaches the plurality of fixed locations are arranged in a grid pattern [figure 11 for having a grid pattern based on floor plan and 0034 for a connectivity graph (grid means)]. Regarding Claim 3, Namboodiri fails to explicitly teach the beacon detector mobile device calculates a fixed location fingerprint from beacon transmissions received at fixed locations on the grid pattern. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches the beacon detector mobile device calculates a fixed location fingerprint from beacon transmissions received at fixed locations on the grid pattern [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Regarding Claim 4, Namboodiri fails to explicitly teach the beacon detector mobile device calculates a fixed location fingerprint by ranking beacon transmissions by respective Received Signal Strength Indicator (RSSI) measurements. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches the beacon detector mobile device calculates a fixed location fingerprint by ranking beacon transmissions by respective Received Signal Strength Indicator (RSSI) measurements [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Regarding Claim 5, Namboodiri fails to explicitly teach the fixed location fingerprints are calculated using a subset of the received beacon transmissions at the fixed location that have the highest RSSI measurements. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches the fixed location fingerprints are calculated using a subset of the received beacon transmissions at the fixed location that have the highest RSSI measurements [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Regarding Claim 6, Namboodiri teaches each beacon transmission includes a beacon ID [0034 for having beacon ID information location, weights, orientations]. Regarding Claim 8, Namboodiri teaches the grid pattern of locations are arranged as an X-Y array [figure 11 for having a grid pattern based on floor plan and 0034 for a connectivity graph (grid means) in 2D x-y pattern]. Regarding Claim 9, Namboodiri fails to explicitly teach the fixed location fingerprints are stored in a fixed location fingerprint database that can be accessed by the mapping server. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches the fixed location fingerprints are stored in a fixed location fingerprint database that can be accessed by the mapping server [0140]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to be relatively resilient to multipath reflections and shadowing for finger prints (Parischa, 0140). Regarding Claim 10, Namboodiri teaches the mapping server maps the configuration map of the reconfigurable environment to the X-Y array to develop a subset of the fixed location fingerprint database with inaccessible fixed locations disabled and with a plurality of accessible fixed locations designated as waypoints to provide the navigable pathways map [0038 for having disconnections like walls (inaccessible locations) and only activating walking path]. Regarding Claim 11, Namboodiri fails to explicitly teach the user mobile device is a smartphone provided with an app stores the navigable pathways map on the smartphone to facilitate offline wayfinding within the reconfigurable environment. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches the user mobile device is a smartphone provided with an app stores the navigable pathways map on the smartphone to facilitate offline wayfinding within the reconfigurable environment [0079, 0092, 0140]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to be relatively resilient to multipath reflections and shadowing for finger prints (Parischa, 0140). Regarding Claim 12, Namboodiri teaches the smartphone is receptive to beacon transmissions of the plurality of beacons and is operative to develop a current location fingerprint [0010-0011]. Regarding Claim 13, Namboodiri teaches the smartphone compares the current location fingerprint to the pathways map to determine a current location on the navigable pathways map [0038-0040]. Regarding Claim 14, Namboodiri teaches the smartphone provides wayfinding to a designated waypoint using the current location and the navigable pathways map [0038-0040]. Regarding Claim 15, Namboodiri teaches the smartphone includes one or more of a compass, a gyroscope, and a GPS module [0005, 0037]. Regarding Claim 16, Namboodiri teaches the current location fingerprint is calculated as a weighted average of the fixed location signature and one or more of a compass measurement, a gyroscope measurement, a GPS measurement and an accelerometer measurement by the user mobile device [0037]. Regarding Claim 17, Namboodiri teaches a computer implemented method for wayfinding in a reconfigurable environment comprising [0005 for way finding for conventions (reconfigurable environment)]: developing with a beacon detector mobile device having a processor and a memory [0004 for using Bluetooth beacons with smart phone (beacon detector) and 0011] a plurality of fixed location fingerprints derived from a plurality of beacon transmissions received at a plurality of fixed locations arranged in a grid pattern as an X-Y array within a reconfigurable environment [0004 for using Bluetooth beacons and 0011 with0032-0034 for getting a beacon connectivity graph (grid) with beacon distance market in feet]; developing with a mapping server having a microprocessor and a memory a navigable pathways map from the plurality of fixed location fingerprints and a configuration map of the reconfigurable environment [0029, 0032]; and displaying with a user mobile device having a processor and memory the navigable pathways map to provide wayfinding for a user within the reconfigurable environment [0013, 0031]. Namboodiri fails to explicitly teach using location fingerprints. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches using location fingerprints [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Regarding Claim 18, Namboodiri teaches the mapping server maps the configuration map of the reconfigurable environment to the X-Y array to develop a subset of the location fingerprint database with inaccessible locations disabled [0038 for having disconnections like walls (inaccessible locations) and only activating walking path]. Regarding Claim 19, Namboodiri teaches the user mobile device provides wayfinding to a designated waypoint using a current location fingerprint and the navigable pathways map [0004 for using Bluetooth beacons and 0011 with 0032-0034 for getting a beacon connectivity graph (grid) with beacon distance market in feet]. Regarding Claim 20, Namboodiri teaches computer readable media including code segments executable by a processor for [0005 for way finding for conventions (reconfigurable environment)]: developing a plurality of fixed location from a plurality of beacon transmissions received at a plurality of fixed locations arranged in a grid pattern as an X-Y array within a reconfigurable environment [0004 for using Bluetooth beacons and 0011 with0032-0034 for getting a beacon connectivity graph (grid) with beacon distance market in feet]; developing a navigable pathways map from the plurality of fixed location and a configuration map of the reconfigurable environment [0029, 0032]; and displaying the navigable pathways map to provide wayfinding for a user within the reconfigurable environment [0013, 0031]. Namboodiri fails to explicitly teach using location fingerprints. Pasricha has an exemplary radio fingerprint-based indoor localization method and system (abstract) and teaches using location fingerprints [0052 for using radio sources (beacons) to measure fingerprint data and 0066 for using RSSI for fingerprint signature]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the fingerprinting calculations as taught by Pasricha for the purpose to determine one or more radio sources for the location (Parischa, 0052). Claim 7 is rejected under 35 U.S.C. 103 as being unpatentable over Namboodiri et al (US 2019/0072395 A1) in view of Pasricha et al (US 2021/0092611 A1), as applied to Claim 1 above, and further in view of Lopatin et al (US 2020/0107164 A1). Regarding Claim 7, Namboodiri fails to explicitly teach a fixed location fingerprint includes a hash including a plurality of beacon IDs and associated RSSI measurements. Lopatin has methods to crowdsource the location of wireless devices and accessories that lack a connection to a wide area network (abstract) and teaches a fixed location fingerprint includes a hash including a plurality of beacon IDs and associated RSSI measurements [0046]. It would have been obvious to a person of ordinary skill in the art before the effective filling date of the applicant’s invention for modifying the beacon position techniques, as disclosed by Namboodiri, further including the hash calculations as taught by Lopatin for the purpose to locate user device (Lopatin, 0047). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Zhu et al (US 2022/0329988 A1) has an indoor navigation system comprises a modeling subsystem that processes multimodal data regarding a location. Any inquiry concerning this communication or earlier communications from the examiner should be directed to SAMARINA MAKHDOOM whose telephone number is (703)756-1044. The examiner can normally be reached Monday – Thursdays from 8:30 to 5:30 pm eastern time. 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, William Kelleher can be reached on 571-272-7753 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. /SAMARINA MAKHDOOM/ Examiner, Art Unit 3648
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Prosecution Timeline

Feb 03, 2024
Application Filed
Dec 10, 2025
Examiner Interview (Telephonic)
Dec 10, 2025
Examiner Interview Summary
Dec 15, 2025
Non-Final Rejection — §103 (current)

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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
70%
Grant Probability
97%
With Interview (+26.6%)
3y 1m
Median Time to Grant
Low
PTA Risk
Based on 101 resolved cases by this examiner. Grant probability derived from career allow rate.

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