Prosecution Insights
Last updated: August 17, 2026
Application No. 19/014,069

INFORMATION HANDLING SYSTEM WITH A SECURE CAMERA FUNCTION

Final Rejection §103
Filed
Jan 08, 2025
Examiner
ZHAO, DAQUAN
Art Unit
2484
Tech Center
2400 — Computer Networks
Assignee
Dell Products L.P.
OA Round
2 (Final)
77%
Grant Probability
Favorable
3-4
OA Rounds
1y 2m
Est. Remaining
92%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allowance Rate
806 granted / 1044 resolved
+19.2% vs TC avg
Moderate +14% lift
Without
With
+14.5%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
24 currently pending
Career history
1064
Total Applications
across all art units

Statute-Specific Performance

§101
11.7%
-28.3% vs TC avg
§103
46.8%
+6.8% vs TC avg
§102
18.5%
-21.5% vs TC avg
§112
13.1%
-26.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1044 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 Arguments Applicant's arguments filed 7/10/2026 have been fully considered but they are not persuasive. Applicant argue the prior arts do not disclose “dump the cached images located in the buffer at a time of the indication of the abnormal event…enhance the detected event video to create a good quality video based on the cached images dumped from the buffer”. The Examiner disagrees. Figure 2 and Paragraph 48 of Fiore et al teach: “The signal processor 10 also includes an event processor 16 that is adapted to extract data frames starting from a data frame that is a predetermined number of data frames before the external event time provided by the server 20 as described in further detail below, and ending a predetermined number of data frames after the external event time. The extracted data frames are then stored in file system 17 thereby providing a permanent record of the data frames before, during, and after the event prior to the data frames being overwritten in the circular storage buffer 15 by more recent data frames…the event processor 16 of the present embodiment is also adapted to mark the input signal data being stored in the circular storage buffer 15 when an event occurs to thereby flag the location of an occurrence of an external event in the circular storage buffer 15”. So Fiore teach when an event is detected, frames (of the events) stored in the circular buffer 15 are extracted and transferred to the file system 17 for permanent record. These teaching corresponds to the claimed “dump the cached images located in the buffer at a time of the indication of the abnormal event”. Gopinath also teaches, see paragraph 13: when some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhance quality parameters in the camera to improve video quality. It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to enhance quality of image based on the images from the buffer of Fiore since the images of the buffer are part of the event. 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, 4, 6-10, 13, 15-18 are rejected under 35 U.S.C. 103 as being unpatentable over Gopinath (US 2010/0283857) and further in view of Fiore et al (US 2002/0191952). For claim 1, Gopinath teaches an information handling system comprising: a camera to capture a plurality of images associated with the information handling system (e.g. figure 1, cameras 22…24); a vision processor to communicate with the camera (e.g. figure 1, paragraph 15: video processors 26…28); and the processor to: receive an indication of an abnormal event for the information handling system (e.g. paragraph 13: “The automatic change in video quality of the camera can be triggered in the case of detection of any of a number of different types of predetermined events (e.g., motion or activity in the FOV of the camera, detected camera sabotage, any I/O or network related event, alarms from algorithms running on the camera…”); enhance the detected event video to create a good quality video (e.g. paragraph 13: “When some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhanced quality parameters in the camera to improve the video quality for some time after the event. This time period can be user configurable (e.g., 30 seconds, 1 minute, 2 minutes etc). ”); and store the good quality video in a memory of the information handling system, wherein the good quality video provides information associated with the abnormal event (e.g. paragraphs 12, 17, figure 1: video is transmitted to the security system 16 or server). Gopinath also teaches, see paragraph 13: when some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhance quality parameters in the camera to improve video quality. It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to enhance quality of image based on the images from the buffer since the images of the buffer are part of the event (e.g. the teaching of Fiore et al below shows that some of the event images are stored in the circular buffer). Gopinath does not further disclose a processor to communicate with the vision processor; based on the indication of the abnormal event, dump the cached images located in the buffer at a time of the indication of the abnormal event create a detected event video based on the cached images dumped from the buffer; enhance the detected event video to create a good quality video based on the cached images dumped from the buffer. Fiore et al teach a processor to communicate with the vision processor (e.g. abstract, figure 4: event processor connects with storage control 14); a processor to communicate with the vision processor; based on the indication of the abnormal event, dump the cached images located in the buffer at a time of the indication of the abnormal event create a detected event video based on the cached images dumped from the buffer. (e.g. paragraph 47-48: “The signal processor 10 also includes an event processor 16 that is adapted to extract data frames starting from a data frame that is a predetermined number of data frames before the external event time provided by the server 20 as described in further detail below, and ending a predetermined number of data frames after the external event time. The extracted data frames are then stored in file system 17 thereby providing a permanent record… the event processor 16 of the present embodiment is also adapted to mark the input signal data being stored in the circular storage buffer 15 when an event occurs to thereby flag the location of an occurrence of an external event in the circular storage buffer 15”). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of the Fiore et al into the teaching of Gopinath to allow playback of stored video from buffer without interrupting simultaneous recording of new input signal (e.g. abstract, Fiore et al) to improve the robustness of the system. Claim 10 is rejected for the same reasons as discussed in claim 1 above. For claims 6 and 15, Gopinath executes an image model to enhance the detected event video (e.g. paragraphs 18: frame rate, resolution and bit rate; or paragraph 22: high range). For claims 7 and 16, Gopinath teaches determine whether to provide the good quality video to a server; and in response to reception of a provide video notification, transmit the good quality video to the server (e.g. paragraph 13: “When some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhanced quality parameters in the camera to improve the video quality for some time after the event. This time period can be user configurable (e.g., 30 seconds, 1 minute, 2 minutes etc).”). For claims 9 and 18, Gopinath teaches detected event video is a low resolution video (e.g. paragraphs 18: frame rate, resolution and bit rate; or paragraph 22: high range). For claims 8 and 17, Gopinath teaches in response to reception of a provide video notification, the processor to provide the good quality video for output on a graphical user interface of the information handling system (e.g. figure 3, paragraph 13: “When some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhanced quality parameters in the camera to improve the video quality for some time after the event. This time period can be user configurable (e.g., 30 seconds, 1 minute, 2 minutes etc); paragraphs 12, 17, figure 1: video is transmitted to the security system 16 or server. Figure 3 also shows video can be display on a monitor). For claims 4 and 13, Gopinath teaches determine whether another individual other than a user of the information handling system has accessed the information handling system; and in response to the another individual having accessed the information handling system, provide the indication of the abnormal event to the processor, wherein the abnormal event is the another individual having accessed the information handling system (e.g. paragraph 25: if cameras sabotage is detected (e.g., changing the FOV, blinding, blurring of video images, etc.), the camera video parameters can be altered automatically.). Claims 2 and 11 are rejected under 35 U.S.C. 103 as being unpatentable over Gopinath and Fiore et al, as applied to claims 1,4, 6-10, 13, 15-18 above, and further in view of Mimar (US 2014/0139655). For claims 2 and 11, Gopinath and Fiore et al do not further disclose a free fall processor to determine whether a free fall event has occurred in the information handling system; and in response to a detected free fall event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected free fall event. Mimar teaches a free fall processor to determine whether a free fall event has occurred in the information handling system; and in response to a detected free fall event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected free fall event (e.g. paragraph 187: “The device also contains a free-fall detector, and when detected, it will send an email showing time of fall…and associated video. The video will include three clips, one for each camera). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of Mimar into the teaching Gopinath and Fiore et al to monitor tampering (e.g. paragraph 187, Mimar) to improve the robustness of the system. Claims 3 and 12 are rejected under 35 U.S.C. 103 as being unpatentable over Gopinath and Fiore et al, as applied to claims 1, 4, 6-10, 13, 15-18 above, and further in view of Atsumo (US 2023/0120235). For claims 3 and 12, Gopinath and Fiore et al do not further disclose a shock event processor to determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event. Atsumo teaches a shock event processor to determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event (e.g. paragraph 4: there is a drive recorder in which an event such as an impact shock detected by an acceleration sensor is synchronized with the captured video, and the synchronized data is stored in an external storage such as an SD card. As a result, for example, it becomes possible to identify and clip the video data at a date and time of the impact shock due to an accident to the vehicle.). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of Atsumo into the teaching Gopinath and Fiore et al to monitor tampering to improve the robustness of the system. Claims 19 and 20 are rejected under 35 U.S.C. 103 as being unpatentable over Gopinath, in view Fiore et al, in view of Mimar and further in view of Atsumo. For claim 19, Gopinath teaches , Gopinath teaches an information handling system comprising: a camera to capture a plurality of images associated with the information handling system (e.g. figure 1, cameras 22…24); a vision processor to communicate with the camera (e.g. figure 1, paragraph 15: video processors 26…28); and the processor to: receive an indication of an abnormal event for the information handling system (e.g. paragraph 13: “The automatic change in video quality of the camera can be triggered in the case of detection of any of a number of different types of predetermined events (e.g., motion or activity in the FOV of the camera, detected camera sabotage, any I/O or network related event, alarms from algorithms running on the camera…”); enhance the detected event video to create a good quality video (e.g. paragraph 13: “When some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhanced quality parameters in the camera to improve the video quality for some time after the event. This time period can be user configurable (e.g., 30 seconds, 1 minute, 2 minutes etc). ”); and store the good quality video in a memory of the information handling system, wherein the good quality video provides information associated with the abnormal event (e.g. paragraphs 12, 17, figure 1: video is transmitted to the security system 16 or server); Gopinath also teaches, see paragraph 13: when some event occurs in the FOV of the network camera, the system 10 automatically triggers the use of enhance quality parameters in the camera to improve video quality. It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to enhance quality of image based on the images from the buffer since the images of the buffer are part of the event (e.g. the teaching of Fiore et al below shows that some of the event images are stored in the circular buffer). Gopinath does not further disclose cache the images; a processor to communicate with the vision processor; based on the indication of the abnormal event, create a detected event video based on the cached images; a free fall processor to: determine whether a free fall event has occurred in the information handling system; and in response to a detected free fall event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected free fall event; a shock event processor to: determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event. Fiore et al teach a processor to communicate with the vision processor (e.g. abstract, figure 4: event processor connects with storage control 14); a processor to communicate with the vision processor; based on the indication of the abnormal event, dump the cached images located in the buffer at a time of the indication of the abnormal event create a detected event video based on the cached images dumped from the buffer. (e.g. paragraph 47-48: “The signal processor 10 also includes an event processor 16 that is adapted to extract data frames starting from a data frame that is a predetermined number of data frames before the external event time provided by the server 20 as described in further detail below, and ending a predetermined number of data frames after the external event time. The extracted data frames are then stored in file system 17 thereby providing a permanent record… the event processor 16 of the present embodiment is also adapted to mark the input signal data being stored in the circular storage buffer 15 when an event occurs to thereby flag the location of an occurrence of an external event in the circular storage buffer 15”). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of the Fiore et al into the teaching of Gopinath to allow playback of stored video from buffer without interrupting simultaneous recording of new input signal (e.g. abstract, Fiore et al) to improve the robustness of the system. Gopinath and Fiore et al do not further disclose a free fall processor to: determine whether a free fall event has occurred in the information handling system; and in response to a detected free fall event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected free fall event; a shock event processor to: determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event. Mimar teaches a free fall processor to: determine whether a free fall event has occurred in the information handling system; and in response to a detected free fall event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected free fall event (e.g. paragraph 187: “The device also contains a free-fall detector, and when detected, it will send an email showing time of fall…and associated video. The video will include three clips, one for each camera). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of Mimar into the teaching Gopinath and Fiore et al to monitor tampering (e.g. paragraph 187, Mimar) to improve the robustness of the system. Gopinath, Fiore et al and Mimar do not further disclose a shock event processor to: determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event. Atsumo teaches a shock event processor to: determine whether a shock event has occurred in the information handling system; and in response to a detected shock event, provide the indication of the abnormal event to the processor, wherein the abnormal event is the detected shock event.(e.g. paragraph 4: there is a drive recorder in which an event such as an impact shock detected by an acceleration sensor is synchronized with the captured video, and the synchronized data is stored in an external storage such as an SD card. As a result, for example, it becomes possible to identify and clip the video data at a date and time of the impact shock due to an accident to the vehicle.). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of Atsumo into the teaching Gopinath, Fiore et al and Mimar to monitor tampering to improve the robustness of the system. For claim 20, Gopinath teaches determine whether to provide the good quality video to a server; and in response to reception of a provide video notification, transmit the good quality video to the server (e.g. paragraphs 12, 17, figure 1: video is transmitted to the security system 16 or server). Claims 5 and 14 are rejected under 35 U.S.C. 103 as being unpatentable over Gopinath and Fiore et al, as applied to claims 1, 4, 6-10, 13, 15-18 above, and further in view of Rabii (US 2012/0147531). For claims 5 and 14, Gopinath and Fiore et al do not further disclose prior to reception of the indication of the abnormal event, the vision processor operates in a low power mode. Rabii teaches prior to reception of the indication of the abnormal event, the vision processor operates in a low power mode (e.g. paragraph 32: a relatively high power sensor of the apparatus 402 may transition to a dormant mode while a relatively low power sensor (e.g., an echolocator) is activated in order to maintain environmental awareness and improve battery life of the apparatus 402.). It would have been obvious to one ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teaching of Rabii into the teaching Gopinath and Fiore et al to maintain environmental awareness and improve battery life (e.g. paragraph 32, Rabii). 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 DAQUAN ZHAO whose telephone number is (571)270-1119. The examiner can normally be reached M-Thur: 7:00 am-5:00 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, Thai Tran can be reached on 571-272-7382. 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. Email: daquan.zhao1@uspto.gov. Phone: (571)270-1119 /DAQUAN ZHAO/Primary Examiner, Art Unit 2484
Read full office action

Prosecution Timeline

Jan 08, 2025
Application Filed
May 27, 2026
Non-Final Rejection mailed — §103
Jun 18, 2026
Interview Requested
Jun 25, 2026
Examiner Interview Summary
Jun 25, 2026
Applicant Interview (Telephonic)
Jun 30, 2026
Response Filed
Aug 05, 2026
Final Rejection mailed — §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
77%
Grant Probability
92%
With Interview (+14.5%)
2y 9m (~1y 2m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 1044 resolved cases by this examiner. Grant probability derived from career allowance rate.

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