Prosecution Insights
Last updated: April 19, 2026
Application No. 18/702,285

FAULT DETECTION METHOD AND DEVICE FOR DISPLAY SCREEN, AND INSPECTION ROBOT

Non-Final OA §103
Filed
Apr 17, 2024
Examiner
PATEL, PINALBEN V
Art Unit
2673
Tech Center
2600 — Communications
Assignee
BOE TECHNOLOGY GROUP CO., LTD.
OA Round
1 (Non-Final)
89%
Grant Probability
Favorable
1-2
OA Rounds
2y 6m
To Grant
99%
With Interview

Examiner Intelligence

Grants 89% — above average
89%
Career Allow Rate
484 granted / 545 resolved
+26.8% vs TC avg
Moderate +10% lift
Without
With
+9.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
23 currently pending
Career history
568
Total Applications
across all art units

Statute-Specific Performance

§101
9.1%
-30.9% vs TC avg
§103
59.9%
+19.9% vs TC avg
§102
5.9%
-34.1% vs TC avg
§112
14.9%
-25.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 545 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 . Priority Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55. foreign priority not claimed in ADS. Information Disclosure Statement The information disclosure statement (IDS) submitted on 03/13/2025 and 11/15/2024 was filed. The submission is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner. Claim Interpretation The following is a quotation of 35 U.S.C. 112(f): (f) Element in Claim for a Combination. – An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof. The following is a quotation of pre-AIA 35 U.S.C. 112, sixth paragraph: An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof. The claims in this application are given their broadest reasonable interpretation using the plain meaning of the claim language in light of the specification as it would be understood by one of ordinary skill in the art. The broadest reasonable interpretation of a claim element (also commonly referred to as a claim limitation) is limited by the description in the specification when 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is invoked. As explained in MPEP § 2181, subsection I, claim limitations that meet the following three-prong test will be interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph: (A) the claim limitation uses the term “means” or “step” or a term used as a substitute for “means” that is a generic placeholder (also called a nonce term or a non-structural term having no specific structural meaning) for performing the claimed function; (B) the term “means” or “step” or the generic placeholder is modified by functional language, typically, but not always linked by the transition word “for” (e.g., “means for”) or another linking word or phrase, such as “configured to” or “so that”; and (C) the term “means” or “step” or the generic placeholder is not modified by sufficient structure, material, or acts for performing the claimed function. Use of the word “means” (or “step”) in a claim with functional language creates a rebuttable presumption that the claim limitation is to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites sufficient structure, material, or acts to entirely perform the recited function. Absence of the word “means” (or “step”) in a claim creates a rebuttable presumption that the claim limitation is not to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is not interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites function without reciting sufficient structure, material or acts to entirely perform the recited function. Claim limitations in this application that use the word “means” (or “step”) are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action. Conversely, claim limitations in this application that do not use the word “means” (or “step”) are not being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action. This application includes one or more claim limitations that do not use the word “means,” but are nonetheless being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, because the claim limitation(s) uses a generic placeholder that is coupled with functional language without reciting sufficient structure to perform the recited function and the generic placeholder is not preceded by a structural modifier. Such claim limitation(s) is/are: “image acquiring module”, “a coordinate determining module”, and “fault determining module” in claim 10. Because this/these claim limitation(s) is/are being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, it/they is/are being interpreted to cover the corresponding structure described in the specification as performing the claimed function, and equivalents thereof. Original specifications paragraphs [008-0011] and [0094-0095] discloses computer hardware processor(s) or their equivalents thereof to execute the functions described by modules in claim 10. If applicant does not intend to have this/these limitation(s) interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph, applicant may: (1) amend the claim limitation(s) to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph (e.g., by reciting sufficient structure to perform the claimed function); or (2) present a sufficient showing that the claim limitation(s) recite(s) sufficient structure to perform the claimed function so as to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA 35 U.S.C. 112, sixth paragraph. 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 1-2, 4, 6-12 are rejected under 35 U.S.C. 103 as being unpatentable over Hong et al. (CN 102081895 A, as provided) in view of Ma et al. (CN 114279683 A, as provided). Regarding Claim 1, Hong discloses A fault detection method for a display screen, comprising: acquiring a to-be-detected image, wherein the to-be-detected image is obtained by photographing a display screen by an inspection device in a moving process, the to-be- detected image is a display image of any display screen in the display screen, the display screen comprises a plurality of LED lamp beads, and each LED lamp bead corresponds to one imaging point; (Hong, [0027], discloses the image collecting device 1, to LED display screen of inspection 200 and collection of LED display screen 200 image. and generating an image signal, specifically, the image acquisition device 1 comprises a camera 11 and optical luminance 12, the camera of the lens 11 facing the LED display screen 200 and for obtaining a surface image of the LED display screen 200, the optical meter 12 is connected to the camera 11, and for the brightness of the image to judge and producing image signal; image of LED display screen is obtained using imaging device) respectively comparing the to-be-detected coordinate set with at least one preset fault point coordinate set, and determining a fault type of the display screen in response to the comparison being successful wherein a fault type of a display screen corresponds to at least one preset fault point coordinate set. (Hong, [0028-0029], discloses host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; fault in LED display screen is determined) Hong does not explicitly disclose tiled display screen and determining, on the basis of a preset coordinate system, a to-be-detected coordinate set formed by imaging coordinates of imaging points having a same RGB value in the to-be- detected image; and Ma discloses tiled display screen (Ma, Contents of the invention, discloses the industrial control computer for controlling the dot matrix display screen in the display screen box body of a partition lamp plate is illuminated to display different colours in turn, and other partition lamp plate is extinguished; or the industrial control computer is used for controlling multiple partition lamp plates in the display screen box body of the lattice display screen to be lightened at the same time; and the different respectively are displayed; multiple LED display screens are placed in tiled form to be detected from imaging device camera) and determining, on the basis of a preset coordinate system, a to-be-detected coordinate set formed by imaging coordinates of imaging points having a same RGB value in the to-be- detected image; (Ma, Contents of invention, discloses provide an automatic detection platform for display screen and a method thereof and an LED display screen, wherein, in one embodiment of the invention, the automatic detection platform for display screen can automatically intercept the image by partition lighting mode, so that all the lamp bead pixels in the captured image are directly corresponding to the lamp bead coordinate, convenient for subsequent defect coordinate positioning, which is good for improving the defect locating accuracy; controlling the working camera of the monitoring mechanism shooting the current display screen box body, so as to obtain the box body image corresponding to the current display screen box body; controlling the working camera according to the bright-dark boundary or colour boundary, intercepting the partition lamp plate image corresponding to the partition lamp plate of the current display screen box body from the box body image, for numbering; controlling the working camera for primary analysis of the sub-area lamp plate image after numbering, so as to judge whether the colour value of all lamp bead pixels in each of the sub-area lamp plate image is the same; in response to the colour value of all lamp bead pixels in the current partition lamp plate image is completely consistent, controlling the working camera to discard the current partition lamp plate image; and in response to the colour value of all lamp bead pixels in the current partition lamp plate image is not completely consistent, controlling the working camera to transmit the current partition lamp plate image, as the abnormal lamp plate image to store. According to one embodiment of the present application, the deep learning model to all stored the abnormal lamp plate image for processing again, to obtain the defect type and defect coordinate of the lattice display screen is present, comprising the steps of: invoking the deep learning model, the abnormal lamp plate image stored for the second time analysis, to analyze the defect type and defect position of the partition lamp plate corresponding to the abnormal lamp plate image; and marking the defect coordinate in the abnormal lamp panel image to record in the detection log; prestored and display led images RGB values at their corresponding coordinate sets are compared to determine defects (faulty display); coordinate position of LED imaging points and their RGB color values are compared with preset stored positions to determine accuracy of the position of led image points in captured image) Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention was made to combine the teachings of Hong in view of Ma having a method of detecting fault in display screen with led points captured using imaging device, with the teachings of Ma having, having system to determine defective display screen based on captured tiled displays and comparing their led imaging points with preset values at corresponding coordinate locations in order to improve quality of manufactured led displays. Regarding Claim 2, The combination of Hong and Ma further discloses comparing the to-be-detected coordinate set with the first fault point coordinate set; and determining, in response to coordinates in the to-be-detected coordinate set being respectively equal to coordinates in the first fault point coordinate set, that the comparison is successful and determining that the fault type of the display screen is a signal loss fault or an all-LED controller fault. (Hong, [0028-0029], discloses host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; fault in LED display screen is determined). Additionally, the rational and motivation to combine the references Hong and Ma as applied in rejection of claim 1 apply to this claim. Regarding Claim 4, The combination of Hong and Ma further discloses wherein the preset fault point coordinate set comprises a second preset fault point coordinate set, and the second preset fault point coordinate set comprises at least one second preset fault point coordinate subset; and respectively comparing the to-be-detected coordinate set with each preset fault point coordinate set, and determining the fault type of the display screen in response to the comparison being successful comprise: respectively comparing the to-be-detected coordinate set with each second fault point coordinate subset, and determining, in response to the comparison being successful, an LED control chip fault corresponding to the second preset fault point coordinate subset with the successful comparison. (Ma, Contents of invention, discloses provide an automatic detection platform for display screen and a method thereof and an LED display screen, wherein, in one embodiment of the invention, the automatic detection platform for display screen can automatically intercept the image by partition lighting mode, so that all the lamp bead pixels in the captured image are directly corresponding to the lamp bead coordinate, convenient for subsequent defect coordinate positioning, which is good for improving the defect locating accuracy; coordinate position of LED imaging points is compared with preset stored positions to determine accuracy of the position of led image points in captured image). Additionally, the rational and motivation to combine the references Hong and Ma as applied in rejection of claim 1 apply to this claim. Regarding Claim 6, The combination of Hong and Ma further discloses judging, in response to the to-be-detected coordinate set being not successfully compared with each preset fault point coordinate set, whether RGB values of a second preset quantity are the same for any group of imaging points with the second preset quantity that form one image pixel; and determining, if not, LED lamp bead faults corresponding to different imaging points. (Ma, contents of the invention, discloses controlling the working camera of the monitoring mechanism shooting the current display screen box body, so as to obtain the box body image corresponding to the current display screen box body; controlling the working camera according to the bright-dark boundary or colour boundary, intercepting the partition lamp plate image corresponding to the partition lamp plate of the current display screen box body from the box body image, for numbering; controlling the working camera for primary analysis of the sub-area lamp plate image after numbering, so as to judge whether the colour value of all lamp bead pixels in each of the sub-area lamp plate image is the same; in response to the colour value of all lamp bead pixels in the current partition lamp plate image is completely consistent, controlling the working camera to discard the current partition lamp plate image; and in response to the colour value of all lamp bead pixels in the current partition lamp plate image is not completely consistent, controlling the working camera to transmit the current partition lamp plate image, as the abnormal lamp plate image to store. According to one embodiment of the present application, the deep learning model to all stored the abnormal lamp plate image for processing again, to obtain the defect type and defect coordinate of the lattice display screen is present, comprising the steps of: invoking the deep learning model, the abnormal lamp plate image stored for the second time analysis, to analyze the defect type and defect position of the partition lamp plate corresponding to the abnormal lamp plate image; and marking the defect coordinate in the abnormal lamp panel image to record in the detection log; prestored and display led images RGB values at their corresponding coordinate sets are compared to determine defects (faulty display)). Additionally, the rational and motivation to combine the references Hong and Ma as applied in rejection of claim 1 apply to this claim. Regarding Claim 7, The combination of Hong and Ma further discloses sending the to-be-detected image to a server in response to the to-be-detected coordinate set being not successfully compared with each preset fault point coordinate set and there is no LED lamp bead fault, such that the server determines a standard image corresponding to the to-be-detected image in a pre-stored image set, and compares the to-be-detected image with the standard image to determine whether the display screen is faulty and the fault type. (Ma, contents of the invention, discloses controlling the working camera of the monitoring mechanism shooting the current display screen box body, so as to obtain the box body image corresponding to the current display screen box body; controlling the working camera according to the bright-dark boundary or colour boundary, intercepting the partition lamp plate image corresponding to the partition lamp plate of the current display screen box body from the box body image, for numbering; controlling the working camera for primary analysis of the sub-area lamp plate image after numbering, so as to judge whether the colour value of all lamp bead pixels in each of the sub-area lamp plate image is the same; in response to the colour value of all lamp bead pixels in the current partition lamp plate image is completely consistent, controlling the working camera to discard the current partition lamp plate image; and in response to the colour value of all lamp bead pixels in the current partition lamp plate image is not completely consistent, controlling the working camera to transmit the current partition lamp plate image, as the abnormal lamp plate image to store. According to one embodiment of the present application, the deep learning model to all stored the abnormal lamp plate image for processing again, to obtain the defect type and defect coordinate of the lattice display screen is present, comprising the steps of: invoking the deep learning model, the abnormal lamp plate image stored for the second time analysis, to analyze the defect type and defect position of the partition lamp plate corresponding to the abnormal lamp plate image; and marking the defect coordinate in the abnormal lamp panel image to record in the detection log; prestored and display led images RGB values at their corresponding coordinate sets are compared to determine defects (faulty display)). Additionally, the rational and motivation to combine the references Hong and Ma as applied in rejection of claim 1 apply to this claim. Regarding Claim 8, The combination of Hong and Ma further discloses wherein after determining the fault type of the display screen, the method further comprises: determining location information of a faulty display screen in the tiled display screen according to a current location of the inspection device; and sending the location information to the server and/or a mobile terminal bound to the inspection device. Regarding Claim 9, The combination of Hong and Ma further discloses comprising an inspection robot, a frame, a light-shading part and image acquisition equipment, wherein bottom of the frame is provided with wheels for controlling the inspection device to move; the image acquisition equipment is located in a space formed by the frame and the light- shading part, is arranged on the inspection robot, faces one side of the tiled display screen, and is used for photographing the tiled display screen to obtain the to-be-detected image, wherein the to-be-detected image is a display image of any display screen in the tiled display screen; and the inspection robot receives the to-be-detected image from the image acquisition equipment and determines whether the display screen is faulty and the fault type according to the to-be-detected image. (Hong, Exemplary, as shown in FIG. 2, the display screen of the automatic detection platform 10 in the mobile mechanism can, but not limited to comprising a guide rail 121. a bracket 122 and a driving device 123, wherein the driving device 123 is set between the guide rail 121 and the bracket 122, and the driving device 123 for driving the bracket 122 to move along the guide rail 121 under the control of the industrial control machine 11. at the same time, the monitoring mechanism 13 is set on the bracket 122 of the movable mechanism 12, so as to drive the monitoring mechanism the bracket 122 to move to the position needed to be monitored, such as the position corresponding to the display screen box 21 lighted by partition. It can be understood that the moving of the mechanism device 123 can be but not limited to be implemented as a guide rail robot, so as to move along the guide rail 121, so as to drive the bracket 122 along the guide rail 121; robot, guide rail (wheels on frame connected with imaging device (camera)). Claims 10, 11 and 12 recite robot with elements corresponding method claims recited in Claims 1-3 respectively. Therefore, the recited elements of the robot Claims 10, 11 and 12 are mapped to the proposed combination in the same manner as the corresponding steps of Claims 1-3 respectively. Additionally, the rationale and motivation to combine the Hong and Ma references presented in rejection of Claim 1, apply to these claims. Furthermore, the combination of Hong and Ma further discloses A fault detection device for a display screen, comprising an image capturing module, a coordinate determining module and a fault determining module (Hong, [0026-0030], Fig. 1, discloses it is the invention claims a LED display screen fault collecting and analyzing system 100, comprising image collecting device 1, a host 2 and a display device 3, wherein; the image collecting device 1, to LED display screen of inspection 200 and collection of LED display screen 200 image. and generating an image signal, specifically, the image acquisition device 1 comprises a camera 11 and optical luminance 12, the camera of the lens 11 facing the LED display screen 200 and for obtaining a surface image of the LED display screen 200, the optical meter 12 is connected to the camera 11, and for the brightness of the image to judge and producing image signal; host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; the present invention relates to a LED display screen fault collecting and analyzing system 100, which through image collecting device 1 and can collect current state LED display screen 200 and producing image signal, and 22 to make the current LED display screen 200 to a state with the database memory card module 21 in the corresponding matching state by analyzing comparator, so as to find out the fault of the current LED display screen 200 and 3 is displayed through the display device). Furthermore, the combination of Hong and Ma further discloses A fault detection device for a display screen comprising an image acquiring module; a coordinate determining module; and a fault determining module programs (Hong, [0026-0030], Fig. 1, discloses it is the invention claims a LED display screen fault collecting and analyzing system 100, comprising image collecting device 1, a host 2 and a display device 3, wherein; the image collecting device 1, to LED display screen of inspection 200 and collection of LED display screen 200 image. and generating an image signal, specifically, the image acquisition device 1 comprises a camera 11 and optical luminance 12, the camera of the lens 11 facing the LED display screen 200 and for obtaining a surface image of the LED display screen 200, the optical meter 12 is connected to the camera 11, and for the brightness of the image to judge and producing image signal; host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; the present invention relates to a LED display screen fault collecting and analyzing system 100, which through image collecting device 1 and can collect current state LED display screen 200 and producing image signal, and 22 to make the current LED display screen 200 to a state with the database memory card module 21 in the corresponding matching state by analyzing comparator, so as to find out the fault of the current LED display screen 200 and 3 is displayed through the display device). Furthermore, the combination of Hong and Ma further discloses An inspection robot, comprising a memory, a processor, and computer programs stored on the memory and capable of being run on the processor, wherein the processor, when executing the computer programs (Hong, [0026-0030], Fig. 1, discloses it is the invention claims a LED display screen fault collecting and analyzing system 100, comprising image collecting device 1, a host 2 and a display device 3, wherein; the image collecting device 1, to LED display screen of inspection 200 and collection of LED display screen 200 image. and generating an image signal, specifically, the image acquisition device 1 comprises a camera 11 and optical luminance 12, the camera of the lens 11 facing the LED display screen 200 and for obtaining a surface image of the LED display screen 200, the optical meter 12 is connected to the camera 11, and for the brightness of the image to judge and producing image signal; host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; the present invention relates to a LED display screen fault collecting and analyzing system 100, which through image collecting device 1 and can collect current state LED display screen 200 and producing image signal, and 22 to make the current LED display screen 200 to a state with the database memory card module 21 in the corresponding matching state by analyzing comparator, so as to find out the fault of the current LED display screen 200 and 3 is displayed through the display device). Furthermore, the combination of Hong an Ma further discloses A computer readable storage medium, storing computer program instructions thereon, wherein the computer program instructions, when executed by a processor (Hong, [0026-0030], Fig. 1, discloses it is the invention claims a LED display screen fault collecting and analyzing system 100, comprising image collecting device 1, a host 2 and a display device 3, wherein; the image collecting device 1, to LED display screen of inspection 200 and collection of LED display screen 200 image. and generating an image signal, specifically, the image acquisition device 1 comprises a camera 11 and optical luminance 12, the camera of the lens 11 facing the LED display screen 200 and for obtaining a surface image of the LED display screen 200, the optical meter 12 is connected to the camera 11, and for the brightness of the image to judge and producing image signal; host computer 2, connected with the image acquisition device 1 to receive image signal, and analyzing and processing the image signal. the main machine 2 is further provided with a database memory card module 21 and an analysis comparator 22, the database memory card module 21 is preset with fault information, specific fault information comprises fault type and all the common for the current LED display screen 200 of fault information; the analysis comparator 22 is further connected with a database memory card module 21 and can freely adjusting the fault information. the main machine 2 through the analysis comparator 22 to make LED display screen 200 the present state and the database memory card module 21 in the respective states are matched, and determining the current LED display screen 200 of fault information, specifically, the image acquisition device 1 can perform signal transmission through the network between the host 2, the network can be a wired network, also can be wireless network, specifically can be the host 2 is a computer; display device 3 is connected with the host 2 and display the fault information of the LED display screen 200, the display device 3 is preferably an LCD display screen. LED display screen 200 fault collecting and analyzing system of course, to make people can more directly obtains the fault information of the LED display screen 200, the present invention is directed to 100 further comprises an alarm device 4, the alarm device 4 connected with the host 2, and lower the host 2 to send out alarm sound; the present invention relates to a LED display screen fault collecting and analyzing system 100, which through image collecting device 1 and can collect current state LED display screen 200 and producing image signal, and 22 to make the current LED display screen 200 to a state with the database memory card module 21 in the corresponding matching state by analyzing comparator, so as to find out the fault of the current LED display screen 200 and 3 is displayed through the display device). Allowable Subject Matter Claims 3 and 5 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: CN 115546141 A (The invention claims a small sample Mini LED defect detection method and system based on multi-dimensional measurement, the method comprises the following steps: S1: obtaining the Mini LED screen picture and processing the image grey scale; S2: binarizing the grey-processed image; S3: determining the outline coordinate of the image after binarization processing, cutting the single LED matrix image according to the contour coordinate; S4: using ResNet18 as feature extraction module to construct the detection model and training, obtaining the training after the detection model; S5: inputting the detected single LED matrix image into the trained detection model, and outputting the defect detection result. The invention can quickly determine the position of the LED matrix by image pre-processing, so as to obtain a single LED matrix graph, at the same time, in the detection model, using multi-dimensional measurement mode to overcome the problem that the classical measurement mode calculates the similarity dimension and cannot well express the similarity of the image, it improves the accuracy of the defect detection) Any inquiry concerning this communication or earlier communications from the examiner should be directed to PINALBEN V PATEL whose telephone number is (571)270-5872. The examiner can normally be reached M-F: 10am - 8pm. 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, Wills-Burns Chineyere can be reached at 571-272-9752. 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. /Pinalben Patel/Examiner, Art Unit 2673
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Prosecution Timeline

Apr 17, 2024
Application Filed
Feb 05, 2026
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
89%
Grant Probability
99%
With Interview (+9.9%)
2y 6m
Median Time to Grant
Low
PTA Risk
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