CN114520911A - Measurement abnormality recognition control method, computer device, and storage medium - Google Patents
Measurement abnormality recognition control method, computer device, and storage medium Download PDFInfo
- Publication number
- CN114520911A CN114520911A CN202210145952.7A CN202210145952A CN114520911A CN 114520911 A CN114520911 A CN 114520911A CN 202210145952 A CN202210145952 A CN 202210145952A CN 114520911 A CN114520911 A CN 114520911A
- Authority
- CN
- China
- Prior art keywords
- camera
- center
- cameras
- standard
- abnormal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000005259 measurement Methods 0.000 title claims abstract description 100
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000005856 abnormality Effects 0.000 title claims description 23
- 230000002159 abnormal effect Effects 0.000 claims abstract description 114
- 238000004519 manufacturing process Methods 0.000 claims abstract description 81
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 239000000758 substrate Substances 0.000 claims description 43
- 238000012795 verification Methods 0.000 claims description 13
- 238000012360 testing method Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 abstract description 5
- 238000003384 imaging method Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- General Factory Administration (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the invention relates to the technical field of quality detection, and particularly discloses a measurement anomaly identification control method, computer equipment and a storage medium. The embodiment of the invention respectively marks the camera shooting centers of a plurality of standard cameras to generate and store a plurality of corresponding standard camera shooting centers; generating a central measurement difference value of the production camera, and marking the production camera as an abnormal camera when the central measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and carrying out abnormity detection, and when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras. The abnormal cameras can be marked in the consistency detection process of the camera center, abnormal measurement identification and judgment are carried out according to the continuous occurrence quantity of the abnormal cameras, corresponding processing is carried out when the abnormal measurement occurs, and normal detection and production of the cameras are guaranteed.
Description
Technical Field
The invention belongs to the technical field of quality detection, and particularly relates to a measurement anomaly identification control method, computer equipment and a storage medium.
Background
In the production process of the camera, the consistency of the camera center of the camera is generally required to be detected, and the consistency of each qualified camera center of the camera and the standard camera center is ensured. In the existing production process, a substrate of a standard camera center is usually manufactured manually according to a standard camera, and due to the fact that the types of the substrates are multiple and the substrates are easy to loosen, a normal camera is likely to be judged as a camera with abnormal measurement in the consistency detection process of the camera center, and normal production of the camera is affected.
Disclosure of Invention
An embodiment of the present invention is directed to a measurement anomaly recognition control method, a computer device, and a storage medium, and aims to solve the problems set forth in the background art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
the measurement abnormality identification control method specifically comprises the following steps:
acquiring the camera pictures of a plurality of standard cameras, marking the camera centers of the standard cameras respectively, and generating and storing a plurality of corresponding standard camera centers on an electronic adjusting substrate;
Acquiring a standard camera center corresponding to a production camera, carrying out camera center measurement on the production camera according to the standard camera center to generate a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value;
recording the occurrence number of the abnormal cameras which continuously appear, generating a substrate suspicious signal when the occurrence number is larger than a preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras;
and according to the suspicious signal of the substrate, carrying out abnormity detection on a standard camera center by the corresponding standard camera, when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras.
As a further limitation of the technical solution of the embodiment of the present invention, the acquiring the images of the plurality of standard cameras, marking the centers of the plurality of standard cameras, and generating and storing a plurality of corresponding standard centers of the plurality of standard cameras on the electronic adjustment substrate specifically includes the following steps:
respectively acquiring the camera pictures of a plurality of standard cameras;
Acquiring a plurality of camera shooting centers of the standard cameras according to the plurality of camera shooting pictures;
carrying out adjustment marking on the plurality of camera shooting centers on an electronic adjustment substrate to generate a plurality of corresponding standard camera shooting centers;
and respectively storing a plurality of standard camera centers.
As a further limitation of the technical solution of the embodiment of the present invention, the obtaining a standard camera center corresponding to a production camera, performing camera center measurement on the production camera according to the standard camera center, generating a center measurement difference, and when the center measurement difference is greater than a preset abnormal difference, marking the production camera as an abnormal camera specifically includes the following steps:
matching a standard camera center corresponding to the production camera;
according to the standard camera center, carrying out camera center measurement on the production camera to generate a center measurement difference value;
judging whether the central measurement difference value is larger than a preset abnormal difference value or not;
if the central measurement difference is larger than the abnormal difference, marking the production camera as an abnormal camera;
and if the central measurement difference is not larger than the abnormal difference, marking the production camera as a normal camera.
As a further limitation of the technical solution of the embodiment of the present invention, the performing, according to the standard camera center, camera center measurement on the production camera, and generating a center measurement difference specifically includes the following steps:
obtaining a test picture of the production camera;
acquiring a standard camera center and a picture center of the production camera according to the test picture;
and measuring the distance between the standard camera shooting center and the picture center to generate a center measurement difference value.
As a further limitation of the technical solution of the embodiment of the present invention, the recording the number of occurrences of the abnormal cameras that continuously occur, and generating the suspicious signal of the substrate when the number of occurrences is greater than the preset suspicious number, and marking a plurality of abnormal cameras that continuously occur as suspicious cameras specifically includes the following steps:
recording the occurrence number of cameras with continuous abnormal occurrence;
judging whether the occurrence number is larger than a preset suspicious number or not;
and when the occurrence number is larger than the suspicious number, generating a suspicious signal of the substrate, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras.
As a further limitation of the technical solution of the embodiment of the present invention, the performing, according to the suspicious signal of the substrate, an abnormality detection on a standard camera center by a corresponding standard camera, and when the standard camera center is abnormal, relabeling the standard camera center, and labeling a plurality of suspicious cameras as undetected cameras specifically includes the following steps:
Acquiring a verification camera center of a corresponding standard camera according to the suspicious base plate signal;
judging whether the verification camera shooting center is superposed with a standard camera shooting center or not;
if the camera center is verified to be coincident with the standard camera center, the standard camera center is normal, and the suspicious cameras are marked as abnormal cameras;
and if the verification camera center is not coincident with the standard camera center, the standard camera center is abnormal, the verification camera center is replaced by the standard camera center, and the suspicious cameras are marked as undetected cameras.
It is another object of an embodiment of the present invention to provide a computer apparatus including a memory and a processor, the memory having stored therein a computer program, which, when executed by the processor, causes the processor to execute the steps of the measurement abnormality recognition control method as described above.
It is another object of an embodiment of the present invention to provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, causes the processor to execute the steps of the measurement abnormality identification control method as described above.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention respectively marks the camera shooting centers of a plurality of standard cameras to generate and store a plurality of corresponding standard camera shooting centers; generating a central measurement difference value of the production camera, and marking the production camera as an abnormal camera when the central measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and carrying out abnormity detection, and when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras. The abnormal cameras can be marked in the consistency detection process of the camera center, abnormal measurement identification judgment is carried out according to the continuous occurrence quantity of the abnormal cameras, the standard camera center is marked again when the abnormal measurement occurs, a plurality of suspicious cameras are marked as undetected cameras, and therefore the abnormal measurement identification is realized, and the normal detection and production of the cameras are guaranteed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flowchart of a standard camera center generating storage in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart of camera center abnormality determination in the method provided by the embodiment of the present invention.
Fig. 4 shows a flowchart of center measurement difference generation in the method provided by the embodiment of the present invention.
Fig. 5 shows a flow chart of occurrence count recording processing in the method provided by the embodiment of the invention.
Fig. 6 shows a flowchart of the anomaly detection of the standard imaging center in the method provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the prior art, consistency detection in camera production generally includes manually manufacturing a substrate of a standard camera center according to a standard camera, and due to the fact that the types of the substrates are multiple and the substrate is easy to loosen, a normal camera is likely to be determined as a camera with abnormal measurement in the consistency detection process of the camera center, and normal production of the camera is affected.
In order to solve the above problem, in the embodiment of the present invention, a plurality of standard cameras are respectively marked with a camera center, and a plurality of corresponding standard camera centers are generated and stored; generating a central measurement difference value of the production camera, and marking the production camera as an abnormal camera when the central measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and carrying out abnormality detection, and when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras. The abnormal cameras can be marked in the consistency detection process of the camera center, abnormal measurement identification and judgment are carried out according to the continuous occurrence quantity of the abnormal cameras, corresponding processing is carried out when the abnormal measurement occurs, and normal detection and production of the cameras are guaranteed.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the measurement abnormality recognition control method specifically includes the following steps:
and step S101, acquiring the camera images of a plurality of standard cameras, marking the camera centers of the standard cameras, and generating and storing a plurality of corresponding standard camera centers on the electronic adjusting substrate.
In the embodiment of the invention, in the production process of the camera, the standard camera related to each model of camera is selected, the camera center of the standard camera is marked on the electronic adjusting substrate by acquiring the camera images of the standard cameras, so that the center of the camera image of the standard camera is superposed with the center of the electronic adjusting substrate, the standard camera center is generated on the electronic adjusting substrate, and the standard camera center is named and stored according to the model of the standard camera.
Specifically, fig. 2 shows a flowchart of generating and storing by a standard camera center in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the acquiring the image capture pictures of a plurality of standard cameras, marking the image capture centers of the plurality of standard cameras, and generating and storing a plurality of corresponding standard image capture centers on an electronic adjustment substrate specifically includes the following steps:
in step S1011, the images captured by the plurality of standard cameras are acquired.
In the embodiment of the invention, after the plurality of standard cameras are respectively installed on the universal measuring installation seat and electrically connected with the system, the shooting pictures corresponding to the plurality of standard cameras are obtained.
And step S1012, acquiring the camera centers of the plurality of standard cameras according to the plurality of camera images.
In the embodiment of the invention, the camera shooting center corresponding to each standard camera is obtained by analyzing the camera shooting pictures corresponding to a plurality of standard cameras.
Step S1013, performing adjustment marks on the plurality of imaging centers on an electronic adjustment substrate, and generating a plurality of corresponding standard imaging centers.
In the embodiment of the invention, according to the position of the electronic adjusting substrate corresponding to the camera center in the camera shooting pictures corresponding to the plurality of standard cameras, the position is marked as the standard camera center, and the detection center in the shape of the Chinese character 'tian' is generated at the standard camera center of the electronic adjusting substrate.
Step S1014 stores a plurality of standard imaging centers, respectively.
In the embodiment of the invention, the standard camera center is named and stored according to the model of the standard camera.
Further, the measurement abnormality recognition control method further includes the steps of:
step S102, a standard camera center corresponding to the production camera is obtained, camera center measurement is carried out on the production camera according to the standard camera center, a center measurement difference value is generated, and when the center measurement difference value is larger than a preset abnormal difference value, the production camera is marked as an abnormal camera.
In the embodiment of the invention, when the camera is produced, the model of the production camera is obtained through analyzing the input production task, the standard camera center corresponding to the production camera is matched, the standard camera center is displayed on the electronic adjusting substrate, the distance between the center of the test picture and the standard camera center is calculated through obtaining the test picture of the production camera, the center measurement difference value is generated, whether the center measurement difference value is larger than the preset abnormal difference value or not is judged, and the production camera tested at this time is marked as the abnormal camera when the center measurement difference value is larger than the abnormal difference value.
Specifically, fig. 3 shows a flowchart of determining an abnormality of a camera center in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the acquiring a standard camera center corresponding to a production camera, performing camera center measurement on the production camera according to the standard camera center, generating a center measurement difference, and when the center measurement difference is greater than a preset abnormal difference, marking the production camera as an abnormal camera specifically includes the following steps:
and step S1021, matching the standard camera center corresponding to the production camera.
In the embodiment of the invention, when the camera is produced, the model of the production camera is obtained through analyzing the input production task, and then the standard camera center displayed on the electronic adjusting substrate is matched according to the model of the production camera.
And step S1022, carrying out shooting center measurement on the production camera according to the standard shooting center, and generating a center measurement difference value.
In the embodiment of the invention, after the production camera is electrically connected with the system, the test picture of the production camera is obtained, the distance between the picture center of the production camera and the standard camera center in the test picture is calculated, and the center measurement difference value is generated.
Specifically, fig. 4 shows a flowchart of center measurement difference generation in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the performing, according to the standard camera center, camera center measurement on the production camera, and generating a center measurement difference specifically includes the following steps:
and step S10221, acquiring a test picture of the production camera.
And step S10222, acquiring a standard camera center and a picture center of the production camera according to the test picture.
Step S10223, measuring a distance between the standard imaging center and the center of the screen, and generating a center measurement difference value.
Further, the obtaining a standard camera center corresponding to the production camera, performing camera center measurement on the production camera according to the standard camera center to generate a center measurement difference, and when the center measurement difference is greater than a preset abnormal difference, marking the production camera as an abnormal camera further includes the following steps:
step S1023, judging whether the central measurement difference value is larger than a preset abnormal difference value.
And step S1024, when the central measurement difference is larger than the abnormal difference, marking the production camera as the abnormal camera.
And step S1025, when the center measurement difference value is not greater than the abnormal difference value, marking the production camera as a normal camera.
Further, the measurement abnormality recognition control method further includes the steps of:
step S103, recording the occurrence number of the abnormal cameras which continuously appear, generating a substrate suspicious signal when the occurrence number is larger than a preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras.
In the embodiment of the invention, the times marked as abnormal cameras are recorded, the times of continuous occurrence of the abnormal cameras are marked as the number of occurrences, the number of occurrences is compared with the preset suspicious number, whether the number of occurrences is greater than the preset suspicious number or not is judged, a baseplate suspicious signal is generated when the number of occurrences is greater than the suspicious number, a plurality of abnormal cameras which continuously occur are marked as suspicious cameras, and the suspicious cameras are transferred to a separately stored position.
It can be understood that, the electronic adjustment substrate may cause deviation of the standard camera center due to error touch of a worker, the standard camera center at this time is inaccurate, and when a plurality of consecutive abnormal cameras occur, the standard camera center on the electronic adjustment substrate should be verified due to an error of the standard camera center.
Specifically, fig. 5 shows a flowchart of occurrence count recording processing in the method provided in the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the recording the number of occurrences of abnormal cameras that continuously occur, and generating a suspicious signal of a substrate when the number of occurrences is greater than a preset suspicious number, and marking a plurality of abnormal cameras that continuously occur as suspicious cameras specifically includes the following steps:
And step S1031, recording the number of abnormal cameras which continuously appear.
Step S1032 determines whether the number of occurrences is greater than a preset number of suspicious occurrences.
Step S1033, when the number of occurrences is greater than the suspicious number, generating a suspicious signal for the substrate, and marking a plurality of abnormal cameras that continuously appear as suspicious cameras.
Further, the measurement abnormality recognition control method further includes the steps of:
and step S104, according to the suspicious base plate signal, carrying out abnormity detection on a standard camera center by a corresponding standard camera, when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras.
In the embodiment of the invention, a standard camera is called to carry out abnormity detection and verification according to a suspicious signal of a substrate, whether the center of a camera image of the standard camera is overlapped with the standard camera center or not is judged by obtaining the camera image of the standard camera, when the center of the camera image is not overlapped with the standard camera center, the standard camera center is marked again, a plurality of suspicious cameras can be normal cameras or abnormal cameras, the suspicious cameras need to be marked as undetected cameras, and consistency detection is carried out on the undetected cameras again.
Specifically, fig. 6 shows a flowchart of the anomaly detection of the standard imaging center in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the method for detecting an abnormality of a standard camera center by a corresponding standard camera according to the suspicious signal of the substrate, and when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras specifically includes the following steps:
and S1041, acquiring a verification camera center of the corresponding standard camera according to the suspicious base plate signal.
Step S1042, determining whether the verification camera center coincides with a standard camera center.
And step S1043, when the camera center is verified to coincide with the standard camera center, the standard camera center is normal, and the suspicious cameras are marked as abnormal cameras.
And step S1044, when the verification camera center is not coincident with the standard camera center, the standard camera center is abnormal, the verification camera center is replaced by the standard camera center, and the suspicious cameras are marked as undetected cameras.
In yet another embodiment, a computer device is presented, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
Acquiring the camera pictures of a plurality of standard cameras, marking the camera centers of the standard cameras respectively, and generating and storing a plurality of corresponding standard camera centers on an electronic adjusting substrate;
acquiring a standard camera center corresponding to a production camera, performing camera center measurement on the production camera according to the standard camera center to generate a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value;
recording the occurrence number of the abnormal cameras which continuously appear, generating a baseplate suspicious signal when the occurrence number is larger than a preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras;
and according to the suspicious base plate signal, carrying out abnormity detection on a standard camera center by a corresponding standard camera, when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras.
In yet another embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
Acquiring the camera pictures of a plurality of standard cameras, marking the camera centers of the standard cameras respectively, and generating and storing a plurality of corresponding standard camera centers on an electronic adjusting substrate;
acquiring a standard camera center corresponding to a production camera, performing camera center measurement on the production camera according to the standard camera center to generate a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value;
recording the occurrence number of the abnormal cameras which continuously appear, generating a baseplate suspicious signal when the occurrence number is larger than a preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras;
and according to the suspicious base plate signal, carrying out abnormity detection on a standard camera center by a corresponding standard camera, when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras.
In yet another embodiment, a measurement anomaly identification control system is provided.
Specifically, in a further preferred embodiment provided by the present invention, a measurement abnormality recognition control system includes:
And the standard camera shooting center generating unit is used for acquiring camera shooting pictures of a plurality of standard cameras, marking the camera shooting centers of the standard cameras respectively, and generating and storing a plurality of corresponding standard camera shooting centers on the electronic adjusting substrate.
And the camera shooting center measuring unit is used for acquiring a standard camera shooting center corresponding to the production camera, carrying out camera shooting center measurement on the production camera according to the standard camera shooting center to generate a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value.
And the occurrence number recording and processing unit is used for recording the occurrence number of the abnormal cameras which continuously appear, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras.
And the standard center abnormity detection unit is used for carrying out abnormity detection on the standard camera center by the corresponding standard camera according to the suspicious base plate signal, carrying out relabeling on the standard camera center when the standard camera center is abnormal, and marking the suspicious cameras as undetected cameras.
In summary, in the embodiments of the present invention, the plurality of standard cameras are respectively marked with the camera centers, so as to generate and store a plurality of corresponding standard camera centers; generating a central measurement difference value of the production camera, and marking the production camera as an abnormal camera when the central measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and carrying out abnormity detection, and when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras. The abnormal cameras can be marked in the consistency detection process of the camera center, abnormal measurement identification judgment is carried out according to the continuous occurrence quantity of the abnormal cameras, the standard camera center is marked again when the abnormal measurement occurs, a plurality of suspicious cameras are marked as undetected cameras, and therefore the abnormal measurement identification is realized, and the normal detection and production of the cameras are guaranteed.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent should be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. The measurement abnormality recognition control method is characterized by specifically comprising the following steps:
Acquiring the camera pictures of a plurality of standard cameras, marking the camera centers of the standard cameras respectively, and generating and storing a plurality of corresponding standard camera centers on an electronic adjusting substrate;
acquiring a standard camera center corresponding to a production camera, carrying out camera center measurement on the production camera according to the standard camera center to generate a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value;
recording the occurrence number of the abnormal cameras which continuously appear, generating a substrate suspicious signal when the occurrence number is larger than a preset suspicious number, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras;
and according to the suspicious signal of the substrate, carrying out abnormity detection on a standard camera center by the corresponding standard camera, when the standard camera center is abnormal, re-marking the standard camera center, and marking a plurality of suspicious cameras as undetected cameras.
2. The measurement abnormality recognition control method according to claim 1, wherein the steps of acquiring the camera images of a plurality of standard cameras, marking the camera centers of the plurality of standard cameras, and generating and storing a plurality of corresponding standard camera centers on an electronic adjustment substrate specifically include:
Respectively acquiring the camera pictures of a plurality of standard cameras;
acquiring a plurality of camera centers of the standard cameras according to the plurality of camera pictures;
carrying out adjustment marking on the plurality of camera centers on an electronic adjustment substrate to generate a plurality of corresponding standard camera centers;
and respectively storing a plurality of standard camera centers.
3. The measurement abnormality recognition control method according to claim 1, wherein the acquiring a standard camera center corresponding to a production camera, performing camera center measurement on the production camera according to the standard camera center, generating a center measurement difference, and when the center measurement difference is larger than a preset abnormality difference, marking the production camera as an abnormal camera specifically comprises the following steps:
matching a standard camera center corresponding to the production camera;
according to the standard camera center, carrying out camera center measurement on the production camera to generate a center measurement difference value;
judging whether the central measurement difference is larger than a preset abnormal difference or not;
if the central measurement difference is larger than the abnormal difference, marking the production camera as an abnormal camera;
and if the central measurement difference is not larger than the abnormal difference, marking the production camera as a normal camera.
4. The method for identifying and controlling measurement abnormality according to claim 2, wherein the step of performing center measurement on the production camera according to the standard camera center, and generating a center measurement difference specifically includes the steps of:
obtaining a test picture of the production camera;
acquiring a standard camera center and a picture center of the production camera according to the test picture;
and measuring the distance between the standard camera shooting center and the picture center to generate a center measurement difference value.
5. The method according to claim 1, wherein the step of recording the number of occurrences of the abnormal cameras that continuously occur, and generating a suspicious substrate signal when the number of occurrences is greater than a preset suspicious number, and the step of marking a plurality of abnormal cameras that continuously occur as suspicious cameras specifically comprises the steps of:
recording the occurrence number of cameras with continuous abnormal occurrence;
judging whether the occurrence number is larger than a preset suspicious number or not;
and when the occurrence number is larger than the suspicious number, generating a suspicious signal of the substrate, and marking a plurality of abnormal cameras which continuously appear as suspicious cameras.
6. The method according to claim 1, wherein the step of performing an abnormality detection on a standard camera center by a corresponding standard camera according to the suspicious signal of the substrate, and re-marking the standard camera center when the standard camera center is abnormal, and marking a plurality of suspicious cameras as undetected cameras specifically includes the steps of:
acquiring a verification camera center of a corresponding standard camera according to the suspicious base plate signal;
judging whether the verification camera shooting center is overlapped with a standard camera shooting center or not;
if the camera center is verified to be coincident with the standard camera center, the standard camera center is normal, and the suspicious cameras are marked as abnormal cameras;
and if the verification camera center is not coincident with the standard camera center, the standard camera center is abnormal, the verification camera center is replaced by the standard camera center, and the suspicious cameras are marked as undetected cameras.
7. A computer arrangement, characterized by comprising a memory and a processor, a computer program being stored in the memory, which computer program, when being executed by the processor, causes the processor to carry out the steps of the measurement abnormality recognition control method according to any one of claims 1 to 6.
8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, causes the processor to carry out the steps of the measurement abnormality recognition control method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210145952.7A CN114520911B (en) | 2022-02-17 | 2022-02-17 | Measurement abnormality recognition control method, computer device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210145952.7A CN114520911B (en) | 2022-02-17 | 2022-02-17 | Measurement abnormality recognition control method, computer device, and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114520911A true CN114520911A (en) | 2022-05-20 |
| CN114520911B CN114520911B (en) | 2024-04-26 |
Family
ID=81599852
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210145952.7A Active CN114520911B (en) | 2022-02-17 | 2022-02-17 | Measurement abnormality recognition control method, computer device, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114520911B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116664699A (en) * | 2023-07-26 | 2023-08-29 | 广东工业大学 | Automobile production line data management system and method |
| CN116818769A (en) * | 2023-06-19 | 2023-09-29 | 苏州市职业大学（苏州开放大学） | Abnormality detection method and system based on machine vision |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105965250A (en) * | 2016-04-21 | 2016-09-28 | 珠海上富电技股份有限公司 | Camera center shaft adjusting machine |
| CN107147902A (en) * | 2017-05-27 | 2017-09-08 | 华勤通讯技术有限公司 | The detection method and picture pick-up device of picture pick-up device |
| WO2021164448A1 (en) * | 2020-02-20 | 2021-08-26 | 青岛海尔工业智能研究院有限公司 | Quality abnormity recording method and apparatus, and augmented reality device, system and medium |
-
2022
- 2022-02-17 CN CN202210145952.7A patent/CN114520911B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105965250A (en) * | 2016-04-21 | 2016-09-28 | 珠海上富电技股份有限公司 | Camera center shaft adjusting machine |
| CN107147902A (en) * | 2017-05-27 | 2017-09-08 | 华勤通讯技术有限公司 | The detection method and picture pick-up device of picture pick-up device |
| WO2021164448A1 (en) * | 2020-02-20 | 2021-08-26 | 青岛海尔工业智能研究院有限公司 | Quality abnormity recording method and apparatus, and augmented reality device, system and medium |
Non-Patent Citations (2)
| Title |
|---|
| 刘祚时;韩鑫;陈三风;胡涛;: "一种摄像模组位姿精确测量的方法", 现代电子技术, no. 07, 1 April 2020 (2020-04-01) * |
| 田鹏;唐阳山;夏道华;: "一种实现摄像头快速精准对心的工装系统设计", 电子世界, no. 19, 8 October 2015 (2015-10-08) * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116818769A (en) * | 2023-06-19 | 2023-09-29 | 苏州市职业大学（苏州开放大学） | Abnormality detection method and system based on machine vision |
| CN116818769B (en) * | 2023-06-19 | 2024-04-23 | 苏州市职业大学（苏州开放大学） | Abnormality detection method and system based on machine vision |
| CN116664699A (en) * | 2023-07-26 | 2023-08-29 | 广东工业大学 | Automobile production line data management system and method |
| CN116664699B (en) * | 2023-07-26 | 2023-10-24 | 广东工业大学 | Automobile production line data management system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114520911B (en) | 2024-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114520911B (en) | Measurement abnormality recognition control method, computer device, and storage medium | |
| CN107798047B (en) | Repeated work order detection method, device, server and medium | |
| CN104952061B (en) | The method tested for the wrong identification reliability to image detecting method | |
| WO2020062702A1 (en) | Method and device for sending text messages, computer device and storage medium | |
| WO2020206900A1 (en) | Vehicle loss assessment method and apparatus, computer device and storage medium | |
| CN110231937B (en) | Script defect scanning method, script defect scanning device, computer equipment and storage medium | |
| US20170014961A1 (en) | Method for controlling a screwing process | |
| CN114494117A (en) | Device glue distribution detection method and device, storage medium and electronic equipment | |
| CN115861268A (en) | Detection method and system of motor controller, computer equipment and storage medium | |
| CN115796660A (en) | Manufacturing product quality monitoring method and system based on big data | |
| US20220036529A1 (en) | Device and method for the calibrated checking of a printing on an article | |
| CN116895009A (en) | Model training method, oil mist removing method, device, equipment and storage medium | |
| CN115086155B (en) | Equipment fault detection and diagnosis method and system based on Internet of things | |
| JP2020113767A (en) | Method of classifying defects in semiconductor specimen and system thereof | |
| JP2020113155A5 (en) | ||
| CN116156245A (en) | Video jitter rapid detection method, device, computer equipment and medium | |
| CN114219035A (en) | Multi-sensor data fusion method and device | |
| CN111222428B (en) | Detection method for device fastening operation based on monitoring video | |
| CN116664699B (en) | Automobile production line data management system and method | |
| CN113034430B (en) | Video authenticity verification and identification method and system based on time watermark change analysis | |
| CN115760856B (en) | Image recognition-based part spacing measurement method, system and storage medium | |
| CN117606371B (en) | Coating thickness online monitoring system and method based on visual detection | |
| JP2019029001A5 (en) | Image data management methods, manufacturing equipment, production systems, image management methods for production systems, control programs, and recording media | |
| CN118096754B (en) | International freight service standard price monitoring method and system | |
| CN118430635B (en) | Method, device, equipment and storage medium for adjusting chip memory |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |