CN114520911B - Measurement abnormality recognition control method, computer device, and storage medium - Google Patents
Measurement abnormality recognition control method, computer device, and storage medium Download PDFInfo
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- 238000005259 measurement Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000005856 abnormality Effects 0.000 title claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 104
- 238000004519 manufacturing process Methods 0.000 claims abstract description 81
- 238000001514 detection method Methods 0.000 claims abstract description 31
- 239000000758 substrate Substances 0.000 claims description 49
- 238000012795 verification Methods 0.000 claims description 16
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- 238000004590 computer program Methods 0.000 claims description 8
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The embodiment of the invention relates to the technical field of quality detection, and particularly discloses a measurement abnormality identification control method, computer equipment and a storage medium. According to the embodiment of the invention, the plurality of standard cameras are respectively marked with the shooting centers, so that a plurality of corresponding standard shooting centers are generated and stored; generating a center measurement difference value of the production camera, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and performing anomaly detection, and re-marking the standard camera center when the standard camera center is anomalous, and marking a plurality of suspicious cameras as undetected cameras. The method can mark the abnormal cameras in the consistency detection process of the camera shooting centers, carry out measurement abnormality identification and judgment according to the continuous occurrence quantity of the abnormal cameras, and carry out corresponding processing when the measurement abnormality occurs, thereby ensuring the normal detection and production of the cameras.
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 cameras, the consistency detection of the shooting centers of the cameras is generally required, and the consistency of the shooting centers of each qualified camera and the standard shooting center is ensured. In the existing production process, the base plate of the standard camera center is usually manufactured manually according to the standard camera, and the base plate is easy to loosen due to various base plates, so that the normal camera is likely to be judged to be the camera with abnormal measurement in the camera center consistency detection process, and the normal production of the camera is affected.
Disclosure of Invention
The embodiment of the invention aims to provide a measurement anomaly identification control method, computer equipment and a storage medium, and aims to solve the problems in the background technology.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
The measurement anomaly identification control method specifically comprises the following steps:
acquiring image pickup pictures of a plurality of standard cameras, respectively marking image pickup centers of the plurality of standard cameras, generating a plurality of corresponding standard image pickup centers on an electronic adjusting substrate, and storing the plurality of corresponding standard image pickup centers;
Acquiring a standard camera center corresponding to a production camera, measuring the camera center of the production camera according to the standard camera center, generating 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 occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras;
And according to the suspicious signals of the substrate, the corresponding standard cameras detect the abnormality of the standard camera center, and when the standard camera center is abnormal, the standard camera center is re-marked, and a plurality of suspicious cameras are marked as undetected cameras.
As a further limitation of the technical solution of the embodiment of the present invention, the acquiring the image capturing pictures of the plurality of standard cameras, respectively marking the image capturing centers of the plurality of standard cameras, generating a plurality of corresponding standard image capturing centers on the electronic adjusting substrate, and storing the plurality of corresponding standard image capturing centers specifically includes the following steps:
respectively acquiring shooting pictures of a plurality of standard cameras;
Acquiring the shooting centers of a plurality of standard cameras according to a plurality of shooting pictures;
Adjusting marks are carried out on a plurality of shooting centers on an electronic adjusting substrate, and a plurality of corresponding standard shooting centers are generated;
and respectively storing a plurality of standard shooting 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 marking the production camera as an abnormal camera when the center measurement difference is greater than a preset abnormal difference specifically includes the following steps:
Matching a standard camera shooting center corresponding to the production camera;
According to the standard camera shooting center, carrying out camera shooting 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 center measurement difference value is larger than the abnormal difference value, marking the production camera as an abnormal camera;
And if the central measurement difference value is not greater than the abnormal difference value, marking the production camera as a normal camera.
As a further limitation of the technical solution of the embodiment of the present invention, the step of performing the measurement of the imaging center on the production camera according to the standard imaging center, and generating the 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, and generating a center measurement difference value.
As a further limitation of the technical solution of the embodiment of the present invention, the recording of the number of occurrence of the abnormal cameras continuously, and when the number of occurrence is greater than a preset suspicious number, generating a substrate suspicious signal, and marking the plurality of abnormal cameras continuously occurring as suspicious cameras specifically includes the following steps:
recording the number of the cameras with continuous abnormal cameras;
Judging whether the occurrence number is larger than a preset suspicious number or not;
And when the occurrence number is greater than the suspicious number, generating a substrate suspicious signal, and marking a plurality of abnormal cameras which continuously occur as suspicious cameras.
As a further limitation of the technical solution of the embodiment of the present invention, the detecting the abnormality of the standard camera to the standard camera center according to the suspicious signal of the substrate, and re-marking the standard camera center when the standard camera center is abnormal, and marking the suspicious cameras as non-detected cameras specifically includes the following steps:
acquiring a verification camera center of a corresponding standard camera according to the substrate suspicious signal;
judging whether the verification shooting center coincides with a standard shooting center or not;
If the verification camera center is coincident with the standard camera center, the standard camera center is normal, and a plurality of suspicious cameras are marked as abnormal cameras;
if the verification camera shooting center is not coincident with the standard camera shooting center, the standard camera shooting center is abnormal, the verification camera shooting center is replaced by the standard camera shooting center, and a plurality of suspicious cameras are marked as undetected cameras.
It is a further object of an embodiment of the present invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the measurement anomaly identification 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 anomaly identification control method as described above.
Compared with the prior art, the invention has the beneficial effects that:
According to the embodiment of the invention, the plurality of standard cameras are respectively marked with the shooting centers, so that a plurality of corresponding standard shooting centers are generated and stored; generating a center measurement difference value of the production camera, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and performing anomaly detection, and re-marking the standard camera center when the standard camera center is anomalous, and marking a plurality of suspicious cameras as undetected cameras. The method has the advantages that the abnormal cameras can be marked in the consistency detection process of the camera shooting centers, the abnormal detection judgment is carried out according to the continuous occurrence quantity of the abnormal cameras, the standard camera shooting centers are re-marked when the abnormal detection occurs, the plurality of suspicious cameras are marked as undetected cameras, the abnormal detection is realized, and the normal detection and production of the cameras are ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Fig. 2 shows a flowchart of a standard camera center generating and storing in the method according to the embodiment of the present invention.
Fig. 3 shows a flowchart of camera center abnormality determination in the method provided by the embodiment of the invention.
Fig. 4 shows a flowchart of center measurement difference generation in the method provided by the embodiment of the invention.
Fig. 5 shows a flowchart of the occurrence number recording process in the method provided by the embodiment of the present invention.
Fig. 6 shows a flowchart of standard imaging center anomaly detection in the method according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It can be understood that in the prior art, the consistency detection in the camera production is usually to manually manufacture the substrate of the standard camera center according to the standard camera, and the normal camera is likely to be determined to be the camera with abnormal measurement in the camera center consistency detection process due to multiple substrate types and easy loosening of the substrate, so that the normal production of the camera is affected.
In order to solve the problems, in the embodiment of the invention, a plurality of standard cameras are respectively marked with a shooting center, and a plurality of corresponding standard shooting centers are generated and stored; generating a center measurement difference value of the production camera, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and performing anomaly detection, and re-marking the standard camera center when the standard camera center is anomalous, and marking a plurality of suspicious cameras as undetected cameras. The method can mark the abnormal cameras in the consistency detection process of the camera shooting centers, carry out measurement abnormality identification and judgment according to the continuous occurrence quantity of the abnormal cameras, and carry out corresponding processing when the measurement abnormality occurs, thereby ensuring the normal detection and production of the cameras.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Specifically, the method for measuring and identifying and controlling the abnormality specifically comprises the following steps:
Step S101, obtaining image capturing pictures of a plurality of standard cameras, respectively marking image capturing centers of the plurality of standard cameras, and generating and storing a plurality of corresponding standard image capturing centers on an electronic adjusting substrate.
In the embodiment of the invention, in the production process of cameras, firstly, a standard camera related to each model of camera is selected, and the shooting center marks of the standard cameras are carried out on an electronic adjusting substrate by acquiring shooting pictures of the standard cameras, so that the center of the shooting picture of the standard camera coincides with the center on the electronic adjusting substrate, thereby generating a standard shooting center on the electronic adjusting substrate, and the standard shooting center is named and stored according to the model of the standard camera.
Specifically, fig. 2 shows a flowchart of generating and storing a standard image capturing center in the method provided by the embodiment of the invention.
In a preferred embodiment of the present invention, the capturing images of a plurality of standard cameras are obtained, the capturing centers of the plurality of standard cameras are marked, and a plurality of corresponding standard capturing centers are generated and stored on an electronic adjustment substrate, and specifically includes the following steps:
in step S1011, the image capturing pictures of the plurality of standard cameras are acquired, respectively.
In the embodiment of the invention, after a plurality of standard cameras are respectively arranged on a universal measurement mounting seat and are electrically connected with a system, shooting pictures corresponding to the plurality of standard cameras are obtained.
Step S1012, obtaining the image capturing centers of the plurality of standard cameras according to the plurality of image capturing pictures.
In the embodiment of the invention, the image capturing center corresponding to each standard camera is obtained by analyzing the image capturing pictures corresponding to a plurality of standard cameras.
In step S1013, adjustment marks are performed on the electronic adjustment substrate for the plurality of imaging centers, and a plurality of corresponding standard imaging centers are generated.
In the embodiment of the invention, according to the positions of the electronic adjusting substrates corresponding to the shooting centers in the shooting pictures corresponding to the plurality of standard cameras, the positions are marked as the standard shooting centers, and the detection centers in the shape of Chinese character 'tian' are generated at the standard shooting centers of the electronic adjusting substrates.
Step S1014, storing a plurality of standard image capturing 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 anomaly identification control method further comprises the following steps:
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 the production camera is marked as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value.
In the embodiment of the invention, when the cameras are produced, the model of the production cameras is obtained through analysis of an input production task, the standard camera centers corresponding to the production cameras are matched, the standard camera centers are displayed on the electronic adjusting substrate, the distances between the centers of the test pictures and the standard camera centers are calculated through obtaining the test pictures of the production cameras, a center measurement difference value is generated, whether the center measurement difference value is larger than a preset abnormal difference value is judged, and when the center measurement difference value is larger than the abnormal difference value, the production cameras tested at the time are marked as the abnormal cameras.
Specifically, fig. 3 shows a flowchart of camera center abnormality determination in the method provided by the embodiment of the present invention.
In a preferred 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 marking the production camera as an abnormal camera when the center measurement difference is greater than a preset abnormal difference specifically includes the following steps:
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 analysis of 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.
Step S1022, according to the standard camera shooting center, carrying out camera shooting center measurement on the production camera to generate a center measurement difference value.
In the embodiment of the invention, after the production camera is electrically connected with the system, a 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 a 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 invention.
In a preferred embodiment of the present invention, the method for measuring the imaging center of the production camera according to the standard imaging center, and generating the center measurement difference specifically includes the following steps:
step S10221, obtaining a test picture of the production camera.
Step S10222, obtaining a standard camera center and a picture center of the production camera according to the test picture.
Step S10223, measuring the distance between the standard shooting center and the picture center, and generating a center measurement difference value.
Further, the obtaining a standard camera center corresponding to the production camera, measuring the camera center of the production camera according to the standard camera center, generating a center measurement difference value, and marking the production camera as an abnormal camera when the center measurement difference value is greater than a preset abnormal difference value, further comprises the following steps:
Step S1023, judging whether the central measurement difference value is larger than a preset abnormal difference value.
And step S1024, marking the production camera as an abnormal camera when the central measurement difference is larger than the abnormal difference.
And step S1025, marking the production camera as a normal camera when the central measurement difference is not larger than the abnormal difference.
Further, the measurement anomaly identification control method further comprises the following steps:
Step S103, recording the occurrence number of the abnormal cameras which continuously occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras.
In the embodiment of the invention, the times marked as the abnormal cameras are recorded, the times of continuous occurrence of the abnormal cameras are marked as occurrence numbers, the occurrence numbers are compared with preset suspicious numbers, whether the occurrence numbers are larger than the preset suspicious numbers is judged, when the occurrence numbers are larger than the suspicious numbers, a substrate suspicious signal is generated, a plurality of continuously occurring abnormal cameras are marked as suspicious cameras, and the suspicious cameras are transferred to the positions which are stored independently.
It will be appreciated that the standard camera center may deviate due to false contact by a worker, and the standard camera center is inaccurate at this time, and when a plurality of consecutive abnormal cameras occur, the standard camera center on the electronic adjustment substrate should be verified due to the error occurring in the standard camera center.
Specifically, fig. 5 shows a flowchart of the occurrence number recording process in the method provided by the embodiment of the present invention.
In the preferred embodiment provided by the invention, the recording of the occurrence number of the abnormal cameras continuously occurs, and when the occurrence number is greater than a preset suspicious number, generating a substrate suspicious signal, and marking the continuously occurring abnormal cameras as suspicious cameras specifically comprises the following steps:
in step S1031, the number of occurrences of the abnormal cameras continuously occurring is recorded.
Step S1032, judging whether the occurrence number is larger than a preset suspicious number.
And step S1033, when the occurrence number is larger than the suspicious number, generating a substrate suspicious signal, and marking a plurality of abnormal cameras which continuously occur as suspicious cameras.
Further, the measurement anomaly identification control method further comprises the following steps:
Step S104, according to the substrate suspicious signals, the corresponding standard cameras are used for carrying out anomaly detection on the standard camera centers, and when the standard camera centers are abnormal, the standard camera centers are re-marked, and a plurality of suspicious cameras are marked as undetected cameras.
In the embodiment of the invention, the standard camera is called for carrying out abnormality detection verification according to the suspicious signals of the substrate, whether the center of the image pickup picture of the standard camera coincides with the standard image pickup center is judged by acquiring the image pickup picture of the standard camera, the standard image pickup center is indicated to be abnormal when the center of the image pickup picture does not coincide with the standard image pickup center, the standard image pickup center is re-marked at the moment, a plurality of suspicious cameras can be normal cameras or abnormal cameras, a plurality of suspicious cameras are required to be marked as undetected cameras, and consistency detection is carried out on the undetected cameras again.
Specifically, fig. 6 shows a flowchart of detecting an anomaly of a standard imaging center in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the detecting the abnormality of the standard camera to the standard camera center according to the suspicious signal of the substrate, and re-marking the standard camera center when the standard camera center is abnormal, and marking the suspicious cameras as non-detected cameras specifically includes the following steps:
Step S1041, obtaining a verification camera center of the corresponding standard camera according to the substrate suspicious signal.
Step S1042, determining whether the verification image capturing center coincides with the standard image capturing center.
Step S1043, when the verification camera center is coincident with the standard camera center, the standard camera center is normal, and marks the suspicious cameras as abnormal cameras.
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 a plurality of suspicious cameras are marked as undetected cameras.
In a further embodiment, a computer device is presented, 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 image pickup pictures of a plurality of standard cameras, respectively marking image pickup centers of the plurality of standard cameras, generating a plurality of corresponding standard image pickup centers on an electronic adjusting substrate, and storing the plurality of corresponding standard image pickup centers;
Acquiring a standard camera center corresponding to a production camera, measuring the camera center of the production camera according to the standard camera center, generating 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 occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras;
And according to the suspicious signals of the substrate, the corresponding standard cameras detect the abnormality of the standard camera center, and when the standard camera center is abnormal, the standard camera center is re-marked, and a plurality of suspicious cameras are marked 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 image pickup pictures of a plurality of standard cameras, respectively marking image pickup centers of the plurality of standard cameras, generating a plurality of corresponding standard image pickup centers on an electronic adjusting substrate, and storing the plurality of corresponding standard image pickup centers;
Acquiring a standard camera center corresponding to a production camera, measuring the camera center of the production camera according to the standard camera center, generating 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 occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras;
And according to the suspicious signals of the substrate, the corresponding standard cameras detect the abnormality of the standard camera center, and when the standard camera center is abnormal, the standard camera center is re-marked, and a plurality of suspicious cameras are marked as undetected cameras.
In yet another embodiment, a measurement anomaly identification control system is provided.
Specifically, in still another preferred embodiment provided by the present invention, a measurement abnormality recognition control system includes:
the standard camera center generating unit is used for acquiring the camera pictures of the plurality of standard cameras, respectively marking the camera centers of the plurality of standard cameras, and generating and storing a plurality of corresponding standard camera centers on the electronic adjusting substrate.
The camera center measuring unit is used for acquiring a standard camera center corresponding to the production camera, carrying out camera center measurement on the production camera according to the standard camera center, generating 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.
The occurrence number recording processing unit is used for recording the occurrence number of the abnormal cameras which continuously occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras.
The standard center abnormality detection unit is used for detecting abnormality of the standard camera to the standard camera center according to the suspicious signals 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.
In summary, in the embodiment of the present invention, the imaging center is marked for each of the plurality of standard cameras, so as to generate and store a plurality of corresponding standard imaging centers; generating a center measurement difference value of the production camera, and marking the production camera as an abnormal camera when the center measurement difference value is larger than a preset abnormal difference value; marking a plurality of abnormal cameras which continuously appear as suspicious cameras; and performing anomaly detection, and re-marking the standard camera center when the standard camera center is anomalous, and marking a plurality of suspicious cameras as undetected cameras. The method has the advantages that the abnormal cameras can be marked in the consistency detection process of the camera shooting centers, the abnormal detection judgment is carried out according to the continuous occurrence quantity of the abnormal cameras, the standard camera shooting centers are re-marked when the abnormal detection occurs, the plurality of suspicious cameras are marked as undetected cameras, the abnormal detection is realized, and the normal detection and production of the cameras are ensured.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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 (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. The measurement anomaly identification control method is characterized by comprising the following steps of:
acquiring image pickup pictures of a plurality of standard cameras, respectively marking image pickup centers of the plurality of standard cameras, generating a plurality of corresponding standard image pickup centers on an electronic adjusting substrate, and storing the plurality of corresponding standard image pickup centers;
Acquiring a standard camera center corresponding to a production camera, measuring the camera center of the production camera according to the standard camera center, generating 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 occur, generating a substrate suspicious signal when the occurrence number is larger than the preset suspicious number, and marking the continuously occurring abnormal cameras as suspicious cameras;
And according to the suspicious signals of the substrate, the corresponding standard cameras detect the abnormality of the standard camera center, and when the standard camera center is abnormal, the standard camera center is re-marked, and a plurality of suspicious cameras are marked as undetected cameras.
2. The measurement anomaly identification control method according to claim 1, wherein the acquiring the image of the plurality of standard cameras, respectively performing image capturing center marks on the plurality of standard cameras, generating a plurality of corresponding standard image capturing centers on the electronic adjustment substrate, and storing the plurality of corresponding standard image capturing centers specifically comprises the steps of:
respectively acquiring shooting pictures of a plurality of standard cameras;
Acquiring the shooting centers of a plurality of standard cameras according to a plurality of shooting pictures;
Adjusting marks are carried out on a plurality of shooting centers on an electronic adjusting substrate, and a plurality of corresponding standard shooting centers are generated;
and respectively storing a plurality of standard shooting centers.
3. The measurement anomaly identification control method according to claim 1, wherein 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 marking the production camera as an anomaly camera when the center measurement difference is greater than a preset anomaly difference specifically comprises the following steps:
Matching a standard camera shooting center corresponding to the production camera;
According to the standard camera shooting center, carrying out camera shooting 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 center measurement difference value is larger than the abnormal difference value, marking the production camera as an abnormal camera;
And if the central measurement difference value is not greater than the abnormal difference value, marking the production camera as a normal camera.
4. The measurement anomaly identification control method according to claim 2, wherein the step of performing image capturing center measurement on the production camera according to the standard image capturing center, generating a center measurement difference value specifically comprises 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, and generating a center measurement difference value.
5. The measurement anomaly identification control method according to claim 1, wherein the recording of the number of occurrences of the continuously occurring anomaly cameras, and when the number of occurrences is greater than a preset suspicious number, generates a substrate suspicious signal, and marks the continuously occurring anomaly cameras as suspicious cameras specifically comprises the following steps:
recording the number of the cameras with continuous abnormal cameras;
Judging whether the occurrence number is larger than a preset suspicious number or not;
And when the occurrence number is greater than the suspicious number, generating a substrate suspicious signal, and marking a plurality of abnormal cameras which continuously occur as suspicious cameras.
6. The measurement anomaly identification control method according to claim 1, wherein the anomaly detection of the standard camera to the standard camera center according to the substrate suspicious signal, and the re-marking of the standard camera center when the standard camera center is abnormal, and the marking of the suspicious cameras as undetected cameras specifically comprises the following steps:
acquiring a verification camera center of a corresponding standard camera according to the substrate suspicious signal;
judging whether the verification shooting center coincides with a standard shooting center or not;
If the verification camera center is coincident with the standard camera center, the standard camera center is normal, and a plurality of suspicious cameras are marked as abnormal cameras;
if the verification camera shooting center is not coincident with the standard camera shooting center, the standard camera shooting center is abnormal, the verification camera shooting center is replaced by the standard camera shooting center, and a plurality of suspicious cameras are marked as undetected cameras.
7. A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the measurement anomaly identification control method of any one of claims 1 to 6.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, causes the processor to execute the steps of the measurement abnormality recognition control method according to any one of claims 1 to 6.
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