CN116886889A - Camera focusing detection device - Google Patents
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- CN116886889A CN116886889A CN202310956901.7A CN202310956901A CN116886889A CN 116886889 A CN116886889 A CN 116886889A CN 202310956901 A CN202310956901 A CN 202310956901A CN 116886889 A CN116886889 A CN 116886889A
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- 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
Abstract
The application relates to a camera focusing detection device, which comprises: the top of the test table is provided with a circular installation table top; the mounting pedestal is mounted in the middle of the circular mounting table top; the tested table seats are uniformly distributed on the circular mounting table top along the circumferential direction of the mounting table seat, face the mounting table seat and can slide along the radial direction of the circular mounting table; the test execution assembly is arranged on the mounting pedestal and is used for driving the camera to be detected to rotate and shake to perform focusing detection; and the test planning module is used for generating a test scheme according to the test requirement of a user to control the tested platform, the test execution assembly and the camera to be tested to perform focusing detection. The application can effectively improve the focusing detection efficiency and the detection precision.
Description
Technical Field
The application relates to the field of focusing detection, in particular to a camera focusing detection device.
Background
A CAMERA (CAMERA or WEBCAM) is also called a computer CAMERA, a computer eye, an electronic eye, etc., and is a video input device widely used in video conference, telemedicine, real-time monitoring, etc. The focal length of the lenses in the camera can be selected differently according to the requirement, and the focal length accuracy of the lenses is high, otherwise, the definition of the camera is affected.
The traditional camera focusing detection method is to manually move the camera by a tester, manually trigger focusing (namely, manually control the terminal to execute the movement of the camera motor), and visually observe whether the picture shot by the camera after focusing is clear or not, so as to judge whether the focusing of the camera is normal or not.
However, manual detection consumes a lot of manpower, which results in reduced production efficiency, and is also prone to error in test results caused by substandard operation of testers.
Disclosure of Invention
The application provides a camera focusing detection device, which aims to solve the problems that the conventional manual detection consumes a large amount of manpower, so that the production efficiency is reduced, and errors exist in a test result due to the fact that the operation of a tester is not up to standard.
In a first aspect, the present application provides a camera focusing detection device, which adopts the following technical scheme:
a camera focus detection apparatus, comprising:
the top of the test table is provided with a circular installation table top;
the mounting pedestal is mounted in the middle of the circular mounting table top;
the tested table seats are uniformly distributed on the circular mounting table top along the circumferential direction of the mounting table seat, face the mounting table seat and can slide along the radial direction of the circular mounting table;
the test execution assembly is arranged on the mounting pedestal and is used for driving the camera to be detected to rotate and shake to perform focusing detection; and
and the test planning module is used for generating a test scheme according to the test requirement of the user to control the tested platform, the test execution assembly and the camera to be tested to perform focusing detection.
Preferably, the mounting pedestal is arranged at the center of a circular mounting table surface, and a plurality of linear guide rails for driving the tested table seat to slide along the radial direction of the circular mounting table surface are arranged on the circular mounting table surface.
Preferably, the test execution assembly comprises an electric rotating base and a multi-shaft vibration platform for driving the camera to be detected to shake, wherein the electric rotating base is arranged on the mounting pedestal, and the multi-shaft vibration platform is arranged at the rotating end of the electric rotating base; the vibration end of the multi-axis vibration platform is provided with a mounting plate for fixing the camera to be detected.
Preferably, the test planning module generates a test scheme according to a user test requirement to control the tested platform, the test execution assembly and the camera to be tested to perform focusing detection, and specifically comprises the following steps:
the test planning module obtains test requirement information input by a user to generate a test requirement instruction, wherein the test requirement instruction comprises one or more of short-distance focusing detection, long-distance focusing detection, rotation focusing detection, shaking focusing detection, dynamic movement focusing detection and scene focusing detection;
the test planning module generates a focusing detection scheme according to the focusing detection instruction matching, wherein the focusing detection scheme comprises equipment control parameters and test flow information;
the test planning module is used for setting parameters of the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to a focusing detection scheme;
the test planning module generates a control instruction according to the test flow information, and sends the control instruction to the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform so as to control the tested platform seat, the test execution assembly and the camera to be detected to perform focusing detection according to the test flow;
and the test planning module collects the detection data, packages the detection data, generates a detection report and sends the detection report to a manager.
Preferably, the test planning module generates a focus detection scheme according to the focus detection instruction matching, and specifically includes the following steps:
the test planning module plans to generate a plurality of detection planning schemes meeting the test requirements of users through a preset scheme planning model according to the focusing detection instruction; the scheme planning model is formed by training a machine learning model through historical data;
verifying the detection time sequence of each detection planning scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula;
and sequencing the detection planning schemes based on the scores, and selecting the detection planning scheme with the highest score as a focusing detection scheme.
Preferably, the step of verifying the detection time sequence of each detection planning scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula specifically includes the following steps:
determining the interference coefficient of each focusing detection item to the next focusing detection item in each detection planning scheme through a preset test item interference comparison table, and further determining the total interference coefficient of each detection planning scheme under the detection time sequence; the test item interference comparison table comprises various focusing detection items in the test requirement instruction and corresponding interference coefficients thereof;
performing simulation on each detection planning scheme to obtain the predicted detection duration;
sequencing each detection planning scheme based on the total interference coefficient and the detection duration to generate an interference sequence and a duration sequence, wherein the higher the total interference coefficient is, the lower the ranking in the interference sequence is, and the longer the detection duration is, the lower the ranking in the duration sequence is;
determining interference scores and duration scores of all detection planning schemes through a preset sequence ranking comparison table, and calculating the scores of all detection planning schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps: y is Y i ＝X 1 *G i +X 2 *S i The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is i Scoring the ith test plan; g i Scoring interference for the ith detection plan; s is S i Scoring the length of time of the ith detection plan; x is X 1 Is a detection precision coefficient; x is X 2 Is the detection efficiency coefficient, and X 1 、X 2 Are set by the manager.
Preferably, the parameter setting of the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform by the test planning module according to the focusing detection scheme specifically comprises the following steps:
after the test planning module is connected with the camera to be detected, which is arranged on the mounting plate, the camera to be detected is controlled to start;
the test planning module controls the tested pedestal, the test execution assembly and the camera to be tested to reset;
and the test planning module carries out parameter setting on the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to equipment control parameters in the focusing detection scheme, and controls the linear guide rail to drive the tested seat to a specified position.
Preferably, the parameter setting of the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform by the test planning module according to the focusing detection scheme specifically comprises the following steps:
after the test planning module is connected with the camera to be detected, which is arranged on the mounting plate, the camera to be detected is controlled to start;
the test planning module controls the tested pedestal, the test execution assembly and the camera to be tested to reset;
and the test planning module carries out parameter setting on the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to equipment control parameters in the focusing detection scheme, and controls the linear guide rail to drive the tested seat to a specified position.
Preferably, the test planning module collects the detection data, packages the detection data to generate a detection report, and sends the detection report to a manager, and the method specifically comprises the following steps:
the test planning module acquires image information shot by a camera to be detected in each focusing detection in a test requirement instruction;
performing definition detection on image information of each item of focus detection in the test demand instruction, and outputting a focus detection result based on the definition result;
marking various detection items in the test demand instruction on a preset performance ring uniformly, drawing a multi-side focusing performance graph in the performance ring based on various focusing detection results to generate a focusing detection multi-dimensional graph, wherein the vertexes of the multi-side focusing performance graph point to the various focusing detection items marked on the performance ring respectively;
and packaging the focusing detection result and the focusing detection multidimensional graph to generate a detection report, and sending the detection report to a manager.
Preferably, the detecting the definition of the image information of each item of focus detection in the test requirement instruction specifically includes the following steps:
dividing the image into a plurality of image areas according to an image division algorithm;
obtaining mosaic color blocks from the plurality of image areas according to preset position information;
and obtaining a definition result corresponding to the image through calculating the number of the pixel points of the designated color in the mosaic color block.
In summary, the present application includes at least one of the following beneficial technical effects:
1. through the arrangement of the test planning module, a detection scheme is intelligently generated according to the test requirements of a user, automatic parameter setting is further realized on a tested pedestal, a test execution assembly and a camera to be detected, and each item of focusing detection is sequentially carried out on the tested pedestal, the test execution assembly and the camera to be detected according to the detection scheme, so that the focusing detection precision and the detection efficiency are improved, manpower and material resources are saved, the phenomenon that errors exist in a test result due to the fact that the operation of a tester is not up to standard is avoided, and the effect of accurately and efficiently carrying out focusing detection on the camera is achieved;
2. by carrying out time sequence authentication on each detection planning scheme, acquiring the interference of the operation time sequence on the next operation, and further calculating the score of each detection planning scheme, the method realizes the selection of the scheme with low interference and short detection time, namely, the detection planning scheme with high detection precision and high detection efficiency is selected as a focusing detection scheme, so that the effects of effectively improving the detection efficiency and the detection precision are achieved;
3. and each item of focusing detection data carried out by the camera is intuitively displayed by drawing a focusing detection multidimensional graph, so that production personnel can intuitively know each item of focusing capability of the camera, reading preview and reading guidance can be provided for the camera, and the reading performance of a detection report can be improved.
Drawings
Fig. 1 is a schematic structural diagram of a camera focusing detection device according to an embodiment of the present application;
fig. 2 is a schematic top view of a camera focusing detection device according to an embodiment of the application;
FIG. 3 is a system block diagram of a camera focus detection apparatus in an embodiment of the application;
FIG. 4 is a flowchart of a method for focus detection by a test plan module according to an embodiment of the present application;
FIG. 5 is a flow chart of a method for matching a generated focus detection scheme in an embodiment of the application;
FIG. 6 is a flow chart of a method of calculating scores for individual test plans in an embodiment of the application;
FIG. 7 is a flowchart of a method for setting parameters of a camera focus detection apparatus according to an embodiment of the present application;
FIG. 8 is a flow chart of a method for packaging to generate a detection report in an embodiment of the application;
fig. 9 is a flowchart of a method for detecting sharpness of image information captured by a camera according to an embodiment of the present application.
Reference numerals illustrate: 1. a test bench; 11. a circular mounting table top; 2. a mounting pedestal; 3. a test stand; 31. a linear guide rail; 4. a test execution component; 41. an electric rotating base; 42. a multi-axis vibration platform; 43. a mounting plate; 5. and a test planning module.
Detailed Description
The application is described in further detail below with reference to fig. 1-9.
The embodiment of the application discloses a camera focusing detection device. Referring to fig. 1-3, a camera focusing detection device includes a test bench 1, a mounting bench 2, a plurality of tested benches, a test execution assembly 4, and a test planning module 5. Wherein test bench 1, mounting bench 2, a plurality of benches under test and test execution assembly 4 are all connected with test planning module 5. The top of the test bench 1 is provided with a circular installation table top 11, and the installation pedestal 2 is installed in the middle of the circular installation table top 11. The plurality of tested seats are uniformly distributed on the circular installation table-board 11 along the circumferential direction of the installation table-base 2, and all face the installation table-base 2. And a plurality of tested pedestals can slide along the radial direction of the circular mounting table. The test execution assembly 4 is installed on the installation pedestal 2 and is used for driving the camera to be detected to rotate and shake for focusing detection. The test planning module 5 is used for generating a test scheme according to the test requirement of the user to control the tested platform, the test execution assembly 4 and the camera to be tested to perform focusing detection. Through setting up of test planning module 5, according to user's test demand intelligence generation detection scheme, and then to being surveyed pedestal, test execution assembly 4 and wait to detect the camera and realize automatic parameter setting to control to be surveyed pedestal, test execution assembly 4 and wait to detect the camera and carry out each item according to detection scheme in proper order and focus the detection, help improving detection accuracy and detection efficiency of focusing, practice thrift manpower and materials, avoid appearing leading to the phenomenon that the test result exists error because of the tester operation is not up to standard, reach accurate high-efficient effect of focusing the detection to the camera.
Referring to fig. 1-3, the mounting base 2 is disposed at the center of a circular mounting table 11. The circular mounting table 11 is provided with a plurality of linear guide rails 31 for driving the tested table to slide along the radial direction thereof. The test execution assembly 4 comprises an electric rotating base 41 and a multi-axis vibration platform 42 for driving the camera to be detected to shake. The multi-axis vibration table 42 can simulate the shake of a human hand when the camera is used, and is helpful for accurately detecting the actual focusing capability of the camera. The electric rotating base 41 is mounted on the mounting base 2, and the multi-axis vibration table 42 is mounted at the rotating end of the electric rotating base 41. The vibration end of the multi-axis vibration table 42 is mounted with a mounting plate 43 for fixing the camera to be detected. The mounting plate 43 may mount a jig or a fixture according to the type of the test camera to fix the camera to be detected. Through the setting of linear guide 31, be convenient for adjust each measured bench distance mount pad 2's position to drive the measured bench and remove according to the test demand and realize treating the camera of detecting and carry out the dynamic focus detection. By the arrangement of the multi-axis vibration platform 42, the shaking scenes simulating the use of hands can be applied to the camera, so that the reality of diagonal detection data is improved, and the actual focusing capability of the camera is accurately detected. In addition, the multi-axis vibration platform 42 simulates hand shake, which is a conventional technology, and the specific structure thereof is not described herein, and in this embodiment, the multi-axis vibration platform 42 adopts a two-axis vibration platform.
Referring to fig. 4, the test planning module 5 generates a test scheme according to a user test requirement to control the tested platform, the test execution assembly 4 and the camera to be tested to perform focusing detection specifically includes the following steps:
a1, generating a test demand instruction: the test planning module 5 obtains test requirement information input by a user to generate a test requirement instruction, wherein the test requirement instruction comprises one or more of short-distance focusing detection, long-distance focusing detection, rotation focusing detection, jitter focusing detection, dynamic movement focusing detection and scene focusing detection;
a2, generating a focusing detection scheme: the test planning module 5 generates a focusing detection scheme according to the focusing detection instruction matching, wherein the focusing detection scheme comprises equipment control parameters and test flow information;
a3, parameter setting: the test planning module 5 performs parameter setting on the camera to be detected, the linear guide rail 31, the electric rotating seat and the multi-axis vibration platform 42 according to a focusing detection scheme;
a4, generating a control instruction to perform focusing detection: the test planning module 5 generates a control instruction according to the test flow information, and sends the control instruction to the camera to be detected, the linear guide rail 31, the electric rotating seat and the multi-axis vibration platform 42 to control the tested seat, the test execution assembly 4 and the camera to be detected to perform focusing detection according to the test flow;
a5, generating a detection report: and the test planning module 5 collects the detection data, packages the detection data, generates a detection report and sends the detection report to a manager. Through setting up of the test planning module 5, the test requirements of the user are obtained in real time, the corresponding focusing detection scheme generated based on the test requirements of the user is used for realizing automatic parameter setting on the test equipment, the test flow is generated based on the test requirements of the user to control the test equipment to perform various focusing detection on the camera in order, the phenomenon that errors exist in the test result due to the fact that the operation of the tester is not up to standard is avoided while manpower and material resources are saved, and the effects of effectively improving the focusing detection efficiency and the detection precision are achieved.
Referring to fig. 5, the test planning module 5 generates a focus detection scheme according to the focus detection instruction matching, specifically including the following steps:
b1, generating a plurality of detection planning schemes: the test planning module 5 plans to generate a plurality of detection planning schemes meeting the test requirements of users through a preset scheme planning model according to the focusing detection instruction; the scheme planning model is formed by training a machine learning model through historical data;
b2, calculating scores for each detection planning scheme: verifying the detection time sequence of each detection planning scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula;
b3, selecting a focusing detection scheme: and sequencing the detection planning schemes based on the scores, and selecting the detection planning scheme with the highest score as a focusing detection scheme. By performing time sequence authentication on each detection planning scheme, the interference of the operation time sequence to the next operation is obtained, and then the score of each detection planning scheme is calculated, so that the scheme with low interference and short detection time is selected, namely the detection planning scheme with high detection precision and high detection efficiency is selected as a focusing detection scheme, and the effects of effectively improving the detection efficiency and the detection precision are achieved.
Referring to fig. 6, the step of verifying the detection time sequence of each detection plan, and calculating the score of each detection plan according to a preset plan score calculation formula specifically includes the following steps:
and C1, determining the total interference coefficient of each detection planning scheme: determining the interference coefficient of each focusing detection item to the next focusing detection item in each detection planning scheme through a preset test item interference comparison table, and further determining the total interference coefficient of each detection planning scheme under the detection time sequence; the test item interference comparison table comprises various focusing detection items in the test requirement instruction and corresponding interference coefficients thereof;
and C2, acquiring the predicted detection duration of each detection planning scheme: performing simulation on each detection planning scheme to obtain the predicted detection duration;
and C3, generating an interference sequence and a duration sequence: sequencing each detection planning scheme based on the total interference coefficient and the detection duration to generate an interference sequence and a duration sequence, wherein the higher the total interference coefficient is, the lower the ranking in the interference sequence is, and the longer the detection duration is, the lower the ranking in the duration sequence is;
and C4, calculating the score of each detection planning scheme: determining interference scores and duration scores of all detection planning schemes through a preset sequence ranking comparison table, and calculating the scores of all detection planning schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps: y is Y i ＝X 1 *G i +X 2 *S i The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is i Scoring the ith test plan; g i Scoring interference for the ith detection plan; s is S i Scoring the length of time of the ith detection plan; x is X 1 Is a detection precision coefficient; x is X 2 Is the detection efficiency coefficient, and X 1 、X 2 Are set by the manager. By acquiring the infection influence of each test time sequence on the next test operation, if shake focusing detection is performed first and then static far-distance and near-distance focusing detection is performed, shake generated in the shake focusing detection step can interfere the focusing capacity of the camera and is easy to inherit to the next test link, long test interval waiting time is often required to be set, and the phenomenon that interference cannot be completely eliminated easily occurs. Therefore, each detection planning scheme is ranked and scored from two dimensions of each test time sequence interference and the whole test time length, and the method is beneficial to improving the scoring rationality of alternative detection schemes and the accuracy of scheme selection on the basis of considering the detection precision and the detection efficiency, so that the effects of effectively improving the focusing detection precision and the detection efficiency are achieved.
Before the detection time sequence verification is carried out on each detection planning scheme, firstly acquiring focusing detection preference items of a user, selecting the detection planning scheme which does not receive interference from the focusing detection preference items as an alternative scheme based on the focusing detection preference items, carrying out the detection time sequence verification on each alternative scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula. Based on the purpose of focusing detection of the user, each detection planning scheme is initially screened, and on the basis of considering detection precision and detection efficiency, the method meets the requirements of the user and improves the satisfaction of the user.
Referring to fig. 7, the parameter setting of the test planning module 5 according to the focusing detection scheme for the camera to be detected, the linear guide rail 31, the electric rotating seat and the multi-axis vibration platform 42 specifically includes the following steps:
d1, starting up a camera to be detected: after the test planning module 5 is connected with the camera to be detected, which is arranged on the mounting plate 43, the camera to be detected is controlled to start;
d2, resetting: the test planning module 5 controls the tested bench, the test execution assembly 4 and the camera to be tested to reset;
d3, parameter setting: the test planning module 5 sets parameters of the camera to be detected, the linear guide rail 31, the electric rotating seat and the multi-axis vibration platform 42 according to the equipment control parameters in the focusing detection scheme, and controls the linear guide rail 31 to drive the tested seat to a specified position. The test planning module 5 controls the test equipment to reset and parameter setting of the camera to be detected based on the focusing detection scheme, and initializes the test table 1, thereby being beneficial to efficiently detecting the focusing, saving manpower and material resources and achieving the effect of effectively improving the focusing detection precision and the detection efficiency.
Referring to fig. 8, the test planning module 5 collects the test data, packages the test data to generate a test report, and sends the test report to the manager, which specifically includes the following steps:
e1, acquiring image information: the test planning module 5 acquires image information shot by a camera to be detected in each focusing detection in the test requirement instruction;
and E2, performing definition detection: performing definition detection on image information of each item of focus detection in the test demand instruction, and outputting a focus detection result based on the definition result;
e3, drawing a focusing detection multidimensional graph: marking various detection items in the test demand instruction on a preset performance ring uniformly, drawing a multi-side focusing performance graph in the performance ring based on various focusing detection results to generate a focusing detection multi-dimensional graph, wherein the vertexes of the multi-side focusing performance graph point to the various focusing detection items marked on the performance ring respectively;
and E4, generating a detection report: and packaging the focusing detection result and the focusing detection multidimensional graph to generate a detection report, and sending the detection report to a manager. And each item of focusing detection data carried out by the camera is intuitively displayed by drawing a focusing detection multidimensional graph, so that production personnel can intuitively know each item of focusing capability of the camera, reading preview and reading guidance can be provided for the camera, and the reading performance of a detection report can be improved.
Referring to fig. 9, the above-mentioned sharpness detection for each item of focus detection image information in the test requirement instruction specifically includes the following steps:
f1, image segmentation: dividing the image into a plurality of image areas according to an image division algorithm;
f2, obtaining mosaic color blocks: obtaining mosaic color blocks from the plurality of image areas according to preset position information;
if the lower right corner of a certain image area is set as the mosaic color block, the preset position information corresponds to the lower right corner, and the extraction of the mosaic color block can be realized more quickly through the preset position information
F3, obtaining a definition result corresponding to the image: and obtaining a definition result corresponding to the image through calculating the number of the pixel points of the designated color in the mosaic color block. In the application, the designated colors in the mosaic color block are black and white, if the picture is clear, the black pixel point and the white pixel point are obviously distinguished, otherwise, the picture blurring can make the black pixel point and the white pixel point difficult to distinguish. Therefore, the definition result can be further obtained by calculating the number of the pixel points with the designated color, for example, if the number of the pixel points with the black color is close to 0, the definition result indicates that the close-range picture is not clear, and the close-range focusing detection of the camera is abnormal.
There are many prior art techniques available for performing sharpness recognition on pictures taken by cameras. The application adopts an image segmentation algorithm to segment the picture into a plurality of image areas, and the tested target picture comprises four color blocks, namely a red block R, a blue block B, a green block G and a black and white mosaic color block M, wherein the red block R, the blue block B and the green block G are used for color cast analysis, and the mosaic color block M is used for focusing detection. Therefore, before the camera focus detection is performed, the mosaic color blocks M need to be acquired from the picture taken and output by the camera. The image segmentation algorithm is adopted to segment the picture, so that a plurality of image areas are formed, color patches contained in different image areas are different, for example, the image areas where the mosaic color patches are located contain the mosaic color patches. The image segmentation algorithm includes threshold-based image segmentation, region-based image segmentation, edge-based image segmentation. Selecting different image segmentation algorithms according to different application scenarios will be beneficial for improving the detection efficiency, for example, the application scenario based on a picture with a significant difference between background and foreground, and the picture segmentation is applicable to the threshold-based image segmentation, so the present exemplary embodiment is not limited thereto.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the scope of the present application. It will be apparent that the described embodiments are merely some, but not all, embodiments of the application. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present application or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present application, which also falls within the scope of the present application.
Claims (10)
1. A camera focus detection apparatus, comprising:
the test bench comprises a test bench (1), wherein a circular mounting table top (11) is arranged at the top of the test bench (1);
the mounting pedestal (2) is mounted in the middle of the circular mounting table top (11);
the tested stand seats are uniformly distributed on the circular mounting table top (11) along the circumferential direction of the mounting stand seat (2), are arranged towards the mounting stand seat (2) and can slide along the radial direction of the circular mounting stand seat;
the test execution assembly (4) is arranged on the mounting pedestal (2) and is used for driving the camera to be detected to rotate and shake for focusing detection; and
and the test planning module (5) is used for generating a test scheme according to the test requirement of a user to control the tested platform, the test execution assembly (4) and the camera to be detected to perform focusing detection.
2. The camera focus detection apparatus according to claim 1, wherein: the mounting table seat (2) is arranged at the center of a circular mounting table surface (11), and a plurality of linear guide rails (31) used for driving the tested table seat to slide along the radial direction of the circular mounting table surface (11) are arranged on the circular mounting table surface.
3. The camera focus detection apparatus according to claim 2, wherein: the test execution assembly (4) comprises an electric rotating base (41) and a multi-axis vibration platform (42) for driving a camera to be detected to shake, the electric rotating base (41) is arranged on the mounting pedestal (2), and the multi-axis vibration platform (42) is arranged at the rotating end of the electric rotating base (41); the vibration end of the multi-axis vibration platform (42) is provided with a mounting plate (43) for fixing a camera to be detected.
4. A camera focus detection apparatus according to claim 3, wherein: the test planning module generates a test scheme according to the test requirement of a user to control the tested platform, the test execution assembly and the camera to be tested to perform focusing detection, and specifically comprises the following steps:
the test planning module obtains test requirement information input by a user to generate a test requirement instruction, wherein the test requirement instruction comprises one or more of short-distance focusing detection, long-distance focusing detection, rotation focusing detection, shaking focusing detection, dynamic movement focusing detection and scene focusing detection;
the test planning module generates a focusing detection scheme according to the focusing detection instruction matching, wherein the focusing detection scheme comprises equipment control parameters and test flow information;
the test planning module is used for setting parameters of the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to a focusing detection scheme;
the test planning module generates a control instruction according to the test flow information, and sends the control instruction to the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform so as to control the tested platform seat, the test execution assembly and the camera to be detected to perform focusing detection according to the test flow;
and the test planning module collects the detection data, packages the detection data, generates a detection report and sends the detection report to a manager.
5. The camera focus detection apparatus of claim 4, wherein: the test planning module generates a focusing detection scheme according to the focusing detection instruction matching, and specifically comprises the following steps:
the test planning module plans to generate a plurality of detection planning schemes meeting the test requirements of users through a preset scheme planning model according to the focusing detection instruction; the scheme planning model is formed by training a machine learning model through historical data;
verifying the detection time sequence of each detection planning scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula;
and sequencing the detection planning schemes based on the scores, and selecting the detection planning scheme with the highest score as a focusing detection scheme.
6. The camera focus detection apparatus of claim 5, wherein: the step of verifying the detection time sequence of each detection planning scheme, and calculating the score of each detection planning scheme through a preset scheme score calculation formula specifically comprises the following steps:
determining the interference coefficient of each focusing detection item to the next focusing detection item in each detection planning scheme through a preset test item interference comparison table, and further determining the total interference coefficient of each detection planning scheme under the detection time sequence; the test item interference comparison table comprises various focusing detection items in the test requirement instruction and corresponding interference coefficients thereof;
performing simulation on each detection planning scheme to obtain the predicted detection duration;
sequencing each detection planning scheme based on the total interference coefficient and the detection duration to generate an interference sequence and a duration sequence, wherein the higher the total interference coefficient is, the lower the ranking in the interference sequence is, and the longer the detection duration is, the lower the ranking in the duration sequence is;
determining interference scores and duration scores of all detection planning schemes through a preset sequence ranking comparison table, and calculating the scores of all detection planning schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps: y is Y i ＝X 1 *G i +X 2 *S i The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is i Scoring the ith test plan; g i Scoring interference for the ith detection plan; s is S i Scoring the length of time of the ith detection plan; x is X 1 Is a detection precision coefficient; x is X 2 Is the detection efficiency coefficient, and X 1 、X 2 Are set by the manager.
7. The camera focus detection apparatus of claim 6, wherein: the step of verifying the detection time sequence of each detection planning scheme, and the step of calculating the score of each detection planning scheme through a preset scheme score calculation formula further comprises the following steps: acquiring focusing detection preference items of users, selecting detection planning schemes which do not receive interference from the focusing detection preference items as alternative schemes based on the focusing detection preference items, performing detection time sequence verification on each alternative scheme, and calculating the scores of each detection planning scheme through a preset scheme score calculation formula.
8. The camera focus detection apparatus of claim 4, wherein: the test planning module carries out parameter setting on the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to a focusing detection scheme, and specifically comprises the following steps of:
after the test planning module is connected with the camera to be detected, which is arranged on the mounting plate, the camera to be detected is controlled to start;
the test planning module controls the tested pedestal, the test execution assembly and the camera to be tested to reset;
and the test planning module carries out parameter setting on the camera to be detected, the linear guide rail, the electric rotating seat and the multi-axis vibration platform according to equipment control parameters in the focusing detection scheme, and controls the linear guide rail to drive the tested seat to a specified position.
9. The camera focus detection apparatus of claim 4, wherein: the test planning module collects the detection data, packages the detection data to generate a detection report, and sends the detection report to a manager, and the method specifically comprises the following steps of:
the test planning module acquires image information shot by a camera to be detected in each focusing detection in a test requirement instruction;
performing definition detection on image information of each item of focus detection in the test demand instruction, and outputting a focus detection result based on the definition result;
marking various detection items in the test demand instruction on a preset performance ring uniformly, drawing a multi-side focusing performance graph in the performance ring based on various focusing detection results to generate a focusing detection multi-dimensional graph, wherein the vertexes of the multi-side focusing performance graph point to the various focusing detection items marked on the performance ring respectively;
and packaging the focusing detection result and the focusing detection multidimensional graph to generate a detection report, and sending the detection report to a manager.
10. The camera focusing detection apparatus according to claim 9, wherein the sharpness detection of the image information of each focusing detection in the test requirement instruction specifically includes the steps of:
dividing the image into a plurality of image areas according to an image division algorithm;
obtaining mosaic color blocks from the plurality of image areas according to preset position information;
and obtaining a definition result corresponding to the image through calculating the number of the pixel points of the designated color in the mosaic color block.
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