CN111654695A - Camera module detection data management system - Google Patents
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Abstract
The invention relates to the technical field of image processing, in particular to a camera module detection data management system, which comprises: the acquisition module is used for acquiring to-be-processed experimental data obtained by a camera module detection experiment; the processing module is used for preprocessing the experimental data to be processed to obtain the experimental data to be detected; the rejecting module is used for rejecting single-point abnormal data in the experimental data to be detected; the verification module is used for verifying the experimental data to be detected to obtain a verification result; the judging module is used for judging whether the error between the data to be detected and the pre-stored preset detection data is within the range of the stored preset threshold value or not according to the verification result; and the storage module is used for storing the data to be detected. The invention eliminates single-point abnormal data while preprocessing and verifying the experimental data to be processed, thereby solving the technical problem that the single-point abnormal data in the digital signal can not be eliminated in the prior art.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a camera module detection data management system.
Background
The camera module is an assembly integrating a lens and an image processing circuit and provides an interface for the intelligent terminal to transmit shot image information. At present, camera modules are widely used in consumer electronics products, such as tablet computers, smart phones, and the like. In order to ensure the quality of the pictures shot by the camera, manufacturers can detect the camera module to obtain massive detection data. In order to improve the performance of the camera module, the detection data needs to be processed accordingly.
For the test of the camera module, the test is an electronic experiment in nature. In the process of testing the camera module, machine language which is unfamiliar to a worker is likely to appear, and partial deviation of experimental data can appear due to improper operation possibly existing in the experiment and influences of other factors such as unstable voltage and current. In this regard, document CN110795817A discloses a laboratory data processing method, comprising: acquiring to-be-processed experimental data obtained based on a target experiment in a laboratory; preprocessing to obtain experimental data to be detected; verifying the obtained experimental data to be detected; judging whether the data to be detected is consistent with pre-stored preset detection data or not according to a verification result of verifying the acquired experimental data to be detected, and if not, executing subsequent operation; screening test data to be detected inconsistent with preset test data, presetting and labeling target items in a target test corresponding to the screened test data to be detected, and transmitting the target items with preset labels and target information corresponding to the target items with preset labels to the mobile terminal.
Though, through carrying out preliminary treatment, verification, screening and preset mark to the experimental data of treating, can improve the reliability of handling camera module detection data. However, during the detection of the camera module, the a/D converter needs to convert the analog signal into a digital signal, for example, convert the analog voltage and current amount into digital voltage and current amount, and all subsequent processes are performed on the digital signal. If the working condition of the A/D converter is bad, interference factors such as electromagnetic interference and the like are easy to occur, so that single-point abnormal data appear in the converted digital signal, the subsequent data processing result is not reliable, and the single-point abnormal data appearing in the digital signal cannot be removed in the prior art.
Disclosure of Invention
The invention provides a camera module detection data management system, which solves the technical problem that single-point abnormal data appearing in digital signals cannot be eliminated in the prior art.
The basic scheme provided by the invention is as follows: camera module detects data management system includes:
the acquisition module is used for acquiring to-be-processed experimental data obtained by a camera module detection experiment;
the processing module is used for preprocessing the experimental data to be processed to obtain the experimental data to be detected;
the rejecting module is used for rejecting single-point abnormal data in the experimental data to be detected;
the verification module is used for verifying the experimental data to be detected to obtain a verification result;
the judging module is used for judging whether the error between the data to be detected and the pre-stored preset detection data is within the range of the stored preset threshold value or not according to the verification result;
and the storage module is used for storing the data to be detected.
The working principle and the advantages of the invention are as follows: the camera module detection test is completed, the test data are not directly stored, the test data to be processed are preprocessed, the noise influence is removed, the test data to be detected are obtained, and a high-quality data source is provided for subsequent processing. And then, single-point abnormal data in the experimental data to be detected, namely data which are abnormal large, abnormal small or greatly deviate from the average value, are removed, so that the reliability of subsequent data processing is improved. And finally, verifying the experimental data to be detected, and judging whether the error between the experimental data to be detected and the pre-stored preset detection data is within a preset threshold range according to a verification result, so that only the experimental data to be detected with the error within the preset threshold range is stored. Through the mode, the experimental data to be processed are preprocessed and verified, single-point abnormal data appearing in the digital signals are eliminated, and the reliability of processing the detection data of the camera module is greatly improved.
The invention eliminates single-point abnormal data while preprocessing and verifying the experimental data to be processed, thereby effectively solving the technical problem that the single-point abnormal data in the digital signal can not be eliminated in the prior art.
Further, the culling module includes:
the extraction unit is used for acquiring an actual sampling value of a sampling point in the experimental data to be detected;
the calculating unit is used for calculating an ideal sampling value corresponding to the actual sampling value of the sampling point and calculating a difference value of the subtraction between the actual sampling value and the ideal sampling value;
the judging unit is used for judging whether the actual sampling value is single-point abnormal data or not, and if the difference value between the actual sampling value and the ideal sampling value is larger than a difference preset threshold value, the actual sampling value is the single-point abnormal data;
the execution unit is used for replacing the actual sampling value with the calculated ideal sampling value when the actual sampling value is single-point abnormal data; otherwise, no operation is performed.
Has the advantages that: by the mode, compared with the original sampling point data of the sampling points, the single-point abnormal data can be effectively removed, and the method is particularly suitable for the single-point abnormal data of current and voltage.
Furthermore, the rejecting module also comprises a labeling unit which is used for labeling the actual sampling value which is replaced by the calculated ideal sampling value.
Has the advantages that: in this way, the actual sample values that have been replaced with the calculated ideal sample values can be identified, alerted, or further processed.
Further, the eliminating module also comprises a collecting unit used for collecting single-point abnormal data.
Has the advantages that: and collecting single-point abnormal data, and further analyzing whether misjudgment exists or not.
And further, carrying out interpolation calculation on ideal sampling values through actual sampling values of the front sampling point and the rear sampling point of the sampling point.
Has the advantages that: the ideal sampling value is calculated in an interpolation calculation mode, and compared with the method of directly and manually setting the ideal sampling value, the systematic performance in the test experiment process is considered, and the system error of data can be effectively reduced.
Further, the interpolation calculation method adopts a linear interpolation method or a Lagrange interpolation method.
Has the advantages that: the linear interpolation is an interpolation mode with an interpolation function of a first-order polynomial, the interpolation error of the linear interpolation on an interpolation node is zero, and compared with other interpolation modes, the linear interpolation has the characteristics of simplicity and convenience. Using lagrange interpolation, a polynomial can be found that takes the observed values exactly at each observed point.
Further, the preset threshold is expressed in percentage.
Has the advantages that: by percentage, the relative value can be obviously seen, and the sensitivity can be controlled by artificially setting the threshold value.
Further, the processing module includes:
the model unit is used for establishing a data processing model;
the format unit is used for formatting the experimental data to be processed based on the established data processing model;
and the filtering unit is used for filtering the to-be-processed experimental data after formatting processing based on the established data processing model.
Has the advantages that: by the mode, on one hand, the format of experimental data to be processed can be unified, and the data can be conveniently processed; on the other hand, the experimental data to be processed with larger deviation can be effectively filtered, and the accuracy of the experimental data to be processed is improved.
Further, the verification module includes:
the establishing unit is used for establishing a verification data model;
the characteristic unit is used for acquiring sample characteristics corresponding to the experimental data to be detected based on the established verification data model;
and the result unit is used for verifying the sample characteristics according to the acquired sample characteristics.
Has the advantages that: through the verification data of the different types of collection, the sample characteristics of the experimental data to be detected are formed, the experimental data to be detected are convenient to verify, and therefore the accuracy of processing the experimental data is improved.
Further, the acquisition module includes: the connecting unit is used for establishing connection with the output end of the experimental equipment; and the receiving unit is used for receiving the experimental data to be processed transmitted by the output end of the experimental equipment.
Has the advantages that: by the mode, the experimental data can be directly obtained conveniently and quickly, and the experimental data can be guaranteed not to be distorted.
Drawings
Fig. 1 is a block diagram of a system structure of a camera module inspection data management system according to an embodiment of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
The embodiment of the camera module detection data management system is basically as shown in the attached figure 1, and comprises the following components:
the acquisition module is used for acquiring to-be-processed experimental data obtained by a camera module detection experiment;
the processing module is used for preprocessing the experimental data to be processed to obtain the experimental data to be detected;
the rejecting module is used for rejecting single-point abnormal data in the experimental data to be detected;
the verification module is used for verifying the experimental data to be detected to obtain a verification result;
the storage module is used for judging whether the error between the data to be detected and the pre-stored preset detection data is within a preset threshold range or not according to the verification result, and storing the data to be detected if the error is within the preset threshold range; and if the data to be detected is not in the preset threshold range, the data to be detected is not stored.
In this embodiment, the producer who has the camera module tests the camera module, need gather experimental data when testing to store these experiments, so that follow-up analysis, thereby provide the basis for optimizing the performance of camera module. The acquisition module, the processing module, the rejection module, the verification module and the storage module are all integrated on one server, and the functions of the server are realized in a hardware additional program mode.
Firstly, an acquisition module acquires to-be-processed experimental data obtained by a camera module detection experiment.
And simultaneously, the camera module is tested, and experimental data such as voltage and current values are synchronously acquired. Specifically, the obtaining module comprises a connecting unit and a receiving unit, wherein the connecting unit is connected with the output end of the experimental device, and the receiving unit receives the experimental data to be processed transmitted by the output end of the experimental device. For example, be connected with the experimental facilities output through wired, wireless mode, like WIFI, bluetooth, data line, serial ports circuit etc.. Therefore, the experimental data to be processed can be conveniently acquired and received.
And then, preprocessing the experimental data to be processed by the processing module to obtain the experimental data to be detected.
After the experimental data to be processed is acquired and received, the experimental data to be processed needs to be preprocessed. Specifically, the processing module includes a model unit, a format unit, and a filtering unit. In the first step, the model unit builds a data processing model, for example, a data processing model is obtained by deep training of past experimental data through a neural network model. And secondly, formatting the experimental data to be processed by the format unit based on the established data processing model, for example, converting binary experimental data to be processed into corresponding decimal data. And thirdly, filtering the formatted to-be-processed experimental data by the filtering unit based on the established data processing model, for example, filtering out to-be-processed experimental data with larger deviation, wherein the deviation can be measured by standard deviation. By the mode, formats of the experimental data to be processed are unified, the experimental data to be processed with large deviation is filtered, and the required experimental data to be detected is obtained.
Then, the eliminating module eliminates single-point abnormal data in the experimental data to be detected;
during the detection of the camera module, the a/D converter needs to convert the analog signal into a digital signal, for example, convert the analog voltage and current into digital voltage and current, and all subsequent processing is performed on the digital signal. If the A/D converter, due to some interference factors such as electromagnetic interference, single-point abnormal data may appear in the converted digital signal. Therefore, it is necessary to eliminate the single-point abnormal data in the experimental data to be detected. Specifically, the rejection module comprises an extraction unit, a calculation unit, a judgment unit and an execution unit. Firstly, an extraction unit obtains actual sampling values of sampling points in experimental data to be detected, such as a voltage value of 0.8V and a current value of 0.05A. And secondly, calculating an ideal sampling value corresponding to the actual sampling value of the sampling point by the calculating unit, and calculating a difference value obtained by subtracting the actual sampling value and the ideal sampling value. In this embodiment, the ideal sampling value is interpolated by using the actual sampling values of the sampling points before and after the sampling point, and the interpolation mode may be linear interpolation or lagrangian interpolation. For example, for a voltage value, the actual sampling values of the front and rear sampling points are 0.72V and 0.9V, respectively, and an ideal sampling value of the sampling point is 0.81V by linear interpolation, so that the difference between the actual sampling value and the ideal sampling value is 0.01V. And thirdly, judging whether the actual sampling value is single-point abnormal data or not by the judging unit, and if the difference value between the actual sampling value and the ideal sampling value is larger than a preset threshold value of the difference value, judging that the actual sampling value is the single-point abnormal data. For example, the preset threshold of the difference value is expressed in percentage, and is 1%, and the difference value obtained by subtracting the actual sampling value and the ideal sampling value can be expressed in percentage as 1.25%, which is greater than the preset threshold of the difference value, so that the voltage value of the sampling point is single-point abnormal data. Fourthly, when the actual sampling value is single-point abnormal data, the execution unit replaces the actual sampling value with the calculated ideal sampling value, namely, replaces the voltage value of the sampling point by 0.81V for 0.8V, and updates the data; otherwise, no operation is performed. For example, if the ideal sample value obtained by interpolation is 0.805V, the difference value obtained by subtracting the actual sample value and the ideal sample value can be represented as 0.6% in percentage, and is smaller than the preset threshold value of the difference value, the data meets the requirement, and no operation is needed. Through the mode, single-point abnormal data in the experimental data to be detected can be completely removed.
And then, the verification module verifies the experimental data to be detected to obtain a verification result.
After all the single-point abnormal data in the experimental data to be detected are removed, verification is required. Specifically, the verification module includes a setup unit, a feature unit, and a result unit. Firstly, a verification data model is established by an establishing unit, and in the embodiment, the verification data model is established by adopting a neural network algorithm through target parameters, such as rated voltage, rated current, rated resistance and the like. And secondly, the characteristic unit acquires sample characteristics corresponding to the experimental data to be detected based on the established verification data model, wherein the sample characteristics are related indexes of the experimental data to be detected, such as the requirements of variance, standard deviation, overshoot and the like, and the standard deviation is not more than 0.04. And thirdly, the result unit verifies the sample characteristics according to the acquired sample characteristics, namely, whether the error between the data to be detected and the pre-stored preset detection data is within a preset threshold range is judged, for example, whether the error of the standard deviation of the voltage value exceeds 0.04 is judged.
Finally, the judging module judges whether the error between the data to be detected and the pre-stored preset detection data is within the range of the stored preset threshold value or not according to the verification result, and if the error is within the range of the stored preset threshold value, the storage module stores the data to be detected; and if the data to be detected is not in the range of the preset storage threshold, the storage module does not store the data to be detected.
For example, as for the standard deviation of the voltage value, the stored preset threshold is 0.04, the error between the data to be detected and the standard deviation of the pre-stored preset detection data is 0.02 and less than 0.04, and the data to be detected is stored within the range of the stored preset threshold; on the contrary, if the error of the standard deviation of the data to be detected and the pre-stored preset detection data is 0.08 and is greater than 0.04 and is not within the range of the stored preset threshold, which indicates that the reliability of the data to be detected is low, the data to be detected is not stored.
Example 2
The difference from the embodiment 1 is that the eliminating module further comprises a labeling unit and a collecting unit, wherein the labeling unit is used for labeling the actual sampling value which is replaced by the calculated ideal sampling value, thickening the font of 0.81V and changing the color of 0.81V into red; the collecting unit is used for collecting single-point abnormal data and collecting the single-point abnormal data of 0.805V.
Example 3
Compared with the embodiment 2, the device is different only in that the device further comprises a picture acquisition mechanism, a picture identification module, a control module, an illumination mechanism and an adjusting mechanism. Before carrying out the detection experiment to the camera module, carry out light compensation to according to actual conditions adjustment camera module position on the revolving stage, guarantee that the camera module does not deviate its station. Meanwhile, the embodiment is implemented based on the existing turntable mechanism, that is, the multistation mobile phone camera module detector disclosed in document CN 205377994U.
Particularly, the station of camera module on the revolving stage is located the radial of revolving stage, and photosensitive sensor has been placed to the camera module on the station of revolving stage, and the camera module is just placed on photosensitive sensor. If the position of the camera module on the rotating table does not deviate from the station, namely the camera module is positioned at a normal station, the camera module can just press and block the photosensitive sensor; on the contrary, if the position of the camera module on the rotating platform deviates from the station, the photosensitive sensor is exposed.
The picture acquisition mechanism comprises a camera and a bracket, the camera is fixed on the bracket, the bracket is welded on the rotating table, and the camera is positioned right above the camera module; the lighting mechanism comprises an LED lamp and a lamp holder, the LED lamp is fixed on the lamp holder, the lamp holder is welded on the rotating table, and the LED lamp is positioned right above the camera module; the image recognition module is specifically image recognition software, the control module is a single chip microcomputer, the adjusting mechanism comprises a controller and two air cylinders, and the two air cylinders are located in the circumferential direction of the rotating table and located on two sides of the camera module respectively.
The camera collects the picture of the position of the camera module on the rotating platform, the picture is sent to the picture identification module after collection is finished, and after the picture collected by the camera is received, the picture is identified, and whether black clusters appear in the picture is judged. The black group is also the black part of lacquer in the picture, and this black part of lacquer is because the skew has appeared in the position that the camera module was placed on the revolving stage for the camera module has blocked partial light, thereby the shade that appears.
If appear black group in the picture, show that the skew has appeared in the position that the camera module was placed on the revolving stage, need carry out light compensation, remove the position of camera module simultaneously. When black clusters appear in the picture, the singlechip controls to switch on a power switch of the LED lamp, and light compensation is carried out on the camera module through the light of the LED lamp; and the LED lamp is controlled to illuminate in a half-power state and then in a full-power state, so that the service life of the LED lamp is prolonged. Meanwhile, because the camera module deviates from the station on the rotating table, the photosensitive sensor is exposed, the light of the LED lamp irradiates on the photosensitive sensor, the photosensitive sensor receives the light and sends a signal to the controller, and the controller controls the cylinder to push the camera module to move until the camera module blocks the photosensitive sensor, namely the camera module recovers to the normal station.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Camera module detects data management system, its characterized in that includes:
the acquisition module is used for acquiring to-be-processed experimental data obtained by a camera module detection experiment;
the processing module is used for preprocessing the experimental data to be processed to obtain the experimental data to be detected;
the rejecting module is used for rejecting single-point abnormal data in the experimental data to be detected;
the verification module is used for verifying the experimental data to be detected to obtain a verification result;
the judging module is used for judging whether the error between the data to be detected and the pre-stored preset detection data is within the range of the stored preset threshold value or not according to the verification result;
and the storage module is used for storing the data to be detected.
2. The camera module inspection data management system of claim 1, wherein the culling module comprises:
the extraction unit is used for acquiring an actual sampling value of a sampling point in the experimental data to be detected;
the calculating unit is used for calculating an ideal sampling value corresponding to the actual sampling value of the sampling point and calculating a difference value of the subtraction between the actual sampling value and the ideal sampling value;
the judging unit is used for judging whether the actual sampling value is single-point abnormal data or not, and if the difference value between the actual sampling value and the ideal sampling value is larger than a difference preset threshold value, the actual sampling value is the single-point abnormal data;
the execution unit is used for replacing the actual sampling value with the calculated ideal sampling value when the actual sampling value is single-point abnormal data; otherwise, no operation is performed.
3. The system for managing the inspection data of camera modules according to claim 2, wherein the culling module further comprises a labeling unit for labeling the actual sample values replaced with the calculated ideal sample values.
4. The camera module inspection data management system of claim 3, wherein the culling module further comprises a collection unit for collecting single point anomaly data.
5. The camera module inspection data management system of claim 4, wherein the ideal sample value is interpolated from the actual sample values of the sample points before and after the sample point.
6. The system for managing the detection data of the camera module according to claim 5, wherein the interpolation calculation method employs a linear interpolation method or a Lagrangian interpolation method.
7. The camera module inspection data management system of claim 6, wherein the predetermined threshold is expressed as a percentage.
8. The camera module inspection data management system of claim 1, wherein the processing module comprises:
the model unit is used for establishing a data processing model;
the format unit is used for formatting the experimental data to be processed based on the established data processing model;
and the filtering unit is used for filtering the to-be-processed experimental data after formatting processing based on the established data processing model.
9. The camera module inspection data management system of claim 8, wherein the verification module comprises:
the establishing unit is used for establishing a verification data model;
the characteristic unit is used for acquiring sample characteristics corresponding to the experimental data to be detected based on the established verification data model;
and the result unit is used for verifying the sample characteristics according to the acquired sample characteristics.
10. The camera module inspection data management system of claim 9, wherein the acquisition module comprises:
the connecting unit is used for establishing connection with the output end of the experimental equipment;
and the receiving unit is used for receiving the experimental data to be processed transmitted by the output end of the experimental equipment.
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| CN112910086A (en) * | 2021-01-18 | 2021-06-04 | 国网山东省电力公司青岛供电公司 | Intelligent substation data verification method and system |
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| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 400900 the 3 building of the 207 electronic workshop of the electronic information industrial park, Chongqing. Applicant after: Shengtai Photoelectric Technology Co.,Ltd. Address before: 400900 the 3 building of the 207 electronic workshop of the electronic information industrial park, Chongqing. Applicant before: Chongqing Sheng Tai optoelectronic Co.,Ltd. |
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| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200911 |