CN117041533B - Mobile phone camera module fault detection system based on data analysis - Google Patents

Mobile phone camera module fault detection system based on data analysis Download PDF

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CN117041533B
CN117041533B CN202311289019.8A CN202311289019A CN117041533B CN 117041533 B CN117041533 B CN 117041533B CN 202311289019 A CN202311289019 A CN 202311289019A CN 117041533 B CN117041533 B CN 117041533B
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mobile phone
camera module
camera
chromaticity
scratch
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CN117041533A (en
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曾风平
徐亚林
周春熙
杨传奇
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Shenzhen Panfeng Precision Technology Co Ltd
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Shenzhen Panfeng Precision Technology Co Ltd
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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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/24—Arrangements for testing

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  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

The invention relates to the technical field of camera module fault detection, and particularly discloses a mobile phone camera module fault detection system based on data analysis. The method is used for solving the problems that complex faults are difficult to discover and diagnose in time, and most of camera modules depend on feedback of users when faults occur, so that the problem of using experience of the users is greatly reduced. Through testing and evaluating the surface quality of the camera module, the condition that the surface scratch and abrasion of the camera module affect the quality and definition of images and even cause functional failure is avoided, users can be ensured to obtain better photographing and camera experience, user satisfaction is improved, chromaticity matching evaluation indexes of pictures in various scenes are analyzed, the color reduction capability of the camera module corresponding to the mobile phone in different scenes is evaluated, the performance evaluation index of the camera module corresponding to the mobile phone is obtained, and the performance evaluation index of the camera module corresponding to the mobile phone is obtained according to the performance evaluation index of the camera module corresponding to the mobile phone.

Description

Mobile phone camera module fault detection system based on data analysis
Technical Field
The invention relates to the technical field of camera module fault detection, in particular to a mobile phone camera module fault detection system based on data analysis.
Background
The mobile phone camera module is a camera system built in the mobile phone and comprises a lens, a sensor, an image processing chip and other related components, and is responsible for photographing and shooting functions of the mobile phone, a generated optical image is projected onto the sensor through the lens, then the optical image is converted into an electric signal, the electric signal is converted into a digital signal through analog-to-digital conversion, and the digital signal is processed by a DSP and then sent to a mobile phone processor for processing and optimization.
The performance and the quality of the mobile phone camera module are vital to photographing and camera shooting experience of the mobile phone, along with continuous progress of technology, the functions and the performance of the mobile phone camera module are also continuously improved, higher quality images and more shooting options are provided for users, complex fault problems are difficult to be found and diagnosed in time in the detection of the mobile phone camera module currently, and most camera shooting modules rely on feedback of users when in fault, so that the use experience of the users is greatly reduced.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a mobile phone camera module fault detection system based on data analysis, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme: a mobile phone camera module fault detection system based on data analysis comprises:
the appearance detection module is used for detecting the appearance quality of the camera module corresponding to the mobile phone to obtain the appearance quality parameter of the camera module corresponding to the mobile phone, wherein the appearance quality parameter comprises: the apparent scratch number, the apparent scratch area, the wear resistance and the anti-falling degree are analyzed, and the apparent quality evaluation index of the camera module corresponding to the mobile phone is obtained.
Preferably, the apparent mass of the camera module corresponding to the mobile phone is detected, so as to obtain the apparent mass parameter of the camera module corresponding to the mobile phone, and the specific detection mode is as follows:
acquiring apparent images of camera modules corresponding to the mobile phone through the intelligent high-definition camera to obtain apparent images of camera modules corresponding to the mobile phone, extracting the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone from the apparent images of the camera modules corresponding to the mobile phone to obtain the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone, and accumulating the apparent scratch areas of the camera modules corresponding to the mobile phone to obtain the total apparent scratch areas of the camera modules corresponding to the mobile phone as the apparent scratch areas of the camera modules corresponding to the mobile phone;
extracting test parameters of the wear-resisting test corresponding to the mobile phone camera module from a system library, and carrying out wear-resisting test on the camera module corresponding to the mobile phone based on the test parameters of the wear-resisting test corresponding to the mobile phone camera module, so as to obtain a camera module corresponding to the tested mobile phone, and taking the camera module as a wear-resisting test camera module corresponding to the mobile phone;
acquiring a camera image of the wear-resisting test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the wear-resisting test camera module corresponding to the mobile phone;
extracting the scratch quantity of the mobile phone corresponding to the wear-resisting test camera module from the camera image of the mobile phone corresponding to the wear-resisting test camera module, uniformly arranging detection points at each scratch position of the mobile phone corresponding to the wear-resisting test camera module, and simultaneously obtaining the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module to obtain the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module;
and extracting the scratch number of the mobile phone corresponding to the wear-resisting test camera module from the camera image of the mobile phone corresponding to the wear-resisting test camera module, taking the scratch number as an HL.
Evenly arranging detection points at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, simultaneously obtaining scratch depths of each detection point at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, screening out maximum scratch depths and minimum scratch depths from the scratch depths, calculating average scratch depths, and obtaining maximum scratch depths, minimum scratch depths and average scratch depths at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, wherein the maximum scratch depths, the minimum scratch depths and the average scratch depths are respectively recorded as HH i max 、HH i min 、HH i avg . i is denoted as the number at each scratch, i=1, 2, …, n. Analyzing to obtain the wear resistance NM of the camera module corresponding to the mobile phone;
extracting test parameters of anti-drop tests corresponding to the mobile phone camera modules from a system library, and carrying out the anti-drop tests on the camera modules corresponding to the mobile phones based on the test parameters of the anti-drop tests corresponding to the mobile phone camera modules, so as to obtain the camera modules corresponding to the tested mobile phones, and taking the camera modules as anti-drop test camera modules corresponding to the mobile phones;
acquiring a camera image of the anti-falling test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the anti-falling test camera module corresponding to the mobile phone;
the number of the broken positions and the total broken area of the mobile phone corresponding to the anti-falling test camera shooting module are extracted from the camera images of the mobile phone corresponding to the anti-falling test camera shooting module, the number of the broken positions and the total broken area of the mobile phone corresponding to the anti-falling test camera shooting module are obtained, and the anti-falling degree KS of the mobile phone corresponding to the camera shooting module is obtained based on analysis.
Preferably, the apparent mass evaluation index of the camera module corresponding to the mobile phone is analyzed, so as to obtain the apparent mass evaluation index of the camera module corresponding to the mobile phone, and the specific analysis mode is as follows:
extracting the number of apparent scratches and the numerical value of the apparent scratch area of the camera module corresponding to the mobile phone from the apparent mass parameter of the camera module corresponding to the mobile phone, and respectively marking the number and the numerical value as BL and BS;
calculating scratch influence indexes HY, b1 and b2 of the corresponding camera module of the mobile phone according to the formula HY=BL×b1+BS×b2, wherein the scratch influence indexes are expressed as set weight factors;
according to the formula bz= (1/HY) ×b3+ (NM/NM 0 )×b4+(KS/KS 0 ) Calculating apparent mass evaluation indexes BZ, b3, b4 and b5 of camera corresponding to the mobile phone as set weight factors by using Xb 5, and NM 0 Expressed as a set reference wear resistance, KS 0 Indicated as the set reference fall resistance.
The performance detection module is used for detecting the performance parameters of the camera module corresponding to the mobile phone to obtain the performance parameters of the camera module corresponding to the mobile phone, and analyzing the performance evaluation index of the camera module corresponding to the mobile phone to obtain the performance evaluation index of the camera module corresponding to the mobile phone.
Preferably, the performance parameters of the camera module corresponding to the mobile phone are detected, so that the performance parameters of the camera module corresponding to the mobile phone are obtained, and the specific detection mode is as follows:
shooting the camera module corresponding to the mobile phone according to the set primary scene, secondary scene and tertiary scene to obtain a primary scene picture, a secondary scene picture and a tertiary scene picture of the camera module corresponding to the mobile phone; the set primary scene is as follows: shooting the camera module corresponding to the mobile phone against a piece of white paper under the light source of the incandescent lamp; the set secondary scene is: shooting the camera module corresponding to the mobile phone against a piece of white paper under the light source of the warm light lamp; the set three seasons are as follows: and shooting the camera module corresponding to the mobile phone against a piece of white paper under red light.
Uniformly arranging detection points on the primary scene pictures corresponding to the camera modules of the mobile phone to obtain detection points in the primary scene pictures corresponding to the camera modules of the mobile phone, and collecting the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone through a colorimeter to obtain the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone;
the method comprises the steps of performing similar analysis to obtain chromaticity of each detection point in a secondary scene picture of a camera module corresponding to the mobile phone and chromaticity of each detection point in a tertiary scene picture;
the chromaticity of each detection point in the primary scene picture, the chromaticity of each detection point in the secondary scene picture and the chromaticity of each detection point in the tertiary scene picture of the camera module corresponding to the mobile phone form the performance parameters of the camera module corresponding to the mobile phone.
Preferably, the performance evaluation index of the camera module corresponding to the mobile phone is analyzed, so as to obtain the performance evaluation index of the camera module corresponding to the mobile phone, and the specific analysis mode is as follows:
extracting chromaticity of each detection point in a primary scene picture of a camera module corresponding to the mobile phone from performance parameters of the camera module corresponding to the mobile phone, acquiring set reference chromaticity corresponding to the primary scene, comparing the chromaticity of each detection point in the primary scene picture of the camera module corresponding to the mobile phone with the reference chromaticity corresponding to the primary scene, marking the detection point as a target point if the chromaticity of a certain detection point is larger than the reference chromaticity corresponding to the primary scene, marking the detection point as a mark point if the chromaticity of a certain detection point is smaller than the reference chromaticity corresponding to the primary scene, counting to obtain the number of the target points and the number of the mark points of the primary scene picture of the camera module corresponding to the mobile phone, and marking the number of the target points and the number of the mark points as YM and YB respectively;
extracting chromaticity of each target point in the primary scene picture of the camera module corresponding to the mobile phone from chromaticity of each detection point in the primary scene picture of the camera module corresponding to the mobile phone, and extracting the chromaticity of each target point in the primary scene picture of the camera module corresponding to the mobile phoneThe method comprises the steps of performing difference with reference chromaticity of a primary scene to obtain chromaticity difference of each target point in a primary scene picture of a corresponding camera module of the mobile phone, further performing summation calculation on the chromaticity difference to obtain total chromaticity difference of the target points in the primary scene picture of the corresponding camera module of the mobile phone, and recording the total chromaticity difference as MS 1 ；
Extracting the chromaticity of each mark point in the primary scene picture of the corresponding camera module of the mobile phone from the chromaticity of each detection point in the primary scene picture of the corresponding camera module of the mobile phone, and differencing the chromaticity with the reference chromaticity of the primary scene to obtain the chromaticity difference of each mark point in the primary scene picture of the corresponding camera module of the mobile phone, and further summing the chromaticity differences to obtain the total chromaticity difference of the mark points in the primary scene picture of the corresponding camera module of the mobile phone, which is recorded as BS 1 。
According to the formula yp= (1/YM) ×c1+ (1/YB) ×c2+ (1/MS) 1 )×c3+(1/BS 1 ) Calculating chromaticity matching evaluation indexes YP, c1, c2, c3 and c4 of the primary scene pictures of the camera corresponding to the camera module by using the Xc 4 as set evaluation factors;
similarly, analyzing to obtain the number of target points and the number of marked points of the secondary scene picture corresponding to the camera module of the mobile phone, the total chromaticity difference of the target points and the total chromaticity difference of the marked points, and analyzing to obtain a chromaticity matching evaluation index EP of the secondary scene picture corresponding to the camera module of the mobile phone;
similarly, analyzing to obtain the number of target points and the number of marked points of the three-level scene pictures corresponding to the camera module of the mobile phone, the total chromaticity difference of the target points and the total chromaticity difference of the marked points, and analyzing to obtain chromaticity matching evaluation indexes SP of the three-level scene pictures corresponding to the camera module of the mobile phone;
according to the formula XG=YP×b6+EP×b7+SP×b8, the performance evaluation indexes XG, b6, b7 and b8 of the corresponding camera module of the mobile phone are calculated and expressed as set weight factors.
The fault analysis module is used for analyzing the fault type of the camera module corresponding to the mobile phone based on the apparent mass evaluation index of the camera module corresponding to the mobile phone and the performance evaluation index of the camera module corresponding to the mobile phone, so as to obtain the fault type of the camera module corresponding to the mobile phone and send the fault type to the fault processing terminal;
preferably, the fault type of the camera module corresponding to the mobile phone is analyzed based on the apparent mass evaluation index of the camera module corresponding to the mobile phone and the performance evaluation index of the camera module corresponding to the mobile phone, so as to obtain the fault type of the camera module corresponding to the mobile phone, wherein the specific analysis mode is as follows:
comparing the apparent mass evaluation index of the camera module corresponding to the mobile phone with a set apparent mass evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the apparent mass type if the apparent mass evaluation index of the camera module corresponding to the mobile phone is smaller than the set apparent mass evaluation index threshold;
comparing the performance evaluation index of the camera module corresponding to the mobile phone with a set performance evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the performance type if the performance evaluation index of the camera module corresponding to the mobile phone is smaller than the set performance evaluation index threshold.
The fault processing terminal is used for receiving the fault type of the camera module corresponding to the mobile phone and carrying out corresponding processing based on the fault type of the camera module corresponding to the mobile phone.
In a specific embodiment, if the fault type of the camera module corresponding to the mobile phone is an apparent mass type, performing abnormal display on the apparent mass of the camera module corresponding to the mobile phone through a display in the fault processing terminal, wherein the abnormal display specifically includes: "the apparent mass of the camera module corresponding to the mobile phone has defects, and the mobile phone is required to be overhauled".
If the fault type of the camera module corresponding to the mobile phone is a performance type, the performance of the camera module corresponding to the mobile phone is displayed abnormally through a display in the fault processing terminal, and the specific display is as follows: "the cell-phone corresponds the performance of making a video recording the module and has the defect, please overhaul".
And the system library is used for storing the test parameters of the wear-resisting test corresponding to the mobile phone camera module and storing the test parameters of the anti-falling test corresponding to the mobile phone camera module.
It should be noted that, the test parameters of the wear-resisting test corresponding to the mobile phone camera module are specifically the limit test parameters of the wear-resisting test corresponding to the mobile phone camera module, wherein the limit test parameters are specifically hardness and sharpness of the test object and control force of the test object, and the test object is specifically a key, a coin, a chain and the like.
It should be noted that, the test parameters of the anti-crash test corresponding to the mobile phone camera module are specifically limit test parameters in the anti-crash test corresponding to the mobile phone camera module, where the limit test parameters are specifically test height and ground hardness.
The invention has the beneficial effects that:
1. according to the invention, the apparent mass of the camera module corresponding to the mobile phone is detected, the use condition of the camera module corresponding to the mobile phone in daily life is simulated, and the wear resistance and the anti-falling performance of the camera module corresponding to the mobile phone are tested and evaluated, so that a mobile phone manufacturer can be guided to improve the design and the material selection, the durability of the camera module is improved, and the service life of the camera module is prolonged;
2. the surface quality of the camera module is tested and evaluated, so that the condition that the surface scratch and abrasion of the camera module affect the quality and definition of an image and even cause functional failure is avoided, better photographing and camera experience can be ensured to be obtained for a user, and the satisfaction degree of the user is improved;
3. the color restoration capability of the camera module corresponding to the mobile phone under different scenes is estimated by analyzing the chromaticity matching estimation indexes of the pictures under each scene, the performance estimation index of the camera module corresponding to the mobile phone is obtained, and the performance estimation index of the camera module corresponding to the mobile phone is obtained according to the performance estimation index of the camera module corresponding to the mobile phone
4. The corresponding prompt information is displayed according to the fault type of the camera module corresponding to the mobile phone, so that the fault type of the camera module can be accurately judged, a technician can be helped to quickly locate the problem and carry out corresponding repair measures, and the maintenance efficiency is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a mobile phone camera module fault detection system based on data analysis, comprising: the system comprises an appearance detection module, a performance detection module, a fault analysis module, a fault processing terminal and a system library.
The apparent detection module detects the apparent mass of the camera module corresponding to the mobile phone to obtain apparent mass parameters of the camera module corresponding to the mobile phone, wherein the apparent mass parameters comprise: the specific detection steps comprise the following steps of:
acquiring apparent images of camera modules corresponding to the mobile phone through the intelligent high-definition camera to obtain apparent images of camera modules corresponding to the mobile phone, extracting the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone from the apparent images of the camera modules corresponding to the mobile phone to obtain the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone, and accumulating the apparent scratch areas of the camera modules corresponding to the mobile phone to obtain the total apparent scratch areas of the camera modules corresponding to the mobile phone as the apparent scratch areas of the camera modules corresponding to the mobile phone;
extracting test parameters of the wear-resisting test corresponding to the mobile phone camera module from a system library, and carrying out wear-resisting test on the camera module corresponding to the mobile phone based on the test parameters of the wear-resisting test corresponding to the mobile phone camera module, so as to obtain a camera module corresponding to the tested mobile phone, and taking the camera module as a wear-resisting test camera module corresponding to the mobile phone;
acquiring a camera image of the wear-resisting test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the wear-resisting test camera module corresponding to the mobile phone;
extracting the scratch quantity of the mobile phone corresponding to the wear-resisting test camera module from the camera image of the mobile phone corresponding to the wear-resisting test camera module, uniformly arranging detection points at each scratch position of the mobile phone corresponding to the wear-resisting test camera module, and simultaneously obtaining the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module to obtain the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module;
and extracting the scratch number of the mobile phone corresponding to the wear-resisting test camera module from the camera image of the mobile phone corresponding to the wear-resisting test camera module, taking the scratch number as an HL.
Evenly arranging detection points at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, simultaneously obtaining scratch depths of each detection point at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, screening out maximum scratch depths and minimum scratch depths from the scratch depths, calculating average scratch depths, and obtaining maximum scratch depths, minimum scratch depths and average scratch depths at each scratch position in the corresponding wear-resistant test camera module of the mobile phone, wherein the maximum scratch depths, the minimum scratch depths and the average scratch depths are respectively recorded as HH i max 、HH i min 、HH i avg . i is denoted as the number at each scratch, i=1, 2, …, n; n is the total number at each scratch.
According to the formulaAnd calculating the wear resistance NM of the camera corresponding to the camera module, wherein a1, a2, a3 and a4 are expressed as set weight factors.
Extracting test parameters of anti-drop tests corresponding to the mobile phone camera modules from a system library, and carrying out the anti-drop tests on the camera modules corresponding to the mobile phones based on the test parameters of the anti-drop tests corresponding to the mobile phone camera modules, so as to obtain the camera modules corresponding to the tested mobile phones, and taking the camera modules as anti-drop test camera modules corresponding to the mobile phones;
acquiring a camera image of the anti-falling test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the anti-falling test camera module corresponding to the mobile phone;
the number of the broken positions and the total broken area of the anti-falling test camera module corresponding to the mobile phone are extracted from the camera images of the anti-falling test camera module corresponding to the mobile phone, the number of the broken positions and the total broken area of the anti-falling test camera module corresponding to the mobile phone are obtained, and the values are respectively recorded as PL and PS.
According to the formula KS= (1/PL) x a5+ (1/PS) x a6, the anti-falling degree KS of the corresponding camera module of the mobile phone is calculated, and a5 and a6 are expressed as set weight factors.
The apparent mass evaluation index of the camera module corresponding to the mobile phone is analyzed, so that the apparent mass evaluation index of the camera module corresponding to the mobile phone is obtained, and the specific analysis steps are as follows:
extracting the number of apparent scratches and the numerical value of the apparent scratch area of the camera module corresponding to the mobile phone from the apparent mass parameter of the camera module corresponding to the mobile phone, and respectively marking the number and the numerical value as BL and BS;
calculating scratch influence indexes HY, b1 and b2 of the corresponding camera module of the mobile phone according to the formula HY=BL×b1+BS×b2, wherein the scratch influence indexes are expressed as set weight factors;
according to the formula bz= (1/HY) ×b3+ (NM/NM 0 )×b4+(KS/KS 0 ) Calculating apparent mass evaluation indexes BZ, b3, b4 and b5 of camera corresponding to the mobile phone as set weight factors by using Xb 5, and NM 0 Expressed as a set reference wear resistance, KS 0 Indicated as the set reference fall resistance.
The performance detection module detects the performance parameters of the camera module corresponding to the mobile phone to obtain the performance parameters of the camera module corresponding to the mobile phone, and the specific detection steps are as follows:
shooting the camera module corresponding to the mobile phone according to the set primary scene, secondary scene and tertiary scene to obtain a primary scene picture, a secondary scene picture and a tertiary scene picture of the camera module corresponding to the mobile phone; the set primary scene is as follows: shooting the camera module corresponding to the mobile phone against a piece of white paper under the light source of the incandescent lamp; the set secondary scene is: shooting the camera module corresponding to the mobile phone against a piece of white paper under the light source of the warm light lamp; the set three seasons are as follows: and shooting the camera module corresponding to the mobile phone against a piece of white paper under red light.
Uniformly arranging detection points on the primary scene pictures corresponding to the camera modules of the mobile phone to obtain detection points in the primary scene pictures corresponding to the camera modules of the mobile phone, and collecting the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone through a colorimeter to obtain the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone;
and uniformly distributing detection points on the secondary scene pictures corresponding to the camera module of the mobile phone to obtain detection points in the secondary scene pictures corresponding to the camera module of the mobile phone, and collecting the chromaticity of the detection points in the secondary scene pictures corresponding to the camera module of the mobile phone through a colorimeter to obtain the chromaticity of the detection points in the secondary scene pictures corresponding to the camera module of the mobile phone.
And uniformly distributing detection points on the three-level scene pictures corresponding to the camera module of the mobile phone to obtain detection points in the three-level scene pictures corresponding to the camera module of the mobile phone, and collecting the chromaticity of each detection point in the three-level scene pictures corresponding to the camera module of the mobile phone through a colorimeter to obtain the chromaticity of each detection point in the three-level scene pictures corresponding to the camera module of the mobile phone.
The chromaticity of each detection point in the primary scene picture, the chromaticity of each detection point in the secondary scene picture and the chromaticity of each detection point in the tertiary scene picture of the camera module corresponding to the mobile phone form the performance parameters of the camera module corresponding to the mobile phone.
Analyzing the performance evaluation index of the camera module corresponding to the mobile phone to obtain the performance evaluation index of the camera module corresponding to the mobile phone, wherein the specific analysis steps are as follows:
extracting chromaticity of each detection point in a primary scene picture of a camera module corresponding to the mobile phone from performance parameters of the camera module corresponding to the mobile phone, acquiring set reference chromaticity corresponding to the primary scene, comparing the chromaticity of each detection point in the primary scene picture of the camera module corresponding to the mobile phone with the reference chromaticity corresponding to the primary scene, marking the detection point as a target point if the chromaticity of a certain detection point is larger than the reference chromaticity corresponding to the primary scene, marking the detection point as a mark point if the chromaticity of a certain detection point is smaller than the reference chromaticity corresponding to the primary scene, counting to obtain the number of the target points and the number of the mark points of the primary scene picture of the camera module corresponding to the mobile phone, and marking the number of the target points and the number of the mark points as YM and YB respectively;
extracting the chromaticity of each target point in the primary scene picture of the corresponding camera module of the mobile phone from the chromaticity of each detection point in the primary scene picture of the corresponding camera module of the mobile phone, and differencing the chromaticity with the reference chromaticity of the primary scene to obtain the chromaticity difference of each target point in the primary scene picture of the corresponding camera module of the mobile phone, and further carrying out summation calculation to obtain the total chromaticity difference of the target points in the primary scene picture of the corresponding camera module of the mobile phone, which is recorded as MS 1 ；
Extracting the chromaticity of each mark point in the primary scene picture of the corresponding camera module of the mobile phone from the chromaticity of each detection point in the primary scene picture of the corresponding camera module of the mobile phone, and differencing the chromaticity with the reference chromaticity of the primary scene to obtain the chromaticity difference of each mark point in the primary scene picture of the corresponding camera module of the mobile phone, and further summing the chromaticity differences to obtain the total chromaticity difference of the mark points in the primary scene picture of the corresponding camera module of the mobile phone, which is recorded as BS 1 。
According to the formula yp= (1/YM) ×c1+ (1/YB) ×c2+ (1/MS) 1 )×c3+(1/BS 1 ) Calculating chromaticity matching evaluation indexes YP, c1, c2, c3 and c4 of the primary scene pictures of the camera corresponding to the camera module by using the Xc 4 as set evaluation factors;
extracting chromaticity of each detection point in a secondary scene picture of the camera module corresponding to the mobile phone from performance parameters of the camera module corresponding to the mobile phone, simultaneously obtaining set reference chromaticity corresponding to the secondary scene, comparing the chromaticity of each detection point in the secondary scene picture of the camera module corresponding to the mobile phone with the reference chromaticity corresponding to the secondary scene, marking the detection point as a target point if the chromaticity of a certain detection point is larger than the reference chromaticity corresponding to the secondary scene, marking the detection point as a mark point if the chromaticity of a certain detection point is smaller than the reference chromaticity corresponding to the secondary scene, counting to obtain the number of the target points and the number of the mark points of the secondary scene picture of the camera module corresponding to the mobile phone, and marking the number of the target points as EM and EB respectively.
Extracting two camera modules corresponding to the mobile phone from the chromaticity of each detection point in the two-level scene picture corresponding to the camera module of the mobile phoneChromaticity of each target point in the secondary scene picture is subjected to difference with reference chromaticity of the secondary scene to obtain chromaticity difference of each target point in the secondary scene picture of the corresponding camera module of the mobile phone, and then summation calculation is performed to obtain total chromaticity difference of the target points in the secondary scene picture of the corresponding camera module of the mobile phone, and the total chromaticity difference is recorded as MS 2 。
Extracting the chromaticity of each mark point in the secondary scene picture of the mobile phone corresponding to the camera module from the chromaticity of each detection point in the secondary scene picture of the camera module corresponding to the mobile phone, and differencing the chromaticity with the reference chromaticity of the secondary scene to obtain the chromaticity difference of each mark point in the secondary scene picture of the camera module corresponding to the mobile phone, further summing the chromaticity differences to calculate to obtain the total chromaticity difference of the mark points in the secondary scene picture of the camera module corresponding to the mobile phone, and marking the total chromaticity difference as BS 2 。
According to the formula ep= (1/EM) ×c5+ (1/EB) ×c6+ (1/MS) 2 )×c7+(1/BS 2 ) And calculating chromaticity matching evaluation indexes EP of the secondary scene pictures of the camera corresponding to the camera module by using the Xc 8, wherein c5, c6, c7 and c8 are expressed as set influence factors.
Extracting chromaticity of each detection point in the three-level scene picture of the camera module corresponding to the mobile phone from the performance parameters of the camera module corresponding to the mobile phone, simultaneously obtaining the set reference chromaticity corresponding to the three-level scene, comparing the chromaticity of each detection point in the three-level scene picture of the camera module corresponding to the mobile phone with the reference chromaticity corresponding to the three-level scene, marking the detection point as a target point if the chromaticity of a certain detection point is larger than the reference chromaticity corresponding to the three-level scene, marking the detection point as a mark point if the chromaticity of a certain detection point is smaller than the reference chromaticity corresponding to the three-level scene, counting to obtain the number of the target points and the number of the mark points of the three-level scene picture of the camera module corresponding to the mobile phone, and marking the number of the target points as SM and SB respectively.
Extracting chromaticity of each target point in the three-level scene picture of the mobile phone corresponding to the camera module from chromaticity of each detection point in the three-level scene picture of the mobile phone corresponding to the camera module, and performing difference between the chromaticity of each target point and reference chromaticity of the three-level scene to obtain chromaticity difference of each target point in the three-level scene picture of the mobile phone corresponding to the camera module, and further performing summation calculation,obtaining the total chromaticity difference of target points in the three-level scene pictures of the camera module corresponding to the mobile phone, and marking the total chromaticity difference as MS 3 。
Extracting the chromaticity of each mark point in the three-level scene picture of the mobile phone corresponding to the camera module from the chromaticity of each detection point in the three-level scene picture of the camera module corresponding to the mobile phone, and performing difference between the chromaticity of each mark point in the three-level scene picture of the camera module corresponding to the mobile phone and the reference chromaticity of the three-level scene to obtain the chromaticity difference of each mark point in the three-level scene picture of the camera module corresponding to the mobile phone, and further performing summation calculation to obtain the total chromaticity difference of the mark points in the three-level scene picture of the camera module corresponding to the mobile phone, which is recorded as BS 3 。
According to the formula sp= (1/SM) ×c9+ (1/SB) ×c10+ (1/MS) 3 )×c11+(1/BS 3 ) And the x c12 calculates chromaticity matching evaluation indexes SP, c9, c10, c11 and c12 of the three-level scene pictures of the camera corresponding to the mobile phone and shows the chromaticity matching evaluation indexes SP, c9, c10, c11 and c12 as set weight factors.
According to the formula XG=YP×b6+EP×b7+SP×b8, the performance evaluation indexes XG, b6, b7 and b8 of the corresponding camera module of the mobile phone are calculated and expressed as set weight factors.
The fault analysis module analyzes the fault type of the camera module corresponding to the mobile phone based on the apparent mass evaluation index of the camera module corresponding to the mobile phone and the performance evaluation index of the camera module corresponding to the mobile phone, obtains the fault type of the camera module corresponding to the mobile phone, and sends the fault type to the fault processing terminal, wherein the specific analysis steps are as follows:
comparing the apparent mass evaluation index of the camera module corresponding to the mobile phone with a set apparent mass evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the apparent mass type if the apparent mass evaluation index of the camera module corresponding to the mobile phone is smaller than the set apparent mass evaluation index threshold;
comparing the performance evaluation index of the camera module corresponding to the mobile phone with a set performance evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the performance type if the performance evaluation index of the camera module corresponding to the mobile phone is smaller than the set performance evaluation index threshold.
The fault processing terminal receives the fault type of the camera module corresponding to the mobile phone and carries out corresponding processing based on the fault type of the camera module corresponding to the mobile phone.
In a specific embodiment, if the fault type of the camera module corresponding to the mobile phone is an apparent mass type, performing abnormal display on the apparent mass of the camera module corresponding to the mobile phone through a display in the fault processing terminal, wherein the abnormal display specifically includes: "the apparent mass of the camera module corresponding to the mobile phone has defects, and the mobile phone is required to be overhauled".
If the fault type of the camera module corresponding to the mobile phone is a performance type, the performance of the camera module corresponding to the mobile phone is displayed abnormally through a display in the fault processing terminal, and the specific display is as follows: "the cell-phone corresponds the performance of making a video recording the module and has the defect, please overhaul".
The system stores the testing parameters of the wear-resisting test corresponding to the mobile phone camera module and stores the testing parameters of the anti-falling test corresponding to the mobile phone camera module.
It should be noted that, the test parameters of the wear-resisting test corresponding to the mobile phone camera module are specifically the limit test parameters of the wear-resisting test corresponding to the mobile phone camera module, wherein the limit test parameters are specifically hardness and sharpness of the test object and control force of the test object, and the test object is specifically a key, a coin, a chain and the like.
It should be noted that, the test parameters of the anti-crash test corresponding to the mobile phone camera module are specifically limit test parameters in the anti-crash test corresponding to the mobile phone camera module, where the limit test parameters are specifically test height and ground hardness.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.

Claims (5)

1. Mobile phone camera module fault detection system based on data analysis, its characterized in that includes:
the appearance detection module is used for detecting the appearance quality of the camera module corresponding to the mobile phone to obtain appearance quality parameters of the camera module corresponding to the mobile phone, wherein the appearance quality parameters comprise the number of appearance scratches, the area of the appearance scratches, the wear resistance and the anti-falling degree, and the appearance quality evaluation index of the camera module corresponding to the mobile phone is analyzed to obtain the appearance quality evaluation index of the camera module corresponding to the mobile phone;
the performance detection module is used for detecting the performance parameters of the camera module corresponding to the mobile phone to obtain the performance parameters of the camera module corresponding to the mobile phone, extracting the chromaticity of each detection point in the primary scene picture of the camera module corresponding to the mobile phone from the performance parameters of the camera module corresponding to the mobile phone, simultaneously obtaining the set reference chromaticity corresponding to the primary scene, comparing the chromaticity of each detection point in the primary scene picture of the camera module corresponding to the mobile phone with the reference chromaticity corresponding to the primary scene, if the chromaticity of a detection point is larger than the reference chromaticity corresponding to the primary scene, marking the detection point as a target point, and if the chromaticity of a detection point is smaller than the reference chromaticity corresponding to the primary scene, marking the detection point as a mark point, and counting the number of the target points and the number of mark points of the primary scene picture of the camera module corresponding to the mobile phone, and marking the number of the target points as YM and YB respectively;
extracting the chromaticity of each target point in the primary scene picture of the corresponding camera module of the mobile phone from the chromaticity of each detection point in the primary scene picture of the corresponding camera module of the mobile phone, and differencing the chromaticity with the reference chromaticity of the primary scene to obtain the chromaticity difference of each target point in the primary scene picture of the corresponding camera module of the mobile phone, and further carrying out summation calculation to obtain the total chromaticity difference of the target points in the primary scene picture of the corresponding camera module of the mobile phone, which is recorded as MS 1 The same analysis is carried out to obtain the total chromaticity difference of the mark points in the primary scene picture of the camera module corresponding to the mobile phone, and the total chromaticity difference is recorded as BS 1 ；
According to the formula yp= (1/YM) ×c1+ (1/YB) ×c2+ (1/MS) 1 )×c3+(1/BS 1 ) Calculating chromaticity matching evaluation indexes YP, c1, c2, c3 and c4 of the primary scene pictures of the camera corresponding to the camera module by using the Xc 4 as set evaluation factors;
similarly, analyzing to obtain the number of target points and the number of marked points of the secondary scene picture corresponding to the camera module of the mobile phone, the total chromaticity difference of the target points and the total chromaticity difference of the marked points, and analyzing to obtain a chromaticity matching evaluation index EP of the secondary scene picture corresponding to the camera module of the mobile phone;
similarly, analyzing to obtain the number of target points and the number of marked points of the three-level scene pictures corresponding to the camera module of the mobile phone, the total chromaticity difference of the target points and the total chromaticity difference of the marked points, and analyzing to obtain chromaticity matching evaluation indexes SP of the three-level scene pictures corresponding to the camera module of the mobile phone;
calculating a performance evaluation index XG of the camera module corresponding to the mobile phone according to a formula XG=YP xb6+EP xb7+SP xb 8, wherein b6, b7 and b8 are expressed as set weight factors;
the fault analysis module is used for analyzing the fault type of the camera module corresponding to the mobile phone based on the apparent mass evaluation index of the camera module corresponding to the mobile phone and the performance evaluation index of the camera module corresponding to the mobile phone, so as to obtain the fault type of the camera module corresponding to the mobile phone and send the fault type to the fault processing terminal;
the fault processing terminal is used for receiving the fault type of the camera module corresponding to the mobile phone and carrying out corresponding processing based on the fault type of the camera module corresponding to the mobile phone.
2. The mobile phone camera module fault detection system based on data analysis according to claim 1, wherein the specific detection mode for detecting the apparent mass of the mobile phone corresponding to the camera module is as follows:
acquiring apparent images of camera modules corresponding to the mobile phone through the intelligent high-definition camera to obtain apparent images of camera modules corresponding to the mobile phone, extracting the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone from the apparent images of the camera modules corresponding to the mobile phone to obtain the apparent scratch number and the apparent scratch areas of the camera modules corresponding to the mobile phone, and accumulating the apparent scratch areas of the camera modules corresponding to the mobile phone to obtain the total apparent scratch areas of the camera modules corresponding to the mobile phone as the apparent scratch areas of the camera modules corresponding to the mobile phone;
extracting test parameters of the wear-resisting test corresponding to the mobile phone camera module from a system library, and carrying out wear-resisting test on the camera module corresponding to the mobile phone based on the test parameters of the wear-resisting test corresponding to the mobile phone camera module, so as to obtain a camera module corresponding to the tested mobile phone, and taking the camera module as a wear-resisting test camera module corresponding to the mobile phone;
acquiring a camera image of the wear-resisting test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the wear-resisting test camera module corresponding to the mobile phone;
extracting the scratch quantity of the mobile phone corresponding to the wear-resisting test camera module from the camera image of the mobile phone corresponding to the wear-resisting test camera module, uniformly arranging detection points at each scratch position of the mobile phone corresponding to the wear-resisting test camera module, and simultaneously obtaining the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module to obtain the scratch depth of each detection point at each scratch position of the mobile phone corresponding to the wear-resisting test camera module;
obtaining the wear resistance NM of the camera module corresponding to the mobile phone based on scratch quantity of the camera module corresponding to the wear resistance test of the mobile phone and scratch depth analysis of each detection point at each scratch position;
extracting test parameters of anti-drop tests corresponding to the mobile phone camera modules from a system library, and carrying out the anti-drop tests on the camera modules corresponding to the mobile phones based on the test parameters of the anti-drop tests corresponding to the mobile phone camera modules, so as to obtain the camera modules corresponding to the tested mobile phones, and taking the camera modules as anti-drop test camera modules corresponding to the mobile phones;
acquiring a camera image of the anti-falling test camera module corresponding to the mobile phone through the intelligent high-definition camera to obtain a camera image of the anti-falling test camera module corresponding to the mobile phone;
the number of the broken positions and the total broken area of the mobile phone corresponding to the anti-falling test camera shooting module are extracted from the camera images of the mobile phone corresponding to the anti-falling test camera shooting module, the number of the broken positions and the total broken area of the mobile phone corresponding to the anti-falling test camera shooting module are obtained, and the anti-falling degree KS of the mobile phone corresponding to the camera shooting module is obtained based on analysis.
3. The mobile phone camera module fault detection system based on data analysis according to claim 2, wherein the specific analysis mode for analyzing the apparent mass evaluation index of the mobile phone corresponding to the camera module is as follows:
extracting the number of apparent scratches and the numerical value of the apparent scratch area of the camera module corresponding to the mobile phone from the apparent mass parameter of the camera module corresponding to the mobile phone, and respectively marking the number and the numerical value as BL and BS;
calculating scratch influence indexes HY, b1 and b2 of the corresponding camera module of the mobile phone according to the formula HY=BL×b1+BS×b2, wherein the scratch influence indexes are expressed as set weight factors;
according to the formula bz= (1/HY) ×b3+ (NM/NM 0 )×b4+(KS/KS 0 ) Calculating apparent mass evaluation indexes BZ, b3, b4 and b5 of camera corresponding to the mobile phone as set weight factors by using Xb 5, and NM 0 Expressed as a set reference wear resistance, KS 0 Indicated as the set reference fall resistance.
4. The mobile phone camera module fault detection system based on data analysis according to claim 3, wherein the specific detection mode for detecting the performance parameters of the mobile phone corresponding to the camera module is as follows:
shooting the camera module corresponding to the mobile phone according to the set primary scene, secondary scene and tertiary scene to obtain a primary scene picture, a secondary scene picture and a tertiary scene picture of the camera module corresponding to the mobile phone;
uniformly arranging detection points on the primary scene pictures corresponding to the camera modules of the mobile phone to obtain detection points in the primary scene pictures corresponding to the camera modules of the mobile phone, and collecting the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone through a colorimeter to obtain the chromaticity of the detection points in the primary scene pictures corresponding to the camera modules of the mobile phone;
the method comprises the steps of performing similar analysis to obtain chromaticity of each detection point in a secondary scene picture of a camera module corresponding to the mobile phone and chromaticity of each detection point in a tertiary scene picture;
the chromaticity of each detection point in the primary scene picture, the chromaticity of each detection point in the secondary scene picture and the chromaticity of each detection point in the tertiary scene picture of the camera module corresponding to the mobile phone form the performance parameters of the camera module corresponding to the mobile phone.
5. The data analysis-based mobile phone camera module fault detection system according to claim 4, wherein the specific analysis mode for analyzing the fault type of the mobile phone corresponding to the camera module is as follows:
comparing the apparent mass evaluation index of the camera module corresponding to the mobile phone with a set apparent mass evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the apparent mass type if the apparent mass evaluation index of the camera module corresponding to the mobile phone is smaller than the set apparent mass evaluation index threshold;
comparing the performance evaluation index of the camera module corresponding to the mobile phone with a set performance evaluation index threshold, and judging that the fault type of the camera module corresponding to the mobile phone is the performance type if the performance evaluation index of the camera module corresponding to the mobile phone is smaller than the set performance evaluation index threshold.
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