CN109807083A - A kind of motor vehicle seat back recognition methods and system based on image analysis - Google Patents

A kind of motor vehicle seat back recognition methods and system based on image analysis Download PDF

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Publication number
CN109807083A
CN109807083A CN201910201179.XA CN201910201179A CN109807083A CN 109807083 A CN109807083 A CN 109807083A CN 201910201179 A CN201910201179 A CN 201910201179A CN 109807083 A CN109807083 A CN 109807083A
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Prior art keywords
backrest
submodule
ray
material picture
seat back
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CN201910201179.XA
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Inventor
李晓光
朱娟
肖萍萍
李长明
王金莉
郭亮
孙沫丽
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Changchun Guanghua University
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Changchun Guanghua University
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Priority to CN201910201179.XA priority Critical patent/CN109807083A/en
Publication of CN109807083A publication Critical patent/CN109807083A/en
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Abstract

The invention discloses a kind of motor vehicle seat back recognition methods and system based on image analysis, including information acquisition module, message processing module, execution module and operation module, the information acquisition module includes material picture acquisition and ray image acquisition, the message processing module includes material picture analysis, ray image analysis and processing data submodule, the execution module includes that display screen shows submodule, searchlight and information exchange submodule, the operation module includes secure log submodule, equipment uses and acquisition component is adjusted, structure of the invention is scientific and reasonable, it is safe and convenient to use, the material picture and ray inspection machine taken the photograph by camera record record the ray image taken the photograph, by analyzing and handling material picture and ray image, improve motor vehicle seat back damaging identification efficiency, caused by reducing because of material picture identification The case where substandard product is not rejected improves recognition efficiency.

Description

A kind of motor vehicle seat back recognition methods and system based on image analysis
Technical field
The present invention relates to technical field of automobile components, specially a kind of motor vehicle seat back identification side based on image analysis Method and system.
Background technique
Automobile is one of the important trip tool for facilitating people to go on a journey, the seat that automotive seat is taken when being by bus, automobile Seat provides for driver and conductor to be led to convenient for operation, the driving of comfortable safety and seating position in order to improve comfort when seating It crosses and needs to detect motor vehicle seat back and identified in headrest for automobile production and removal process for seat configuration headrest, Substandard product in automobile back is rejected, guarantees that production is sold and recycled the backrest sold and has good usability Can, but the identification of existing motor vehicle seat back is most to identify that detection efficiency is lower, is easy to appear mistake by staff's visual inspection The case where inspection, the equipment that material picture analysis is partially taken the photograph by record, it is difficult to judge motor vehicle seat back inside or unobvious position The omission of motor vehicle seat back defect is caused in the gap at place.
Summary of the invention
The present invention provides a kind of motor vehicle seat back recognition methods and system based on image analysis, can effectively solve It states and proposes that existing motor vehicle seat back identification majority identifies that detection efficiency is lower by staff's visual inspection in background technique, The case where being easy to appear erroneous detection, the equipment that material picture analysis is partially taken the photograph by record, it is difficult to judge inside motor vehicle seat back or Gap at unobvious position, the problem of causing the omission of motor vehicle seat back defect.
To achieve the above object, the invention provides the following technical scheme: a kind of motor vehicle seat back based on image analysis Identifying system, including information acquisition module, message processing module, execution module and operation module, the information acquisition module packet Include material picture acquisition and ray image acquisition, the message processing module include material picture analysis, ray image analysis and Data submodule is handled, the execution module includes that display screen shows submodule, searchlight and information exchange submodule, institute Stating operation module includes that secure log submodule, equipment use and acquisition component are adjusted;
The output end of the information acquisition module is connected with the input terminal of message processing module, the message processing module Output end is connected with the input terminal of execution module, and the message processing module and execution module are connected with each other with operation module, The output end of the operation module is connected with the input terminal of information acquisition module, the material picture analysis and ray image analysis Output end and handle data submodule input terminal connect.
According to the above technical scheme, the information acquisition module includes that material picture acquisition and ray image acquire, described Material picture acquisition is to shoot backrest to be identified from four direction by four cameras to generate image, and the ray image is adopted Collection is the Radiolucent backrest to be identified issued by ray inspection machine, and each component of backrest to be identified has difference Radiation absorption efficiency, the ray contrast phase film of transmission generates photosensitization and forms ray image.
According to the above technical scheme, the message processing module includes material picture analysis, ray image analysis and processing Data submodule, the material picture analysis includes backrest type identification and backrest failure evaluation, and the seat leans on Carrying on the back type identification is to be identified by the image processor based on SIFT algorithm to backrest type, and the backrest is broken Damage identification refers to the seat back surface damaging identification based on machine vision, and the ray image analysis refers to that ray image is shown Shadow area out, the shadow region be Radiolucent crack, hole and slag inclusion formed, and according to shadow area determine defect size, The thickness of shape and material.
According to the above technical scheme, the processing data submodule includes damage product accounting, damaged location and damaged condition, The damage product accounting refers to that substandard product accounts for total ratio, the damaged location in multiple motor vehicle seat backs to be identified Refer to the damaged location of lemon car backrest, the damaged condition refers to the defect size of lemon car backrest And defects count.
According to the above technical scheme, the execution module includes that display screen shows that submodule, searchlight and information are handed over Mutual submodule, the display screen show that submodule includes damage of product prompt and damage product damage information, and the damage of product mentions Show when referring to that multiple products to be identified are identified, is analyzed by material picture analysis and ray image, the product of damage is led to It crosses display screen to be shown, the damage product damage information shows the damage portion of the lemon car backrest by display screen Position, defect size and defects count, the searchlight are the unqualified seats finished in product by searchlight identification Unqualified backrest is moved out recycling by chair back, staff;
The information exchange submodule includes that data upload, the storage of data cloud and data are extracted, and the data upload is The data of data processing submodule are uploaded to cloud, the data cloud storage refers to that the data storage for being transferred to cloud carries out Storage, the data extraction refer to that staff extracts the data stored in memory, research of summarizing.
According to the above technical scheme, the operation module includes secure log submodule, equipment uses and acquisition component tune Section, the secure log submodule include job card certification, finger print identifying and cipher authentication, and the job card certification refers to work Job card with magnetic stripe is placed into identification machine magnetic stripe identification position by personnel, confirms job card by identification machine, described Finger print identifying refers to staff by thumb press identifier fingerprint recognition position, confirms whether fingerprint is work by identification machine Work blocks affiliated staff, and the cipher authentication refers to that staff inputs the corresponding password of job card account to identifier;
The equipment use refers to that staff according to equipment operation guide, equipment access power supply is gone forward side by side to exercise and is used, institute When stating acquisition component adjusting and referring to that camera and ray inspection machine position are changed by extraneous factor, staff visits camera and ray Hurt seat in the plane and set and is adjusted.
A kind of motor vehicle seat back recognition methods based on image analysis, includes the following steps:
S1, acquisition component position are adjusted: adjusting camera and ray inspection machine position according to backrest to be detected;
S2, the record of backrest image are taken the photograph: being taken the photograph backrest material picture by camera record, taken the photograph seat by ray inspection machine record Chair back ray image;
Image procossing is taken the photograph in S3, record: the processing of material picture and the processing of ray image obtain product information to be detected;
S4, backrest information are shown: being shown damage product by display screen and damaged the relevant information of product;
S5, damage recycling: searchlight damages backrest, and worker moves out recycling for backrest is damaged.
According to the above technical scheme, it is to check that camera and ray are visited before recognition detection that the acquisition component position, which is adjusted, Both hurt seat in the plane and set and whether change, and adjust position, reach record in kind take the photograph taken the photograph with ray record it is clear and accurate.
According to the above technical scheme, the material picture is based on SIFT algorithm to backrest type identification, the material object Backrest qualification degree identification of the image based on computer vision conspicuousness, suction of the ray image based on different material to ray Receive different carry out damaging identifications.
Compared with prior art, beneficial effects of the present invention: structure of the invention is scientific and reasonable, safe and convenient to use: passing through The material picture and ray inspection machine that camera record is taken the photograph record the ray image taken the photograph, by analyzing and handling material picture and ray diagram Picture improves motor vehicle seat back damaging identification efficiency, the feelings that substandard product is not rejected caused by reducing because of material picture identification Condition improves recognition efficiency, while by the shadow region of ray image, can determine that motor vehicle seat back defective locations, size sum number Amount, shows data by display screen, convenient for preferably carrying out classification processing to substandard product, while being provided with information Interaction submodule, the data that backrest identifies are stored, and are extracted data convenient for management level, are checked recognition result, and Summarize to the data of extraction, convenient for be better understood by batch to be identified motor vehicle seat back yields;And it is provided with Job card certification, finger print identifying and cipher authentication confirm user's identity after three's unification, and non-working person's operation is avoided to set It is standby, so avoid therefore caused by equipment damage or casualties, by searchlight damage backrest, to defect Motor vehicle seat back positioned, quickly looked for convenient for worker, and by damage backrest move out recycling, avoid equipment operation Personnel exchange error with damage product carrying personnel, cause to damage the situation that backrest carries mistake.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention It applies example to be used to explain the present invention together, not be construed as limiting the invention.
In the accompanying drawings:
Fig. 1 is system block diagram of the invention;
The step of Fig. 2 is the method for the present invention figure.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
Embodiment 1: as shown in Figure 1, the present invention provides a kind of technical solution, a kind of automotive seat based on image analysis is leaned on Identifying system is carried on the back, including information acquisition module, message processing module, execution module and operation module, information acquisition module include Material picture acquisition and ray image acquisition, message processing module include material picture analysis, ray image analysis and processing number According to submodule, execution module includes that display screen shows that submodule, searchlight and information exchange submodule, operation module include Secure log submodule, equipment use and acquisition component is adjusted;
The output end of information acquisition module is connected with the input terminal of message processing module, the output end of message processing module and The input terminal of execution module connects, message processing module and execution module and operation module interconnection, operation module it is defeated Outlet is connected with the input terminal of information acquisition module, and material picture is analyzed and the output end of ray image analysis is equal and handles data The connection of submodule input terminal.
According to the above technical scheme, information acquisition module includes material picture acquisition and ray image acquisition, material picture Acquisition is to shoot backrest to be identified from four direction by four cameras to generate image, and ray image acquisition is to pass through ray There is each component of the Radiolucent backrest to be identified that defectoscope issues, backrest to be identified different radiation absorptions to imitate Rate, the ray contrast phase film of transmission generate photosensitization and form ray image.
According to the above technical scheme, message processing module includes material picture analysis, ray image analysis and processing data Submodule, material picture analysis includes backrest type identification and backrest failure evaluation, and backrest type identification is Backrest type is identified by the image processor based on SIFT algorithm, backrest failure evaluation refers to based on machine The seat back surface damaging identification of device vision, ray image analysis refer to that ray image shows shadow area, which is Radiolucent crack, hole and slag inclusion are formed, and determine the size of defect, the thickness of shape and material according to shadow area.
According to the above technical scheme, processing data submodule includes damage product accounting, damaged location and damaged condition, damage Product accounting refers to that substandard product accounts for total ratio in multiple motor vehicle seat backs to be identified, and damaged location refers to unqualified vapour The damaged location of vehicle seat chair back, damaged condition refer to the defect size and defects count of lemon car backrest.
According to the above technical scheme, execution module includes that display screen shows submodule, searchlight and information exchange Module, display screen show submodule include damage of product prompt and damage product damage information, damage of product prompt refer to it is multiple to It when identification product is identified, is analyzed by material picture analysis and ray image, the product of damage is carried out by display screen It has been shown that, damage product damage information show the damaged location of the lemon car backrest, defect size and scarce by display screen Quantity is fallen into, searchlight is the unqualified backrest finished in product by searchlight identification, and staff will not Qualified backrest moves out recycling;
Information exchange submodule includes that data upload, the storage of data cloud and data are extracted, and data upload is will be at data The data of reason submodule are uploaded to cloud, and the storage of data cloud refers to that the data storage for being transferred to cloud is stored, and data mention It takes and refers to that staff extracts the data stored in memory, research of summarizing.
According to the above technical scheme, operation module includes secure log submodule, equipment uses and acquisition component is adjusted, peace The full submodule that logs in includes job card certification, finger print identifying and cipher authentication, and job card certification refers to that staff will have magnetic The job card of item is placed into identification machine magnetic stripe identification position, confirms that job card, finger print identifying refer to work by identification machine Personnel confirm whether fingerprint is the people that works belonging to job card by thumb press identifier fingerprint recognition position, by identification machine Member, cipher authentication refer to that staff inputs the corresponding password of job card account to identifier;
Equipment use refers to that staff according to equipment operation guide, equipment access power supply is gone forward side by side to exercise and is used, acquisition portion When part adjusting refers to that camera and ray inspection machine position are changed by extraneous factor, staff is to camera and ray inspection machine position It is adjusted.
Embodiment 2: as shown in Fig. 2, a kind of motor vehicle seat back recognition methods based on image analysis, including walk as follows It is rapid:
S1, acquisition component position are adjusted: adjusting camera and ray inspection machine position according to backrest to be detected;
S2, the record of backrest image are taken the photograph: being taken the photograph backrest material picture by camera record, taken the photograph seat by ray inspection machine record Chair back ray image;
Image procossing is taken the photograph in S3, record: the processing of material picture and the processing of ray image obtain product information to be detected;
S4, backrest information are shown: being shown damage product by display screen and damaged the relevant information of product;
S5, damage recycling: searchlight damages backrest, and worker moves out recycling for backrest is damaged.
According to the above technical scheme, it is to check camera and ray inspection machine before recognition detection that acquisition component position, which is adjusted, Whether position changes, and both adjusts position, reach record in kind take the photograph taken the photograph with ray record it is clear and accurate.
According to the above technical scheme, material picture is based on SIFT algorithm to backrest type identification, and material picture is based on The backrest qualification degree of computer vision conspicuousness identifies, ray image is damaged based on absorption of the different material to ray is different Bad identification.
Based on above-mentioned, the present invention has the advantages that penetrating of taking the photograph of the material picture and ray inspection machine record taken the photograph by camera record Line image improves motor vehicle seat back damaging identification efficiency, reduces because of reality by analyzing and handling material picture and ray image Substandard product the case where not rejecting caused by object image identifies, improve recognition efficiency, while by the shadow region of ray image, It can determine that motor vehicle seat back defective locations, size and number, data shown by display screen, convenient for preferably to not Qualified products carry out classification processing, while being provided with information exchange submodule, and the data that backrest identifies are stored, convenient for pipe It manages layer and extracts data, recognition result is checked, and summarizes to the data of extraction, convenient for being better understood by be identified batch The yields of secondary motor vehicle seat back;And it is provided with job card certification, finger print identifying and cipher authentication, confirm after three's unification User's identity, avoid non-working person operate equipment, and then avoid therefore caused by equipment damage or casualties, pass through spy Illuminator irradiation damage backrest, positions to having defective motor vehicle seat back, quickly looks for convenient for worker, and will damage Bad backrest moves out recycling, and equipment operator is avoided to exchange error with damage product carrying personnel, causes to damage backrest carrying The situation of mistake.
Finally, it should be noted that being not intended to restrict the invention the foregoing is merely preferred embodiment of the invention, to the greatest extent Present invention has been described in detail with reference to the aforementioned embodiments for pipe, for those skilled in the art, still can be with It modifies the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.It is all Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in guarantor of the invention Within the scope of shield.

Claims (9)

1. a kind of motor vehicle seat back identifying system based on image analysis, it is characterised in that: including information acquisition module, information Processing module, execution module and operation module, the information acquisition module include material picture acquisition and ray image acquisition, institute Stating message processing module includes that material picture analysis, ray image analysis and processing data submodule, the execution module include Display screen shows that submodule, searchlight and information exchange submodule, the operation module include secure log submodule, set It is standby to be adjusted using with acquisition component;
The output end of the information acquisition module is connected with the input terminal of message processing module, the output of the message processing module End is connected with the input terminal of execution module, and the message processing module and execution module are connected with each other with operation module, described The output end of operation module is connected with the input terminal of information acquisition module, and the material picture analysis is defeated with ray image analysis Outlet is connected with processing data submodule input terminal.
2. a kind of motor vehicle seat back identifying system based on image analysis according to claim 1, which is characterized in that institute Stating information acquisition module includes material picture acquisition and ray image acquisition, material picture acquisition be by four cameras from Four direction shoots backrest to be identified and generates image, and the ray image acquisition is the ray issued by ray inspection machine Through backrest to be identified, each component of backrest to be identified has different radiation absorption efficiency, the ray pair of transmission Photographic film generates photosensitization and forms ray image.
3. a kind of motor vehicle seat back identifying system based on image analysis according to claim 1, which is characterized in that institute Stating message processing module includes material picture analysis, ray image analysis and processing data submodule, the material picture analysis Including backrest type identification and backrest failure evaluation, the backrest type identification is by based on SIFT algorithm Image processor identify that the backrest failure evaluation refers to the seat based on machine vision to backrest type Backrest surface damaging identification, the ray image analysis refer to that ray image shows shadow area, which is Radiolucent Crack, hole and slag inclusion are formed, and determine the size of defect, the thickness of shape and material according to shadow area.
4. a kind of motor vehicle seat back identifying system based on image analysis according to claim 1, which is characterized in that institute Stating processing data submodule includes damage product accounting, damaged location and damaged condition, and the damage product accounting refers to multiple wait know Substandard product accounts for the ratio of sum in other motor vehicle seat back, and the damaged location refers to the damage of lemon car backrest Bad position, the damaged condition refer to the defect size and defects count of lemon car backrest.
5. a kind of motor vehicle seat back identifying system based on image analysis according to claim 1, which is characterized in that institute Stating execution module includes that display screen shows that submodule, searchlight and information exchange submodule, the display screen show submodule Block includes damage of product prompt and damage product damage information, and the damage of product prompt refers to that multiple products to be identified are identified When, it is analyzed by material picture analysis and ray image, the product of damage is shown by display screen, the damage product damage Bad information shows damaged location, defect size and the defects count of the lemon car backrest, the spy by display screen Illuminator irradiation is the unqualified backrest finished in product by searchlight identification, and staff leans on unqualified seat Back moves out recycling;
The information exchange submodule includes that data upload, the storage of data cloud and data are extracted, and the data upload is will to count It is uploaded to cloud according to the data of processing submodule, the data cloud storage refers to that the data storage for being transferred to cloud is deposited Storage, the data extraction refer to that staff extracts the data stored in memory, research of summarizing.
6. a kind of motor vehicle seat back identifying system based on image analysis according to claim 1, which is characterized in that institute Stating operation module includes that secure log submodule, equipment use and acquisition component are adjusted, and the secure log submodule includes work Make card certification, finger print identifying and cipher authentication, the job card certification refers to that staff places the job card with magnetic stripe Position is identified to identification machine magnetic stripe, confirms that job card, the finger print identifying refer to staff by thumb by identification machine Identifier fingerprint recognition position is pressed, confirms whether fingerprint is the affiliated staff of job card, the password by identification machine Certification refers to that staff inputs the corresponding password of job card account to identifier;
The equipment use refers to that staff according to equipment operation guide, equipment access power supply is gone forward side by side to exercise and is used, described to adopt When collection component adjusting refers to that camera and ray inspection machine position are changed by extraneous factor, staff is to camera and ray inspection machine Position is adjusted.
7. a kind of motor vehicle seat back recognition methods based on image analysis, which comprises the steps of:
S1, acquisition component position are adjusted: adjusting camera and ray inspection machine position according to backrest to be detected;
S2, the record of backrest image are taken the photograph: being taken the photograph backrest material picture by camera record, taken the photograph seat by ray inspection machine record and lean on Back reflection line image;
Image procossing is taken the photograph in S3, record: the processing of material picture and the processing of ray image obtain product information to be detected;
S4, backrest information are shown: being shown damage product by display screen and damaged the relevant information of product;
S5, damage recycling: searchlight damages backrest, and worker moves out recycling for backrest is damaged.
8. a kind of motor vehicle seat back recognition methods based on image analysis according to claim 7, which is characterized in that institute Stating acquisition component position and adjusting is to check whether camera and ray inspection machine position change before recognition detection, and adjust The two position, reach record in kind take the photograph taken the photograph with ray record it is clear and accurate.
9. a kind of motor vehicle seat back recognition methods based on image analysis according to claim 7, which is characterized in that institute It states material picture and is based on SIFT algorithm to backrest type identification, seat of the material picture based on computer vision conspicuousness The identification of backrest qualification degree, the ray image is based on the different carry out damaging identifications of absorption of the different material to ray.
CN201910201179.XA 2019-03-18 2019-03-18 A kind of motor vehicle seat back recognition methods and system based on image analysis Pending CN109807083A (en)

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