CN111915652A - Vehicle beauty maintenance intelligent service platform based on big data machine vision - Google Patents
Vehicle beauty maintenance intelligent service platform based on big data machine vision Download PDFInfo
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Abstract
The invention discloses a vehicle beauty maintenance intelligent service platform based on big data machine vision, which comprises an image acquisition module, an image processing module, a characteristic analysis module, a contour acquisition module, a contour analysis module, a vehicle paint color detection module, a vehicle paint color difference analysis module, a scratch depth detection module, a scratch depth analysis module, a control server, a manual service platform and a storage database, wherein the image acquisition module is used for acquiring a plurality of images; according to the method, the type of the vehicle to be maintained is analyzed through image acquisition, the flushing amplitude of the water gun is adjusted to clean the corresponding type of vehicle, the vehicle model number corresponding to the vehicle model of the type of vehicle is screened, the unmatched area of the vehicle is compared and counted, the scratch grade of the unmatched area is analyzed, the vehicle paint color of the vehicle to be maintained is detected, the vehicle paint color difference value of the unmatched area is calculated, the vehicle paint color is allocated, and meanwhile relevant personnel perform corresponding processing according to different scratch grades, so that the vehicle beauty maintenance cost is reduced, and the overall attractiveness of the vehicle is improved.
Description
Technical Field
The invention relates to the field of vehicle beauty maintenance service, in particular to a vehicle beauty maintenance intelligent service platform based on big data machine vision.
Background
Vehicles are common vehicles in people's daily life. As society develops, automobiles are used more and more frequently, but are likely to be scratched or accidentally damaged during use of the automobiles, so that cosmetic care is required.
At present, there are a lot of weak points in current cosmetic maintenance service of vehicle ubiquitous, current carwash service is usually through artifical range estimation vehicle size, control carwash round brush removes the position that corresponds and washs, this kind of cleaning method is comparatively extensive, not only lead to the unable sanitization of part motorcycle type, still can cause the automobile body finish to take place the mar, thereby increase car owner's repair cost, and can't accurate judgement finish mar degree through artifical range estimation, there is the improper automobile body mar department that leads to of repair mode to rust, current automobile body repair paint service all dispatches the car lacquer colour through personnel's working experience simultaneously, the colour difference is too big between existence and the automobile body finish colour, thereby influence the general pleasing to the eye of vehicle, in order to solve above problem, the cosmetic maintenance intelligent service platform of vehicle based on big data machine vision of existing design.
Disclosure of Invention
The invention aims to provide a vehicle beauty maintenance intelligent service platform based on big data machine vision, the vehicle beauty maintenance intelligent service platform comprehensively analyzes the type of a vehicle to be maintained through an image acquisition module, an image processing module and a characteristic analysis module, adjusts the flushing amplitude of a water gun to clean the corresponding type of vehicle, screens the vehicle type number corresponding to the vehicle type of the type of vehicle through a contour acquisition module and a contour analysis module, contrasts and counts the unmatched area of the vehicle, detects and analyzes the scratch grade corresponding to the scratch depth of the unmatched area, detects the vehicle paint color of the vehicle to be maintained, calculates the vehicle paint color difference value of the unmatched area, allocates the vehicle paint color, and simultaneously carries out corresponding processing according to different scratch grades through related personnel, so that the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
a vehicle beauty maintenance intelligent service platform based on big data machine vision comprises an image acquisition module, an image processing module, a characteristic analysis module, a contour acquisition module, a contour analysis module, a vehicle paint color detection module, a vehicle paint color difference analysis module, a scratch depth detection module, a scratch depth analysis module, a control server, a manual service platform and a storage database;
the image acquisition module comprises a high-definition camera and is used for acquiring the shape of the vehicle to be maintained, acquiring the shape image of the vehicle to be maintained through the high-definition camera and sending the shape image of the vehicle to be maintained to the image processing module;
the image processing module is connected with the image acquisition module and used for receiving the appearance image of the vehicle to be maintained sent by the image acquisition module, screening the received appearance image of the vehicle to be maintained by using various different rectangular screening frames, extracting the smallest rectangle wrapping the appearance of the vehicle to be maintained, removing the image outside the rectangular area, carrying out graying processing and image enhancement processing on the reserved image of the rectangular area, and sending the appearance enhanced image of the vehicle to be maintained to the feature analysis module;
the feature analysis module is connected with the image processing module and used for receiving the appearance enhanced image of the vehicle to be maintained sent by the image processing module, extracting features of the appearance enhanced image of the vehicle to be maintained, extracting various types of vehicle appearance image features stored in the storage database, comparing the extracted appearance enhanced image features of the vehicle to be maintained with the stored various types of vehicle appearance image features, counting the similarity between the appearance enhanced image features of the vehicle to be maintained and the various types of vehicle appearance image features, screening the type of the vehicle to be maintained with the maximum similarity, and sending the screened type of the vehicle to be maintained to the control server;
the control server is connected with the characteristic analysis module and used for receiving the types of the vehicles to be maintained sent by the characteristic analysis module, extracting the water gun washing amplitude corresponding to the washing of the vehicles of various types stored in the storage database, screening the water gun washing amplitude corresponding to the washing of the vehicles to be maintained of the types, adjusting the washing amplitude of the water gun through the control server, carrying out all-around washing on the vehicles to be maintained of the corresponding types, drying the water on the surfaces of the cleaned vehicles through controlling the air gun, and sending the cleaned vehicles of the types to the contour acquisition module;
the contour acquisition module is connected with the control server and comprises a 3D scanner, the 3D scanner is used for receiving the cleaned type vehicle sent by the control server, the 3D scanner is used for carrying out laser scanning on the space appearance and the structure of the cleaned type vehicle to acquire point clouds on the surface of the cleaned type vehicle, a contour model of the cleaned type vehicle is constructed according to the density degree of the point clouds, and the contour model of the cleaned type vehicle is respectively sent to the contour analysis module and the control server;
the contour analysis module is connected with the contour acquisition module and used for receiving a contour model of the cleaned type vehicle sent by the contour acquisition module, extracting a standard contour model of a vehicle model corresponding to each vehicle model in each type of vehicle stored in a storage database, comparing the contour model of the cleaned type vehicle with the standard contour model of the vehicle model corresponding to each vehicle model in each type of vehicle stored in the storage database, counting the similarity of the contour model of the cleaned type vehicle and the standard contour model of the vehicle model corresponding to each vehicle model in the corresponding type of vehicle, screening the vehicle model number corresponding to the vehicle model of the cleaned type vehicle with the largest similarity, and sending the screened vehicle model number corresponding to the vehicle model of the cleaned type vehicle to the control server;
the control server is connected with the contour analysis module and used for receiving the contour model of the cleaned type vehicle sent by the contour acquisition module, receiving the vehicle model number corresponding to the vehicle model of the cleaned type vehicle sent by the contour analysis module, extracting the standard vehicle body surface model of each vehicle model stored in the storage database, comparing the contour model of the cleaned type vehicle with the standard vehicle body surface model of the corresponding vehicle model number, if the contour model of the cleaned type vehicle is matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is good, if the contour model of the cleaned type vehicle is not matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is damaged, counting the unmatched area of the damaged vehicle, and sending the unmatched area of the damaged vehicle to the scratch depth detection module, meanwhile, the area of the mismatching area of the vehicle with the damaged vehicle condition is counted and recorded as s1Sending the area of the unmatched area of the vehicle with the damaged vehicle condition to a vehicle paint color difference analysis module;
the scratch depth detection module is connected with the control server and comprises a scratch depth measuring instrument which is used for receiving the unmatched area of the vehicle with the damaged vehicle condition sent by the control server, carrying out scratch depth detection on the received unmatched area of the vehicle with the damaged vehicle condition, detecting the scratch depth of the unmatched area of the vehicle with the damaged vehicle condition through the scratch depth measuring instrument and sending the detected scratch depth of the unmatched area to the scratch depth analysis module;
the system comprises a scratch depth analysis module, a control server and a storage database, wherein the scratch depth analysis module is connected with the scratch depth analysis module and used for detecting the scratch depth of a mismatch area sent by the scratch depth detection module, extracting standard scratch depth ranges corresponding to various scratch grades stored in the storage database, comparing the scratch depth of the mismatch area with the standard scratch depth ranges corresponding to the various scratch grades stored, screening the scratch grades corresponding to the scratch depths of the mismatch area, and sending the screened scratch grades of the mismatch area to the control server;
the vehicle paint color detection module comprises a color detector, is used for detecting the vehicle paint color of the vehicle to be maintained, detects the vehicle paint color of the vehicle to be maintained through the color detector, and sends the detected vehicle paint color of the vehicle to be maintained to the vehicle paint color difference analysis module;
the vehicle paint color difference analysis module is respectively connected with the control server and the vehicle paint color detection module and is used for receiving the area of the unmatched area of the vehicle with the damaged vehicle condition sent by the control server, receiving the vehicle paint color of the vehicle to be maintained sent by the vehicle paint color detection module, extracting the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained stored in the storage database, calculating the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition, and sending the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition to the control server;
the control server is connected with the scratch depth analysis module and used for receiving the scratch grade of the unmatched area sent by the scratch depth analysis module, receiving the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition sent by the vehicle paint color difference analysis module, allocating the color of the vehicle paint according to the received vehicle paint color difference value of the unmatched area, correspondingly polishing the paint surface of the unmatched area according to different scratch grades, and sending the polished unmatched area to the manual service platform;
the storage database is respectively connected with the characteristic analysis module, the control server, the profile analysis module, the vehicle paint color difference analysis module and the scratch depth analysis module and is used for storing the appearance image characteristics of various types of vehicles, the various types of vehicles are respectively trucks, off-road vehicles, tractors, buses and cars, the flushing amplitude of a water gun corresponding to the cleaning of the various types of vehicles is stored at the same time, a standard profile model and a standard body surface model of the vehicle model corresponding to each type of vehicle are stored in the various types of vehicles, the vehicle models are respectively micro vehicles, small vehicles, compact vehicles, medium vehicles, high-class vehicles and luxury vehicles, the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained are stored, the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle model corresponding to the vehicle to be maintained are stored, and the standard scratch depth range corresponding to each scratch level is, each scratch grade is a micro scratch, a medium scratch and a deep scratch respectively;
the manual service platform is connected with the control server and used for receiving the polished unmatched area sent by the control server, displaying the polished unmatched area, informing personnel of processing the polished unmatched area, waxing the paint surface in the unmatched area with the micro scratches, polishing the paint surface in the unmatched area with the micro scratches, and performing paint supplementing processing on the paint surface in the unmatched area with the deep scratches according to the color of the vehicle paint allocated by the control server;
further, the color detector represents the color of the paint by using a Lab color space in which L is lightness, + L is a white direction, -L is a black direction, and a, b are chromaticity coordinates in which + a is a red direction, -a is a green direction, + b is a yellow direction, -b is a blue direction, and the center is colorless;
further, the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition is calculated by the following formula
Δ E is expressed as the difference in vehicle paint color in the unmatched regions of the vehicle with compromised vehicle conditions, L1,a1,b1Respectively expressed as lightness, red-green value and yellow-blue value, L, of the vehicle paint color of the vehicle to be maintainedSign board,aSign board,bSign boardRespectively expressed as lightness, red-green value and yellow-blue value of the standard vehicle paint color of the vehicle model corresponding to the vehicle to be maintained, AL,Aa,AbRespectively expressing the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle type corresponding to the vehicle to be maintained, wherein e is a natural number and is equal to 2.718, s1Area of unmatched zone, s, expressed as vehicle condition-impaired vehicleSign boardExpressed as the standard paint surface area of the corresponding vehicle model of the vehicle to be maintained.
Has the advantages that:
(1) the invention provides a vehicle beauty maintenance intelligent service platform based on big data machine vision, which comprehensively analyzes the type of a vehicle to be maintained through an image acquisition module, an image processing module and a characteristic analysis module, cleans the corresponding type of vehicle through a control server by adjusting the flushing amplitude of a water gun, ensures that all vehicle types can be cleaned, avoids the scratch problem caused by the contact with the paint surface of a vehicle body, reduces unnecessary fund waste, simultaneously screens the vehicle type number corresponding to the vehicle type of the type of vehicle through a contour acquisition module and a contour analysis module, compares and counts the unmatched area of the vehicle, detects and analyzes the scratch grade corresponding to the scratch depth of the unmatched area, performs corresponding polishing treatment according to different scratch grades, prevents the vehicle body from rusting due to improper polishing treatment, and simultaneously detects the paint color of the vehicle to be maintained, and calculating the color difference value of the vehicle paint in the unmatched area, and blending the color of the vehicle paint according to the color difference value of the vehicle paint to reduce the color difference between the color of the vehicle paint and the color of the vehicle body paint surface, so that the overall attractiveness of the vehicle is improved.
(2) According to the invention, the polished unmatched area is displayed through the manual service platform, related personnel are informed to wax the paint surface in the unmatched area with the micro scratches, the paint surface in the unmatched area with the micro scratches is polished, and paint supplementing treatment is carried out on the paint surface in the unmatched area with the deep scratches according to the vehicle paint color allocated by the control server, so that the vehicle beauty maintenance cost is reduced, and the service life of the overall paint surface of the vehicle is prolonged.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a vehicle beauty maintenance intelligent service platform based on big data machine vision comprises an image acquisition module, an image processing module, a feature analysis module, a contour acquisition module, a contour analysis module, a vehicle paint color detection module, a vehicle paint color difference analysis module, a scratch depth detection module, a scratch depth analysis module, a control server, a manual service platform and a storage database;
the image acquisition module comprises a high-definition camera and is used for acquiring the shape of the vehicle to be maintained, acquiring the shape image of the vehicle to be maintained through the high-definition camera and sending the shape image of the vehicle to be maintained to the image processing module;
the image processing module is connected with the image acquisition module and used for receiving the appearance image of the vehicle to be maintained sent by the image acquisition module, screening the received appearance image of the vehicle to be maintained by using various different rectangular screening frames, extracting the smallest rectangle wrapping the appearance of the vehicle to be maintained, removing the image outside the rectangular area, carrying out graying processing and image enhancement processing on the reserved image of the rectangular area, and sending the appearance enhanced image of the vehicle to be maintained to the feature analysis module;
the feature analysis module is connected with the image processing module and used for receiving the appearance enhanced image of the vehicle to be maintained sent by the image processing module, extracting features of the appearance enhanced image of the vehicle to be maintained, extracting various types of vehicle appearance image features stored in the storage database, comparing the extracted appearance enhanced image features of the vehicle to be maintained with the stored various types of vehicle appearance image features, counting the similarity between the appearance enhanced image features of the vehicle to be maintained and the various types of vehicle appearance image features, screening the type of the vehicle to be maintained with the maximum similarity, and sending the screened type of the vehicle to be maintained to the control server;
the control server is connected with the characteristic analysis module and used for receiving the types of the vehicles to be maintained sent by the characteristic analysis module, extracting the water gun washing amplitude corresponding to the washing of the vehicles of various types stored in the storage database, screening the water gun washing amplitude corresponding to the washing of the vehicles to be maintained of the type, adjusting the washing amplitude of the water gun through the control server, and performing all-around washing on the vehicles to be maintained of the corresponding type, so that all vehicle types can be cleaned, the scratch problem caused by the contact with the paint surface of the vehicle body is avoided, unnecessary fund waste is reduced, the water on the surface of the cleaned vehicles is dried through controlling the air gun, and the cleaned vehicles of the type are sent to the contour acquisition module;
the contour acquisition module is connected with the control server and comprises a 3D scanner, the 3D scanner is used for receiving the cleaned type vehicle sent by the control server, the 3D scanner is used for carrying out laser scanning on the space appearance and the structure of the cleaned type vehicle to acquire point clouds on the surface of the cleaned type vehicle, a contour model of the cleaned type vehicle is constructed according to the density degree of the point clouds, and the contour model of the cleaned type vehicle is respectively sent to the contour analysis module and the control server;
the contour analysis module is connected with the contour acquisition module and used for receiving a contour model of the cleaned type vehicle sent by the contour acquisition module, extracting a standard contour model of a vehicle model corresponding to each vehicle model in each type of vehicle stored in a storage database, comparing the contour model of the cleaned type vehicle with the standard contour model of the vehicle model corresponding to each vehicle model in each type of vehicle stored in the storage database, counting the similarity of the contour model of the cleaned type vehicle and the standard contour model of the vehicle model corresponding to each vehicle model in the corresponding type of vehicle, screening the vehicle model number corresponding to the vehicle model of the cleaned type vehicle with the largest similarity, and sending the screened vehicle model number corresponding to the vehicle model of the cleaned type vehicle to the control server;
the control server is connected with the contour analysis module and used for receiving the contour model of the cleaned type vehicle sent by the contour acquisition module, receiving the vehicle model number corresponding to the vehicle model of the cleaned type vehicle sent by the contour analysis module, extracting the standard vehicle body surface model of each vehicle model stored in the storage database, comparing the contour model of the cleaned type vehicle with the standard vehicle body surface model of the corresponding vehicle model number, if the contour model of the cleaned type vehicle is matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is good, if the contour model of the cleaned type vehicle is not matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is damaged, counting the unmatched area of the damaged vehicle, and sending the unmatched area of the damaged vehicle to the scratch depth detection module, meanwhile, the area of the mismatching area of the vehicle with the damaged vehicle condition is counted and recorded as s1Sending the area of the unmatched area of the vehicle with the damaged vehicle condition to a vehicle paint color difference analysis module;
the scratch depth detection module is connected with the control server and comprises a scratch depth measuring instrument which is used for receiving the unmatched area of the vehicle with the damaged vehicle condition sent by the control server, carrying out scratch depth detection on the received unmatched area of the vehicle with the damaged vehicle condition, detecting the scratch depth of the unmatched area of the vehicle with the damaged vehicle condition through the scratch depth measuring instrument and sending the detected scratch depth of the unmatched area to the scratch depth analysis module;
scratch depth analysis module is connected with scratch depth analysis module for the not regional scratch depth of mismatching that detection scratch depth detection module sent, the standard scratch depth scope that each scratch grade of storage corresponds in the extraction storage database, the standard scratch depth scope that each scratch grade that will not match the region corresponds with each scratch grade of storage compares, the screening does not match the scratch grade that the scratch depth of region corresponds, the not regional scratch grade that matches of screening sends the not regional scratch grade of matching of screening to control server.
The vehicle paint color detection module comprises a color detector, is used for detecting the vehicle paint color of the vehicle to be maintained, detects the vehicle paint color of the vehicle to be maintained through the color detector, and sends the detected vehicle paint color of the vehicle to be maintained to the vehicle paint color difference analysis module;
the color detector represents the color of the vehicle paint by adopting a Lab color space, wherein in the Lab color space, L is lightness, + L is a white direction, -L is a black direction, and a and b are chromaticity coordinates, wherein + a is a red direction, -a is a green direction, + b is a yellow direction, -b is a blue direction, and the center is colorless.
The vehicle paint color difference analysis module is respectively connected with the control server and the vehicle paint color detection module and used for receiving the area of the unmatched area of the vehicle with the damaged vehicle condition sent by the receiving control server, receiving the vehicle paint color of the vehicle to be maintained sent by the vehicle paint color detection module, extracting the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained stored in the storage database, calculating the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition, and calculating the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition according to the formula
Δ E is expressed as the difference in vehicle paint color in the unmatched regions of the vehicle with compromised vehicle conditions, L1,a1,b1Respectively expressed as lightness, red-green value and yellow-blue value, L, of the vehicle paint color of the vehicle to be maintainedSign board,aSign board,bSign boardAre respectively provided withBrightness, red-green value and yellow-blue value, A, expressed as the standard vehicle paint color for the vehicle type corresponding to the vehicle to be maintainedL,Aa,AbRespectively expressing the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle type corresponding to the vehicle to be maintained, wherein e is a natural number and is equal to 2.718, s1Area of unmatched zone, s, expressed as vehicle condition-impaired vehicleSign boardThe standard paint surface area is expressed as the corresponding vehicle model of the vehicle to be maintained, and the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition is sent to the control server;
control server is connected with mar degree of depth analysis module, a mar grade that is used for receiving the mismatch region that mar degree of depth analysis module sent, receive the car lacquer colour difference value that the car condition impaired vehicle that car lacquer colour difference analysis module sent simultaneously does not match the region, according to the colour of the car lacquer of the mismatch region colour difference value allotment car lacquer of receiving, reduce and the automobile body lacquer painting colour between the colour difference, thereby improve the totality pleasing to the eye of vehicle, simultaneously carry out the processing of polishing that corresponds to the lacquer painting in mismatch region according to the mar grade of difference, the prevention is polished and is handled improper and lead to the rust of automobile body mar department, mismatch region after will polishing sends to artifical service platform.
The storage database is respectively connected with the characteristic analysis module, the control server, the profile analysis module, the vehicle paint color difference analysis module and the scratch depth analysis module and is used for storing the appearance image characteristics of various types of vehicles, the various types of vehicles are respectively trucks, off-road vehicles, tractors, buses and cars, the flushing amplitude of a water gun corresponding to the cleaning of the various types of vehicles is stored at the same time, a standard profile model and a standard body surface model of the vehicle model corresponding to each type of vehicle are stored in the various types of vehicles, the vehicle models are respectively micro vehicles, small vehicles, compact vehicles, medium vehicles, high-class vehicles and luxury vehicles, the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained are stored, the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle model corresponding to the vehicle to be maintained are stored, and the standard scratch depth range corresponding to each scratch level is, each scratch grade is a micro scratch, a medium scratch and a deep scratch respectively;
artifical service platform is connected with control server for receive the unmatched region after polishing that control server sent, and show, inform personnel to handle the unmatched region after polishing simultaneously, the processing of waxing is carried out to the lacquer painting in the unmatched region of minim mar, and polish the processing to the lacquer painting in the unmatched region of minim mar, the car lacquer colour according to control server allotment simultaneously, the lacquer painting is mended in the unmatched region to the degree of depth mar and is handled, the cost of the cosmetic maintenance of vehicle has been reduced, the life of the general lacquer painting of vehicle is improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (3)
1. The utility model provides a cosmetic maintenance intelligence service platform of vehicle based on big data machine vision which characterized in that: the system comprises an image acquisition module, an image processing module, a characteristic analysis module, a contour acquisition module, a contour analysis module, a vehicle paint color detection module, a vehicle paint color difference analysis module, a scratch depth detection module, a scratch depth analysis module, a control server, a manual service platform and a storage database;
the image acquisition module comprises a high-definition camera and is used for acquiring the shape of the vehicle to be maintained, acquiring the shape image of the vehicle to be maintained through the high-definition camera and sending the shape image of the vehicle to be maintained to the image processing module;
the image processing module is connected with the image acquisition module and used for receiving the appearance image of the vehicle to be maintained sent by the image acquisition module, screening the received appearance image of the vehicle to be maintained by using various different rectangular screening frames, extracting the smallest rectangle wrapping the appearance of the vehicle to be maintained, removing the image outside the rectangular area, carrying out graying processing and image enhancement processing on the reserved image of the rectangular area, and sending the appearance enhanced image of the vehicle to be maintained to the feature analysis module;
the feature analysis module is connected with the image processing module and used for receiving the appearance enhanced image of the vehicle to be maintained sent by the image processing module, extracting features of the appearance enhanced image of the vehicle to be maintained, extracting various types of vehicle appearance image features stored in the storage database, comparing the extracted appearance enhanced image features of the vehicle to be maintained with the stored various types of vehicle appearance image features, counting the similarity between the appearance enhanced image features of the vehicle to be maintained and the various types of vehicle appearance image features, screening the type of the vehicle to be maintained with the maximum similarity, and sending the screened type of the vehicle to be maintained to the control server;
the control server is connected with the characteristic analysis module and used for receiving the types of the vehicles to be maintained sent by the characteristic analysis module, extracting the water gun washing amplitude corresponding to the washing of the vehicles of various types stored in the storage database, screening the water gun washing amplitude corresponding to the washing of the vehicles to be maintained of the types, adjusting the washing amplitude of the water gun through the control server, carrying out all-around washing on the vehicles to be maintained of the corresponding types, drying the water on the surfaces of the cleaned vehicles through controlling the air gun, and sending the cleaned vehicles of the types to the contour acquisition module;
the contour acquisition module is connected with the control server and comprises a 3D scanner, the 3D scanner is used for receiving the cleaned type vehicle sent by the control server, the 3D scanner is used for carrying out laser scanning on the space appearance and the structure of the cleaned type vehicle to acquire point clouds on the surface of the cleaned type vehicle, a contour model of the cleaned type vehicle is constructed according to the density degree of the point clouds, and the contour model of the cleaned type vehicle is respectively sent to the contour analysis module and the control server;
the contour analysis module is connected with the contour acquisition module and used for receiving a contour model of the cleaned type vehicle sent by the contour acquisition module, extracting a standard contour model of a vehicle model corresponding to each vehicle model in each type of vehicle stored in a storage database, comparing the contour model of the cleaned type vehicle with the standard contour model of the vehicle model corresponding to each vehicle model in each type of vehicle stored in the storage database, counting the similarity of the contour model of the cleaned type vehicle and the standard contour model of the vehicle model corresponding to each vehicle model in the corresponding type of vehicle, screening the vehicle model number corresponding to the vehicle model of the cleaned type vehicle with the largest similarity, and sending the screened vehicle model number corresponding to the vehicle model of the cleaned type vehicle to the control server;
the control server is connected with the contour analysis module and used for receiving the contour model of the cleaned type vehicle sent by the contour acquisition module, receiving the vehicle model number corresponding to the vehicle model of the cleaned type vehicle sent by the contour analysis module, extracting the standard vehicle body surface model of each vehicle model stored in the storage database, comparing the contour model of the cleaned type vehicle with the standard vehicle body surface model of the corresponding vehicle model number, if the contour model of the cleaned type vehicle is matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is good, if the contour model of the cleaned type vehicle is not matched with the standard vehicle body surface model of the corresponding vehicle model number, indicating that the vehicle condition of the vehicle is damaged, counting the unmatched area of the damaged vehicle, and sending the unmatched area of the damaged vehicle to the scratch depth detection module, meanwhile, the area of the mismatching area of the vehicle with the damaged vehicle condition is counted and recorded as s1Sending the area of the unmatched area of the vehicle with the damaged vehicle condition to a vehicle paint color difference analysis module;
the scratch depth detection module is connected with the control server and comprises a scratch depth measuring instrument which is used for receiving the unmatched area of the vehicle with the damaged vehicle condition sent by the control server, carrying out scratch depth detection on the received unmatched area of the vehicle with the damaged vehicle condition, detecting the scratch depth of the unmatched area of the vehicle with the damaged vehicle condition through the scratch depth measuring instrument and sending the detected scratch depth of the unmatched area to the scratch depth analysis module;
the system comprises a scratch depth analysis module, a control server and a storage database, wherein the scratch depth analysis module is connected with the scratch depth analysis module and used for detecting the scratch depth of a mismatch area sent by the scratch depth detection module, extracting standard scratch depth ranges corresponding to various scratch grades stored in the storage database, comparing the scratch depth of the mismatch area with the standard scratch depth ranges corresponding to the various scratch grades stored, screening the scratch grades corresponding to the scratch depths of the mismatch area, and sending the screened scratch grades of the mismatch area to the control server;
the vehicle paint color detection module comprises a color detector, is used for detecting the vehicle paint color of the vehicle to be maintained, detects the vehicle paint color of the vehicle to be maintained through the color detector, and sends the detected vehicle paint color of the vehicle to be maintained to the vehicle paint color difference analysis module;
the vehicle paint color difference analysis module is respectively connected with the control server and the vehicle paint color detection module and is used for receiving the area of the unmatched area of the vehicle with the damaged vehicle condition sent by the control server, receiving the vehicle paint color of the vehicle to be maintained sent by the vehicle paint color detection module, extracting the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained stored in the storage database, calculating the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition, and sending the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition to the control server;
the control server is connected with the scratch depth analysis module and used for receiving the scratch grade of the unmatched area sent by the scratch depth analysis module, receiving the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition sent by the vehicle paint color difference analysis module, allocating the color of the vehicle paint according to the received vehicle paint color difference value of the unmatched area, correspondingly polishing the paint surface of the unmatched area according to different scratch grades, and sending the polished unmatched area to the manual service platform;
the storage database is respectively connected with the characteristic analysis module, the control server, the profile analysis module, the vehicle paint color difference analysis module and the scratch depth analysis module and is used for storing the appearance image characteristics of various types of vehicles, the various types of vehicles are respectively trucks, off-road vehicles, tractors, buses and cars, the flushing amplitude of a water gun corresponding to the cleaning of the various types of vehicles is stored at the same time, a standard profile model and a standard body surface model of the vehicle model corresponding to each type of vehicle are stored in the various types of vehicles, the vehicle models are respectively micro vehicles, small vehicles, compact vehicles, medium vehicles, high-class vehicles and luxury vehicles, the standard vehicle paint color and the standard paint surface area of the vehicle model corresponding to the vehicle to be maintained are stored, the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle model corresponding to the vehicle to be maintained are stored, and the standard scratch depth range corresponding to each scratch level is, each scratch grade is a micro scratch, a medium scratch and a deep scratch respectively;
artifical service platform is connected with control server for receive the unmatched region after polishing that control server sent, and show, inform personnel simultaneously and handle the unmatched region after polishing, to the not matched region in miniwatt mar the finish waxing is handled, and polish the finish in the unmatched region of miniwatt mar to the finish carries out polishing treatment in the unmatched region of miniwatt mar, according to the car lacquer colour of control server allotment simultaneously, carries out the touch-up paint to the finish in the unmatched region of degree of depth mar.
2. The vehicle beauty maintenance intelligent service platform based on big data machine vision according to claim 1, characterized in that: the color detector represents the color of the vehicle paint by adopting a Lab color space, wherein in the Lab color space, L is lightness, + L is a white direction, -L is a black direction, and a and b are chromaticity coordinates, wherein + a is a red direction, -a is a green direction, + b is a yellow direction, -b is a blue direction, and the center is colorless.
3. The vehicle beauty maintenance intelligent service platform based on big data machine vision according to claim 1, characterized in that: the calculation formula of the vehicle paint color difference value of the unmatched area of the vehicle with the damaged vehicle condition is
Δ E is expressed as the difference in vehicle paint color in the unmatched regions of the vehicle with compromised vehicle conditions, L1,a1,b1Respectively expressed as lightness, red-green value and yellow-blue value, L, of the vehicle paint color of the vehicle to be maintainedSign board,aSign board,bSign boardRespectively expressed as lightness, red-green value and yellow-blue value of the standard vehicle paint color of the vehicle model corresponding to the vehicle to be maintained, AL,Aa,AbRespectively expressing the brightness correction coefficient, the red-green value correction coefficient and the yellow-blue value correction coefficient of the standard vehicle paint color of the vehicle type corresponding to the vehicle to be maintained, wherein e is a natural number and is equal to 2.718, s1Area of unmatched zone, s, expressed as vehicle condition-impaired vehicleSign boardExpressed as the standard paint surface area of the corresponding vehicle model of the vehicle to be maintained.
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| CN112428960A (en) * | 2020-12-18 | 2021-03-02 | 青海慧洗智能科技有限公司 | Self-adaptive car roof contour car washing method, system and device |
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