CN117132300A - Image recognition-based scraped car evaluation system - Google Patents
Image recognition-based scraped car evaluation system Download PDFInfo
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- CN117132300A CN117132300A CN202310935943.2A CN202310935943A CN117132300A CN 117132300 A CN117132300 A CN 117132300A CN 202310935943 A CN202310935943 A CN 202310935943A CN 117132300 A CN117132300 A CN 117132300A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 49
- 239000003973 paint Substances 0.000 claims abstract description 41
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000007781 pre-processing Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims description 16
- 230000001788 irregular Effects 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 7
- SAZUGELZHZOXHB-UHFFFAOYSA-N acecarbromal Chemical compound CCC(Br)(CC)C(=O)NC(=O)NC(C)=O SAZUGELZHZOXHB-UHFFFAOYSA-N 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000009897 systematic effect Effects 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0278—Product appraisal
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
Abstract
The application discloses an image recognition-based scraped car evaluation system, which particularly relates to an image acquisition module, a data preprocessing module, a data processing module, a data output module and a judging module, wherein the image acquisition module is used for converting scraped car image information into three-dimensional data image information, the data preprocessing module is used for acquiring target car paint parameters, target car frame parameters and driving equipment parameters of a target car from a three-dimensional data three-dimensional model in the image acquisition module, the comprehensive value coefficient of the target car is obtained through the data processing and data output module, the judging module is used for judging the data of the target car based on the comprehensive value coefficient of the target car, and the image recognition-based scraped car evaluation system fully utilizes advanced technology to improve evaluation efficiency and accuracy and provides better service for users.
Description
Technical Field
The application relates to the technical field of image processing, in particular to a scraped car evaluation system based on image recognition.
Background
The scrapped automobile evaluation system is a system for evaluating the scrapped value and safety of an automobile, and is characterized in that comprehensive analysis is carried out by scientific and systematic specialized inspection, test and survey means according to the automobile construction principle, and the scrapped automobile is subjected to scientific and systematic evaluation by utilizing automobile evaluation data and maintenance data.
The scrapping value of the automobile is usually evaluated by a professional evaluator according to factors such as automobile types, years, use mileage and the like, but the existing scrapping automobile evaluation system is required to be subjected to manual damage assessment, has low working efficiency, needs to spend quite a lot of time and resources, cannot guarantee timeliness of vehicle damage assessment and cannot provide a lot of data required by the scrapping automobile evaluation system, so that deviation occurs in evaluation results, evaluation personnel evaluate the scrapping automobile based on subjective judgment, but subjective judgment conditions of different evaluation personnel are inconsistent, so that different evaluation results can occur, reliability and fairness of the evaluation results are lacked, and disputes can be caused due to intervention of the artificial factors.
Therefore, a data system capable of analyzing various indexes of the scraped car and completing accurate evaluation of the scraped car by calculating basic data of the scraped car is needed, so that influence of human factors is eliminated.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present application provides a scraped car evaluation system based on image recognition, so as to solve the problems set forth in the above-mentioned background art.
The application provides the following technical scheme: an image recognition-based scraped car evaluation system comprising: the device comprises an image acquisition module, a data preprocessing module, a data processing module, a data output module and a judging module;
the image acquisition module is used for converting the image information of the scraped car into three-dimensional data image information, the image acquisition module comprises an image acquisition unit, an image uploading unit and a three-dimensional image construction unit, the image acquisition unit is used for acquiring image data of a target vehicle by using image acquisition equipment, the image uploading unit is used for receiving the image data of the target vehicle acquired by the image acquisition unit, and the three-dimensional image construction unit is used for constructing a three-dimensional data stereoscopic model based on the image data of the target vehicle in the image uploading unit;
the data preprocessing module is used for acquiring the paint parameters of the target vehicle, the frame parameters of the target vehicle and the driving equipment parameters of the target vehicle from the three-dimensional data three-dimensional model in the image acquisition module;
the data processing module obtains a paint value coefficient, a frame completion index and a driving equipment value coefficient based on the target vehicle paint parameter, the target vehicle frame parameter and the driving equipment parameter of the target vehicle in the data preprocessing module;
the data output module obtains a comprehensive value coefficient of the target vehicle based on the paint value coefficient, the frame completion index and the driving equipment value coefficient in the data processing module;
and the judging module judges the data of the target vehicle based on the comprehensive value coefficient of the target vehicle and outputs the judging result to the user terminal.
Preferably, the target vehicle paint parameters include a total paint area, a lost paint area, and an irregular error area, the target vehicle frame parameters include a total target vehicle volume, a target vehicle deformation volume, and a target vehicle breakage volume, the target vehicle driving device parameters include a target vehicle travel time, a target vehicle travel distance, and a target vehicle wear degree, and the target vehicle wear degree influencing factors include a target vehicle wear diameter and a target vehicle total area.
Preferably, the calculation formula of the paint value coefficient of the target vehicle corresponding to the scraped car evaluation system based on image recognition is as follows:a is expressed as a target vehicle paint value coefficient, s is expressed as a target vehicle total paint area, s 1 Expressed as the area of paint lost by the target vehicle, s 0 Expressed as target vehicle irregular error area, +.>Expressed as error area coefficients.
Preferably, the image recognition-based scrapped car evaluation system corresponds to the target car frame completion degree indexThe calculation formula of the number is as follows:b is expressed as a target vehicle frame completion index, v Total (S) Expressed as the total volume of the target vehicle, v 1 Expressed as a target vehicle deformation volume, v 2 Expressed as target vehicle breakage volume, v 0 Expressed as target vehicle error volume,/>Expressed as error volume coefficients.
Preferably, the specific evaluation steps of the value coefficient c of the driving device of the corresponding target vehicle of the scraped car evaluation system based on image recognition are as follows:
step S01: acquiring a travel time parameter t=t of a target vehicle 1 T is represented as a travel time parameter of the target vehicle, t 1 Recording a travel time for the target vehicle, and Δt is an error time;
step S02: acquiring a range parameter l=l of a target vehicle 1 + -Deltal, where l is expressed as a range parameter of the target vehicle, l 1 Expressed as target vehicle recorded mileage time, Δl expressed as error mileage;
step S03: the calculation formula of the target vehicle wear degree is expressed as follows:alpha is expressed as a target vehicle wear degree, d is expressed as a target vehicle wear diameter, deltas is expressed as a target vehicle irregular wear area,s total (S) Is the total area of the target vehicle.
Step S04: the target vehicle driving apparatus value coefficient
Preferably, the target vehicleThe comprehensive value coefficient is obtained based on the paint face value coefficient, the frame completion index and the driving equipment value coefficient in the data processing module, and the calculation formula is D=e a+b+c * Beta, beta is the interior value evaluation index.
Preferably, the data determination for the target vehicle is specifically as follows:
step S01: calculating a comprehensive value coefficient of the target vehicle based on the paint value coefficient, the frame completion index and the driving equipment value coefficient;
step S02: and comparing the comprehensive value coefficient of the target vehicle with the standard coefficient of the scrapped car, wherein the standard coefficient of the scrapped car can be specifically set according to specific conditions, specific data are not specifically specified in the embodiment, a judging result is obtained, and the judging result is output to the user terminal.
The application has the technical effects and advantages that:
according to the application, the image acquisition module and the data processing module are arranged, the image acquisition module converts the image information of the scraped car into the three-dimensional data image information, the data preprocessing module is used for acquiring the paint parameters of the target car, the frame parameters of the target car and the driving equipment parameters of the target car from the three-dimensional data three-dimensional model in the image acquisition module, the comprehensive value coefficient of the target car is obtained through the data processing and data output module, the judgment module carries out data judgment on the target car based on the comprehensive value coefficient of the target car and outputs the judgment result to the user terminal, the scraped car is automatically evaluated, the influence of manual operation and subjective factors is reduced, the system can rapidly and accurately analyze the car condition in the image through the image recognition technology, a large number of evaluation requests can be processed in a short time, the overall evaluation efficiency is improved, and the evaluation system based on image recognition is not influenced by individual subjective opinion, so that the evaluation system has higher objectivity, the influence of subjectivity is reduced, and better service is provided for users.
Drawings
Fig. 1 is an overall flowchart of a scraped car evaluation system based on image recognition.
Detailed Description
The following description will be made in detail, with reference to the drawings, of the present application, wherein the configurations of the structures described in the following embodiments are merely examples, and the scraped car evaluation system based on image recognition according to the present application is not limited to the configurations described in the following embodiments, and all other embodiments obtained by a person skilled in the art without making any inventive effort are within the scope of the present application.
Example 1
Referring to fig. 1, the application provides a scraped car evaluation system based on image recognition, comprising: the system comprises an image acquisition module, a data preprocessing module, a data processing module, a data output module and a judging module, wherein the judging module is used for outputting a judging result to a user terminal;
the image acquisition module acquires image information of the scraped car, transmits acquired data to the data preprocessing module, preprocesses the data after the data preprocessing module receives the data of the image acquisition module, transmits the preprocessed data to the data processing module, analyzes the data after the data preprocessing module receives the data of the data preprocessing module, transmits the analyzed data to the data output module, comprehensively analyzes the data after the data output module receives the data of the data processing module, outputs the data to the judging module, judges the data after the judging module receives the data of the data output module, and transmits the judging result to the user terminal.
In this embodiment, it needs to be specifically described that, the image acquisition module is configured to convert image information of a scraped car into three-dimensional data image information, where the image acquisition module includes an image acquisition unit, an image uploading unit and a three-dimensional image construction unit, the image acquisition unit uses an image acquisition device to acquire image data of a target vehicle, the image uploading unit receives the image data of the target vehicle acquired by the image acquisition unit, the three-dimensional image construction unit constructs a three-dimensional data three-dimensional model based on the image data of the target vehicle in the image uploading unit, and the image acquisition device includes, but is not limited to, a camera, and the target vehicle is a scraped car to be evaluated;
the image acquisition unit is used for ensuring that proper angles, illumination conditions and resolutions are selected to capture clear and representative images when the image acquisition unit is used for acquiring the images, the images acquired by the image acquisition unit can be used for selecting data labels according to specific conditions, the specific labeling requirements are not limited in the embodiment, and the data labels are beneficial to subsequent classification, detection or recognition tasks.
In this embodiment, it should be specifically described that the data preprocessing module is configured to acquire a target vehicle paint parameter, a target vehicle frame parameter, and a driving device parameter of a target vehicle from the three-dimensional data stereoscopic model in the image acquisition module;
the target vehicle paint parameters include, but are not limited to, total paint area, lost paint area, and irregular error area, the target vehicle frame parameters include, but are not limited to, total target vehicle volume, target vehicle deformation volume, and target vehicle breakage volume, the target vehicle drive apparatus parameters include, but are not limited to, target vehicle travel time, target vehicle mileage, and target vehicle wear level, and the target vehicle wear level influencing factors include, but are not limited to, target vehicle wear diameter and target vehicle total area.
In this embodiment, it should be specifically described that, the data processing module obtains a paint value coefficient, a frame finish index and a driving device value coefficient based on the target vehicle paint parameter, the target vehicle frame parameter and the driving device parameter of the target vehicle in the data preprocessing module;
the calculation formula of the paint value coefficient of the target vehicle corresponding to the scraped car evaluation system based on image recognition is as follows:wherein a is expressed as a paint value coefficient of the target vehicle, s is expressed as a total paint area of the target vehicle, s 1 Represented as the area of paint lost to the target vehicle,s 0 expressed as target vehicle irregular error area, +.>Expressed as error area coefficients;
the calculation formula of the completion index of the frame of the corresponding target vehicle of the scrapped car evaluation system based on image recognition is as follows:b is expressed as a target vehicle frame completion index, v Total (S) Expressed as the total volume of the target vehicle, v 1 Expressed as a target vehicle deformation volume, v 2 Expressed as target vehicle breakage volume, v 0 Expressed as target vehicle error volume,/>Expressed as error volume coefficients;
the specific evaluation steps of the value coefficient c of the driving equipment of the corresponding target vehicle of the scraped car evaluation system based on image recognition are as follows:
step S01: acquiring a running time parameter t of a target vehicle, wherein the running time parameter t of the target vehicle has a calculation formula as follows: t=t 1 T is represented as a travel time parameter of the target vehicle, t 1 Recording a travel time for the target vehicle, and Δt is an error time;
step S02: obtaining a driving distance parameter l of a target vehicle, wherein the driving distance parameter l of the target vehicle has a calculation formula as follows: l=l 1 + -Deltal, where l is expressed as a range parameter of the target vehicle, l 1 Expressed as target vehicle recorded mileage time, Δl expressed as error mileage;
step S03: calculating the abrasion degree of the target vehicle: the calculation formula of the target vehicle wear degree is expressed as follows:where α is denoted as target vehicle wear degree, d is denoted as target vehicle wear diameter, and Δs is denoted asFor irregular wear area of target vehicle s Total (S) The calculation formula of the irregular wear area delta s of the target vehicle is as follows: />
Step S04: calculating a value coefficient c of the driving equipment of the target vehicle: the target vehicle driving apparatus value coefficient
In this embodiment, it should be specifically described that, the data output module obtains the comprehensive value coefficient D of the target vehicle based on the paint value coefficient, the frame completion index and the driving device value coefficient in the data processing module, where the calculation formula is d=e a+b+c * Beta, beta is the interior value evaluation index.
In this embodiment, it needs to be specifically described that the determining module determines data of the target vehicle based on the comprehensive value coefficient of the target vehicle, and outputs the determination result to the user terminal;
the data judgment of the target vehicle comprises the following steps:
step S01: calculating a comprehensive value coefficient D of the target vehicle based on the paint value coefficient, the frame completion index and the driving equipment value coefficient;
step S02: and comparing the comprehensive value coefficient of the target vehicle with the standard coefficient of the scrapped car to obtain a judging result, and outputting the judging result to the user terminal, wherein the standard coefficient of the scrapped car can be specifically set according to the national standard, and specific data are not specifically specified in the embodiment.
According to the application, the image acquisition module and the data processing module are arranged, the image acquisition module converts the image information of the scraped car into the three-dimensional data image information, the data preprocessing module is used for acquiring the paint parameters of the target car, the frame parameters of the target car and the driving equipment parameters of the target car from the three-dimensional data three-dimensional model in the image acquisition module, the comprehensive value coefficient of the target car is obtained through the data processing and data output module, the judgment module carries out data judgment on the target car based on the comprehensive value coefficient of the target car and outputs the judgment result to the user terminal, the scraped car is automatically evaluated, the influence of manual operation and subjective factors is reduced, the system can rapidly and accurately analyze the car condition in the image through the image recognition technology, a large number of evaluation requests can be processed in a short time, the overall evaluation efficiency is improved, and the evaluation system based on image recognition is not influenced by individual subjective opinion, so that the evaluation system has higher objectivity, the influence of subjectivity is reduced, and better service is provided for users.
Example 2
The specific difference between this embodiment and embodiment 1 is that β includes an interior value evaluation index, and the specific calculation procedure of the interior value evaluation index is as follows:
step S01: the value coefficient P1 of the car seat is calculated,wherein C1 represents the cost of the car seat, and C2 represents the magnitude of the change in the cost of the car seat;
step S02: calculating an automobile instrument panel assembly coefficient P2, wherein P2=v1+v2 qv, wherein v1 represents a maximum voltage value, v2 represents a minimum voltage value, and qv represents the engine speed;
step S03: calculating a car roof assembly coefficient P3, wherein P3=lcos theta x q, wherein l represents the length of the roof, theta represents the included angle of the roof, and q represents the bearing load of the roof;
step S04: the interior value evaluation index β=k1p1+k2p2+k3p3 is calculated, where k1, k2, k3 are expressed as constants.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. An image recognition-based scraped car evaluation system, comprising: the device comprises an image acquisition module, a data preprocessing module, a data processing module, a data output module and a judging module;
the image acquisition module is used for converting the image information of the scraped car into three-dimensional data image information, the image acquisition module comprises an image acquisition unit, an image uploading unit and a three-dimensional image construction unit, the image acquisition unit is used for acquiring image data of a target vehicle by using image acquisition equipment, the image uploading unit is used for receiving the image data of the target vehicle acquired by the image acquisition unit, and the three-dimensional image construction unit is used for constructing a three-dimensional data stereoscopic model based on the image data of the target vehicle in the image uploading unit;
the data preprocessing module is used for acquiring the paint parameters of the target vehicle, the frame parameters of the target vehicle and the driving equipment parameters of the target vehicle from the three-dimensional data three-dimensional model in the image acquisition module;
the data processing module obtains a paint value coefficient, a frame completion index and a driving equipment value coefficient based on the target vehicle paint parameter, the target vehicle frame parameter and the driving equipment parameter of the target vehicle in the data preprocessing module;
the data output module obtains a comprehensive value coefficient of the target vehicle based on the paint value coefficient, the frame completion index and the driving equipment value coefficient in the data processing module;
and the judging module judges the data of the target vehicle based on the comprehensive value coefficient of the target vehicle and outputs the judging result to the user terminal.
2. The image recognition-based scraped car assessment system according to claim 1, wherein: the target vehicle paint parameters include a total paint area, a lost paint area, and an irregular error area, the target vehicle frame parameters include a target vehicle total volume, a target vehicle deformation volume, and a target vehicle breakage volume, the target vehicle driving device parameters include a target vehicle travel time, a target vehicle travel mileage, and a target vehicle wear degree, and the target vehicle wear degree influencing factors include a target vehicle wear diameter and a target vehicle total area.
3. The image recognition-based scraped car assessment system according to claim 1, wherein: the calculation formula of the paint value coefficient of the target vehicle corresponding to the scraped car evaluation system based on image recognition is as follows:a is expressed as a target vehicle paint value coefficient, s is expressed as a target vehicle total paint area, s 1 Expressed as the area of paint lost by the target vehicle, s 0 Expressed as target vehicle irregular error area, +.>Expressed as error area coefficients.
4. The image recognition-based scraped car assessment system according to claim 1, wherein: the calculation formula of the completion index of the frame of the corresponding target vehicle of the scrapped car evaluation system based on image recognition is as follows:b is expressed as a target vehicle frame completion index, v Total (S) Expressed as the total volume of the target vehicle, v 1 Expressed as a target vehicle deformation volume, v 2 Expressed as target vehicle breakage volume, v 0 Expressed as target vehicle error volume,/>Expressed as error volume coefficients.
5. The image recognition-based scraped car assessment system according to claim 1, wherein: the specific evaluation steps of the value coefficient c of the driving equipment of the corresponding target vehicle of the scraped car evaluation system based on image recognition are as follows:
step S01: acquiring a travel time parameter t=t of a target vehicle 1 T is represented as a travel time parameter of the target vehicle, t 1 Recording a travel time for the target vehicle, and Δt is an error time;
step S02: acquiring a range parameter l=l of a target vehicle 1 + -Deltal, where l is expressed as a range parameter of the target vehicle, l 1 Expressed as target vehicle recorded mileage time, Δl expressed as error mileage;
step S03: the calculation formula of the target vehicle wear degree is expressed as follows:alpha is expressed as target vehicle wear degree, d is expressed as target vehicle wear diameter, deltas is expressed as target vehicle irregular wear area, +.>s Total (S) For the total area of the target vehicle,
step S04: the target vehicle driving apparatus value coefficient
6. The image recognition-based scraped car assessment system according to claim 1, wherein: the comprehensive value coefficient of the target vehicle is obtained based on the paint value coefficient, the frame completion index and the driving equipment value coefficient in the data processing module, and the calculation formula is D=e a+b+c * Beta, beta is the interior value evaluation index.
7. The image recognition-based scraped car assessment system according to claim 1, wherein: the data judgment on the target vehicle is specifically as follows:
step S01: calculating a comprehensive value coefficient of the target vehicle based on the paint value coefficient, the frame completion index and the driving equipment value coefficient;
step S02: and comparing the comprehensive value coefficient of the target vehicle with the standard coefficient of the scrapped car, wherein the standard coefficient of the scrapped car can be specifically set according to specific conditions, specific data are not specifically specified in the embodiment, a judging result is obtained, and the judging result is output to the user terminal.
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