CN111768011A - Vehicle quality appraisal grading system and method thereof - Google Patents

Abstract

The invention relates to a vehicle quality identification grading system and a method thereof, which mainly establish a set of standardized vehicle quality identification grading flow, replace conditions such as careless omission generated during artificial identification or influence of subjective consciousness on identification results and the like through the cooperation of a computer and software, improve the overall identification quality and the public confidence and simultaneously provide a car owner with the capability of quickly and conveniently knowing the quality of vehicles in hands when selling the vehicles in hands.

Description

Vehicle quality appraisal grading system and method thereof

technical field

The present invention relates to an invention of automatic quality identification, in particular to a vehicle quality identification and grading system and a method thereof.

Background technique

In today's society, cars have almost become one of the necessary means of transportation for every household. With the increasing use of cars and the continuous introduction of new energy-saving and safe new cars, car owners will inevitably encounter the problem of buying new cars and selling second-hand cars. .

Among them, the means of selling second-hand cars in hand are nothing more than recommendation by relatives and friends, selling online by themselves, and selling them to second-hand car dealers. Among the above methods, it is the fastest and most convenient to sell to a second-hand car dealership. Since the second-hand car dealership has its own sales channels, appraisal methods, etc., it can allow car owners who need to sell second-hand cars to sell in the fastest time possible. Used car in hand. Before conducting the vehicle appraisal, the middle-aged car dealer will first check the status of each part of the second-hand car body to determine whether it is an accident car, a water soaked car, a spliced car, etc., and will also judge the internal and external maintenance status and use time of the car. The length of the vehicle is used to determine the quality of the vehicle. Finally, according to the quality of the vehicle, a reasonable price is estimated with reference to the current market price. Therefore, how to correctly judge the quality of the vehicle is a very important issue.

However, there are still the following problems in the valuation and sale of vehicles through second-hand car dealerships: (01) The identification information is not transparent:

At present, the second-hand car trading market is huge, but the quality of second-hand car dealers is mixed. The identification information of most car dealers is not transparent and open.

(02) Complex identification process:

When a car owner wants to sell a car to a car dealer, the first step is to find someone to evaluate (evaluate their own car). At present, the evaluation and judgment of the vehicle can only be judged by the car dealer through experience and the naked eye. Vehicles have become troublesome and complicated, and car owners who want to sell them at a good price must inspect their cars one by one and identify the quality, which is quite time-consuming and laborious. (03) Vehicle dealer information flow, easy to connect in series:

Many used car dealers belong to the same alliance or the same owner. When car owners want to sell cars, the dealers will exchange information and establish a common understanding to make the identification results consistent.

(04) Subjective identification standards:

At present, most of the quality appraisals of automobiles are carried out by car dealer bosses, technicians, appraisers, etc., based on the indicators of used cars, including: vehicle condition, appearance, year, mileage, major accidents, etc. Most of them are still subjective, and there is no one set of standards.

The inventor of the present invention, based on decades of experience and understanding of ancient car dealerships, believes that it is necessary to solve such problems in the market. The car owner of the vehicle does not have to spend a lot of trouble, and can easily, quickly and conveniently help the vehicle in his hand to grade the vehicle by entering the data on the Internet. Therefore, the inventors of the present invention began to think about the solution.

SUMMARY OF THE INVENTION

In view of the problems described in the prior art, the present inventor provides a vehicle quality identification and grading system to solve the problems existing in the prior art, including:

An input unit:

The input unit is used for inputting vehicle data of a vehicle and a plurality of photographed data of vehicle conditions inside and outside the vehicle, and the vehicle data includes data of a vehicle type.

A vehicle quality appraisal and classification database:

The vehicle quality appraisal grading database includes a plurality of vehicle original factory data, and each vehicle original factory data corresponds to a model.

1. Identification and grading unit:

The identification and classification unit information is connected to the input unit, the vehicle quality identification and classification database, and an output unit. The identification and classification unit writes a quality identification and classification program, and the quality identification and classification program can be used by the identification and classification unit. Execution: take out a corresponding original factory data of the vehicle in the vehicle quality identification and classification database according to the model data, analyze the vehicle condition shooting data of each vehicle and compare the difference with the original factory data of the vehicle, and then according to The result of the difference comparison and the vehicle data are used to comprehensively judge the quality of the vehicle to obtain a vehicle quality identification and classification result, and then the output unit is controlled to output the vehicle quality identification and classification result.

The vehicle quality identification and grading system, wherein the plurality of vehicle condition shooting data includes a plurality of vehicle-specific position shooting data, and the quality identification and grading program can further be executed by the identification and grading unit: for each vehicle specific position shooting data Image recognition, the image recognition result is compared with the corresponding original factory data of the vehicle for judging the use status of a vehicle frame, obtaining a vehicle frame identification data, and then according to the difference comparison results, The vehicle data and the vehicle frame identification data are comprehensively judged on the quality of the vehicle to obtain the vehicle quality identification and classification result.

The vehicle quality identification and grading system, wherein the plurality of vehicle condition shooting data includes a plurality of film thickness measurement and shooting data for measuring the baking paint of each part of the vehicle with a film thickness; the quality identification and classification program can further be used for the identification and classification Unit execution: analyze the film thickness measurement and shooting data, obtain multiple film thickness measurement results of the paint for each part of the vehicle, and then compare the multiple film thickness measurement results with the corresponding original factory data of the vehicle to obtain For judging the use status of the vehicle frame, obtaining a vehicle frame identification data, and then comprehensively judging the quality of the vehicle according to the difference comparison result, the vehicle data, and the vehicle frame identification data. The vehicle quality appraisal and grading results.

The vehicle quality identification and grading system, wherein the input unit can be used to input the film thickness measurement data of each part of the vehicle; the quality identification and classification program can further be executed by the identification and classification unit: The measurement data is compared with the corresponding original factory data of the vehicle for judging the use status of the vehicle frame, obtaining a vehicle frame identification data, and then according to the difference comparison result, the vehicle The quality of the vehicle is comprehensively judged from the data and the vehicle frame identification data to obtain the vehicle quality identification and classification result.

The vehicle quality identification and grading system, wherein the input unit can be used to input the film thickness measurement data of each part of the vehicle; the quality identification and classification program can further be executed by the identification and classification unit: The measurement data is compared with the corresponding original factory data of the vehicle for judging the use status of the vehicle frame, obtaining a vehicle frame identification data, and then according to the difference comparison result, the vehicle The quality of the vehicle is comprehensively judged from the data and the vehicle frame identification data to obtain the vehicle quality identification and classification result.

The vehicle quality identification and grading system, wherein the plurality of vehicle condition shooting data includes a vibration meter measuring and shooting data for measuring the operating condition of the vehicle engine with a vibration meter; the quality identification and classification program is further available for the identification and classification unit to execute: analysis The vibration meter measures the shooting data to obtain a vibration meter measurement result, and then compares the vibration meter measurement result with the original factory data of the vehicle to obtain an engine condition data, and then according to the difference comparison result, the vehicle data , the vehicle frame identification data, and the engine condition data comprehensively judge the quality of the vehicle to obtain the vehicle quality identification and classification result.

The vehicle quality appraisal and grading system, wherein a price database is further set up, the price database includes a plurality of vehicle appraisal reference data, and each vehicle appraisal reference data corresponds to a model; the appraisal and grading unit is further written There is an appraisal program, which can be executed by the appraisal and grading unit: according to the model data, a corresponding reference reference material for vehicle appraisal is taken out from the price database, and then according to the vehicle quality appraisal and grading The result and the vehicle appraisal reference data determine an appraisal result, and then control the output unit to output the appraisal result.

Through the present invention, when a car owner wants to sell a second-hand car, as long as the vehicle data and the vehicle condition photographed data are input, the system will find out the original factory data of the vehicle of the corresponding model (also called the car model). The comparison is carried out, and the vehicle quality level is judged in combination with the vehicle data. Therefore, the present invention establishes a set of standardized identification procedures, which can greatly reduce the errors caused by omissions in human identification, or reduce the situation that the quality identification results are affected by subjective opinions, and can also prevent car dealers from reducing the quality identification results. To enhance the credibility of the overall quality appraisal. In addition, when the car owner wants to sell the car, there is no need to take the car to the second-hand car dealership for quality appraisal. He only needs to enter the vehicle data and the vehicle condition shooting data according to the instructions on the Internet, and then he can quickly obtain the information. Know the results of vehicle quality appraisal and classification.

The inventor further proposes a vehicle quality identification and grading method, which includes the following steps:

(A) Vehicle data of a vehicle is input and transmitted to a qualification grading unit, and the vehicle data includes a vehicle type data.

(B) Obtaining a plurality of vehicle condition photographing data for photographing the inside and outside of the vehicle, and transmitting each vehicle condition photographing data to the identification and grading unit.

(C) According to the vehicle type data, take out a corresponding original factory data of a vehicle in a vehicle quality identification and classification database, analyze the shooting data of each vehicle condition and compare the difference with the original factory data of the vehicle

, and then comprehensively judge the quality of the vehicle according to the difference comparison result and the vehicle data to obtain a vehicle quality identification and classification result, and then control the output unit to output the vehicle quality identification and classification result.

The vehicle quality identification and grading method, wherein in the step (B), the plurality of vehicle condition shooting data includes a plurality of vehicle specific position shooting data; step (C) goes further: image recognition is performed for each vehicle specific position shooting data, and the image recognition The result is then compared with the corresponding original factory data of the vehicle for judging the use status of the vehicle frame to obtain a vehicle frame identification data, and then according to the difference comparison result, the vehicle data . The vehicle frame identification data comprehensively judges the quality of the vehicle to obtain the vehicle quality identification and classification result.

The vehicle quality identification and grading method, wherein in the step (B), the plurality of vehicle condition shooting data includes a plurality of film thickness measurement shooting data for measuring the baking paint of each part of the vehicle with the film thickness; step (C) goes further: analyzing each film Thickness measurement shooting data is obtained to obtain multiple film thickness measurement results of the baking paint of each part of the vehicle, and then compare the multiple film thickness measurement results with the corresponding original factory data of the vehicle for judging the vehicle frame. According to the use status of the vehicle body, a vehicle frame identification data is obtained, and then the vehicle quality is comprehensively judged according to the difference comparison result, the vehicle information, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. .

Description of drawings

Fig. 1 is the schematic diagram of each component link of the present invention

FIG. 2 is a schematic diagram of the operation flow of the present invention.

Reference number:

<The present invention>

Steps S1～S6

Input unit 01

Video capture unit 011

Vehicle Quality Appraisal Grading Database 02

Identification Grading Unit 03

Quality Assurance Grading Procedure 031

Appraisal Procedure 032

output unit 04

Price Database 05

Detailed ways

The advantages, features, requirements, and specific implementations of the present invention are further described below with the aid of the accompanying drawings. The present invention relates to a vehicle quality identification and grading system, comprising:

An input unit 01:

Please refer to FIG. 1 , the input unit 01 is used for inputting vehicle data of a vehicle and a plurality of photographing data of vehicle conditions inside and outside the vehicle, the vehicle data including a model data, mileage data, purchase date, factory date Data, etc., you can also enter unique identifiers such as engine number, body number, etc. Among them, all items with networking function and data input function are input units 01 referred to in the present invention, such as smart phones, notebook computers, tablet computers, desktop computers, PDAs, etc.; or A signal line or wireless transmission signal to achieve the data transmission function is also the input unit 01 referred to in the present invention, such as a computer keyboard, a mouse, a stylus, a Bluetooth input device (Bluetooth keyboard, Bluetooth mouse), infrared input equipment, etc.

Also, it is worth mentioning that the above-mentioned vehicle condition shooting data can be obtained by an image shooting unit 011, and the image shooting unit 011 can be a camera, a video camera, or even a machine with a 3D stereo scanning function, a 3D camera A handheld device with a three-dimensional scanning function, etc., is used to obtain the overall scanning result of the vehicle body as the vehicle condition photographing data.

A vehicle quality appraisal and classification database 02:

Please refer to FIG. 1 , the vehicle quality identification and grading database 02 includes a plurality of original factory data of the vehicle, and each original factory data of the vehicle respectively includes the image file of each specific position of the vehicle body, the engine number, the vehicle body number, the paint thickness information, and the paint color. information, engine vibration information, etc. The original factory data of each vehicle corresponds to a model.

An identification and grading unit 03:

Please refer to FIG. 1 , the identification and classification unit 03 links the input unit 01, the vehicle quality identification and classification database 02, and an output unit 04, and the identification and classification unit 03 writes a quality identification and classification program 031, The quality appraisal and grading program 031 can be executed by the appraisal and grading unit 03: according to the vehicle type data, a corresponding original factory data of the vehicle is extracted from the vehicle quality appraisal and grading database 02, and the photographed data of each vehicle condition is analyzed and matched with all the data. The original factory data of the vehicle is compared for difference, and then the quality of the vehicle is comprehensively judged according to the result of the difference comparison and the vehicle data to obtain a vehicle quality appraisal and classification result, and then the output unit 04 is controlled to output the vehicle quality. Identify the grading results. Anything that can display the vehicle quality appraisal and grading results is the output unit 04 referred to in the present invention, such as smart phones, tablet computers, desktop computers, notebook computers, CRT screens, liquid crystal displays, projectors, printers, and the like.

Through the present invention, when the car owner wants to sell the second-hand car in hand, as long as the vehicle type data, the vehicle condition photographing data, etc. are input through the input unit 01 according to the instructions of the system, the identification and grading unit 03 will automatically The vehicle identification and classification are carried out according to the above-mentioned data, and finally the identification and classification result is presented to the car owner through the output unit 04, so that the car owner can quickly and save time to know the quality identification result. Therefore, the present invention establishes a set of standard appraisal procedures, and various vehicle models (also called car models) are identified and graded with the same set of appraisal and grading procedures, which can not only reduce the negligence caused by human judgment, or It is to reduce the situation that the quality appraisal results are affected by subjective opinions, and it can also prevent car dealers from jointly reducing the quality appraisal results, so as to improve the credibility of the overall quality appraisal. In addition, when the car owner wants to sell the car, he does not need to go to many different second-hand car dealers for quality appraisal. After the vehicle data and the vehicle condition shooting data are obtained, the quality appraisal and classification results can be quickly obtained.

In addition, the quality appraisal results are based on grades when they are implemented. Generally, they can be divided into special grades and grades A to E, as shown in the table below, which represent the meanings of each grade. According to the content of each level, it can be known that the E-class is a major accident car. Normally, a major accident car cannot be circulated and sold in the second-hand vehicle market. Therefore, when the appraisal and classification result is E-class, the second-hand car is The buyer has the right to refuse subsequent transactions by the vehicle owner.

In addition, the quality appraisal result also includes the appearance maintenance result. The implementation manner is as follows: the vehicle condition shooting data includes an appearance maintenance data; the quality appraisal and grading program can further be executed by the appraisal and grading unit: The difference comparison between the appearance maintenance data and the original factory data of the vehicle is carried out, and the vehicle quality appraisal and classification result with the appearance maintenance appraisal is obtained. The implementation of the external appearance adjustment results can be shown in the following table.

six-star rating content ★★★★★★ The body looks bright and flawless like a new car ★★★★★ The exterior of the body is flawless, but the refurbishment can be seen ★★★★ Body appearance is slightly inconspicuous ★★★ There are obvious defects in the exterior of the body ★★ Those who don't care about appearance can choose ★ Refurbishment is recommended after purchase

The appearance maintenance data may include image data of each specific position, film thickness data of each specific position, chromaticity data of each specific position, etc. The specific position referred to in this specification refers to determining whether the vehicle has been impacted by external forces, Inspection parts for maintenance, welding, etc., the so-called specific positions can include: the upper end of the hood, the front fenders on both sides, the surface of the A-pillar, the surface of the B-pillar, the surface of the C-pillar, the rear fenders on both sides, the trunk lid, Front bumper, rear bumper, etc., the above specific positions can be subdivided into: the inner edge of the front end of the hood, the right side of the upper bracket of the water tank, the middle of the upper bracket of the water tank, the left side of the upper bracket of the water tank, and the lower bracket of the water tank The middle, the left side of the lower bracket of the water tank, the right side of the lower bracket of the water tank, the hexagonal lock of the front door on both sides, the front door on both sides, the upper edge of the A-pillar on both sides, the middle of the A-pillar on both sides, the lower edge of the A-pillar on both sides, the front lower on both sides The front end of the front door, the rear end of the front lower door on both sides, the hook seat of the B-pillar on both sides, the upper end of the B-pillar on both sides, the hexagonal lock of the rear door on both sides, the rear door of the rear door on both sides, the middle of the rear door on both sides, the two sides C-pillar twisting hook seat, upper edge of C-pillar on both sides, middle of rear tailgate, left side of rear tailgate, right side of rear tailgate, left side of rear tailgate, right side of rear tailgate, upper edge of D-pillar on both sides, Roof middle, roof left and roof right, etc.

In addition, one of the items in the quality appraisal grading results may be the interior maintenance star rating as shown in the following table. As the name suggests, the interior maintenance star rating is to identify and grade the completeness of the vehicle's interior and the degree of newness and oldness. Therefore, it is necessary to judge the interior maintenance data. The acquisition of the interior maintenance data can be obtained by the vehicle owner through the input unit 01. , or it can be identified and graded through the built-in image, and the principle of the identification and grading is the same as above, and will not be repeated here.

six-star rating content ★★★★★★ Bright and flawless interior like a new car ★★★★★ The interior of the car is neat and clean ★★★★ The interior of the car is clean and tidy despite signs of use ★★★ Local dirt inside the car ★★ If you don't care about the interior condition, you can choose it ★ It is recommended to do most of the interior decoration after purchase

In addition, the grading result of the vehicle quality appraisal is not limited to simply providing the above-mentioned grading judgment, but can also include the reasons for the appraisal. There are signs of dismantling of the door axle screws at the place, so as to improve the credibility of the car owner for the quality appraisal of the system. It can be implemented as follows: the vehicle quality appraisal and grading result includes a grade value; the quality appraisal and grading program can be further executed by the appraisal and grading unit: when the grade value is lower than a default value, the analysis The reason that affects the result of the vehicle quality appraisal classification is controlled, and the output unit is controlled to output the reason.

In the quality appraisal of the vehicle, whether the vehicle is an accident car, a soaking car, a splicing car, etc. will greatly affect the overall quality appraisal result. It has always been an important indicator for evaluating the value of a vehicle. Plates, water tank frames, beams, doors, sheet metal welding points, chassis, etc., or use a film thickness gauge to measure external factors such as the thickness of the car body paint, the thickness of the frame paint, and the difference in paint chroma to judge the car. basis of physical condition. In order to make the quality appraisal result of the present invention more objective, accurate, and unified standard, the present invention relates to the quality appraisal and grading way more enumerates the following specific embodiments:

1. Judging the condition of the vehicle body skeleton through image recognition technology, the implementation is as follows:

The plurality of photographed data of vehicle conditions include a plurality of photographed data of the outside of the vehicle, and the plurality of photographed data of the outside of the vehicle may be photographed data of a plurality of specific locations. Image recognition is performed on the data taken outside the vehicle, and the image recognition result is compared with the corresponding original factory data of the vehicle for judging the use status of the vehicle frame, and a vehicle frame identification data is obtained. The quality of the vehicle is comprehensively judged from the result of the pair of differences, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. In the above, the image recognition results are compared with the corresponding original factory data of the vehicle, mainly to analyze and compare the body sheet parts and the body sheet parts of the vehicle when they leave the factory to check whether the body has been joined, Stretching, dismantling, etc. It is worth mentioning that the above-mentioned image recognition technology adopted by it covers the current existing image recognition technology, pattern recognition technology, graphic recognition technology, etc., and the above-mentioned technologies are those of ordinary skill in the field of electronic calculators. It can be understood that the details will not be repeated here.

2. The condition of the car body frame is judged by measuring the film thickness of the car body by the film thickness meter, and its implementation is as follows:

The multiple vehicle condition shooting data includes multiple film thickness measurement shooting data of the baking paint of each part of the vehicle with the film thickness meter, and the film thickness measurement shooting data of each part of the baking paint includes each specific part outside the car body, such as the hood The upper end, the front fenders on both sides, the surface of the A-pillar, the surface of the B-pillar, the surface of the C-pillar, the rear fenders on both sides, the trunk cover, the front bumper, the rear bumper, etc.; The film thickness measurement and shooting data of the baking paint of each part also includes: the inner edge of the front end of the hood, the right side of the upper bracket of the water tank, the middle of the upper bracket of the water tank, the left side of the upper bracket of the water tank, the middle of the lower bracket of the water tank, the left side of the lower bracket of the water tank, the water tank The right side of the lower bracket, the front door hexagonal locks on both sides, the front door hinges on both sides, the upper edge of the A-pillar on both sides, the middle of the A-pillar on both sides, the lower edge of the A-pillar on both sides, the front end of the front lower door on both sides, the front lower door on both sides Fixed rear end, twisting hook seat of B-pillar on both sides, upper end of B-pillar on both sides, hexagonal lock of rear door on both sides, twisting of rear door on both sides, rear lower household on both sides fixed middle, twisting hook seat of C-pillar on both sides, both sides The upper edge of the C-pillar, the middle of the rear tailgate, the left side of the rear tailgate, the right side of the rear tailgate, the left side of the rear tailgate, the right side of the rear tailgate, the upper edge of the D-pillar on both sides, the middle of the roof, the left side of the roof and Right side of roof etc. The quality appraisal and grading procedure can further be executed by the appraisal and grading unit: analyzing the film thickness measurement and shooting data, obtaining a plurality of film thickness measurement results of the baking paint of each part of the vehicle, and then according to the plurality of film thickness measurement results and The corresponding original factory data of the vehicle is compared to judge the use status of the vehicle frame, and the identification data of the vehicle frame is obtained. The vehicle frame identification data is used to comprehensively judge the quality of the vehicle to obtain the vehicle quality identification and classification result.

In the above, the identification and grading unit will transmit the measurement position data of the film thickness gauge to let the car holder know, and then the car holder will take pictures according to the measurement position data (as described in the previous paragraph). When analyzing each film thickness measurement photographed data, the identification and grading unit mainly analyzes the values displayed on the film thickness gauge in the image, so as to obtain the plurality of film thickness measurement results. It should be noted that the reason why the value displayed on the film thickness gauge can be analyzed, and then the displayed value can be further compared with the original factory data of the corresponding vehicle, is based on the image recognition technology. The image recognition technology covers the current existing image recognition technology, pattern recognition technology, graphic recognition technology, etc., and the described technology can be understood by those of ordinary skill in the field of electronic calculators , and will not be repeated here.

In addition, the measurement result of the film thickness can be obtained by the above method or can be manually input by the car holder. The implementation is as follows: the input unit 01 can be used to input the film thickness measurement data of the baking paint of each part of the vehicle, The parts of the vehicle are as described in the previous paragraph, and will not be repeated here; the quality identification and classification procedure can be further executed by the identification and classification unit: according to the measurement data of each film thickness and the corresponding original factory data of the vehicle Carry out a comparison for judging the use status of the vehicle frame body, obtain the vehicle frame body identification data, and then comprehensively judge the vehicle frame body according to the difference comparison result, the vehicle data, and the vehicle frame body identification data. According to the quality of the vehicle, the vehicle quality appraisal and classification result is obtained.

In addition, as shown in the table below, the identification and grading unit can clearly list the parts of the car body that need to measure the film thickness and need to shoot images to the car owner, so that the car owner can clearly know the required The position where film thickness information is provided and the imaging position for each specific part of the vehicle body.

To further explain, when the shooting location is the body number and engine number (the body number and the engine number may differ in position depending on the model), the system will identify and compare the numbers in the captured images with image recognition technology to obtain Know whether the body number and engine number have been altered or modified. When the vehicle has an accident, if the car body frame is damaged, it will be repaired for the frame, and the car body frame is coated with several layers of baking paint in a standardized procedure when the vehicle leaves the factory. The quality of the paint layer in each part, The thickness tends to be the same. If the car body is damaged and repaired, such as sheet metal, repainting, joining, welding, bonding, stretching, splicing, etc., it will inevitably damage the original paint, which will change the thickness of the paint film. Or add many non-original solder joints and joints, so image recognition technology can be used to realize vehicle body recognition and classification. In addition, since the original factory data has been established in the vehicle quality appraisal grading database when the car body is out of the field, the film thickness value in the captured image can be obtained through the image recognition technology to measure the image of each specific position through the film thickness meter. Numerical comparison realizes vehicle body identification and classification. For a practical example, if the shooting point is "the inner edge of the front end of the hood", since the original frame will be stamped with a layer of "sheet metal glue" on the inner edge of the front end of the hood when it comes out, as described through image recognition. If the "sheet metal glue" disappears, it can be determined that the hood may be repaired or replaced; or if the shape of the "sheet metal glue" is twisted or irregular, it can be easily known through image recognition technology. Sheet metal glue" is processed by non-original factory. To give another example, if the "front end on the left side is fixed at the front of the house" is repaired through an accident, there will inevitably be new non-original solder joints such as spot welding and resistance welding. Changes occur after re-spraying. At this time, through image recognition and film thickness comparison, it is easy to know that the "left-side front-bottom custom front-end" has been processed by non-original factories. In addition, such as "angle chain" and "hexagonal lock", through disassembly or replacement, the original baking paint film thickness changes (such as paint stripping), or a little displacement, which can also be easily identified by the technical means of the present invention.

3. Since the part of the vehicle body passing through the paint will inevitably produce a color difference with the adjacent adjacent parts, the use status of the vehicle frame can be judged by the color difference. The instrument (also known as a colorimeter) measures the paint color difference measurement and shooting data of the baking paint of each part of the vehicle; the quality identification and grading program can further be executed by the identification and classification unit: analyze the color difference measurement and shooting data of each paint to obtain more information. Each paint color difference measurement result is then compared with the original factory data of the vehicle to obtain the vehicle frame identification data, and then based on the difference comparison results, the vehicle data, and the The vehicle frame identification data is used to comprehensively judge the quality of the vehicle to obtain the vehicle quality identification and classification result. Image recognition technology is also used here to analyze and compare the colorimeter values in the shooting data. The method is the same as that described in the previous paragraph, and will not be repeated here. It is worth mentioning that, in addition to color difference identification by means of image recognition, the color difference comparison can also be completed by the car owner manually entering values.

In addition, in addition to the above, the engine condition is also one of the important influencing factors affecting the vehicle quality appraisal and classification result. In order to improve the overall appraisal quality, the present invention further incorporates the engine condition into one of the judgment items. Each piece of vehicle condition shooting data includes a vibration meter measuring and shooting data that uses a vibration meter to measure the operating condition of the vehicle engine; the quality identification and grading program can further be executed by the identification and classification unit: analyzing the vibration meter measurement and shooting data to obtain a vibration meter measurement As a result, the vibration measurement result is compared with the original factory data of the vehicle to obtain an engine condition data, and then according to the difference comparison result, the vehicle data, the vehicle frame identification data, and the The quality of the vehicle is comprehensively judged from the engine condition data to obtain the vehicle quality appraisal and classification result. In the above, in addition to analyzing the measurement results of the vibration meter, the identification and grading unit can also judge the engine condition through image recognition. In addition, in addition to measuring the operating condition of the vehicle engine with a vibration meter, a vacuum gauge, a cylinder bed side leaker, a water tank pressure tester, an O ₂ oscilloscope viewer, etc. can also be used. The analysis and judgment process is consistent with the principle of the above vibration meter. It will not be repeated here.

When the vehicle engine vibrates abnormally, it can be roughly judged that it may be: (1) the problem of the intake system, (2) the problem of the fuel injection system, (3) the problem of the ignition system, and (4) the problem of the sensor; however, through the vibration measurement Measuring the engine vibration value can preliminarily know the engine health status of the vehicle, and is also one of the indicators for judging the quality identification and classification of the vehicle.

It is worth mentioning that the above-mentioned identification and grading unit is not limited to focusing on the above-mentioned parts when analyzing and comparing the shooting data of various vehicle conditions, but also analyzes whether there are signs of water soaking on the inside of the body frame, the degree of wear and tear of the interior, and the engine number. Whether it is consistent with the body number, the wear degree of the brake pads, the wear degree of the suspension positioning system, etc., are the key points of judgment and analysis, and are also one of the judgment indicators.

As of the above, the main purpose is to provide the car owner with the quality appraisal result of the vehicle in hand. For the car owner, the appraisal result is another key point of concern. Knowing the current market second-hand prices of vehicles in hand, the present invention can further be implemented as follows: wherein a price database is further set up, and the price database includes a plurality of vehicle appraisal reference data, and each vehicle appraisal reference data corresponds to a model; The appraisal and grading unit is further written with an appraisal program, and the appraisal program can be executed by the appraisal and grading unit: according to the model data, take out a corresponding vehicle appraisal reference data in the price database, and then according to the model data. An appraisal result is determined from the vehicle quality appraisal grading result and the vehicle appraisal reference data, and then the output unit is controlled to output the appraisal result.

In addition, since the prices of vehicles in the second-hand market are constantly changing, the reference data for each vehicle appraisal in the price database are updated frequently, and the reference data for vehicle appraisal are mainly based on the current second-hand market of various models. Price is the main.

Please refer to FIG. 2 , the following is the operation flow of the present invention when it is implemented, in order to explain the advantages and characteristics of the present invention more clearly:

First, when the car owner has the need to sell the vehicle in hand, he can use the mobile phone, computer and other equipment to connect with the system, and then input the vehicle data and the vehicle condition shooting data according to the prompt of the system and send it to the system. The identification and grading unit (step S1), then as described in step S2, the identification and grading unit starts to take out the corresponding original factory data of the vehicle from the vehicle quality identification and grading database for the vehicle data as the basis for comparison, After analyzing the photographed data of the vehicle condition, a comparative analysis is performed with the original factory data of the vehicle, thereby judging the quality of the vehicle and obtaining the vehicle quality identification and grading result (step S3). Next, as shown in step S4, the appraisal and grading unit will, according to the vehicle data, take out the corresponding vehicle appraisal reference data from the price database as a basis for comparison, and identify and grade according to the vehicle quality. The result and the vehicle appraisal reference data determine the appraisal result (step S5), and finally, the appraisal grading unit controls the output unit to output the vehicle quality appraisal grading result and the appraisal result (step S6).

Based on the relevant provisions of the same invention in a broad sense, this specification also proposes a vehicle quality identification and grading method, please refer to Figure 2, which includes the following steps:

(A) Vehicle data of a vehicle is input and transmitted to a qualification grading unit, and the vehicle data includes a vehicle type data.

(B) Obtaining a plurality of vehicle condition photographing data for photographing the inside and outside of the vehicle, and transmitting each vehicle condition photographing data to the identification and grading unit.

(C) taking out a corresponding original factory data of a vehicle in a vehicle quality identification and grading database according to the model data, analyzing the photographed data of each vehicle condition and comparing the difference with the original factory data of the vehicle, and then comparing the data according to the difference. The result and the vehicle data are comprehensively judged on the quality of the vehicle to obtain a vehicle quality identification and classification result, and then the output unit is controlled to output the vehicle quality identification and classification result.

The detailed description, features, advantages, and implementation of the above-mentioned vehicle quality identification and classification method have already been described quite well in the aforementioned vehicle quality identification and classification system, and will not be repeated here.

Similarly, with regard to the specific embodiments of the present invention involving quality appraisal, the following specific implementation aspects are further listed, and since each implementation aspect has been fully explained in the aforementioned vehicle quality appraisal grading system, it will not be discussed later. Repeat. The specific embodiments of the quality identification include:

1. Judging the condition of the vehicle body skeleton through image recognition technology, the implementation is as follows:

Wherein, in step (B), the plurality of vehicle condition shooting data includes a plurality of vehicle outside shooting data; step (C) goes further: image recognition is performed for each vehicle outside shooting data, and the image recognition result is compared with the corresponding original factory data of the vehicle. Carry out a comparison for judging the use status of the vehicle frame, obtain a vehicle frame identification data, and then comprehensively judge the vehicle frame according to the result of the difference comparison, the vehicle data, and the vehicle frame identification data. The quality of the vehicle is obtained from the vehicle quality appraisal and classification result.

2. The condition of the vehicle body frame is judged by measuring the film thickness of the vehicle body by the film thickness meter, and the embodiment is as follows: wherein the plurality of vehicle condition shooting data in the step (b) includes a plurality of film thicknesses of the baking paint of each part of the vehicle measured by the film thickness meter. Measure the shooting data; step (C) goes further: analyze the film thickness measurement shooting data, obtain a plurality of film thickness measurement results of the baking paint of each part of the vehicle, and then according to the plurality of film thickness measurement results and the corresponding The original factory data of the vehicle is compared to judge the use status of the vehicle frame, and a vehicle frame identification data is obtained, and then based on the difference comparison result, the vehicle data, and the vehicle frame identification data The quality of the vehicle is comprehensively judged to obtain the vehicle quality appraisal and classification result.

It is particularly noted that, for the film thickness measurement target of the present invention, the first priority is to take the vehicle body frame as the primary measurement point. Above the value of the film thickness, this is a problem that is difficult for ordinary car repair shops to overcome; on the contrary, if the exterior of the car shell is painted, the general paint process may be able to easily overcome, or even achieve the same level as the original paint. The credibility of the film thickness inspection may be insufficient; or for a good car, the original paint may be damaged and thinned due to the difference in the use environment, or the film thickness value may increase due to the filming, which will affect the measurement of the exterior paint of the car body. The thickness is one of the uncontrollable factors. Therefore, the present invention focuses on measuring the film thickness with the vehicle frame, thereby increasing the reliability of the vehicle quality identification and grading.

To sum up, this case complies with the requirements stipulated by the Patent Law, and a patent application can be filed in accordance with the law. The above description only lists the preferred embodiments of the present invention, and the scope of the claims in this case is still mainly listed in the claims.

Claims (10)

1. a vehicle quality appraisal grading system, is characterized in that, comprises: an input unit: for inputting vehicle data of a vehicle and a plurality of shooting data of vehicle conditions inside and outside the vehicle, the vehicle data including a model data; A vehicle quality appraisal classification database: including the original factory data of multiple vehicles, and the original factory data of each vehicle corresponds to a model; An appraisal and grading unit: information links the input unit, the vehicle quality appraisal and grading database, and an output unit, the appraisal and grading unit writes a quality appraisal and grading program, and the quality appraisal and grading program can be used by the appraisal and grading unit. Execution: take out a corresponding original factory data of the vehicle from the vehicle quality identification and classification database according to the model data, analyze the shooting data of each vehicle condition and compare the difference with the original factory data of the vehicle, and then compare the data according to the difference. The result and the vehicle data are comprehensively judged on the quality of the vehicle to obtain a vehicle quality identification and classification result, and then the output unit is controlled to output the vehicle quality identification and classification result. 2 . The vehicle quality appraisal and grading system according to claim 1 , wherein the plurality of vehicle condition shooting data comprises a plurality of vehicle specific position shooting data, and the quality appraisal and grading program is further provided for the appraisal and grading unit. 3 . Execution: image recognition is performed on the shooting data of each vehicle at a specific location, and the image recognition result is compared with the corresponding original factory data of the vehicle for judging the use status of a vehicle frame, and obtaining a vehicle frame identification data, Then, the quality of the vehicle is comprehensively judged according to the difference comparison result, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. 3 . The vehicle quality identification and grading system according to claim 2 , wherein the plurality of vehicle condition shooting data includes a plurality of film thickness measurement shooting data for measuring the baking paint of each part of the vehicle with a film thickness meter; the quality identification The grading procedure can be further executed by the identification and grading unit: analyzing the film thickness measurement and shooting data, obtaining multiple film thickness measurement results of the paint for each part of the vehicle, and then corresponding to the above according to the multiple film thickness measurement results The original factory data of the vehicle is compared to determine the use status of the vehicle frame, and a vehicle frame identification data is obtained, and then based on the difference comparison result, the vehicle data, and the vehicle frame identification The quality of the vehicle is comprehensively judged by the data to obtain the vehicle quality appraisal and classification result. 4. The vehicle quality identification and grading system according to claim 2, wherein the input unit can be used for inputting the film thickness measurement data of the baking paint of each part of the vehicle; the quality identification and grading program is further available for the identification The grading unit executes: according to each film thickness measurement data and the corresponding original factory data of the vehicle are compared, so as to judge the use status of the vehicle frame body, obtain a vehicle frame body identification data, and then according to the difference The quality of the vehicle is comprehensively judged from the comparison result, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. 5 . The vehicle quality identification and grading system according to claim 2 , wherein the input unit can be used to input the film thickness measurement data of the baking paint of each part of the vehicle; the quality identification and classification program can further be used for the identification The grading unit executes: according to each film thickness measurement data and the corresponding original factory data of the vehicle are compared, so as to judge the use status of the vehicle frame body, obtain a vehicle frame body identification data, and then according to the difference The quality of the vehicle is comprehensively judged from the comparison result, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. 6. The vehicle quality identification and grading system according to any one of claims 2 to 5, wherein the plurality of vehicle condition shooting data comprises a vibration meter measuring and shooting data for measuring the operating condition of a vehicle engine with a vibration meter; the The quality appraisal and grading program can be further executed by the appraisal and grading unit: analyzing the vibration meter measurement and shooting data to obtain a vibration meter measurement result, and then comparing the vibration meter measurement result with the original factory data of the vehicle to obtain an engine condition data, and then comprehensively judge the quality of the vehicle according to the difference comparison result, the vehicle data, the vehicle frame identification data, and the engine condition data to obtain the vehicle quality identification and classification result. 7. The vehicle quality appraisal and grading system according to claim 6, wherein a price database is further provided, the price database includes a plurality of vehicle appraisal reference data, and each vehicle appraisal reference data corresponds to a vehicle model respectively The appraisal and grading unit is further written with an appraisal program, and the appraisal program can be executed by the appraisal and grading unit: according to the model data, a corresponding vehicle appraisal reference data is taken out in the price database, Then, an appraisal result is determined according to the vehicle quality appraisal grading result and the vehicle appraisal reference data, and then the output unit is controlled to output the appraisal result. 8. A vehicle quality identification and grading method, characterized in that, comprising the following steps: (A) inputting vehicle data of a vehicle and transmitting it to an authentication grading unit, and the vehicle data includes a vehicle type data; (B) obtaining a plurality of vehicle condition photographing data for photographing the inside and outside of the vehicle, and transmitting each vehicle condition photographing data to the appraisal and grading unit; (C) taking out a corresponding original factory data of a vehicle in a vehicle quality identification and grading database according to the model data, analyzing the photographed data of each vehicle condition and comparing the difference with the original factory data of the vehicle, and then comparing the data according to the difference. The result and the vehicle data are comprehensively judged on the quality of the vehicle to obtain a vehicle quality identification and classification result, and then the output unit is controlled to output the vehicle quality identification and classification result. 9. The vehicle quality identification and grading method according to claim 8, characterized in that, in step (B), a plurality of vehicle condition shooting data includes a plurality of vehicle specific position shooting data; step (C) goes further: for each vehicle specific position The photographed data is subjected to image recognition, and the image recognition result is compared with the corresponding original factory data of the vehicle for judging the use status of the vehicle frame, obtaining a vehicle frame identification data, and then according to the difference ratio. The quality of the vehicle is comprehensively judged on the result, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. 10. The vehicle quality identification and grading method according to claim 8, wherein in step (B), a plurality of vehicle condition shooting data includes a plurality of film thickness measurement shooting data for measuring the baking paint of each part of the vehicle with a film thickness measurement; step (C) Going a step further: analyze the film thickness measurement and shooting data, obtain multiple film thickness measurement results of the paint for each part of the vehicle, and then compare the multiple film thickness measurement results with the corresponding original factory data of the vehicle. Yes, for judging the use status of the vehicle frame, obtaining a vehicle frame identification data, and then comprehensively judging the vehicle's status according to the difference comparison result, the vehicle data, and the vehicle frame identification data. The quality is obtained from the vehicle quality identification and grading result.

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