TWM583992U - Vehicle quality appraisal grading system - Google Patents

Abstract

The present invention relates to a vehicle quality appraisal grading system, which mainly establishes a standardized vehicle quality appraisal grading process, and replaces the omissions caused by human identification or the subjective consciousness influence identification results through the cooperation of the computer and the software. In order to improve the overall quality and credibility of the identification, and to provide car owners with the vehicle in the hands of the sale, it is fast and convenient to know the quality of the vehicle in hand.

Description

Vehicle quality appraisal grading system

The novel relates to a new type of automatic identification quality, especially a vehicle quality identification grading system.

In Taiwan, cars are almost one of the necessary means of transportation for every household. As the use of cars continues to increase, and new cars with both energy conservation and safety continue to evolve, car owners will inevitably encounter the problem of buying new cars and selling used cars.

Among them, the means of selling used cars in the hands is nothing more than recommendation by friends and relatives, online sales, and sales to the medieval car dealers. Among the above-mentioned means, it is the fastest and most convenient for the car dealers in the Middle Ages. Because the car dealers have their own sales channels and pricing methods, they can let the car holders who sell the demand for the used cars sell in the fastest time. Used car in hand. Before the vehicle pricing, the car dealers will check the status of each part of the used car body to determine whether it is an accident car, a water tanker, a splicing car, etc., and also judge the maintenance status and length of use inside and outside the car. In order to determine the level of vehicle quality, and finally based on the level of vehicle quality, reference to the current market price to verify the reasonable price, therefore, how to correctly determine the level of vehicle quality is a very important issue.

However, at present, the following problems are still found in the valuation and sale of vehicles by second-hand car dealers: (01) The identifiable information is opaque: At present, the market for used cars is large, and the quality of used cars is mixed, and the identification information of most car dealers It is opaque and undisclosed. It is difficult to judge the quality of vehicles fairly, objectively and accurately, so that the rights of car owners cannot be fully protected.

(02) Complex identification process: When the car owner wants to sell the car to the car dealer, the first step is to find someone to evaluate (evaluate his car). At present, the evaluation and judgment of the vehicle can only be carried out by the dealer. Through experience and visual judgment, the sale of vehicles has become cumbersome and complicated. Car owners who want to sell a good price must have a car dealer to check the car and identify the quality, which is quite time-consuming and laborious.

(03) The information flow of the car dealers is easy to connect: Many used car dealers are in the same league or the same boss. When the car owner wants to sell the car, the car dealers will establish a common tacit agreement to make the identification result through information exchange. Consistent.

(04) Subjective appraisal standards: At present, most of the car's quality appraisals are evaluated by car dealers, technicians, price appraisers, etc., for the evaluation of used car indicators, including: car condition, appearance, year, mileage, major accidents, etc... Most of them are subjectively recognized and there is no set of standards.

This new model has been based on decades of experience and understanding of the deep-rooted medieval car dealers. It is believed that this kind of problem in the market is really necessary. I feel that the trading of used cars can be made through the current technical level of network technology and photography technology. Car owners who sell vehicles don't have to pay much attention to the Internet, and they can easily and quickly help them identify their vehicles by inputting data. In this way, the new person began to think about its solution.

In view of the problems described in the prior art, the present inventors provide a vehicle quality identification grading system to solve the problems of the prior art, including:

An input unit: the input unit is configured to input vehicle data of a vehicle, and a plurality of vehicle condition photographing materials for detecting the inside and outside of the vehicle, the vehicle data including a vehicle type data.

A vehicle quality appraisal and grading database: The vehicle quality appraisal and grading database includes the original factory data of a plurality of vehicles, and the original factory data of each vehicle respectively corresponds to a vehicle type.

An identification and classification unit: the identification and classification unit information is connected to the input unit, the vehicle quality identification and classification database, and an output unit, wherein the identification and classification unit writes a quality identification classification program, and the quality identification classification program is available for the identification and classification unit Execution: According to the vehicle model data, a corresponding vehicle original factory data is taken out from the vehicle quality identification and classification database, and the vehicle shooting data of each vehicle is analyzed and compared with the original factory data of the vehicle, and then compared according to the difference. The result and the vehicle data comprehensively determine the quality of the vehicle to obtain a vehicle quality appraisal and classification result, and then control the output unit to output the vehicle quality appraisal and classification result.

Through this new model, when a car owner wants to sell a used car, as long as the vehicle information is entered and the vehicle condition is taken, the system will find out the original factory data of the corresponding vehicle (also called the car). Yes, cooperate with the vehicle data to determine the vehicle quality level. Therefore, the new model establishes a standardized identification process, which can greatly reduce the errors caused by omissions during human identification, or reduce the quality appraisal results caused by subjective opinions, and prevent the dealers from jointly reducing the quality appraisal results. Improve the credibility of the overall quality identification. In addition, when a car owner wants to sell a car, he does not need to pay a large fee to drive the car to the used car dealer for quality appraisal. You only need to go online to input the vehicle information according to the instructions, and the car condition can be quickly learned. Quality identification results.

The following are the aids of the various drawings to further illustrate the advantages, features, requirements, and specific implementation aspects of the novel. This new type of creation is about a vehicle quality appraisal and grading system, including:

An input unit 01: As shown in FIG. 1 , the input unit 01 is configured to input vehicle data of a vehicle and a plurality of vehicle shooting conditions of the inside and outside of the vehicle, the vehicle data including a vehicle type data, mileage data, purchase date, Factory date data, etc., can also enter unique identification codes such as engine number and body number. Among them, the items having the networking function and having the input data function are the input unit 01 referred to in the present invention, such as a smart phone, a notebook computer, a tablet computer, a desktop computer, a personal digital assistant (PDA), etc. Or the signal transmission line and the wireless transmission signal to achieve the data transmission function, which is also the input unit 01 of the present invention, such as a computer keyboard, a mouse, a stylus, a Bluetooth input device (a Bluetooth keyboard, a Bluetooth device) Mouse), infrared input device, etc.

Moreover, it is worth mentioning that the above-mentioned vehicle condition photographing data can be obtained by an image capturing unit 011, and the image capturing unit 011 can be a camera, a camera, or even a machine with a 3D scanning function and having a 3D scanning function. A hand-held device or the like is used to obtain an overall scan result of the vehicle body, and the photograph is taken as the vehicle condition.

A vehicle quality appraisal grading database 02: Please refer to FIG. 1 , the vehicle quality appraisal grading database 02 includes a plurality of original vehicle data of each vehicle, and the original factory data of each vehicle respectively includes image files, engine numbers and vehicle bodies of specific positions of the vehicle body. Number, paint thickness information, paint color information, engine vibration information, etc., the original factory data of each vehicle corresponds to a model.

An identification and classification unit 03: Referring to FIG. 1, the identification and classification unit 03 is connected to the input unit 01, the vehicle quality identification classification database 02, and an output unit 04, and the identification and classification unit 03 writes a quality identification rating. The program 031, the quality identification grading program 031 is executable by the identification grading unit 03: according to the vehicle model data, the corresponding vehicle original factory data is taken out from the vehicle quality identification grading database 02, and the vehicle condition data is analyzed and The original factory data of the vehicle is compared and compared, and 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 appraisal and classification result. Anyone who can display the quality appraisal and grading results of the vehicle is the output unit 04 referred to in the present invention, such as a smart phone, a tablet computer, a desktop computer, a notebook computer, a CRT screen, a liquid crystal display, a projector, and a printing machine. Table machine and so on.

Through the present invention, when the car owner wants to sell the used car, the identification classifying unit 03 automatically performs the above-mentioned data according to the instruction of the system, the car type data, the car condition photographing data, and the like are input through the input unit 01. Vehicle identification and grading, and finally the results of the appraisal grading are presented to the car holder through the output unit 04, so that the car holder can quickly and timely learn the quality appraisal result. In this way, the new model establishes a set of standard appraisal processes. All kinds of models (also known as car models) are identified and graded by the same set of appraisal and classification processes, which can not only reduce the loss caused by human judgment, or It is to reduce the quality appraisal results due to subjective opinions, and also prevent the car dealers from jointly reducing the quality appraisal results to enhance the credibility of the overall quality appraisal. In addition, when a car owner wants to sell a car, there is no need to pay a large fee to drive the car to a number of different used car dealers for quality appraisal. Since the entire vehicle appraisal and grading process has been harmonized, it is only necessary to input the according to the instructions of the present invention. After the vehicle information and the shooting conditions of the vehicle, you can quickly get the quality identification and classification results.

In addition, the quality identification results are graded as a distinction, and generally can be divided into special grades, A~E grades, as shown in the following table, representing the meaning of each grade. According to the content of each level, it can be known that the E-class is a major accident vehicle. Normally, a major accident vehicle cannot be sold in the second-hand market of the vehicle. Therefore, when the identification and classification result is E-class, the used vehicle The buyer has the right to refuse the subsequent transaction of the vehicle owner.  Graded content Super car original paint A-class original car original B-class external screw fixing parts have been replaced by C-class external welding fixtures have been replaced D-class body frame once small accident car damage E-class major accident car, joint car, soaking car ,taxi

In addition, the quality identification result also includes the appearance preparation result, and the implementation manner is: the vehicle condition photographing data includes an appearance preparation data; the quality identification classification program 31 is further executable by the identification classification unit 3: according to the appearance The data is compared with the original ex-factory data of the vehicle, and the vehicle quality appraisal and grading result with the appearance and tidy identification is obtained. The implementation of the appearance preparation result can be as shown in the following table.  Six-star grading content ★★★★★★ The appearance of the car is bright and flawless like a new car ★★★★★ The appearance of the car is flawless but the finishing track can be seen ★★★★ The appearance of the car body is slightly not obvious 瑕疵★★★ The appearance of the car body is obvious瑕疵★★ Don't care about the appearance of the purchaser ★Recommended after purchase

The appearance preparation data may include image data of each specific position, film thickness data of each specific position, chromaticity data of each specific position, etc., and the specific position referred to in this specification refers to determining whether the vehicle has been subjected to external force impact. Inspection parts for maintenance, welding, etc., so-called specific positions may include: upper end of the hood, front fenders on both sides, A-pillar surface, B-pillar surface, C-pillar surface, both sides of the rear fender, tail box cover The front bumper, the rear bumper, etc., in more detail, can be subdivided into: the inner edge of the front end of the hood, the right side of the bracket on the water tank, the middle of the bracket on the water tank, the left side of the water tank upper bracket, the middle of the water tank lower bracket, The left side of the lower tank 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 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, and the front and rear front sides of the two sides. Front and rear front and rear sides, B-pillar hinge hooks on both sides, upper B-pillars on both sides, hexagonal locks on both sides of the rear door, hinges on both sides of the rear door, middle and rear lower hinges, and C-links on both sides Hook seat, upper edge of C-pillar on both sides, rear The middle of the 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 the right side of the roof.

Moreover, one of the items of the quality appraisal and grading result can be as shown in the following table, which is a built-in star rating. As the name suggests, the built-in full-service star rating is to identify and classify the vehicle's completeness, old and new. Therefore, it is necessary to judge the internal equipment. The preparation of the internal equipment can be obtained by the vehicle owner. The input unit 01 inputs the identification and classification through the built-in image, and the principle of the identification and classification is the same as above, and will not be described herein.  Six-star grading content ★★★★★★ The car is bright and flawless like a new car ★★★★★ The car is neatly clean and clean ★★★★ Although the car interior has traces of use, it is still neat and clean ★★★ Partially dirty ★ ★ Do not care about the inside of the situation can be purchased ★ After the purchase is recommended to carry most of the interior decoration

In addition, the vehicle quality appraisal grading result is not limited to simply providing the above-mentioned level judgment, and may also include the reason for the identification, for example, the problem affecting the quality appraisal and grading result of the vehicle is that the girders appear to be damaged, or the vehicle body and the door are fixed. The door shaft screws have disassembly marks, etc., to enhance the credibility of the car holder for the quality identification of the system. The implementation aspect may be: the vehicle quality appraisal and classification result includes a level value; the quality appraisal and classification program 31 is further executable by the appraisal and classifying unit 3: when the level value is lower than a preset value, the impact is analyzed. The vehicle quality is judged for the reason of the classification result, and the output unit 4 is controlled to output the reason.

In the quality appraisal of vehicles, whether the vehicle is an accident car, a water tanker, a splicing car, etc., will greatly affect the overall quality appraisal result. It has always been a major indicator for evaluating the value of the vehicle. Generally speaking, the fender board of the car body is inspected by naked eyes. , tank frame, girders, doors, welding points, chassis, etc., or through the film thickness gauge to measure the thickness of the car body paint, the thickness of the skeleton paint, the difference in paint color and other external factors, as a judgment body The basis of the situation. In order to make the quality identification results of this new model more objective, accurate, and uniform standards, the new method of quality appraisal grading is listed in the following specific implementation methods:

1. The image recognition technology is used to judge the condition of the vehicle body skeleton. The implementation method is as follows: The plurality of vehicle shooting data includes a plurality of vehicle outside shooting data, and the plurality of vehicle outside shooting data may be a plurality of specific locations of shooting data, the quality identification The grading program 031 is further executable by the evaluator grading unit 03 for performing image recognition on the outside of each vehicle, and the image recognition result is compared with the corresponding original factory data for judging the use of the vehicle frame. In the situation, a vehicle frame identification data is obtained, and the quality of the vehicle is comprehensively judged according to the result of the difference comparison, the vehicle data, and the vehicle frame identification data to obtain the vehicle quality identification and classification result. In the above, the image recognition result is compared with the corresponding original factory data of the vehicle, mainly for analyzing and comparing the body parts and the vehicle body parts when the vehicle is shipped, to check whether the body has been engaged or pulled. Stretching, dismantling, etc. It is worth mentioning that the above-mentioned image recognition technology covers the existing image recognition technology, pattern recognition technology, graphic recognition technology, etc., which can be understood by those skilled in the electronic computer field. The details are not listed here.

2. The film thickness of the car body is measured by the film thickness measurement to determine the condition of the car body skeleton. The implementation method is as follows: The plurality of car conditions photographing data includes a plurality of film thickness measurement photographs of various parts of the vehicle by measuring the film thickness, and The film thickness measurement of each part of the paint includes specific parts of the exterior of the car body, such as: 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 tail box cover, the front bumper, the rear bumper, etc.; in addition, it is worth mentioning that the film thickness measurement of each part of the paint is included, including: the inner edge of the front end of the hood and the right side of the bracket on the water tank. The middle of the water tank upper bracket, the left side of the water tank upper bracket, the middle of the water tank lower bracket, the left side of the water tank lower bracket, the right side of the water tank lower bracket, the front door hexagon locks on both sides, the front door hinges on both sides, the upper edge of the A pillars on both sides, and the middle of the A pillars on both sides , the lower edge of the A-pillar on both sides, the front end of the front and the lower sides of both sides, the front end of the front and rear sides of the two sides, the hinged hooks of the B-pillars on both sides, the upper end of the B-pillars on both sides, the hexagonal locks on both sides of the rear door, and the twists on both sides Chain, two sides, the middle and the bottom, the C-column hinges on both sides 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, middle of roof, left side of roof and right side of roof. The quality identification grading program 031 is further executable by the identification grading unit 03: analyzing each film thickness measurement photographing data to obtain a plurality of film thickness measurement results of various parts of the vehicle, and then measuring the results according to the plurality of film thickness measurements. Corresponding to the original factory data of the vehicle for comparison, for judging the use condition of the vehicle frame body, obtaining the vehicle frame identification data, and comprehensively judging according to the result of the difference comparison, the vehicle data, and the vehicle frame identification data. The quality of the vehicle is the result of the quality certification of the vehicle.

In the above, the identification and classification unit 03 transmits the measurement position data of the film thickness gauge to the car holder, and then the car owner performs shooting according to the measurement position data (as described in the previous paragraph). When the identification and classification unit 03 analyzes the film thickness measurement data, it mainly analyzes the values presented on the film thickness meter in the image to obtain the measurement result of the plurality of film thicknesses. It should be specially stated that the reason why the value presented on the film thickness meter can be analyzed and the value presented is further compared with the original factory data of the corresponding vehicle is that the image identification technology can further improve the number in the image. The image recognition technology covers the existing image recognition technology, pattern recognition technology, graphic recognition technology, etc., and the technology is understood by those skilled in the electronic computer field. No more details are listed.

In addition, the measurement result of the film thickness meter can be obtained by the above method or manually input by the vehicle owner. The implementation method is as follows: wherein the input unit 01 can input the film thickness measurement data of the paint of each part of the vehicle. The various parts of the vehicle are as described in the preceding paragraph, and will not be further described herein; the quality identification and classification program 031 is further executable by the identification and classification unit 03: according to the film thickness measurement data and the corresponding original vehicle data of the vehicle. Comparing, for judging the use condition of the vehicle frame body, obtaining the vehicle frame identification data, and comprehensively judging the quality of the vehicle according to the result of the difference comparison, the vehicle data, and the vehicle frame identification data to obtain the vehicle Quality identification results.

Moreover, the identification and classification unit 03 can clearly show the thickness of the vehicle body and the portion of the image to be photographed to the car holder as shown in the following table, so that the car holder can clearly know the required Provide the position of the film thickness information and the shooting position of each specific part of the car body.  1. Body number 2. Engine number 3. Front edge of hood front 4. Right side of bracket on water tank 5. Middle of bracket on water tank 6. Left side of bracket on water tank 7. Middle of water tank lower bracket 8. Left side of water tank lower bracket 9. Water tank lower bracket Right side 10. Right front door hex lock 11. Left front door hex lock 12. Right front door corner chain 13. Left front door corner chain 14. Right A column upper edge 15. Left A column upper edge 16. Right A column middle 17. Left A column Middle 18. The lower edge of the right A-pillar 19. The lower edge of the left A-pillar 20. The front-side front-down front-end front-end 21. The left-hand front-down front-end front-end 22. The right front-down front-end front-end 23. The left front-down front-end front end 24. Right side B-pillar angle chain hook seat 25. Left B-pillar angle chain hook seat 26. Right B-pillar upper end 27. Left B-pillar upper end 28. Right rear door hex lock 29. Left rear door hex lock 30. Right rear door corner chain 31. Left rear door corner Chain 32. Right rear lower middle middle 33. Left rear lower lower middle 34. Right C-column chain hook seat 35. Left C-column chain hook seat 36. Right C-pillar upper edge 37. Left C-pillar upper edge 38 The middle of the rear door (the cover) 39. The right side of the rear door (the cover) 40. The left side of the rear door (the cover) 41. The right rear tail plate 42. Left Left right center 46. The roof plate 47. The roof 43. The rear end of the right edge of the D-pillar 44. The left edge of the D-pillar 45. A roof

Furthermore, when the shooting position is the body number and the engine number (the difference between the body number and the engine number depending on the model), the system will identify and compare the numbers in the captured image with the image recognition technology. Know whether the body number and engine number have been changed or modified. When the vehicle has an accident, if the car body skeleton is damaged, it is bound to repair the skeleton, and the car body skeleton is coated with several layers of baking paint by the normalization procedure when the vehicle leaves the factory, and the quality of the paint layer of each part is 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 It is to add many non-original solder joints and joints, so it is possible to use image recognition technology to realize vehicle body identification and classification. In addition, since the original body data has been established in the vehicle quality identification and classification database 02 when the vehicle body is on the scene, the film thickness measurement value of the captured image can be obtained through image recognition technology by measuring the image of each specific position through the film thickness measurement. Vehicle body identification and grading can also be achieved through numerical comparison. As a practical example, if the shooting point is "the inner edge of the front end of the hood", the original frame will be covered with a layer of "golden rubber" on the inner edge of the front end of the hood. If it disappears, it can be judged that the hood may be repaired or replaced. Or the type of "golden rubber" is displayed in a seven-turn, irregular shape. It is also easy to know through the image recognition technology that the "golden rubber" is not Original processing. As another example, if the "front left front and lower household front end" is repaired by accident, there will be some new non-original solder joints such as spot welding and electric resistance welding. Even the paint film thickness will be re-sold after welding. When the spray is changed, it is easy to know that the "left front and lower front end" is processed by non-original products through image recognition and film thickness comparison. In addition, such as "corner chain" and "hexagonal lock" will be disassembled or replaced, so that the original paint film thickness changes (such as paint stripping), or a little displacement, can also be easily discerned by the new technical means.

3. Since the car body passes through the painted part, it will inevitably produce a color difference with the adjacent area. The color difference can be used to judge the use condition of the vehicle frame. The implementation method is as follows: the plurality of car conditions include multiple color difference meters (also It is called a colorimeter) to measure the paint color difference measurement photographs of various parts of the vehicle; the quality identification grade program 031 is further executable by the identification and classification unit 03: analyzing each paint color difference measurement photographing data to obtain a plurality of paint color difference measurement As a result, the paint color difference measurement result is compared with the original factory data of the vehicle to obtain the vehicle frame identification data, and the vehicle is comprehensively judged according to the difference comparison result, the vehicle data, and the vehicle frame identification data. The quality of the vehicle is determined by the quality of the vehicle. Here is also the use of image recognition technology to analyze and compare the values of the colorimeter in the captured data. The method is the same as the previous paragraph, and will not be repeated here. It is worth mentioning that in addition to the color difference identification by means of image recognition, the car holder can manually input the value to complete the color difference comparison.

In addition, in addition to the above, the engine condition is also an important factor influencing the quality of the vehicle. In order to improve the overall quality of the identification, the creation further incorporates the engine status into one of the judgment projects. The implementation method is: The photographing data includes a vibration measuring photographing data for measuring the operating condition of the vehicle engine by vibration; the quality appraisal and classifying program 031 is further executable by the appraisal and classifying unit 03: analyzing the vibrating measuring photographing data to obtain a vibration metering The test result is compared with the original factory data of the vehicle to obtain an engine condition data, and then the result of the difference comparison, the vehicle data, the vehicle body identification data, and the engine condition data are obtained. Comprehensively judging the quality of the vehicle to obtain the quality evaluation result of the vehicle. In the above, in addition to analyzing the measurement results of the vibrometer, the identification and classification unit 03 can also determine the engine condition through image recognition. In addition, in addition to measuring the operation of the vehicle engine by vibration, a vacuum gauge, a cylinder bed leaker, a tank pressure tester, an O ₂ oscilloscope, etc. can also be used, and the analysis and judgment process is consistent with the above vibration meter principle. I will not repeat them here.

When the vehicle engine is not shaking properly, it can be roughly judged as: (1) steam inlet system problem, (2) fuel injection system problem, (3) ignition system problem, (4) sensor problem; Measuring the vibration value of the engine can initially know the engine health 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 classification unit 03 is not limited to the above-mentioned part when analyzing and comparing the data of each vehicle condition, and also analyzes whether there is a sign of water in the inside of the body frame, the degree of loss of the interior, and the engine. Whether the number is the same as the body number, the wear of the brakes, the wear of the suspension positioning system, etc. are the key points of judgment and analysis, and are also one of the judgment indicators.

As far as the above is concerned, it is mainly to provide car holders with a quick knowledge of the quality appraisal results of the vehicles in their hands. For car owners, the result of the appraisal is another focus of attention, so that car owners can get quickly Knowing the current second-hand price of the vehicle in the hand, the new model can be further implemented as: wherein there is a price database 05, the price database 05 includes a plurality of vehicle reference reference data, and each vehicle reference reference data corresponds to a vehicle type. The identification and classification unit 03 further writes an evaluation program 032, and the evaluation program 032 can be executed by the identification and classification unit 03: a corresponding vehicle identification reference data is taken out from the price database 05 according to the vehicle type data. And determining an evaluation result according to the vehicle quality appraisal and classification result and the vehicle identification reference data, and then controlling the output unit 04 to output the evaluation result.

In addition, since the price of the vehicle in the secondary market is changing from time to time, the vehicle reference price reference data in the price database 05 is updated frequently, and the vehicle reference reference data is mainly used by each model. Market prices are dominant. .

Please refer to FIG. 2, the following is the action flow in the specific implementation of the present invention, to more clearly explain the advantages and features of the present invention:

First of all, 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 shooting data according to the prompt of the system and transmit it to the identification. a grading unit (step S1), and then, as described in step S2, the identification grading unit starts to take the corresponding vehicle original factory data for the vehicle data in the vehicle quality identification grading database as a basis for comparison, after analyzing the After the vehicle condition photographing data is compared with the original factory data of the vehicle, the vehicle quality identification grading result is obtained by judging the quality of the vehicle (step S3). Next, as shown in step S4, the identification and classification unit extracts the corresponding vehicle identification reference data in the price database based on the vehicle data as a basis for comparison, according to the vehicle quality identification and classification result, and The vehicle identification reference data determines the evaluation result (step S5). Finally, the identification classification unit 03 controls the output unit 04 to output the vehicle quality identification classification result and the evaluation result (step S6).

In particular, the first priority of the film thickness measurement target of the present invention is that the body frame is the primary measurement point, because the body frame is subject to alteration or repair, which is bound to be reflected in the original paint of the skeleton. The film thickness value above, this is a problem that is difficult to be overcome by general automobile repairing factories; on the contrary, if the car shell is painted outside, the general baking process may be able to easily overcome or even achieve the same level as the original paint. The film thickness test may have insufficient credibility; or a good car may cause damage to the original paint due to the difference in the use environment, or increase the film thickness due to the film, which affects the exterior paint of the body. One of the factors that the thickness is not controllable, therefore, the present invention focuses on the measurement of the film thickness by the vehicle frame body, thereby increasing the credibility of the vehicle quality identification and classification.

To sum up, the case is in accordance with the requirements of the Patent Law, and the patent application is filed according to law. The above description only lists the preferred embodiment of the novel creation. The scope of the case is still listed in the request.

S1~S6‧‧‧Steps

01‧‧‧Input unit

011‧‧‧Image Capture Unit

02‧‧‧ Vehicle Quality Identification and Classification Database

03‧‧‧ Identification and classification unit

031‧‧‧Quality Identification Ranker

032‧‧‧Certificate program

04‧‧‧Output unit

05‧‧‧Price database

FIG. 1 is a schematic diagram of the connection of various components of the present invention. FIG. 2 is a schematic diagram of the operation flow of the present invention.

Claims (10)

A vehicle quality appraisal grading system includes: an input unit: vehicle data for inputting a vehicle, and vehicle photographing data for multiple inside and outside of the vehicle, the vehicle data including a vehicle type data; a vehicle quality identification and classification database: including plural The original factory data of the vehicle, the original factory data of each vehicle respectively correspond to a vehicle type; an identification and classification unit: the information is connected to the input unit, the vehicle quality identification and classification database, and an output unit, and the identification and classification unit writes a quality identification and classification program. The quality appraisal grading program can be executed by the appraisal grading unit: according to the vehicle model data, a corresponding vehicle original factory data is taken out in the vehicle quality appraisal grading database, and the photographic data of each car condition is analyzed and compared with the original factory data of the vehicle. Comparing, according to the result of the difference comparison, and the vehicle data comprehensively judging the quality of the vehicle to obtain a vehicle quality appraisal and classification result, and then controlling the output unit to output the vehicle quality appraisal and classification result. The vehicle quality appraisal grading system according to claim 1, wherein the plurality of vehicle condition photographing materials include a plurality of vehicle specific location photographing materials, and the quality appraisal grading program is further executable by the appraisal grading unit: photographing specific positions of each vehicle The data is image-recognized, and the image recognition result is compared with the corresponding original vehicle data of the vehicle for judging the use condition of the vehicle frame body, obtaining a vehicle frame identification data, and then comparing the results according to the difference, The vehicle data and the vehicle frame identification data comprehensively determine the quality of the vehicle to obtain the vehicle quality identification and classification result. For example, the vehicle quality appraisal grading system described in claim 2, wherein the plurality of vehicle condition photographing materials include a plurality of film thickness measurement photographs of the paint thickness of each part of the vehicle by the film thickness measurement; the quality appraisal grading program is further available. The identification and classification unit performs: analyzing each film thickness measurement shooting capital The material is obtained by measuring the film thickness of the paint of each part of the vehicle, and then comparing the measured results of the plurality of film thicknesses with the corresponding original factory data of the vehicle for judging the use condition of the vehicle frame to obtain a vehicle. The frame identification data is further determined according to the result of the difference comparison, the vehicle data, and the vehicle frame identification data to determine the quality of the vehicle. The vehicle quality appraisal grading system according to claim 2, wherein the input unit is configured to input film thickness measurement data of the paint of each part of the vehicle; the quality appraisal grading program is further executable by the appraisal grading unit: The film thickness measurement data is compared with the corresponding original factory data of the vehicle for judging the use condition of the vehicle frame body, obtaining a vehicle frame identification data, and then comparing the result according to the difference, the vehicle data, The vehicle frame identification data comprehensively determines the quality of the vehicle to obtain the vehicle quality identification and classification result. For example, the vehicle quality appraisal and grading system described in claim 2, wherein the plurality of car condition photographing materials include a plurality of chromatic aberration measuring materials for measuring the paint color of each part of the vehicle by a color difference meter; the quality appraisal grading program is further available for the identification. The grading unit performs: analyzing each paint color difference measurement shooting data to obtain a plurality of paint chromatic aberration measurement results, and comparing the paint color difference measurement results with the original vehicle data of the vehicle to obtain a vehicle frame identification data, and then comparing the differences according to the difference As a result, the vehicle data and the vehicle frame identification data comprehensively determine the quality of the vehicle to obtain the vehicle quality identification and classification result. The vehicle quality appraisal and grading system according to any one of claims 2 to 5, wherein the plurality of vehicle condition photographing materials comprise a vibration measuring photographing data of a vehicle engine operating condition by vibration measurement; The grading program is further executable by the identification grading unit: analyzing the vibration measurement photographic data to obtain a vibration measurement result, and comparing the vibration measurement result with the original factory data of the vehicle to obtain an engine condition data, According to the results of the difference comparison, The vehicle data, the vehicle frame identification data, and the engine condition data comprehensively determine the quality of the vehicle to obtain the vehicle quality identification and classification result. For example, the vehicle quality appraisal grading system described in claim 6 includes a price database, the price database includes a plurality of vehicle reference reference data, and each vehicle reference reference data corresponds to a vehicle type; The identification grading unit further writes an evaluation program, and the evaluation program can be executed by the identification grading unit: according to the vehicle model data, a corresponding vehicle identification reference data is taken out from the price database, and then the vehicle quality identification is performed according to the vehicle identification data. The grading result and the vehicle identification reference data determine an evaluation result, and then the output unit is controlled to output the evaluation result. The vehicle quality appraisal and grading system of claim 1, wherein the input unit comprises an image capturing unit, wherein the image capturing unit is capable of photographing the inside and outside of a vehicle to obtain the shooting information of the vehicle condition. The vehicle quality appraisal and grading system of claim 8, wherein the vehicle condition photographing data comprises a built-in arranging data; the quality appraisal grading program is further executable by the evaluating unit: according to the tidying data and the The original factory data of the vehicle is compared and compared, and the quality grading result of the vehicle with the built-in tidy identification is obtained. The vehicle quality appraisal grading system according to claim 9, wherein the vehicle quality appraisal grading result includes a grading value; the quality appraisal grading program is further executable by the evaluating unit: when the grading value is lower than a pre When the value is set, the reason for affecting the quality identification result of the vehicle is analyzed, and the output unit is controlled to output the reason.