JP6844902B2 - Assessment support system, its server device, terminal, assessment support method - Google Patents

Description

The present invention relates to a method for supporting the assessment of exhibited vehicles in a used car auction.

When buying or selling a used vehicle, the work of "assessment" to judge the value of the exhibited vehicle is indispensable.

In this assessment work, for example, based on the development view of the vehicle, the bonnet, front right door, window, bumper, seat, etc. are classified into parts inside and outside the vehicle body, and the degree of damage is determined for each of these parts. It is done by the method.

Then, the value of the vehicle is comprehensively judged in consideration of the above assessment result based on the market price table and the like.

However, when determining the value of a vehicle based on human judgment such as assessment work, it may not be a universal price determination because it depends on individual experience and subjectivity.

For such a problem, for example, the prior art described in Patent Document 1 is known.
The prior art of Patent Document 1 is a method of evaluating the value of a used vehicle, in which a computer inputs a vehicle attribute information, a step of inputting damage data for each part of the vehicle, and each damage data. , The step of calculating the damage coefficient for each part based on the calculation condition of the damage coefficient corresponding to the damage amount set in advance for each part is executed.

Japanese Unexamined Patent Publication No. 2003-157371

As described above, the conventional used vehicle valuation work has a problem that the valuation result varies depending on the valuation worker in charge.

An object of the present invention is to provide a system, a terminal, a server device, a method, etc., which can reduce the variation of evaluation points for each assessment worker and thereby improve the reliability of the assessment evaluation result.

The assessment support system of the present invention is a system having a server device and a terminal, and has the following configuration.

The terminal has a search condition input unit that allows an arbitrary search condition related to the vehicle to be assessed to be input and transmits the search condition to the server device.

The server device includes a vehicle information storage unit that stores an image of each vehicle, and a search execution unit that requests the image that matches the search condition and returns the image to the terminal.

The terminal further has a display unit for displaying the returned image.

According to the assessment support system of the present invention, its terminal, server device, method, etc., the variation in evaluation points for each assessment worker can be reduced, and thus the reliability of the assessment evaluation result can be improved. ..

It is a schematic system block diagram of the auction system of this example. It is a figure (the 1) which shows the schematic operation of Example 1 of the assessment support system of this example. It is a figure (the 2) which shows the schematic operation of Example 1 of the assessment support system of this example. (A) and (b) are display examples (No. 1 and No. 2) of the assessment input tablet. This is a display example (No. 3) of the assessment input tablet. (A) and (b) are display examples (No. 4, No. 5) of the assessment input tablet. (A) to (c) are data configuration examples of each DB (database). This is an example of an evaluation score vote. It is a processing flowchart figure of the assessment input tablet of Example 1. (A) and (b) are processing flowcharts of the server of Example 1. This is a data configuration example of the exhibition slip data DB. It is a processing flowchart figure of the assessment input tablet of Example 2. (A) and (b) are processing flowcharts of the server of Example 1. This is an example of the data structure of the score reference data table. This is an example of the data structure of the total score judgment table. It is a functional block diagram of the assessment support system of this example. It is a computer hardware configuration diagram.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic system configuration diagram of the auction system of this example.

The shaving system of the illustrated example includes a shaving business server 10, a video server 20, an assessment input tablet 30, and various terminals (video input terminal 1, coordinator operating terminal 2, shaving person operating terminal 3, POS terminal 4). The auction business server 10 has a user data DB (database) 11 and an exhibition slip data DB 12. The video server 20 has a vehicle image DB 21.

To briefly explain each of these DBs (databases) 11, 12, and 21, the listing slip is stored in the listing slip data DB 12. The listing slip contains predetermined information about the exhibit (used vehicle in this case) to be exhibited at the auction. In this example, the predetermined information is, for example, an exhibition number, vehicle information (vehicle type; for example, manufacturer name, vehicle name, model, year, color, etc.), image file name, evaluation score, and the like.

Regarding the evaluation points, data is stored only for vehicles that have already been assessed, and there is no data for vehicles that have not been assessed. Further, the actual image data is stored in the vehicle image DB 21, and the image data corresponding to the image file name can be acquired from the video server 20.

Further, the coordinator operation terminal 2, the seri person operation terminal 3, and the POS terminal 4 also have an existing configuration. To briefly explain, the seri person operation terminal 3 is a terminal for the seri person to perform the seri. The device and the coordinator operating terminal 2 are terminal devices for the coordinator to adjust the price during the squeeze, and the POS terminal 4 is a terminal device for bidding.

Further, although not particularly shown, there may be a terminal device other than these terminal devices, such as a terminal device for inputting various data necessary for performing auction, such as the above-mentioned exhibition slip data. There may be.

The assessment input tablet 30 and each terminal 1, 2, 3 and 4 can access the seri business server 10 and the video server 20 via a network (a plurality of switches 5 (switching hubs), a router 6 and a communication line 7). It is possible to send and receive data to and from each other. In the illustrated example, the assessment input tablet 30 can access the business server 10 and the video server 20 via a router 6 (for example, a wireless Wi-Fi router) or the like. The video input terminal 1 can access the business server 10 and the video server 20 via a switch 5 or the like. The auction business server 10 can communicate with the video server 20 via the communication line 7.

Further, as an existing process, there is a process in which the exhibited vehicle is carried to the shooting room, an image of the exhibited vehicle is taken by the video input terminal 1 to which the camera 1a is connected, and this image is stored in the video server 20. .. The shooting with the camera 1a is performed for all the parts determined for each exhibited vehicle. For example, each part such as front bumper, rear bumper, bonnet, window, left door, right door, wheel, tire, seat, etc., front, whole, etc. are photographed, and these photographed images are squeezed from the video input terminal 1. It is transmitted to the server 10. When the auction business server 10 executes a predetermined registration process such as registering the file name of the photographed image on the exhibition slip of the exhibited vehicle, the auction business server 10 transfers the photographed image to the video server 20 and stores it.

In addition, the exhibited vehicle is carried to, for example, an inspection room after being photographed in the photography room, and is assessed by an assessment worker. In this example, each assessment worker has an assessment input tablet 30 and uses the assessment input tablet 30 during the assessment work. The assessment input tablet 30 causes the assessment worker to input arbitrary search conditions, and sends the search conditions to the business server 10. The auction business server 10 obtains a file name of an image that matches the search conditions, acquires this image from the video server 20, and returns it to the assessment input tablet 30. The assessment input tablet 30 displays the returned image. The returned image, that is, the image that matches the search condition is, for example, an image of a vehicle similar to the vehicle to be assessed. The assessment worker determines the evaluation point by visually recognizing the state of the target part (assessment point) of the vehicle to be assessed and comparing it with the image. By doing so, it is possible to suppress variations in the evaluation of each assessment worker. Details will be described later.

The auction business server 10 executes various existing processes related to the auction business while receiving access from the coordinator operation terminal 2 and the auction person operation terminal 3, but the description of the existing processes will be omitted. That is, the processing of the coordinator operation terminal 2 and the auction person operation terminal 3 and the existing processing in the auction business server 10 will be omitted except for the processing related to this method.

The auction business server 10 further has an assessment work support function by this method in addition to the existing processing function described above. This assessment work support function will be described in detail later, but as described above, it is a function for displaying an image matching the search conditions (for example, an image of a vehicle similar to the assessment target vehicle) on the assessment input tablet 30. is there.

In this example, as described above, the auction business server 10 has an assessment work support function, but the present invention is not limited to this example, and the video server 20 and another server (not shown) have an assessment work support function. It may be. Further, the function of the auction business server 10 and the existing function of the video server 20 may be mounted on one server device.

In this example, each valuation worker has an valuation input tablet 30 during the valuation work. Then, the assessment worker operates the assessment input tablet 30 at any time to display an image corresponding to an arbitrary search condition. When the assessment input tablet 30 transmits the search condition to the auction business server 10 in response to the above operation, the auction business server 10 extracts the image corresponding to the search condition from the video server 20 by the assessment work support function and the assessment input tablet. Reply to 30.

The assessment worker determines the evaluation points of the assessment target parts by displaying and comparing the images corresponding to the above search conditions while visually observing the assessment target parts in the current assessment target vehicle. The evaluation points may be determined by inputting numerical values, but the evaluation points may be the points corresponding to the selected images only by selecting an arbitrary image.

In the assessment input tablet 30, the assessment worker can arbitrarily input the above search conditions. The search conditions include, for example, identification information (exhibition number, etc.) of the current vehicle to be assessed, information indicating a part to be checked, and the like. Then, when an image corresponding to the search condition is sent, this image is displayed. This image is, for example, an image of a similar vehicle of the current assessment target vehicle and is an image related to the part to be checked.

The similar vehicle is, for example, a vehicle of the same type or a similar vehicle type as the vehicle type of the vehicle to be assessed, but is not limited to this example. However, in any case, it is necessary that the vehicle has already been assessed (hence, the evaluation point has been decided).

In addition, the definition of "vehicle type" or "similarity" in the above-mentioned "vehicle type of vehicle subject to assessment, same or similar vehicle type", etc. may be arbitrarily determined by the system developer, etc., and is not particularly clearly defined here. It shall be. For example, as an example, "vehicle type" = vehicle information (52, 82, 91) may be considered, but the present invention is not limited to this example. For example, as an example, the same vehicle type can be defined as a case where the vehicle name, grade, model, and model year all match, but the present invention is not limited to this example, and for example, it may be necessary to further match the colors. On the contrary, if the car names match, the same car model may be used. Further, a similar vehicle type can be defined as, for example, a case where a part (for example, two or more) of a vehicle name, a grade, a model, and a model year match, but the present invention is not limited to this example.

As an example, it is assumed that an evaluation point is attached to the image of the vehicle that has been assessed.
Then, as an example, the search condition includes a provisional evaluation point regarding the above-mentioned part to be checked of the vehicle to be assessed, which is arbitrarily set by the assessment worker. Then, an image relating to a part of a vehicle similar to the assessment target vehicle that is the same as the part to be checked and whose evaluation point is the same as the provisional evaluation point becomes an image that matches the search condition. By looking at this image, the assessor can confirm whether or not his / her own judgment (provisional evaluation point) is correct. If it is judged to be correct, the provisional evaluation point is used as the official evaluation point. On the other hand, if it is determined that the evaluation points are not correct, the provisional evaluation points are re-entered and the search conditions including the provisional evaluation points are transmitted again.

Not limited to this example, as another example, for example, the image corresponding to the search condition is an image corresponding to each evaluation point related to the above-mentioned check target part of the same vehicle model or similar vehicle model as the assessment target vehicle (referred to as a reference image). ). For example, 10 reference images corresponding to each of 1 to 10 points are returned to the assessment input tablet 30. In the assessment input tablet 30, for example, by displaying a list of these reference image groups and designating an arbitrary reference image, the evaluation points associated with the reference images are evaluated as the check target site (assessment point). Set as a point. The image to be used as the reference image may be arbitrarily determined by a predetermined person (for example, a veteran assessor), but for example, a typical image (large) according to each evaluation point. If a large number of the images are in the state of the image, it is desirable to use an image that seems to give the evaluation score).

In any of the above methods, the assessment worker visually determines the condition of the vehicle to be assessed and compares it with the image corresponding to the search condition to determine the evaluation point. As a result, it can be expected that the variation in evaluation for each assessment worker will be reduced, and thus the reliability of the assessment evaluation result will be improved.

The assessment support system related to this method is realized by, for example, a part of the configuration of the auction system of FIG. 1, for example, by the auction business server 10, the video server 20, and the assessment input tablet 30. It should be noted that the configuration may be such that the functions of both the auction business server 10 and the video server 20 are mounted on one server device.

2 and 3 show the schematic operation of the first embodiment of the assessment support system of this example. The detailed operation of the first embodiment will be described later with reference to a flowchart or the like. Further, the assessment support system of this example is not limited to the first embodiment, and may be the second embodiment described later. Note that FIGS. 2 and 3 show one process divided into two parts.

FIG. 4, FIG. 5, and FIG. 6 show display examples of the assessment input tablet 30. This display example basically corresponds to the first embodiment, but in the case of the second embodiment described later, a display example may be substantially the same except for FIG. 6 (b).

Hereinafter, with respect to the first embodiment, the schematic operations of FIGS. 2 and 3 will be described with reference to the display examples of FIGS. 4 to 6.

When an assessment worker possessing the assessment input tablet 30 activates the assessment input tablet 30 near any vehicle subject to assessment, the assessment input tablet 30 first displays the login screen shown in FIG. 4A. (Step S1 in FIG. 2).

The user ID and password entered by the assessment worker on the login screen are transmitted to the seri business server 10, and the login authentication process referring to the user data DB (database) 11 is executed on the seri business server 10 (step S4). .. A user ID, a user name, a password, and the like are registered in the user data DB 11, and if they match the entered user ID and password, the login is successful.

The auction business server 10 returns an NG response when the login fails, and returns the current holding time together with an OK response when the login is successful. The assessment input tablet 30 executes a predetermined error process when an NG response is returned, and displays, for example, the exhibition number input screen shown in FIG. 4B when an OK response is returned (step). S2). When the assessment worker inputs the exhibition number of the vehicle to be assessed on this screen, the assessment input tablet 30 transmits the exhibition number and the above-mentioned holding time to the business server 10.

An arbitrary exhibition number (identification number) is given to each exhibition vehicle at the time of listing. Various information about the exhibited vehicle is basically registered in the exhibition slip data DB 12 or the like in association with the exhibition number. In addition, each exhibited vehicle itself has its own exhibition number, which can be visually confirmed. In addition, the exhibition number is given so that it will not be duplicated at the same holding time, but it may be duplicated if the holding time is different. Therefore, the exhibited vehicle can be specified by "holding time + exhibition number".

When the auction business server 10 receives the holding times and the exhibition number transmitted from the assessment input tablet 30, the auction business server 10 searches the exhibition slip data DB 12 using these holding times and the listing number, and thereby, the listing slip of the vehicle subject to the assessment. It is checked whether or not the data is registered (step S5).

Then, if it is not registered, an NG response is returned to the assessment input tablet 30, from which the assessment input tablet 30 executes a predetermined error process.

On the other hand, if it is registered, an OK response is returned together with the vehicle information (vehicle type, etc.) of the vehicle to be assessed. At that time, the image data of the vehicle to be assessed may be acquired from the vehicle image DB 21 of the video server 20 and returned. In the case of this example, the auction business server 10 transfers the holding time and the exhibition number to the video server 20, and the video server 20 searches for and obtains the image of the exhibition vehicle specified by the holding time and the exhibition number. , This image is returned to the business server 10 (step S6). The auction business server 10 returns this image to the assessment input tablet 30 together with the above OK response and the like.

Upon receiving the OK response, the assessment input tablet 30 displays, for example, the assessment input screen 40 as shown in FIG. 5 (step S3).

In the example shown in FIG. 5, the assessment input screen 40 has data fields of auction information 41, vehicle information 42, exhibition slip 43, vehicle image 44, and numeric keypad 45. The auction information 41 displays the exhibition number and the like of the vehicle to be assessed. The vehicle information 42 displays the vehicle information (vehicle type, etc.) of the vehicle to be assessed, which was returned in step S5. A vehicle development drawing is displayed in the field of the exhibition slip 43.

As shown in the figure, nothing is displayed in the field of the vehicle image 44 in the initial state, but a list of images (images that can be used as reference in the assessment work) that match the search conditions described later are displayed. Details will be described later. The numeric keypad 45 allows an arbitrary number from 0 to 9 to be input, and for example, an arbitrary evaluation point is input.

Here, the vehicle development diagram will be described. The vehicle development view is, for example, an existing technique disclosed in Patent Document 1 and the like, and will be briefly described below.

As shown in the column of the exhibition slip 43, the vehicle development view shows the vehicle structure developed on a plane by dividing it into parts such as a bonnet, a right door, a left door, a window, and a bumper. When the assessment worker touches the display position of any part, this part is designated as the assessment point. As an example, when an assessment worker inputs an arbitrary evaluation point using the numeric keypad 45 after designating an assessment point, a provisional evaluation point regarding the assessment point is determined, but it has not been determined yet (hence, it is called a provisional evaluation point). .. In this method, after that, the evaluation points are determined based on the image that is displayed in the field of the vehicle image 44 as described above and is used as a reference in the assessment work. An example of this will be described below with reference to FIG.

FIG. 3 is a diagram showing a continuation of the process of FIG. By the process of step S3 of FIG. 2, the assessment input tablet 30 is in a state in which the initial state of the assessment input screen 40 as shown in FIG. 5 is displayed.

On the assessment input screen 40, the assessment worker specifies an arbitrary assessment point (touches the display position of an arbitrary part on the vehicle development view) and determines this assessment point of the assessment target vehicle based on his / her own judgment. The above-mentioned provisional evaluation points are input by operating the numeric keypad 45. The assessment input tablet 30 causes the assessment worker to perform such an input operation to recognize the input contents (assessment points, provisional evaluation points) (step S7).

The evaluation points are judged by the assessment worker visually observing the state of the assessment points (scratches, fading, etc.) in the vehicle to be assessed in front of him. This may be judged based on, for example, the evaluation score sheet as shown in FIG. 8, and this may be regarded as the same as the conventional judgment method. However, in this method, the input evaluation points are not yet finalized at this point, so they are called "provisional evaluation points".

The assessment input tablet 30 transmits the assessment points and provisional evaluation points input in step S7 and the vehicle information (vehicle type of the vehicle to be assessed, etc.) to the auction business server 10 as search conditions.

The auction business server 10 extracts image data that matches the above search conditions from the video server 20, and returns the extracted image to the assessment input tablet 30 (step S8). In FIG. 3, the processing of the auction business server 10 and the processing of the video server 20 are collectively shown as step S8 without distinction. The image data that matches the search conditions is assessed in, for example, a vehicle for which the assessment work has already been completed among the exhibited vehicles (thus, the image of each part and the evaluation point of each part are already stored). It is an image of a part of an assessment point related to a similar vehicle of the target vehicle and the evaluation point is the same as the provisional evaluation point.

The assessment input tablet 30 displays the returned image data in a list in the field of the vehicle image 44. From this, for example, the display state as shown in FIG. 6A is obtained. Here, it is assumed that 20 image data matching the above search conditions are returned, and an example in which these are listed in the field of the vehicle image 44 is shown.

Although only eight images are displayed in FIG. 6A, the above 20 images can be scrolled and displayed. Further, in the illustrated example, the provisional evaluation points are 8 points, so that the evaluation points of all 20 images are 8 points.

The assessment worker visually inspects the state of the assessment points (scratches, fading, etc.) in the vehicle to be assessed in front of him, compares them with the 20 images, and makes his own evaluation judgment based on whether they are similar or not (this example). Then, it is judged whether or not 8 points) is correct. At that time, by touching an arbitrary image, the image may be enlarged and displayed as shown in FIG. 6B. Then, for example, as shown in FIG. 6B, whether or not the provisional evaluation point may be formally determined as the evaluation point is selected and input by the "Yes" and "No" buttons (step S9).

When the assessment worker thinks that his / her evaluation judgment is correct, he / she selects and inputs the "Yes" button, and the above provisional evaluation points are confirmed and set as the evaluation points related to the assessment points of the vehicle to be assessed. Will be.

On the other hand, the assessor selects and inputs the "No" button when he / she thinks that his / her evaluation judgment is incorrect. In this case, the assessment input tablet 30 re-enters the provisional evaluation points, sends the above search conditions including the new provisional evaluation points to the business server 10, and outputs an image data group corresponding to the new provisional evaluation points. It will be acquired and displayed in a list. This process will be repeated until the assessor selects and inputs the "Yes" button.

Then, when the assessment worker selects and inputs the "Yes" button to determine the evaluation points of the above assessment points, the assessment worker is made to specify a new assessment point. For the new assessment points, the input of the provisional evaluation points → the transmission of the search conditions including the provisional evaluation points and the assessment points → the acquisition and list display of the image group matching the search conditions are performed in the same manner as described above. From this, similarly to the above, the images relating to the parts of the similar vehicle of the assessment target vehicle which are the same as the parts to be checked and whose evaluation points are the same as the provisional evaluation points are displayed in a list. The assessment worker confirms the evaluation points for new assessment points by selecting the "Yes" and "No" buttons while referring to these images.

Then, by repeating the above process, if the evaluation points are confirmed and input for all the assessment points, the assessment of this assessment target vehicle is completed, and the user moves to the installation location of the next assessment target vehicle and makes the same assessment. Work will be done.

As explained above, according to this method, the valuation worker visually checks the state of the valuation points (scratches, fading, etc.) in the vehicle to be assessed and compares it with the image of the same number of valuation points of similar vehicles. Therefore, it can be expected that the evaluation points will be close to the judgments of other assessment workers, the variation of the evaluation points for each assessment worker can be reduced, and the reliability of the assessment evaluation results can be improved. it can.

7 (a) to 7 (c) show an example of data structure of each DB (database).
First, the exhibition slip data DB 12 and the vehicle image DB 21 will be described with reference to the specific examples shown in FIGS. 7 (a) and 7 (c).

For example, the exhibition slip data table 50 shown in FIG. 7A is stored in the exhibition slip data DB 12. FIG. 7C is a data configuration example of the vehicle image DB 21. Note that FIGS. 7A and 7C schematically show the stored data of the exhibition slip data DB 12 and the vehicle image DB 21, and do not show all the stored data. For example, with respect to FIG. 7A, evaluation points (not shown) are also stored, and detailed examples will be shown later, for example, in FIG. Regarding FIG. 7C, not only the illustrated data but also the data management table (for example, the exhibition number of each exhibited vehicle) (for example, the file name and evaluation of various images of the exhibited vehicle are associated with the vehicle image DB 21). (Points and the like are stored) may be further stored.

The exhibition slip data table 50 includes an exhibition number 51, vehicle information 52, auction start price 53, vehicle image name 54, and the like. Vehicles put up for auction are given an auction number, which is an arbitrary identification number in the auction. In addition, predetermined information (vehicle type; for example, manufacturer name, vehicle name, grade, model, year, color, etc.) regarding the exhibited vehicle is input. This information is stored in the columns of the exhibition number 51 and the vehicle information 52. Further, a photograph of the exhibited vehicle is taken, the image file is given an arbitrary file name and stored in the vehicle image DB 21 (an example is shown in FIG. 7 (c)), and the image file name is the vehicle. It is stored in the column of the image name 54.

In the example shown in FIG. 7C, the image data 72 is stored in association with the file name 71 of each of the above images.

In the process of step S5, it is checked whether or not the exhibition number transmitted from the assessment input tablet 30 is registered in the exhibition slip data table 50, and if it is registered, an OK response is returned together with the vehicle information 52. To do. Alternatively, the image data of the vehicle image name 54 (for example, an image of the front of the vehicle) is acquired from the video server 20 and returned. That is, the vehicle type and the image of the vehicle to be assessed are returned to the assessment input tablet 30. However, you do not have to reply to the image.

Further, a specific example of the user data DB 11 shown in FIG. 7B will be described.
The user data table 60 of the illustrated example includes a user ID 61, a user name 62, a password 63, credit information 64, and the like. Each registered user is given a unique user ID, and is registered in the user ID 61, the user name 62, and the password 63 of the user data table 60 together with the user name and the like and the password and the like arbitrarily determined by the user. This registration work is performed manually by a human, for example, but will not be described in particular. Further, the credit information 64 will not be described in particular.

Hereinafter, Examples 1 and 2 will be described.
The data mainly used in the first embodiment are vehicle information (exhibition slip data) and images of the exhibited vehicle to which evaluation points have already been given. On the other hand, the data mainly used in the second embodiment is a typical image (referred to as a reference image) corresponding to each score, which is created based on the exhibition slip data and the like.

In both the first and second embodiments, the images listed on the assessment input tablet are further selected from the images of the designated parts (assessment points) related to the same vehicle type or similar vehicle type as the vehicle to be assessed. This point may not be mentioned one by one as a premise in the following explanation.

Then, in the first embodiment, based on the above premise, only the images of the points specified by the assessment worker are extracted, transmitted from the server to the assessment input tablet, and displayed in a list on the assessment input tablet. That is, the assessment worker first determines the score, and confirms whether or not the score is correct by comparing and visually recognizing the image of the other vehicle with the same score and the state of the vehicle to be assessed.

On the other hand, in the second embodiment, based on the above premise, the assessment worker does not specify the score, and the reference image corresponding to all the scores is provided and displayed. The assessment worker visually determines a reference image that most closely resembles the state of the vehicle to be assessed, and specifies this reference image, so that the score of this reference image becomes the evaluation score of the vehicle to be assessed.

Hereinafter, the first and second embodiments will be described in detail with reference to a flowchart or the like.

(1) Explanation of Example 1 FIGS. 9 and 10 are processing flowcharts of the first embodiment. It should be noted that this may be regarded as, for example, the detailed flow of the process of FIG. 3, and the process of FIG. 2 may be regarded as already executed, but the present invention is not limited to this example.

FIG. 9 shows the processing of the tablet 30, and FIGS. 10A and 10B show the processing of the server device.
In the following description, the assessment input tablet 30 will be simply referred to as the tablet 30.

In this description, the "server device" refers to the business server 10 and the video server 20 as a group, and the two servers will be described without any particular distinction. First, the seri business server 10 identifies the file name of the image data corresponding to the search condition from the tablet 30, acquires the image data of this file name from the video server 20, and returns it to the tablet 30. .. Further, the configuration may be such that the "seri business server 10" and the "video server 20" are actually realized on one server device.

The processing of the tablet 30 shown in FIG. 9 is started, for example, after the assessment input screen 40 is displayed on the display of the tablet 30, but is not limited to this example.

Although not described one by one, the processing of FIG. 9 described below is, of course, executed by the computer of the tablet 30.

In the processing example of the tablet 30 shown in FIG. 9, first, arbitrary search conditions (exhibition number of the vehicle to be assessed, assessment points (parts to be assessed), points (provisional evaluation points above), etc.) are input to the assessment worker. It is specified (steps S11 and S12), and this search condition is transmitted to the "server device" (step S13). After that, when there is reply data (list of images matching the search conditions) from the "server device" (steps S14, YES), this list of images is displayed (step S15). An example of this image list display is shown in FIG. 6A.

The image that matches the search condition first satisfies the above premise (an image of a designated part (assessment point) related to the same vehicle model or a similar vehicle model as the vehicle to be assessed). Then, based on this premise, in the first embodiment, the evaluation point is the same as the above-designated provisional evaluation point. If assessment points = "bumper" and points (provisional evaluation points) = "8 points" are specified as search conditions, the above image list is similar to the vehicle to be assessed and the evaluation points of the bumper. Is a group of images of vehicle bumpers with 8 points.

Then, every time the assessor selects an arbitrary image from the image list, the selected image is enlarged and displayed, and "The image has the same score as the vehicle currently being assessed." 8 points "is fine. Is it? "Yes" and "No" buttons are displayed together with a message such as "(step S16). An example of this display is shown in FIG. 6 (b).

Then, when "Yes" is input (steps S17, YES), the provisional evaluation point input in step S12 is determined and set as the evaluation point of the assessment point of the vehicle to be assessed (step S19). For example, the evaluation points of the bumper of the vehicle to be assessed are fixed and set to 8 points. Then, the process returns to step S12, and another assessment point and a provisional evaluation point are input. As for another assessment point, an image of a similar vehicle is displayed and the assessment worker visually confirms the evaluation point to determine the evaluation point in the same manner as described above.

If "No" is input (steps S18, YES), the process returns to step S12, and the score (provisional evaluation score) is re-entered. For example, if the assessor determines that the condition of the vehicle to be assessed is relatively poor compared to the eight images, the score is set to "7 points" (the assessment points remain the same), and this time. Will display a list of images of the bumper of the exhibited vehicle with a bumper evaluation score of 7.

On the other hand, if neither "Yes" nor "No" is selected (for example, touch the enlarged image) (steps S17 and S18 are NO), the enlarged image is erased, the process returns to step S16, and the image list is arbitrary again. Select the image of and enlarge it.

In the examples shown in FIGS. 9 and 10, the search condition includes the exhibition number of the vehicle to be assessed, and the "server device" side performs the process of specifying the vehicle type of the exhibition vehicle of this exhibition number one by one. The process is not limited to this example, and the processes shown in FIGS. 2 and 3 may be performed. Although not shown, when the process of FIG. 9 is the process according to the examples of FIGS. 2 and 3, the exhibition number of the vehicle to be assessed that was input at the time of the process of step S11 is sent to the "server device". To acquire the model of the exhibited vehicle. From this, in the process of step S13, the vehicle type is used instead of the exhibition number as the search condition. Further, in the case of this example, the "server device" does not require the process of step S31 described later.

Next, the "server device" process of FIGS. 10A and 10B will be described below.
FIG. 10A is an overall process of the “server device”, and FIG. 10B is a detailed flow of step S22.

As shown in FIG. 10A, in the “server device”, each time a search condition is sent from the tablet 30 in step S13 (steps S21, YES), the exhibition slip data DB 12 is referred to, and the like. The file name of the image that matches the search condition is obtained, the image data of the obtained file name is extracted, and the extracted image group is returned to the tablet 30 (step S22).

A detailed example of the process of step S22 is shown in FIG. 10 (b).
Further, an example of data configuration of the exhibition slip data DB 12 is shown in FIG.

For example, the exhibition slip data table 80 shown in FIG. 11 is stored in the exhibition slip data DB 12.

The exhibition slip data table 80 shown in FIG. 11 includes an exhibition number 81, vehicle information 82, an estimated auction start price 83, a vehicle image name 84, and the like. For each holding time, the exhibition slip data table 80 for the holding time is created. The exhibition number 81 and the vehicle information 82 of the exhibition slip data table 80 store the identification number and the vehicle information (manufacturer name, model, year, color, etc.) of the exhibited vehicle. The vehicle image name 84 stores an image file name for each part of the exhibited vehicle having the exhibition number 81. In the illustrated example, the image file name in which the image of each part such as the bumper, the window, the wheel, and the right door is stored is stored in the column of the vehicle image name 84. In the case of an assessed vehicle, the evaluation score of the part is added to the image file name. In the illustrated example, for example, the evaluation point of the bumper of the first record is 7 points. In the illustrated example, evaluation points are given to all of them, but evaluation points are not given to image file names (not shown) related to unassessed vehicles.

Hereinafter, the process of FIG. 10B will be described with reference to the specific example of FIG.
First, the "server device" searches the exhibition slip data table 80 using the exhibition number in the search condition, obtains the corresponding record, and extracts the vehicle information 82. That is, the vehicle information (vehicle type, etc.) of the vehicle to be assessed is acquired (step S31).

Then, in the exhibition slip data table 80, all the vehicle image names corresponding to the search conditions are extracted from the records (records of similar vehicles) in which the vehicle information 82 is the same as the vehicle information of the vehicle to be assessed (steps S32 and S33). .. The "vehicle image name corresponding to the search condition" is an image of the part of the assessment point in the search condition, and the evaluation point is the same as the provisional evaluation point in the search condition. In the example of FIG. 11, if the assessment points = "window" and the points = "9 points" in the search conditions, the illustrated 0001-b.jpg and 0003-b.jpg will be extracted.

Then, the image data of the extracted vehicle image name is acquired and returned to the tablet 30 (step S34). In the configuration example of FIG. 1, the auction business server 10 executes the processes of steps S31, S32, and S33, and in step S34, the image data of the extracted vehicle image name is acquired from the video server 20.

By the process described above, according to the assessment support system of the first embodiment, an image of a portion of the assessment point related to a similar vehicle of the vehicle to be assessed and the evaluation point is the same as the provisional evaluation point is extracted. , Listed on the tablet 30. From this, the assessment worker can confirm whether or not the score (provisional evaluation score) decided by his / her own judgment is correct by comparing and visually checking the image of another vehicle with the same score and the state of the vehicle to be assessed. it can. That is, the final evaluation point can be determined with reference to the judgments of other assessment workers regarding similar vehicles. Therefore, it is possible to reduce the variation in the evaluation points for each assessment worker, and thereby improve the reliability of the assessment evaluation results.

(2) Explanation of Example 2 FIGS. 12 and 13 are processing flowcharts of the second embodiment. It should be noted that this may be regarded as, for example, the detailed flow of the process of FIG. 3, and the process of FIG. 2 may be regarded as already executed, but the present invention is not limited to this example.

FIG. 12 shows the processing of the tablet 30, and FIGS. 13A and 13B show the processing of the “server device”. As in the case of FIG. 10, the "server device" is a combination of the auction business server 10 and the video server 20.

In the case of the process of the second embodiment shown in FIGS. 12 and 13, in addition to the exhibition slip data table 80, the score reference data table 90 shown in FIG. 14 is arbitrarily created by a human in advance and stored in the exhibition slip data DB 12. It is assumed that it has been done. The score reference data table 90 is created based on the exhibition slip data table 80, for example, as an example.

For example, it is assumed that the exhibition slip data table 80 stores data on a large number of exhibited vehicles that have been exhibited in the past, and stores image data of various states of various vehicle types. Further, as described above, the image of each part is given an evaluation point of that part. Therefore, by using these, it can be expected that images corresponding to all the evaluation points for each part can be obtained for various vehicle types. Such an image is referred to as a reference image corresponding to each evaluation point. When there are multiple corresponding images for any evaluation point of any part of any vehicle type, for example, a reference image is an image showing the typical content that the person in charge thinks is the most appropriate as the score. However, it is not limited to this example. For example, in this way, the score reference data table 90 as shown in FIG. 14 is created.

FIG. 14 is a diagram showing a data configuration example of the score reference data table 90.
In the illustrated example, the score reference data table 90 includes vehicle information 91, part name 92, check classification 93, and vehicle image name (reference image) 94. The vehicle information 91 is information indicating the vehicle type (manufacturer name, model, grade, year, grade, color, etc.), and here, for the sake of simplicity, only the same vehicle type (GT type, 12 year model, red) is shown. , The vehicle type of the vehicle to be assessed is also described as "GT type, 12 year model, red", but in reality, information on various vehicle types is registered in the score reference data table 90.

The color may not be included in the vehicle model, but here, the color is also treated as one of the vehicle model information.

The part name 92 is the name of each part of the vehicle, and may be a window, a door, a bonnet, a bumper, or the like. Check classification 93 is the reason for deduction (scratches, dents, fading, stains, etc.) at the time of assessment.

In the vehicle image name (reference image) 94, a file name of image data corresponding to each evaluation point related to the check classification 93 regarding the part of the vehicle type part name 92 of the vehicle information 91 is stored (hereinafter, hereinafter, It may be referred to as reference image 94). For example, as described above, the image file name arbitrarily selected by a human from the image data group of each exhibited vehicle that has already been assessed is stored in the reference image 94. Such an image is referred to as a reference image. Here, it is assumed that the evaluation points are in 10 stages of 1 to 10 points, and the reference image 94 stores the file names of 10 reference images corresponding to each evaluation point of 1 to 10 points. And.

Further, here, it is assumed that the actual image data file is stored in the vehicle image DB 21 of the video server 20, but the present invention is not limited to this example.

In the illustrated example, for example, in the case of the first record, the vehicle information 91 (vehicle type, etc.) is "GT type, 12 year model, red", the part name 92 is "left door", and the check classification 93 is "scratch". "0001-a.jpg, 0001-b.jpg, ..., 0001-j.jpg" (reference image file name corresponding to each score of 1 to 10 points) is stored in the reference image 94. There is. "0001-a.jpg" is an image of the left door relating to a vehicle whose vehicle type is "GT type, 12 year model, red" and whose evaluation point of the left door is 1 point due to scratches. 0001-b.jpg is an image of the left door relating to a vehicle whose vehicle type is "GT type, 12 year model, red" and whose evaluation score of the left door is 2 points due to scratches.

The example shown in FIG. 14 is an example and is not limited to this example. For example, the data structure may not have the check classification 93. In this example, in the reference image 94, file names of typical images corresponding to each evaluation point related to an arbitrary part of an arbitrary vehicle type are stored in a mixed manner without distinguishing scratches, dents, stains, and the like. Will be done.

Hereinafter, first, the processing of the tablet 30 of FIG. 12 will be described.
In the processing example of FIG. 12, the tablet 30 first causes the assessment worker to input and specify arbitrary search conditions (exhibition number of the vehicle to be assessed, assessment points, etc.) (steps S41 and S42), and sets the search conditions as "server". It is transmitted to the device (step S43). Note that, unlike the first embodiment, the search conditions do not include points (provisional evaluation points).

After that, if there is reply data (list of images corresponding to the search condition) from the "server device" (step S44, YES), this image list is displayed (step S45). If the assessment point = "bumper" is specified, this image list will be each image corresponding to each point of 1 to 10 points of the bumper of the same vehicle type or similar vehicle type as the vehicle to be assessed.

Then, every time the assessor selects and specifies an arbitrary image from the image list, this image is enlarged and displayed, and the message "Is this image most similar?" And the "Yes" and "No" buttons are displayed. (Step S46). Then, when "Yes" is selected (step S47, YES), it is determined that the image of this enlarged image is definitely designated, and the evaluation point of this enlarged image is the evaluation point of the above-mentioned assessment point of the vehicle to be assessed. (Step S48).

On the other hand, when "No" is selected (step S47, NO), the enlarged display is turned off and the process returns to step S46, and an arbitrary image is selected and specified again.

When the process of step S48 is executed, the process returns to step S42 and another assessment point is specified. For other assessment points, as in the above, by displaying 1 to 10 reference images and selecting and specifying the reference image that most closely resembles the assessment point state of the vehicle to be assessed, the assessment points can be determined. Evaluation points are determined and set.

In the examples shown in FIGS. 12 and 13, the search condition includes the exhibition number of the vehicle to be assessed, and the "server device" side performs the process of specifying the vehicle type of the exhibition vehicle with this exhibition number one by one. It is not limited to this example. Although not shown, for example, during the process of step S41, the input exhibition number of the vehicle to be assessed is sent to the "server device" to acquire the vehicle type of the exhibited vehicle. From this, in the process of step S43, the vehicle type is used instead of the exhibition number as the search condition. Further, in the case of this example, the "server device" does not need to process step S61, which will be described later.

Next, the "server device" process of FIGS. 13 (a) and 13 (b) will be described below.
FIG. 13A is an overall process of the “server device”, and FIG. 13B is a detailed flow of step S52.

As shown in FIG. 13A, in the “server device”, each time a search condition is sent from the tablet 30 in step S43 (steps S51, YES), the score reference data table 90 is referred to, and so on. The file name of the reference image that matches this search condition is obtained, the reference image data (with evaluation points) of the obtained file name is extracted, and the extracted reference image group (with evaluation points) is returned to the tablet 30 (with evaluation points). Step S52).

Hereinafter, the processing of FIG. 13B will be described with reference to a specific example of the score reference data table 90 of FIG.

In the processing example of FIG. 13B, first, the processing in step S61 is the same as that in step S31, and the description thereof will be omitted.

Next, the score reference data table 90 is searched using the vehicle information (vehicle type, etc.) obtained in step S61 and the assessment points of the search conditions, and the part name 92 is the same or similar to the vehicle to be assessed. Is the same as the assessment point, and all the vehicle image names (reference images) 94 of the record are extracted (step S62). Then, all the image data (with evaluation points) of the extracted vehicle image name is acquired (acquired from the video server 20 in the configuration example of FIG. 1), and the data is returned to the requesting tablet 30 (step S63).

If the vehicle type to be assessed is "GT type, 12 year model, red" and "left door" is specified as the assessment point, the "server" is the "part name" shown in the figure. All the vehicle image names 94 (reference image file names) of the four records in which 22 is the "left door" are extracted, and the image data (with evaluation points) of the acquired reference image file names are acquired, and the acquired images are obtained. The data group is returned to the tablet 30 as a search result.

The tablet 30 lists the returned image data group in the field of the vehicle image 44. In this example, this image list is a group of images corresponding to each evaluation point of 1 to 10 points relating to the left door related to the same vehicle type or similar vehicle type as the vehicle to be assessed.

When the assessment worker sequentially enlarges and displays each image and finds an image in a state closest to the state of the left door of the vehicle to be assessed, this image is confirmed and designated. The tablet 30 sets the evaluation point of the confirmed and designated image as the evaluation point of the left door of the vehicle to be assessed. For example, if the image of 0001-b.jpg shown in FIG. 14 is definitely designated, the evaluation points of the left door of the vehicle to be assessed will be 2 points.

In this way, the assessment worker does not need to judge the evaluation points of each part of the vehicle to be assessed, and compares each reference image while visually recognizing the state of the assessment points of the conductor to be assessed, and the most similar reference. Just select an image and an appropriate evaluation point will be set.

* Modification example 1
The second embodiment is not limited to the example shown in FIGS. 12 to 14 above. For example, when step S47 is YES, the message "Do you want to specify another image?" Is displayed, and "Yes" and "No" are displayed. A button may be displayed for selection. Then, in the case of "Yes", a plurality of images may be confirmed and specified by returning to step S46.

Then, when there are a plurality of reference images that have been confirmed and designated in this way, a total score is obtained based on a plurality of evaluation points corresponding to the plurality of reference images, and this total score is used as the assessment point of the vehicle to be assessed. It may be decided and set as an evaluation point.

As a specific method for realizing this example, for example, an example using the total score determination table 100 shown in FIG. 15 can be considered, but the example is not limited to this example.

FIG. 15 is a diagram showing a data configuration example of the total score determination table 100.
In the total score determination table 100, a total score 104 corresponding to any combination of evaluation points of each of a plurality of check classifications (scratches 101, fading 102, and dent 103 are shown in the illustrated example, but is not limited to this example) is provided. It is stored.

Then, for example, the assessment worker has 9 points related to scratches and 7 points related to fading from a plurality of reference images displayed as described above for any assessment points of the vehicle to be assessed. When a point image is selected and specified, the tablet 30 refers to, for example, the total point determination table 100 shown in FIG. 15, and the corresponding total point 104 is 6 points. The evaluation points of are determined and set to 6 points.

* Modification example 2
The second embodiment is not limited to the example shown in FIGS. 12 to 14, and for example, the tablet 30 may be made to further input and specify a check classification as a search condition. If the assessment worker visually recognizes the state of the assessment point of the vehicle to be assessed and the limiting factor is only scratches, it is considered that only the image related to the scratches needs to be displayed.

In this example, if the vehicle type to be assessed is "GT type, 12 year model, red", and "left door" is specified as the assessment point and "scratch" is specified as the check classification, The "server" is a record in which the illustrated "part name" 22 is a "left door" and the check classification 93 is a "scratch", that is, the first record is the corresponding record. Then, all the vehicle image name 94 (reference image file name) of the corresponding record is extracted, the image data of the acquired reference image file name is acquired, and the acquired image data group is returned to the tablet 30 as a search result. In this way, the assessment worker may specify "assessment point" & "check classification" as the search condition.

FIG. 16 is a functional block diagram of the assessment support system of this example.
The assessment support system of the illustrated example has a server device 210 and a terminal 220. Data can be transmitted and received between the server device 210 and the terminal 220 via the network 200. An example of the terminal 220 is the assessment input tablet 30, and an example of the server device 210 is the auction business server 10 and the video server 20, but the present invention is not limited to these examples.

The server device 210 includes a vehicle information storage unit 211, a search execution unit 212, and the like.
Images of each vehicle are stored in the vehicle information storage unit 211. An example of the vehicle information storage unit 211 is the exhibition slip data DB 12 and the vehicle image DB 21, but the present invention is not limited to this example.

The terminal 220 has a search condition input unit 221 and a display unit 222, and either an evaluation point determination unit 223 or an evaluation point determination unit 224.

The search condition input unit 221 causes an arbitrary search condition related to the vehicle to be assessed to be input, and transmits the search condition to the server device 210.

The search execution unit 212 searches for an image that matches the above search conditions from the images stored in the vehicle information storage unit 211, and returns the image to the terminal 220.

The display unit 222 displays the returned image.
The assessment worker determines the evaluation point of the vehicle to be assessed by referring to this image display.

Regarding the functions of the server device 210 and the terminal 220 described above, for example, the search condition includes predetermined information about the vehicle to be assessed and provisional evaluation points, and the evaluation points are associated with each of the images. The image that matches the above search condition is an image of a similar vehicle of the above-mentioned assessment target vehicle, and the evaluation point is the same as the above-mentioned provisional evaluation point.

As a further example, the predetermined information regarding the assessment target vehicle is the vehicle type of the assessment target vehicle, and the similar vehicle of the assessment target vehicle is a vehicle of the same vehicle type or a similar vehicle type as the assessment target vehicle.

Further, as an example, the terminal 220 further has the evaluation point determination unit 223 for selecting whether or not to determine the provisional evaluation point as the evaluation point after the image is displayed by the display unit 222.

As a more specific example, the vehicle information storage unit 211 stores evaluation points and images for each part of each exhibited vehicle, and the search conditions include the parts to be assessed in the vehicle to be assessed and their provisional evaluation. An image that includes points and matches the search conditions is an image of a part that is the same as the part to be assessed and whose evaluation point is the same as the provisional evaluation point.

Alternatively, regarding the functions of the server device 210 and the terminal 220, as another example, the search condition includes predetermined information regarding the vehicle to be assessed, and each image is associated with an evaluation point. The images that match the search conditions are the images corresponding to the evaluation points of the similar vehicles of the assessment target vehicle.

Then, in the case of the other example, for example, the display unit 222 of the terminal 220 displays a list of each image corresponding to each of the evaluation points, and the terminal 220 displays an arbitrary image from the displayed images. Further having the evaluation point determination unit 224 for selecting an image and determining the evaluation point of the selected image as the evaluation point of the vehicle to be assessed.

Further, in the case of the other example, for example, the predetermined information regarding the assessment target vehicle is the vehicle type of the assessment target vehicle, and the similar vehicle of the assessment target vehicle is the same vehicle type or the similar vehicle type as the assessment target vehicle. It is a vehicle.

Further, in the case of the other example, as a more specific example, the vehicle information storage unit 211 stores an image corresponding to each evaluation point for each part of each vehicle type, and the search condition includes the image. The images that include the vehicle type of the vehicle to be assessed and the parts to be assessed and that match the search conditions are the images corresponding to each evaluation point related to the parts to be assessed of the same vehicle type as the vehicle to be assessed. Is. Then, in the case of this specific example, the display unit 222 of the terminal 220 further displays a list of each image corresponding to each evaluation point related to the portion to be assessed, and the evaluation point determination unit 224 displays the image. An arbitrary image may be selected from each of the displayed images, and the evaluation point of the selected image may be determined as the evaluation point related to the assessment target part of the assessment target vehicle.

FIG. 17 shows a hardware configuration example of a computer 230 such as the server device 210, the terminal 220, the auction business server 10, the video server 20, and the assessment input tablet 30.

The computer 230 in the illustrated example has a configuration in which a CPU 231, a storage unit (HDD, ROM, etc.) 232, a RAM 233, a communication I / F 234, a display unit 235, an input unit 236, and the like are connected to a bus 237. In the case of the server device 210, the auction business server 10, and the video server 20, the display unit 235 and the input unit 236 are not always necessary. In the case of the terminal 220 or the assessment input tablet 30, the display unit 235 is a display and the input unit 236 is a touch panel.

The computer 230 can communicate with another computer (not shown) via the communication I / F (interface) 234 connected to the network 200.

The CPU 231 is an example of an arithmetic processor. A predetermined application program is stored in advance in the storage unit 232. Further, arbitrary data (for example, various databases 11, 12, 21, etc.) is stored in the storage unit 232.

When the CPU 231 executes the application program, various processing functions such as the server device 210, the terminal 220, the auction business server 10, the video server 20, and the assessment input tablet 30 (FIGS. 2, FIG. 3, FIG. 9, FIG. 10 (a) (b), the processes of FIGS. 12 and 13 (a) and 13 (b), the processing functions of the various functional units shown in FIG. 16 and the like) are realized.

1 Video input terminal 1a Camera 2 Coordinator operation terminal 3 Seri person operation terminal 4 POS terminal 5 Switch 6 Router 7 Communication line 10 Seri business server 11 User data DB (database)
12 Exhibition slip data DB
20 Video server 21 Vehicle image DB
30 Assessment input tablet 40 Assessment input screen 41 Auction information 42 Vehicle information 43 Listing slip 44 Vehicle image 45 Numeric keypad 50 Listing slip data table 51 Listing number 52 Vehicle information 53 Scheduled start price 54 Vehicle image name 60 User data table 61 User ID
62 Username 63 Password 64 Credit information 71 File name 72 Image data 80 Listing slip data table 81 Listing number 82 Vehicle information 83 Seristart estimated price 84 Vehicle image name 90 Point reference data table 91 Vehicle information 92 Part name 93 Check classification 94 Vehicle Image name (reference image)
100 Total score judgment table 101 Scratch 102 Fading 103 Depression 104 Total score 200 Network 210 Server device 211 Vehicle information storage unit 212 Search execution unit 220 Terminal 221 Search condition input unit 222 Display unit 223 Evaluation point determination unit 224 Evaluation point determination unit 230 Computer 231 CPU
232 Storage unit (HDD, ROM, etc.)
233 RAM
234 Communication I / F
235 Display unit 236 Input unit 237 Bus

Claims (12)

A system that has a server device and a terminal
The terminal
It has a search condition input unit that allows an arbitrary search condition including predetermined information related to the vehicle to be assessed and a provisional evaluation point to be input and transmits the search condition to the server device.
The server device
A vehicle information storage unit that stores information including an image of each exhibited vehicle and an evaluation point associated with the image, and
From the images of the exhibited vehicle stored in the vehicle information storage unit, the image matching the search condition is an image of a similar vehicle of the assessment target vehicle, and the evaluation point is the provisional evaluation point. It has a search execution unit that requests the same image and returns it to the terminal.
The terminal
An assessment support system characterized by further having a display unit for displaying the returned image. The predetermined information regarding the vehicle subject to assessment is the vehicle type of the vehicle subject to assessment.
Similar vehicles of the assessment target vehicle assessment support system according to claim 1, characterized in that the vehicle of the assessment target vehicle and same model or similar models. The assessment according to claim 1 or 2 , wherein the terminal further has an evaluation point determination unit for selecting whether or not to determine the provisional evaluation point as an evaluation point after the image is displayed by the display unit. Support system. The vehicle information storage unit stores evaluation points and images for each part of each exhibited vehicle.
The search condition includes a part to be assessed and a provisional evaluation point thereof in the vehicle to be assessed.
Any of claims 1 to 3 , wherein the image that matches the search condition is an image of a part that is the same as the part to be assessed and whose evaluation point is the same as the provisional evaluation point. Assessment support system described in Crab. The search condition includes predetermined information about the vehicle to be assessed, and the search condition includes.
Evaluation points are associated with each of the images.
The assessment support system according to claim 1, wherein the image matching the search condition is an image corresponding to each evaluation point of a similar vehicle of the assessment target vehicle. The display unit of the terminal displays each image corresponding to each evaluation point, and displays each image.
The terminal is further characterized by having an evaluation point determination unit that allows an arbitrary image to be selected from each of the displayed images and determines the evaluation point of the selected image as the evaluation point of the vehicle to be assessed. The assessment support system according to claim 5. The predetermined information regarding the vehicle subject to assessment is the vehicle type of the vehicle subject to assessment.
The assessment support system according to claim 5 or 6 , wherein the similar vehicle of the assessment target vehicle is a vehicle of the same vehicle type or a similar vehicle type as the assessment target vehicle. The vehicle information storage unit stores images corresponding to each evaluation point for each part of each vehicle type.
The search condition includes the vehicle type of the vehicle to be assessed and the part to be assessed.
Images, according to claim 6, characterized in that the respective images corresponding to each of the assessment respective evaluation points according to a target site of a vehicle of the assessment target vehicle and same model or similar models that match the search criteria Assessment support system. The display unit of the terminal displays each image corresponding to each evaluation point related to the part to be assessed.
The evaluation point determination unit selects an arbitrary image from each of the displayed images, and determines the evaluation point of the selected image as the evaluation point related to the assessment target part of the assessment target vehicle. 8. The assessment support system according to claim 8. A search condition input unit that allows an arbitrary search condition including predetermined information related to the vehicle to be assessed and a provisional evaluation point to be input and transmits the search condition to the server device.
As the image that matches the search condition returned from the server device according to the search condition, an evaluation point that is an image of a similar vehicle of the assessment target vehicle and is associated with the image of each exhibited vehicle is said. A display unit that displays an image that is the same as the provisional evaluation point,
A terminal characterized by having. A vehicle information storage unit that stores information including an image of each exhibited vehicle and an evaluation point associated with the image, and
Among the images of the exhibited vehicle stored in the vehicle information storage unit, the image that matches the search condition including predetermined information related to the vehicle to be assessed and a provisional evaluation point transmitted from an arbitrary terminal is described as the above. A search execution unit that seeks an image of a similar vehicle of the vehicle to be assessed and whose evaluation point is the same as the provisional evaluation point and returns it to the terminal.
A server device characterized by having. It is an assessment support method in a system that has a server device and a terminal.
The terminal causes the terminal to input arbitrary search conditions including predetermined information related to the vehicle to be assessed and a provisional evaluation point, and transmits the search conditions to the server device.
The server device is an image of a similar vehicle of the assessment target vehicle as an image matching the search condition from the images of each exhibited vehicle stored in advance, and is associated with the image of the exhibited vehicle in advance. A request for an image whose evaluation point is the same as the provisional evaluation point is replied to the terminal.
The terminal is an assessment support method characterized by displaying the returned image.