Information processing apparatus

Abstract

To provide an assessment system capable of easily coping with various states being different for each article.SOLUTION: An image acquisition unit 113 acquires data on a captured image of a target terminal 2 captured by a scanner 6 as image information. Based on results of analysis of the image information acquired by the image acquisition unit 113, a damage estimation unit 105 estimates a damaged region 210 indicating a position and a size of each of one or more damages that may be present on a surface of the target terminal 2. Based on estimation results by the damage estimation unit 105, a state acquisition unit 112 acquires information on a state of each of the one or more portions of the target terminal 2 as state information. An evaluation unit 102 evaluates a state of the target terminal 2 based on information including at least the state information on each of the one or more portions of the target terminal 2. Thus, the above problem is solved.SELECTED DRAWING: Figure 9

Description

Technical Field

[0001] The present invention relates to an information processing apparatus.

Background Art

[0002] Conventionally, there has been a technology for supporting the appraisal of articles (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, there is a demand for the development of an appraisal system that can easily cope with various states that are different for each article. However, the conventional technologies including Patent Document 1 do not sufficiently meet such demands.

[0005] The present invention has been made in view of such circumstances, and an object thereof is to provide a technology that can easily and objectively evaluate the state of an article.

Means for Solving the Problems

[0006] To achieve the above object, an information processing apparatus according to an aspect of the present invention includes: a first acquisition unit that acquires, as image information, data of a captured image of a predetermined article captured by a predetermined imaging device; an estimation unit that estimates a region indicating the position and size of each of one or more damages that may exist on the surface of the predetermined article based on a result of analyzing the image information acquired by the first acquisition unit; a second acquisition unit that acquires, as state information, information regarding the state of each of one or more parts of the predetermined article based on a result of the estimation by the estimation unit; Evaluation means for evaluating the state of the article based on information including at least the state information of each of the above-mentioned parts of 1 or more; It is provided with.

Effect of the Invention

[0007] An object of the present invention is to provide a technique capable of easily and objectively evaluating the state of an article.

Brief Description of the Drawings

[0008]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0009] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0010] [First Embodiment] First, with reference to FIG. 1, an overview of a service (hereinafter referred to as "this service") to which the information processing system (see FIG. 2 described later) to which the information processing apparatus of the present invention is applied will be described.

[0011] FIG. 1 is a diagram showing an overview of this service that can be realized by an information processing system including a server according to a first embodiment of the information processing apparatus of the present invention.

[0012] FIG. 1 depicts a service provider P, a server 1 managed by the service provider P, a user U, a target terminal 2 operated by the user U, a person in charge G, and a store terminal 3 operated by the person in charge G. This service is an example of a service provided by the service provider P to the user U or the person in charge G. According to this service, the user U can easily have the state of the target terminal 2 owned by himself / herself evaluated. For this reason, for example, when the user U intends to sell the target terminal 2 through the person in charge G, the user U can easily have the amount that can be obtained by the sale (hereinafter referred to as the "purchase price") appraised. Also, as the person in charge G of the store that conducts the business of purchasing the target terminal 2, the purchase price of the target terminal 2 can be easily appraised, so there is no need to have special knowledge or experience in advance. For this reason, a great merit can be enjoyed in terms of cost reduction required for employee education.

[0013] Specifically, when appraising the purchase price of the target terminal 2, in step SS1, the server 1 used for providing this service acquires at least the following information as information about the target terminal 2 (hereinafter referred to as "terminal information"). That is, the server 1 acquires information about the model of the target terminal 2 (hereinafter referred to as "model information") and information indicating the state (hereinafter referred to as "status information").

[0014] Among the terminal information obtained by Server 1, the "device model information" includes information such as the type of the target terminal 2 (e.g., smartphone, tablet, feature phone, etc.), communication carrier, manufacturer, model number, and the like. In addition, the "status information" includes, as unique information of the target terminal 2, information such as the presence or absence of scratches, the state of the protective film attached at the time of factory shipment, the usage state of accessories, the state of the packing material (e.g., box), the state of the sealing tape, and the state of opening.

[0015] In addition, among the status information, the "presence or absence of scratches" includes, for example, as shown in FIG. 1, the scratch state of each of a plurality of parts constituting the surface of the target terminal 2. That is, in this service, as a plurality of parts constituting the surface of the target terminal 2, the scratch states of the liquid crystal surface a, the back surface b, the upper part c, the lower part d, the left side surface e, and the right side surface f are acquired as status information. Note that there is no particular limitation on how to capture the plurality of parts constituting the surface of the target terminal 2. For example, it may be captured by dividing it into six parts: the liquid crystal surface a, the back surface b, the upper part c, the lower part d, the left side surface e, and the right side surface f. Also, for example, as shown in FIG. 1, each of the liquid crystal surface a, the back surface b, the upper part c, the lower part d, the left side surface e, and the right side surface f may be further divided into four parts and captured. In this case, for example, the liquid crystal surface a is divided into liquid crystal surfaces a1 to a4, and the scratch states of each of the parts of the liquid crystal surfaces a1 to a4 are acquired as status information. Similarly, the back surface b is divided into back surfaces b1 to b4, the upper part c is divided into upper parts c1 to c4, the lower part d is divided into lower parts d1 to d4, the left side surface e is divided into left side surfaces e1 to e4, and the right side surface f is divided into right side surfaces f1 to f4, and the scratch states are respectively acquired as status information. Specifically, for example, as shown in FIG. 1, when there is a scratch V on the back surface b1, information indicating that fact is included in the status information.

[0016] As described above, the state information acquired by the state acquisition unit 112 includes information regarding the state of each of a plurality of parts constituting the surface of the target terminal 2. That is, even if the scratches on the target terminal 2 are of the same size, depth, and nature, the difference in the impact on the usability, function, and aesthetics due to the position is large, so the impact on the purchase price is also large. Specifically, for example, among the scratches on the back surface b of the target terminal 2, a small scratch on the camera lens and a large scratch in an inconspicuous position, the former scratch may have a greater impact on the purchase price. For this reason, as described above, the surface of the target terminal 2 is finely divided into a plurality of parts, and the impact on the purchase price for each part where a scratch has occurred is set in detail. As a result, it becomes possible to quickly and easily perform an appropriate appraisal of the purchase price for each target terminal 2.

[0017] In addition, in this service, as state information, not only information that can be determined by the above-described appearance but also information that cannot be determined unless the target terminal 2 is activated, such as the following, is acquired. That is, information regarding whether the target terminal 2 can be initialized, information regarding whether the target terminal 2 operates normally, information regarding whether a predetermined lock is applied by a theft prevention service or the like, and the like are acquired as state information. Among these, the information regarding whether the target terminal 2 operates normally includes information regarding the state of the functions of the target terminal 2, such as the accuracy and sensitivity of various sensors, the results of operation confirmation and quality confirmation of the liquid crystal screen, microphone, speaker, and various buttons. Furthermore, information regarding the presence or absence of a remaining balance when an electronic payment service is used using the target terminal 2, information regarding whether it is in a state where it is not tied to a carrier and can be contracted with any communication company (hereinafter referred to as "SIM-free"), and information regarding the presence or absence of accessories (hereinafter referred to as "genuine accessories") regularly provided by the manufacturer of the target terminal 2 are also acquired as state information.

[0018] As described above, when the model information and the state information as terminal information are acquired in step SS1, in step SS2, the server 1 calculates a score indicating the size of the defect of the target terminal 2 (hereinafter referred to as "defect score"). The "defect score" is a score that serves as the basis for determining the rank and purchase price of the target terminal 2 described later. The higher the value, the greater the defect of the target terminal 2, and the lower the purchase price accordingly. Specifically, for example, depending on the state of the target terminal 2, the following defect scores are set. That is, in the target terminal 2, if there are no scratches, the "0 points" is set; if there are a few scratches, the "1 point" is set; if there are many scratches, the "2 points" is set; if there are no scratches, the "0 points" is set; if the caps or covers of the charging terminal, SIM slot, SD card slot, etc. are missing, the "100 points" is set; if there are cracks or breaks, the "1000 points" is set, and so on for the defect scores. For example, as shown in FIG. 1, when the scratch V on the back surface b1 is the only scratch, "1 point" is counted as the defect score. Also, when the scratch V on the back surface b1 is more equivalent to a crack or a break rather than a scratch, "1000 points" is counted as the defect score.

[0019] In this way, when the defect score is calculated in step SS2, in step SS3, the server 1 ranks the target terminal 2. The ranking of the target terminal 2 is performed based on the defect score calculated in step SS2. When the ranking is performed, one of the ranks of S〇, S△, A〇, A△, B〇, B△, C〇, C△, D〇, D△, J1, and J2 is assigned to the target terminal 2.

[0020] Specifically, among the 12 - level ranks, the S rank ("S〇" or "S△") is the rank assigned when it is determined from the terminal information of the target terminal 2 that the target terminal 2 is a so - called "new product". Specifically, the target terminal 2 is ranked as the S rank ("S〇" or "S△") when it satisfies all of the following conditions (S1) to (S6). That is, when all of the following conditions are met: (S1) the film at the time of factory shipment is not peeled off, (S2) there are no scratches, (S3) the accessories are unused, (S4) there are no stains, dents, etc. on the box (packaging material), (S5) the sealing seal is not peeled off, and (S6) it is unopened, it is ranked as S rank (either "S〇" or "S△"). Therefore, if the target terminal 2 does not meet any of the above conditions (S1) to (S6), it will be ranked below A rank.

[0021] Here, the "〇" or "△" attached after "S" in "S〇" or "S△" is a display indicating whether network restrictions are imposed depending on the payment status of communication fees, etc. In this case, "〇" indicates that the payment has been made (completed), and "△" indicates that the payment is incomplete or in the process of installment payment, and it can be used without problems at the current time. The "〇" and "△" attached after each of the A to D ranks are the same. Regarding whether network restrictions are imposed, in addition to "〇" and "△", there are also "×" and "-". Among these, "×" indicates that the payment of the fee is overdue and usage restrictions are imposed, and "-" indicates that the information is not reflected for reasons such as incorrect entry of the manufacturing number or the period immediately after the contract. When the network restriction is indicated by "×" or "-", the target terminal 2 becomes "not buyable".

[0022] If any of the above conditions (S1) to (S6) is not met, it will be ranked in any of the A to J ranks. Hereinafter, the ranking conditions will be described in order from J, the lowest rank.

[0023] Among the 12 - level ranks, the J rank (either "J1" or "J2") is the rank assigned when it is determined from the terminal information of the target terminal 2 that the target terminal 2 is a so - called "junk product". Specifically, the target terminal 2 is ranked as J2 rank when it meets all of the following conditions (J2a) to (J2d). That is, when all of the following conditions are satisfied: (J2a) cannot be initialized, (J2b) the power cannot be turned on, (J2c) the password is unknown, and (J2d) a predetermined lock is applied due to an anti-theft service or the like, it is ranked as J2 rank.

[0024] In addition, the target terminal 2 is ranked as J1 rank when all of the following conditions (J1a) to (J1d) are satisfied. That is, when all of the following conditions are satisfied: (J1a) can be initialized, (J1b) the liquid crystal screen is cracked, (J1c) the exterior is damaged, and (J1d) there is a problem with the operation, it is ranked as J1 rank.

[0025] Among the 12-level ranks, the D rank (either "D〇" or "D△") is assigned to the target terminal 2 as the D rank (either "D〇" or "D△") when the target terminal 2 satisfies any one of the following conditions (D1) to (D3) based on the terminal information of the target terminal 2. That is, when any one of the following conditions is satisfied: (D1) a cap, cover, or the like is missing, (D2) there are cracks or breaks in the exterior (however, if the liquid crystal screen is cracked, it becomes J1 rank), and (D3) there are white dots, spots, or burns on the liquid crystal screen, it is ranked as the D rank (either "D〇" or "D△").

[0026] Among the 12-level ranks, the C rank (either "C〇" or "C△") is a rank assigned when it is determined from the terminal information of the target terminal 2 that the target terminal 2 is a so-called "used product". Specifically, the target terminal 2 is ranked as the C rank (either "C〇" or "C△") when it satisfies the condition of "there are obvious scratches on the appearance".

[0027] Among the 12-level ranks, the B rank (either "B〇" or "B△") is a rank assigned when it is determined from the terminal information of the target terminal 2 that the target terminal 2 is a so-called "good product". Specifically, although the target terminal 2 does not fully satisfy the condition of (S2) having no scratches among the above conditions (S1) to (S6), it is ranked in the B rank (「B〇」and 「B△」) when it satisfies both (B1) having no scratches on the liquid crystal screen and (B2) having no scratches on the appearance.

[0028] Among the 12 - level ranks, the A rank (「A〇」or 「A△」) is the rank assigned when it is determined from the terminal information of the target terminal 2 that the target terminal 2 is a so - called "nearly new product". Specifically, the target terminal 2 is ranked in the A rank (「A〇」and 「A△」) when it satisfies the condition of (2) having no scratches among the above conditions (1) to (5).

[0029] In this way, when the ranking is performed in step SS3, in step SS4, the server 1 determines the purchase price of the target terminal 2. The determination of the purchase price of the target terminal 2 is made based on the result of the ranking in step SS3.

[0030] Note that in this service, when determining the purchase price of the target terminal 2, the following information acquired as status information is considered. That is, when determining the purchase price of the target terminal 2, information regarding the presence or absence of a remaining debt when an electronic payment service was used using the target terminal 2, information regarding whether it is SIM - free, and information regarding the presence or absence of genuine accessories are considered.

[0031] In this case, for example, if an electronic payment service was used using the target terminal 2 and there is a remaining debt, the purchase price is determined to be an amount 500 yen less than the original purchase price. That is, an adjustment to the purchase price is made. Also, for example, if it is SIM - free, the purchase price is determined to be an amount 1000 yen more than the original purchase price. Also, for example, if there are genuine accessories, the purchase price is determined to be an amount with a predetermined amount added to the original purchase price.

[0032] In this way, when the purchase price is determined in step SS4, in step SS5, the server 1 presents the rank attached to the target terminal 2 or the purchase price of the target terminal 2 to the target terminal 2 or the store terminal 3. Note that when the target terminal 2 is of S rank (new), it is not presented to the target terminal 2, of course.

[0033] In this way, the user U who sells the target terminal 2 or the person in charge G of the store who appraises the purchase price of the target terminal 2 can easily confirm the specific purchase price of the target terminal 2 just by providing the terminal information (model information and status information) of the target terminal 2.

[0034] Next, with reference to FIG. 2, an example of the configuration of an information processing system that realizes the provision of the above-described service, that is, a server 1 according to a first embodiment of the information processing apparatus of the present invention will be described. FIG. 2 is a diagram showing an example of the configuration of an information processing system including a server according to a first embodiment of the information processing apparatus of the present invention.

[0035] The information processing system shown in FIG. 2 is configured to include a server 1, a target terminal 2, and a store terminal 3. Note that when the target terminal 2 is simply held for sale, it does not constitute an information processing system. However, hereinafter, it will be described on the premise that the target terminal 2 is not simply held for sale but is operated by the user U. Each of the server 1, the target terminal 2, and the store terminal 3 is connected to each other via a predetermined network N such as the Internet.

[0036] The server 1 is managed by the service provider P and executes various processes for realizing this service while appropriately communicating with each of the target terminal 2 and the store terminal 3.

[0037] The target terminal 2 is an information processing apparatus operated by the user U and is composed of, for example, a smartphone, a tablet, or the like. Specifically, a dedicated application software (hereinafter referred to as "dedicated app") necessary for using this service is installed on the target terminal 2. The user U uses this service by using the dedicated app.

[0038] The store terminal 3 is an information processing device operated by the person in charge G of the store, and is composed of, for example, a personal computer, a smartphone, a tablet, etc. Specifically, a dedicated app is installed on the store terminal 3. The person in charge G uses this service by using the dedicated app.

[0039] FIG. 3 is a block diagram showing an example of the hardware configuration of the server in the information processing system shown in FIG. 2.

[0040] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0041] The CPU 11 executes various processes according to the program recorded in the ROM 12 or the program loaded from the storage unit 18 into the RAM 13. In the RAM 13, data and the like necessary for the CPU 11 to execute various processes are also appropriately stored.

[0042] The CPU 11, ROM 12, and RAM 13 are interconnected via the bus 14. The input / output interface 15 is also connected to this bus 14. The input unit 16, output unit 17, storage unit 18, communication unit 19, and drive 20 are connected to the input / output interface 15.

[0043] The input unit 16 is composed of, for example, a keyboard or the like and outputs various information. The output unit 17 is composed of a display such as a liquid crystal display, a speaker, etc., and outputs various information as images and sounds. The storage unit 18 is composed of a DRAM (Dynamic Random Access Memory), etc., and stores various data. The communication unit 19 communicates with other devices (for example, the target terminal 2 and the store terminal 3 in FIG. 2) via a network N including the Internet.

[0044] A removable medium 30 made of a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, etc. is appropriately mounted on the drive 20. The program read from the removable medium 30 by the drive 20 is installed in the storage unit 18 as necessary. Also, the removable medium 30 can store various data stored in the storage unit 18 in the same manner as the storage unit 18.

[0045] Although not shown in the figure, the target terminal 2 and the store terminal 3 in FIG. 2 can also have a configuration basically the same as the hardware configuration shown in FIG. 3. Therefore, the description of the hardware configuration of the target terminal 2 and the store terminal 3 is omitted.

[0046] Through the cooperation of various hardware and various software of the server 1 in FIG. 3 like this, it becomes possible to execute various processes including the appraisal support process in the server 1. As a result, the service provider P can provide the above-mentioned service to the user U and the person in charge G. The "appraisal support process" refers to the process executed to provide the above-mentioned service. Specifically, it refers to the process executed to appraise the appropriate purchase price of the target terminal 2. Hereinafter, the functional configuration for executing the appraisal support process executed in the server 1 will be described.

[0047] FIG. 4 is a functional block diagram showing an example of the functional configuration for executing the appraisal support process among the functional configurations of the server in FIG. 3.

[0048] As shown in FIG. 4, in the CPU 11 of the server 1, when the execution of the appraisal support process is controlled, the acquisition unit 101, the evaluation unit 102, the determination unit 103, and the presentation unit 104 function. Also, in an area of the storage unit 18 of the server 1, a terminal DB 181 and an evaluation DB 182 are provided.

[0049] The acquisition unit 101 acquires terminal information including model information and status information. In the acquisition unit 101, a model acquisition unit 111 and a status acquisition unit 112 function.

[0050] The model acquisition unit 111 acquires the model information of the target terminal 2. Specifically, the model acquisition unit 111 acquires, as the model information of the target terminal 2, information such as the type of the target terminal 2 (for example, smartphone, tablet, feature phone, etc.), communication carrier, manufacturer, model number, etc. The model information acquired by the model acquisition unit 111 is managed in association with information that uniquely identifies the target terminal 2 in the terminal DB 181.

[0051] The status acquisition unit 112 acquires, as status information, information regarding the status of each of one or more parts in the target terminal 2. Specifically, when at least a part of the information regarding the status of each of the liquid crystal surface a, back surface b, upper part c, lower part d, left side surface e, and right side surface f as one or more parts in the target terminal 2 is input into a predetermined input form (hereinafter referred to as "smartphone medical record"), the status acquisition unit 112 acquires, as status information, the information obtained from the input result. The status information acquired by the status acquisition unit 112 is managed in association with information that uniquely identifies the target terminal 2 in the terminal DB 181.

[0052] The evaluation unit 102 evaluates the status of the target terminal 2 based on information including at least the status information acquired by the status acquisition unit 112. Specifically, the evaluation unit 102 ranks the target terminal 2 based on the terminal information including the model information acquired by the model acquisition unit 111 and the status information acquired by the status acquisition unit 112. The result of the evaluation by the evaluation unit 102 is managed in association with the information that uniquely identifies the target terminal 2 in the evaluation DB 182.

[0053] The determination unit 103 determines the purchase price of the target terminal 2 based on the result evaluated by the evaluation unit 102. Specifically, the determination unit 103 determines the purchase price of the target terminal 2 based on the ranking result by the evaluation unit 102. The purchase price determined by the determination unit 103 is managed in association with the information that uniquely identifies the target terminal 2 in the evaluation DB 182.

[0054] The presentation unit 104 presents the purchase price of the target terminal 2 determined by the determination unit 103 to the user U or the person in charge G. Specifically, the presentation unit 104 presents the information indicating the purchase price of the target terminal 2 determined by the determination unit 103 to the target terminal 2 or the store terminal 3. Thereby, the user U or the person in charge G who is presented with the information indicating the purchase price of the target terminal 2 can easily confirm the specific purchase price of the target terminal 2.

[0055] FIG. 5 is a diagram showing a specific example of a smartphone record.

[0056] The ranking in this embodiment is performed based on the input content to the smartphone record displayed by the dedicated application installed in the target terminal 2 or the store terminal 3. Specifically, as shown in the smartphone record of FIG. 5, as "Determination 1", an input for determining whether the target terminal 2 is an S rank or other (A rank or lower) is performed. That is, when all of the above conditions (S1) to (S6) are satisfied, a check box corresponding to the set work restriction state is checked. In the example of FIG. 5, since the check box for setting the network restriction state to "〇" is checked, it will be ranked as the S〇 rank.

[0057] When any one or more of the above conditions (S1) to (S6) are not satisfied, a determination for ranking is made among ranks A to J. Specifically, as shown in the smartphone medical record of FIG. 5, as "Determination 2", an input for determining which rank among ranks A to J the target terminal 2 belongs to is performed.

[0058] That is, for the upper part (c), left side (e), right side (f), and lower part (d) of the target terminal 2, inputs are made to the corresponding check boxes regarding the state of scratches (none, few, many), the presence or absence of cracks or fractures, and the presence or absence of caps or covers. Also, for the liquid crystal surface (a), inputs are made to the corresponding check boxes regarding the state of scratches (none, few, many), the presence or absence of cracks or fractures, and the presence or absence of liquid crystal defects (white dots, spots, or burns). Also, for the back surface (b), inputs are made to the corresponding check boxes regarding the state of scratches (none, few, many) and the presence or absence of cracks or fractures.

[0059] Also, inputs are made to the corresponding check boxes regarding whether the target terminal 2 can be initialized, whether the target terminal 2 operates normally, and whether a predetermined lock is applied by a theft prevention service or the like.

[0060] Also, inputs are made to the corresponding check boxes regarding the presence or absence of remaining debt when an electronic payment service was used, whether it is SIM-free, and the presence or absence of genuine accessories. As described above, when an input is made to the check box of the smartphone medical record by the user U or the person in charge G, the target terminal 2 is ranked based on the input content.

[0061] FIG. 6 is a diagram showing a specific example of ranking of the target terminal.

[0062] In FIG. 6(A), classification criteria for ranking corresponding to whether the target terminal 2 can be initialized, whether the target terminal 2 operates normally, and whether a predetermined lock is applied by a theft prevention service or the like are shown. Specifically, classification is performed according to the classification of the smartphone medical record in FIG. 5. That is, in the smartphone medical record of FIG. 5, when the target terminal 2 can be initialized, it is classified as "no X", and when the target terminal 2 cannot be initialized, it is classified as "yes X". Also, when the target terminal 2 operates normally, it is classified as "no Y", and when the target terminal 2 does not operate normally, it is classified as "yes X". Further, when no predetermined lock is applied by a theft prevention service or the like, it is classified as "no Z", and when a predetermined lock is applied by a theft prevention service or the like, it is classified as "yes Z".

[0063] Among these, for example, in the case of "no X", "no Y", "no Z", that is, when the target terminal 2 can be initialized, the target terminal 2 operates normally, and no predetermined lock is applied by a theft prevention service or the like, it is classified as "pattern 1". Also, for example, in the case of "no X", "no Y", "yes Z", that is, when the target terminal 2 can be initialized, the target terminal 2 operates normally, and a predetermined lock is applied by a theft prevention service or the like, it is classified as the J2 rank. Also, for example, in the case of "no X", "yes Y", "no Z", that is, when the target terminal 2 can be initialized, the target terminal 2 does not operate normally, and no predetermined lock is applied by a theft prevention service or the like, it is classified as the J1 rank. For example, in the case of "X absent", "Y present", "Z present", that is, when the target terminal 2 can be initialized but does not operate normally and is in a state where a predetermined lock is applied by a theft prevention service or the like, it is classified into the J2 rank.

[0064] For example, in the case of "X present", "Y absent", "Z absent", that is, when the target terminal 2 cannot be initialized, the target terminal 2 operates normally, and is in a state where a predetermined lock is not applied by a theft prevention service or the like, it is classified into the J2 rank. For example, in the case of "X present", "Y absent", "Z present", that is, when the target terminal 2 cannot be initialized, the target terminal 2 operates normally, and is in a state where a predetermined lock is not applied by a theft prevention service or the like, it is classified into the J2 rank. For example, in the case of "X present", "Y present", "Z absent", that is, when the target terminal 2 cannot be initialized, the target terminal 2 does not operate normally, and is in a state where a predetermined lock is not applied by a theft prevention service or the like, it is classified into the J2 rank. For example, in the case of "X present", "Y present", "Z present", that is, when the target terminal 2 cannot be initialized, the target terminal 2 does not operate normally, and is in a state where a predetermined lock is applied by a theft prevention service or the like, it is classified into the J2 rank. Regarding other examples of classification according to the classification of the smartphone medical record, it is as shown in FIG. 6(A).

[0065] FIG. 6(B) shows specific examples of the ranking conditions based on the classification in FIG. 6(A). Specifically, the target terminal 2 classified as "Pattern 1" in the classification of FIG. 6(A) and having a defect score of "0 points" is ranked as Rank A. Also, the target terminal 2 classified as "Pattern 1" in the classification of FIG. 6(A) and having a defect score of "1 to 10 points" is ranked as Rank B. Further, the target terminal 2 classified as "Pattern 1" in the classification of FIG. 6(A) and having a defect score of "11 to 32 points" is ranked as Rank C. Additionally, the target terminal 2 classified as "Pattern 1" in the classification of FIG. 6(A) and having a defect score of 100 points even once is ranked as Rank D. Moreover, the target terminal 2 having a defect score of 1000 points even once is ranked as Rank J1. Also, regardless of the defect score, there are target terminals 2 ranked as Rank J1 or Rank J2 according to the classification of FIG. 6(A).

[0066] [Second Embodiment] Here, in this service in the above-described embodiment, for example, so-called AI (Artificial Intelligence) can also be used. In this case, for example, it is possible to appraise the purchase price without creating the above-described smartphone medical record. This will be specifically described below with reference to FIGS. 7 and 8.

[0067] FIG. 7 is a diagram showing the details of this service that can be realized by an information processing system including a server according to a second embodiment of the information processing apparatus of the present invention.

[0068] Looking at FIG. 7, for example, a specific example of imaging the target terminal 2 is shown on the left side of FIG. 7. That is, in the example of FIG. 7, imaging of the target terminal 2 fixed on the turntable 5 (fixture) is performed by the microscope 4. On the right side of FIG. 7, a management image 300 including an example of an image captured by the microscope 4 is displayed. Here, looking at the image including the target terminal 2 displayed in the image 200, a plurality of damaged areas 210 are displayed on the surface of the target terminal 2. The damaged area 210 refers to an area of damage (scratches) presumed to exist on the surface of the target terminal 2. The damaged area 210 can be estimated by AI (artificial intelligence). In this case, the damaged area 210 is automatically detected using a machine learning method such as deep learning by AI (artificial intelligence). That is, AI (artificial intelligence) performs deep learning using past appraisal results and the like as teacher data, and automatically determines the presence or absence of scratches that affect the appraisal. Also, for example, the damaged area 210 can be specified based on the result of comparing the image captured by the microscope 4 (for example, the image 200) with the image of the target terminal 2 in a new product state previously stored in the server 1 or the like. The comparison can also be performed by AI (artificial intelligence).

[0069] The damaged area 210 can also be detected, for example, when a value indicating the size of the scratch exceeds a predetermined threshold. Specifically, for example, the damaged area 210 can be detected using a rule-based method such as detecting scratches with a length of XX mm or more. Thereby, the threshold value can be arbitrarily changed according to the nature and situation of the target terminal 2. By estimating the damaged area 210, it becomes possible to easily appraise the purchase price without the intervention of human judgment. As a result, it is not necessary for the person in charge G to have special knowledge and experience in advance.

[0070] FIG. 8 is a diagram showing a different example from FIG. 7 among the specific examples of this service that can be realized by an information processing system including a server according to a second embodiment of the information processing apparatus of the present invention.

[0071] Referring to FIG. 8, for example, at the upper part of FIG. 8, among the specific examples of imaging the target terminal 2, an example different from the above-described FIG. 7 is shown. That is, in the example of FIG. 8, imaging of the target terminal 2 by the scanner 6 is performed. Although only one surface (the back surface) of the outer surface of the target terminal 2 is depicted as being imaged in FIG. 8, this is just an example, and imaging by the scanner 6 can be performed for each of the six surfaces (the liquid crystal surface, the back surface, the upper part, the lower part, the left side surface, and the right side surface) of the target terminal 2. At the lower part of FIG. 8, an image 400 captured by the scanner 6 is displayed. Here, looking at the target terminal 2 shown in the image 400, similar to the image 200 of FIG. 7 described above, a plurality of damage regions 210 are displayed on the surface of the target terminal 2. Thus, it is possible to detect the damage on the surface of the target terminal 2 without missing any. Also, in the example of FIG. 8 as well, similar to the example of FIG. 7, in the detection of the damage region 210, a threshold can be set for the size of the detected damage. Further, the damage region 210 can also be detected using an opportunity learning method such as deep learning. Hereinafter, the process of estimating the damage region of each of one or more parts in the target terminal 2 as shown in FIGS. 7 and 8 is referred to as "damage region estimation process".

[0072] FIG. 9 is a functional block diagram showing an example of the functional configuration for executing the damage region estimation process shown in FIGS. 7 and 8 among the functional configurations of the server in FIG. 3. Although not shown in the figure, both the microscope 4 and the scanner 6 are connected to the network N shown in FIG. 2 and constitute the information processing system of FIG. 2.

[0073] As shown in FIG. 9, in the CPU 11 of the server 1, when the execution of the damage region estimation process is controlled, in addition to the functional configuration of FIG. 4 described above, an image acquisition unit 113 and a damage estimation unit 105 function. Also, a comparison unit 106 functions as necessary. Hereinafter, each functional block shown in FIG. 9 will be described. However, those with the same reference numerals as the functional blocks in FIG. 4 have common contents. Therefore, for the contents already described in FIG. 4, the description will be omitted and only the differences will be described.

[0074] The image acquisition unit 113 functions as the acquisition unit 101. The image acquisition unit 113 acquires, as image information, the data of the captured image of the target terminal 2 captured by the microscope 4 and the turntable 5, or the scanner 6.

[0075] Based on the result of analyzing the image information acquired by the image acquisition unit 114, the damage estimation unit 105 estimates the damage area 210 and executes control to superimpose and display this on the image information. Specifically, the damage estimation unit 105 executes control to superimpose and display the damage area 210 on each of the images 200 in FIG. 7 and the image 400 in FIG. 8 described later, for example.

[0076] The comparison unit 106 functions as necessary and compares information including at least the state information of each of one or more parts in the target terminal 2 with information regarding the target terminal 2 in a state where there are no separately managed damages. This comparison may be performed by AI (artificial intelligence). When the comparison unit 106 functions, the state acquisition unit 112 acquires the result of the comparison by the comparison unit 106 as one of the state information. Then, the evaluation unit 102 evaluates the state of the target terminal 2 based on the information including at least the state information acquired from the state acquisition unit 112.

[0077] The result of the damage estimation process can be applied to the above-mentioned ranking. In this case, considering the number, size, shape, nature, etc. of the damages, the result can be applied to the ranking. In other words, how to handle the detected result can be arbitrarily determined by the provider of this service, etc.

[0078] Also, by realizing the estimation of the damage area 210 by AI (artificial intelligence), problems specific to the target terminal 2 such as the following are solved. That is, (1) Since the target terminal 2 has a large variety of models, colors, and material types, it is often impossible to obtain information on the target terminal 2 in a new product state that serves as master data. In this case, a problem occurs in that it becomes difficult to compare the master data and the state information. Regarding this problem, by means of the machine learning of the above-mentioned AI (Artificial Intelligence), it is possible to estimate the damaged area 210 without comparing it with the master data. Specifically, by having the AI (Artificial Intelligence) learn the past evaluation results obtained from the accumulated big data, judgments such as the following can be made. That is, it is possible for the AI (Artificial Intelligence) to make a judgment that a scratch of this degree at this position does not affect the purchase price regardless of the model, so it is not considered as the damaged area 210. As a result, scratches can be detected regardless of the model, color, and material of the target terminal 2. Also, (2) there are many types of shapes and sizes for the target terminal 2. For this reason, for example, when trying to image the target terminal 2 with a general imaging device (such as a digital camera or a camera built into a smartphone) and estimate the damaged area from the captured image, the following problems occur. That is, there is a problem that the height of the camera axis (Z-axis) and the brightness of the light source must be varied according to the type of shape and size of the target terminal 2. Regarding this problem, it can be addressed by the AE (Auto Exposure) function of the microscope 4 or the scanner 6. Also, (3) when imaging the liquid crystal surface of the target terminal 2 with a general imaging device, if the imaging device and the target terminal 2 to be imaged are on the same axis, the imaging device will be reflected in the imaged liquid crystal surface of the target terminal 2. As a result, there is a problem that it becomes difficult to identify the scratches on the target terminal 2. Regarding this problem, it can be solved by using, for example, the turntable 5 in FIG. 7 as a dedicated jig for fixing the target terminal 2. Also, according to the scanner 6, the problem that the imaging device is reflected in the imaged liquid crystal surface of the target terminal 2 does not occur in the first place. Also, (4) when imaging more than six sides of the target terminal 2, there is a problem that the target terminal 2 must be rotated and photographed from a suitable angle. This problem can also be solved by using, for example, the turntable 5 shown in Fig. 7 as a dedicated jig that can be rotated while fixing the target terminal 2. In addition, by adopting a wide-angle lens with a wide viewing angle for the lens of the microscope 4, the number of imaging operations can be reduced. Specifically, for example, it is possible to image a hexahedron or more with only four shootings. Also, according to the scanner 6, since it is easy to fix the target terminal 2, there is no particular problem.

[0079] In addition, by realizing the estimation of the damaged area 210 by AI (artificial intelligence), service problems such as the following are also resolved. That is, the criteria for the rank at the time of purchasing the target terminal 2 may differ among different purchasing stores, within the company, and among staff members. For this reason, among users U, there were many people who had a sense of unease about the purchase and a sense of vigilance that they might be deceived. Also, even in the case of taking back by the manufacturer of the target terminal 2, the purchase price is unknown until it is sent to and appraised by the manufacturer's repair agency. Therefore, user U has a need to immediately determine the purchase price or the number of points equivalent to the purchase price. On the other hand, by realizing the estimation of the damaged area 210 by AI (artificial intelligence), user U can sell the target terminal 2 with confidence.

[0080] As described above, one embodiment of the present invention has been described. However, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope that can achieve the object of the present invention are considered to be included in the present invention.

[0081] For example, in the above-described embodiment, it was described that the master data is stored in a database (not shown) of the server 1, but it is not particularly limited thereto. That is, the master data is not stored only in the database (not shown) of the server 1. Specifically, for example, the master data may be stored in a database of an information processing apparatus different from the server 1. In this case, when it is stored in the databases of a plurality of information processing apparatuses, it is also possible to copy and transplant the master data, such as by copying.

[0082] Also, for example, in the above-described embodiment, as an evaluation of the state of the article, the state of the target terminal 2 composed of a smartphone, a tablet, or the like is evaluated. However, the "article" in the present invention is not limited to the above-described embodiment. That is, it is possible to evaluate the state of any article other than a smartphone, a tablet, or the like.

[0083] Also, for example, in the above-described embodiment, each of the user U and the person in charge G uses the dedicated application installed in each of the target terminal 2 and the store terminal 3 to use this service. However, the specific method for using this service is not particularly limited. For example, each of the user U and the person in charge G can also use this service by using the browser function of each of the target terminal 2 and the store terminal 3.

[0084] Also, for example, the specific method for the server 1 to acquire the terminal information including the model information and the state information is not particularly limited. For example, the target terminal 2 may be photographed and saved (for example, saved to the cloud) using a dedicated photographing kit (camera, light source, box stand) for information acquisition, and ranking may be performed based on the analysis result of the data of the captured image. Also, by using a technology such as AI (artificial intelligence) to perform deep learning on the ranking result, the ranking can be completely automated. Furthermore, it is also possible to perform an inspection inside the target terminal 2 (for example, inspection of a call function, an imaging function, and a display function of a liquid crystal screen, etc.) simultaneously with the appraisal of the purchase price. Also, it is possible to simultaneously erase the data stored in the target terminal 2.

[0085] Also, for example, the model information is not limited to the above-described embodiment, and other information may be included.

[0086] Also, for example, in the above-described embodiment, the "part" for which state information is to be acquired is divided into 6 or 24, but it is not limited thereto. For example, state information may be acquired for each further divided part.

[0087] Also, for example, there is no particular limitation on how to specifically determine the presence or absence of scratches on the target terminal 2. For example, the presence or absence of scratches on the target terminal 2 may be determined using a dot gauge, or the presence or absence of scratches may be determined by analyzing the data of the captured image of the target terminal 2.

[0088] Also, for example, the specific value of the defect score in the above-described embodiment is merely an example. Values other than those in the above-described embodiment may be set. Furthermore, since the concept of "score" itself is an example, for example, in this service, numerical values may not be used when evaluating the state of an article.

[0089] Also, for example, in the above-described embodiment, the target terminal is configured to be assigned any one of 12 levels of ranks of S〇, S△, A〇, A△, B〇, B△, C〇, C△, D〇, D△, J1, and J2, but this is merely an example. Ranks with a number of levels other than those in the above-described embodiment may be assigned. Also, the display of the ranks of S〇, S△, A〇, A△, B〇, B△, C〇, C△, D〇, D△, J1, and J2 is also merely an example, and other displays may be used. For example, ranking by numerical values from 1 to 5 may be used.

[0090] Also, for example, in the above-described embodiment, when an electronic payment service is used using the target terminal 2, an adjustment to the purchase price is made based on information regarding the presence or absence of a remaining balance, information regarding whether it is SIM-free, and information regarding the presence or absence of genuine accessories. However, it is not limited to these pieces of information, and an adjustment to the purchase price may be made based on other information. Specifically, for example, when this service is used, an adjustment such as increasing the purchase amount by a predetermined ratio (for example, 5%) may be made.

[0091] In addition, the system configuration shown in FIG. 2 and the hardware configuration of server 1 shown in FIG. 3 are merely examples for achieving the object of the present invention and are not particularly limited.

[0092] In addition, the functional block diagrams shown in FIGS. 4 and 9 are merely examples and are not particularly limited. That is, it is sufficient that the information processing system is provided with functions capable of executing the above-described series of processes as a whole, and the functional blocks used for realizing this function are not particularly limited to the examples shown in FIGS. 4 and 9.

[0093] Also, the location where the functional blocks exist is not limited to FIGS. 4 and 9 and may be arbitrary. For example, in the examples shown in FIGS. 4 and 9, the above-described appraisal support process and damage estimation process are configured to be performed on the server 1 side, but the present invention is not limited thereto, and at least a part of the appraisal support process and damage estimation process may be performed on the target terminal 2 side, the store terminal 3 side, the microscope 4 side, or the scanner 6 side. That is, the functional blocks necessary for executing the appraisal support process and damage estimation process are configured to be provided on the server 1 side, but this is merely an example. At least a part of the functional blocks arranged on the server 1 side may be configured to be provided on the target terminal 2 side, the store terminal 3 side, the microscope 4 side, or the scanner 6 side.

[0094] In addition, the above-described series of processes can be executed by hardware or by software. In addition, one functional block may be configured by hardware alone, by software alone, or by a combination thereof.

[0095] When the series of processes are executed by software, the program constituting the software is installed in a computer or the like from a network or a recording medium. The computer may be a computer incorporated in dedicated hardware. In addition, the computer may be a computer capable of executing various functions by installing various programs, such as a general-purpose smartphone or personal computer in addition to a server.

[0096] The recording medium containing such a program is not only composed of a removable medium (not shown) distributed separately from the apparatus main body for providing the program to the user, but also composed of a recording medium or the like provided to the user in a state pre-installed in the apparatus main body.

[0097] In addition, in this specification, the step of describing the program recorded on the recording medium includes not only the processes performed in time series along the order, but also the processes executed in parallel or individually even if they are not necessarily processed in time series. Also, in this specification, the term "system" shall mean the entire apparatus composed of a plurality of devices, a plurality of means, and the like.

[0098] To summarize the above, the information processing apparatus to which the present invention is applied may have the following configuration and can take various embodiments. That is, the information processing apparatus (for example, the server 1 in FIG. 9) to which the present invention is applied a first acquisition means (for example, the image acquisition unit 113 in FIG. 9) for acquiring, as image information, data of an imaging image of a predetermined article imaged by a predetermined imaging device (for example, the microscope 4 and the turntable 5 in FIG. 7, or the scanner 6 in FIG. 8); an estimation means (for example, the damage estimation unit 105 in FIG. 9) for estimating a region (for example, the damage region 210 described in detail) indicating the position and size of each of one or more damages (for example, the scratches described above) that may exist on the surface of the predetermined article based on the result of analyzing the image information acquired by the first acquisition means; a second acquisition means (for example, the state acquisition unit 112 in FIG. 9) for acquiring, as state information, information regarding the state of each of one or more parts (for example, the liquid crystal surface a, the back surface b, the upper part c, the lower part d, the left side surface e, and the right side surface f in FIG. 1) of the predetermined article based on the result of the estimation by the estimation means; Evaluation means (e.g., the evaluation unit 102 in FIG. 9) that performs an evaluation (e.g., ranking) of the state of the article based on information (e.g., terminal information including the model information and state information described above) including at least the state information of each of the above-mentioned one or more parts, is provided.

[0099] As a result, based on the estimation result of the area indicating the position and size of each of one or more damages that may exist on the surface of the article, the evaluation of the article is performed. As a result, it becomes possible to efficiently evaluate articles (e.g., the target terminal 2 in FIG. 1) whose evaluation results vary greatly depending on the position where the damage occurred.

[0100] Also, the estimation means can perform the estimation based on the result of machine learning by AI (artificial intelligence) on the information regarding the predetermined article including the information accumulated as the result of the evaluation.

[0101] As a result, AI (artificial intelligence) can perform deep learning using past achievements and information regarding articles as teacher data, so that the evaluation of articles is facilitated.

[0102] Also, determination means (e.g., the determination unit 103 in FIG. 9) that determines the purchase price of the predetermined article based on the result evaluated by the evaluation means, can be further provided.

[0103] As a result, based on the evaluation of the article performed based on the state information of the article, the purchase price of the article is determined. Therefore, a person who wants to confirm the purchase price of the article can easily confirm the details of the specific purchase price of the article. For example, in the above-described embodiment, the user U who sells the target terminal 2 or the person in charge G of the store can easily confirm the specific purchase price of the target terminal 2 only by providing the terminal information of the target terminal 2.

[0104] Also, the second acquisition means As the state information, information indicating the state of defects of the article (for example, information regarding the presence or absence of scratches) can be obtained for each of the one or more parts.

[0105] Thereby, an evaluation can be performed that reflects information including information indicating the state of defects for each of the one or more parts in the article.

[0106] Also, the second acquisition means As the state information, information indicating the payment status of a person who uses the article by paying a predetermined fee (for example, information regarding network usage restrictions) can be obtained.

[0107] Thereby, an evaluation can be performed that reflects information indicating the payment status of the person who uses the article.

[0108] Also, the second acquisition means As the state information, information indicating the usage status of the article by the person who uses the article (for example, information regarding whether it is new) can be obtained.

[0109] Thereby, an evaluation can be performed that reflects information indicating the usage status of the article by the person who uses the article.

Explanation of Signs

[0110] 1... Server, 2... Target terminal, 3... Store terminal, 4... Microscope, 5... Turntable, 6... Scanner, 11... CPU, 12... ROM, 13... RAM, 14... Bus, 15... Input / output interface, 16... Input section, 17... Output section, 18... Storage section, 19... Communication section, 20... Drive, 30... Removable media, 101... Acquisition section, 102... Evaluation section, 103... Decision section, 104... Presentation section, 105... Damage estimation section, 106... Comparison section, 111... Model acquisition section, 112... Status acquisition section, 112... Image acquisition section, 181... Terminal DB, 182... Evaluation DB, 200, 300, 400... Images, 210... Damage area, P... Service provider, U... User, G... Responsible person, a, a1 to a4... Liquid crystal surface, b, b1 to b4... Back surface, c, c1 to c4... Upper part, d, d1 to d4... Lower part, e, e1 to e4... Left side surface, f, f1 to f4... Left side surface, SS... Each step, N... Network

Claims

1. First acquisition means for acquiring, as image information, data of a captured image of a predetermined article captured by a predetermined imaging device; Estimation means for estimating regions indicating the position and size of each of one or more damages that may exist on the surface of the predetermined article based on the result of analyzing the image information acquired by the first acquisition means; Second acquisition means for acquiring, as state information, information regarding the state of each of a plurality of parts including a front surface, a rear surface, an upper part, a lower part, a left side surface, and a right side surface constituting the surface of the predetermined article, and information regarding the state of each of a plurality of small parts divided on each of the front surface, the rear surface, the upper part, the lower part, the left side surface, and the right side surface; Evaluation means for evaluating the state of the article based on information including at least the state information for each of the plurality of parts and the plurality of small parts, and information indicating an influence on a predetermined purchase price preset for each of the plurality of parts and the plurality of small parts, the information being preset such that the degree of influence on the purchase price differs depending on the position of the damage even if the size and nature of the damage are the same; Determination means for determining the purchase price of the predetermined article based on the result evaluated by the evaluation means; An information processing apparatus comprising the same.

2. The estimation means Performs the estimation based on the result of machine learning by AI (artificial intelligence) on information regarding the predetermined article including information accumulated as a result of the evaluation. The information processing apparatus according to claim 1.

3. The second acquisition means Acquires, as the state information, information indicating the damage situation of the article for each of the plurality of parts and the plurality of small parts. The information processing apparatus according to claim 1 or 2.

4. The second acquisition means Acquires, as the state information, in addition to information based on the result of the estimation by the estimation means, information indicating the payment situation of a person who uses the predetermined article by paying a predetermined fee. The information processing apparatus according to any one of claims 1 to 3.

5. The second acquisition means Acquires, as the state information, in addition to information based on the result of the estimation by the estimation means, information indicating the usage situation of the predetermined article by a person who uses the predetermined article. The information processing apparatus according to any one of claims 1 to 4.

6. In an information processing method executed by an information processing apparatus, a first acquisition step of acquiring, as image information, data of a captured image of a predetermined article captured by a predetermined imaging device; an estimation step of estimating, based on the result of analyzing the image information acquired by the processing of the first acquisition step, regions indicating the position and size of each of one or more damages that may exist on the surface of the predetermined article; a second acquisition step of acquiring, as state information, information regarding the state of each of a plurality of parts including a front surface, a rear surface, an upper portion, a lower portion, a left side surface, and a right side surface constituting the surface of the predetermined article, and information regarding the state of each of a plurality of small parts divided on each of the front surface, the rear surface, the upper portion, the lower portion, the left side surface, and the right side surface; an evaluation step of evaluating the state of the article based on information including at least the state information for each of the plurality of parts and the plurality of small parts, and information indicating an influence on a purchase price preset for each of the plurality of parts and the plurality of small parts, wherein the degree of influence on the purchase price differs if the position of the damage is different even if the size and nature of the same damage are the same; a determination step of determining the purchase price of the predetermined article based on the result evaluated by the processing of the evaluation step; An information processing method including the above.

7. A computer, a first acquisition step of acquiring, as image information, data of a captured image of a predetermined article captured by a predetermined imaging device; an estimation step of estimating, based on the result of analyzing the image information acquired by the processing of the first acquisition step, regions indicating the position and size of each of one or more damages that may exist on the surface of the predetermined article; a second acquisition step of acquiring, as state information, information regarding the state of each of a plurality of parts including a front surface, a rear surface, an upper portion, a lower portion, a left side surface, and a right side surface constituting the surface of the predetermined article, and information regarding the state of each of a plurality of small parts divided on each of the front surface, the rear surface, the upper portion, the lower portion, the left side surface, and the right side surface; Information including at least the state information for each of the plurality of parts and the plurality of small parts, and information indicating the influence on the predetermined purchase price set in advance for each of the plurality of parts and the plurality of small parts, based on the information preset such that even if the size and nature of the same damage are the same, the degree of influence on the purchase price differs if the position of the damage is different, an evaluation step of evaluating the state of the article; A determination step of determining the purchase price of the predetermined article based on the result evaluated by the process of the evaluation step; A program for executing a control process including the above.

Images