Written evaluation management device

Abstract

To provide an object evaluation management device which recognizes an object when the object is photographed, determines a score of damage or the like and a rank to allow rank determination criteria to be automatically replaced by accumulated determination criteria of experts through a priority rank input of an expert.SOLUTION: An object evaluation management device of the present invention comprises image capturing means, object recognition means, feature score computation means, rank determination means, rank-based score criteria data memory, an electronic management table, display means, priority input rank determination means, priority determination history data memory, and criteria data replacement means.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a system that captures a subject as a camera image, calculates the numerical values ​​of feature amounts as scores, and manages the handling based on the rank to which the scores belong. [Background technology]

[0002] Related conventional examples are given below. Patent Document 1 proposes a system in which an inspection object is photographed with a camera, analyzed with an image analyzer, a score indicating the degree of surface deterioration is calculated, and the image and score are linked and saved on a server. The system describes the calculation of a score that quantifies the actual condition of each image and how to review it, but does not describe how to rank the items based on a standard value from the score, which raises the risk of artificial judgment. Furthermore, as described in paragraphs 0012 and 0013 of Patent Document 1, inspection workers search for and obtain information about the objects to be inspected, or call up information from a list of objects to be inspected, and link images with their scores, which are human-caused and prone to error.Furthermore, the system does not prioritize the use of the judgments of experienced inspectors at the inspection site and convert them into data. Patent document 2 measures the distance to the measurement point, the horizontal angle, and the vertical angle to determine the inclination angle of the surface being inspected relative to the optical axis of the camera, corrects the image so that the surface being inspected is facing the camera directly, and then determines and displays the distribution and crack width of cracks on the concrete surface, and can be used as an aid to the processing in this application. Patent Document 3 discloses measuring the dimensions of an object by photographing the object and a unit length of the object. Measuring the dimensions of a subject is a well-known technique, and it is known and usable that it is possible to measure the unit length of the subject without photographing it. For example, if the subject and the camera are directly facing each other, the focal length f of the lens and the distance x between the focal point and the photosensitive surface (calculated from the lens extension distance during focusing) are known according to the equation shown in FIG. 11. Therefore, if the distance a to the subject is measured and known, the actual dimensions of the subject can be determined by measuring the image size w on the imaging surface. This is known and therefore requires a distance measurement means. Additionally, the use of a stereo camera is known and can be used as a distance measurement means, as it allows dimensions to be measured without the need for distance measurement. Incidentally, if the subject and the camera are not directly facing each other, correction can be made using the means described in Patent Document 2, and then the equation in FIG. 11 can be used. Furthermore, Patent Document 4 discloses an autofocus camera equipped with a zoom lens, which uses a means for measuring the distance to the subject and displays on the screen a scale calculated from that distance and the zoom lens position, and this can be used as publicly known technology. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2016-4285 [Patent Document 2] Patent Publication No. 10-78305 [Patent Document 3] Patent Publication No. 2006-127104 [Patent Document 4] Patent Publication No. 1-268363 Summary of the Invention [Problem to be solved by the invention]

[0004] The object of the present application is to provide a subject evaluation management device that recognizes a subject when it is photographed, determines a score and rank for damage, etc., automatically creates an electronic management table for management, and further, automatically replaces the rank judgment criteria with the accumulated judgment criteria of experts when an expert inputs a priority rank. [Means for solving the problem]

[0005] The following description is based on the claims. The invention described in claim 1 is a subject evaluation management device, the system comprises: an imaging means which is a camera that takes an image of a subject to be managed; a feature score calculation means that calculates feature amounts of the subject from the image of the subject that has been taken and obtains a score for evaluation from the value of the feature amounts; a rank determination means that determines the rank to which the value of the score belongs; a rank-corresponding score reference data memory that stores rank-corresponding score reference data used when determining the rank; an electronic management table creation means that creates an electronic management table; an electronic storage unit that stores property information of the subject, including a property identifier that identifies the property of the subject, the image, and the score and / or the rank; and a display means that performs operation input and / or judgment output, the electronic management table creation means incorporates the property information into the electronic management table, creates it, and displays it; The apparatus further comprises a priority input rank determination means for allowing an expert to determine and input a rank based on the actual object or the image of the subject preferentially, without using the rank determination means, when determining the rank; and The system further comprises a priority judgment history data memory for storing the priority judgment results input by the priority input rank judgment means, and a reference data replacement means for automatically replacing the rank-corresponding score reference data in the rank-corresponding score reference data memory with the priority judgment results when a predetermined amount of the priority judgment results have been accumulated.

[0006] The invention described in claim 2 is a subject evaluation management device, the system comprises: an imaging means which is a camera that takes an image of a subject to be managed; a feature score calculation means that calculates feature amounts of the subject from the image of the subject that has been taken and obtains a score for evaluation from the value of the feature amounts; a rank determination means that determines the rank to which the value of the score belongs; a rank-corresponding score reference data memory that stores rank-corresponding score reference data used when determining the rank; an electronic management table creation means that creates an electronic management table; an electronic storage unit that stores property information of the subject, including a property identifier that identifies the property of the subject, the image, and the score and / or the rank; and a display means that performs operation input and / or judgment output, the electronic management table creation means incorporates the property information into the electronic management table, creates it, and displays it; and The camera further includes an object recognition unit that individually identifies the objects, and the object recognition unit The object is identified by the acquired image of the characteristic shape of the object itself, or by an object identification device that is installed in the vicinity of the object and can identify each object, and the object is assigned the unique property identifier, The apparatus further comprises a priority input rank determination means for allowing an expert to determine and input a rank based on the actual object or the image of the subject preferentially, without using the rank determination means, when determining the rank; and The system further comprises a priority judgment history data memory for storing the priority judgment results input by the priority input rank judgment means, and a reference data replacement means for automatically replacing the rank-corresponding score reference data in the rank-corresponding score reference data memory with the priority judgment results when a predetermined amount of the priority judgment results have been accumulated.

[0007] The invention described in claim 3 is the object evaluation management device described in claim 1 or claim 2, the electronic storage unit stores the data relating to the subject, such as the image, the score, and the rank, without distinguishing the subject, Each piece of data is stored with the property identifier and photography year information including the photography year attached, and when it is displayed as the electronic management table, the electronic management table creation means searches and retrieves the data based on the property identifier and the photography year information, and inserts each piece of data into a predetermined position in the format of the electronic management table, and the data is provided as the electronic management table.

[0008] The invention of claim 4 is a subject evaluation management device according to any one of claims 1 to 3, The apparatus is characterized in that it is provided with a calculation range designation means for designating the range within the image in which the score is to be calculated, and by designating the area surrounding the subject in the displayed photographed image, only the image of the subject in the surrounded area is used in calculating the score.

[0009] The invention of claim 5 is a subject evaluation management device according to any one of claims 1 to 4, When there are a plurality of feature amounts, the rank is determined by the worst value of the score in the case of managing deterioration of the subject, and by the best value of the score in the case of improving the subject.

[0010] The invention of claim 6 is a subject evaluation management device according to any one of claims 1 to 5, After the object recognition means recognizes the object, a display section corresponding to the relevant property identifier lights up and displays in the electronic management table. [Effects of the Invention]

[0011] As configured as described above, the object evaluation management device of the present invention recognizes an object when it is photographed, determines a score and rank for damage, etc., automatically creates an electronic management table for management, and further enhances the judgment function by automatically replacing the rank judgment criteria with the accumulated judgment criteria of experts when an expert inputs a priority rank. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a diagram showing an embodiment of the configuration of a subject evaluation management device according to the present invention; [Figure 2] FIG. 2 is a diagram showing an embodiment of the operation flow of the subject evaluation management device according to the present invention. [Figure 3] 1 is a diagram showing an embodiment of damage to be managed when the object managed by the object evaluation management device according to the present invention is a road, for example; [Figure 4] 10A and 10B are diagrams showing an embodiment of scores and ranks of feature amounts of a subject obtained by the subject evaluation management device according to the present invention. [Figure 5] 1 is a diagram showing an embodiment of feature amounts, scores, and rank determinations of damage and the like of a subject handled by the subject evaluation management device according to the present invention; [Figure 6] 10A and 10B are diagrams showing an embodiment of the operation of the object evaluation management device according to the present invention from the damage mode to score calculation and rank determination. [Figure 7] 10A and 10B are diagrams showing an embodiment of a display example prompting expert-priority judgment input in the subject evaluation management device according to the present invention; [Figure 8] 10 is a diagram showing an embodiment of the score-rank distribution of priority judgment history data of the object evaluation management device according to the present invention. FIG. [Figure 9] 1 is a diagram showing an embodiment of an electronic management table displayed on a display screen of a subject evaluation management device according to the present invention; [Figure 10] 10A and 10B are diagrams showing another embodiment of the electronic management table displayed on the display screen of the object evaluation management device according to the present invention. [Figure 11] FIG. 1 is a diagram showing a known technique for calculating the dimensions of a subject from the dimensions of a camera image, the distance to the subject, and the focal length of a lens. [Figure 12] FIG. 1 is a diagram showing an example of diagnostic and assessment classifications of road health for each road type according to materials from the Ministry of Land, Infrastructure, Transport and Tourism. DETAILED DESCRIPTION OF THE INVENTION

[0013] FIG. 1 is a diagram showing an embodiment of the configuration of a subject evaluation management device according to the present invention. the image capturing means 110 is a camera that captures an image of a subject to be managed; feature score calculation means 120 that calculates feature values ​​of the subject from the captured image of the subject and determines a score for evaluation from the feature value; rank determination means 130 that determines the rank to which the score value belongs; rank-corresponding score standard data memory 140 that stores rank-corresponding score standard data used when determining the rank; electronic management table creation means 150 that creates an electronic management table that shows property information of the subject including a property identifier, image, score and / or rank, which will be described later; an electronic storage unit 151 that stores the property information; display means 160 that performs operation input and / or judgment output; and subject recognition means 170 that identifies each subject. The subject is recognized from an image of the subject or related to the subject captured by the image capturing means 110 by the subject recognition means 170, and feature values ​​and scores for damage, etc., of the image of the subject captured by the image capturing means 110 are calculated by the feature score calculation means 120, the rank is determined by the rank determination means 130, the results are stored in the electronic storage unit 151, and displayed as an electronic management table for managing the subject.

[0014] Here, the object recognition means 170 photographs the acquired image of the object's characteristic shape itself, or an object identification device installed near the object that can identify each object. The object identification device can take the form of a mark, number, code, symbol, two-dimensional code, QR code (registered trademark), communication tag, etc., in addition to the image of the object's characteristic shape itself. Anything other than a communication tag can be acquired by photographing an image, but a communication tag naturally requires a communication means between the object identification device and the object evaluation management device. When a subject is identified by the subject identification device, a property identifier is assigned to the subject. The property identifier can be in the form of a number, code, letter, or other identifier that can be distinguished. By photographing the object identification device, the object can be automatically recognized, eliminating the risk of human error. Of course, if there is no object identification device, the worker can directly input the property identifier via the electronic management table creation means 150 or the object recognition means 170. In particular, when photographing a subject for the first time without a track record, the operator may specify the property identifier, or the electronic management table creation means 150 or the subject recognition means 170 may assign the next property identifier in the order already assigned. In addition, in the case where the object identification device has a number, code, etc., it is natural that the same number or code as the number or code on the object identification device can be used as the property identifier without any need to change it. Furthermore, this device has a priority input rank determination means 180 that allows an expert to preferentially determine and input the rank from the actual object or image without going through the rank determination means 130 when the feature score calculation means 120 determines the rank from the feature and score, a priority determination history data memory 190 that accumulates the priority determination results, and a reference data replacement means 200 that automatically replaces the reference data in the rank-corresponding score reference data memory 140 with the priority determination results when a predetermined number of priority determination results have been accumulated.

[0015] The standard data in the rank-corresponding score standard data memory 140 is initially set artificially by the initial value setting means 210, and is often not a satisfactory value, but the rank determined by an expert by the priority input rank determination means 180 is the most reliable determination, and by accumulating this data and replacing it with the standard data, a system that naturally makes reliable rank determinations is formed, making it an extremely effective means.

[0016] Furthermore, when calculating the dimensions of an object or its features from an image, a stereo camera is required, or distance measurement means 220 for measuring the distance to the object is required. The distance measuring means 220 may be an ultrasonic distance measuring device or a laser distance measuring device. If the position of the subject is desired, a position measurement means 230 such as a GPS (Global Positioning System) may be provided. Furthermore, if a calculation range designation means 240 is provided, it is convenient that by designating a region surrounding the subject in the displayed photographed image, only the image of the subject in the enclosed region can be used for score calculation.

[0017] FIG. 2 is a diagram showing an embodiment of the operation flow of the subject evaluation management device according to the present invention. a) Turn on the power. b) Specify whether to take normal or surveillance shots. If you select normal shooting, it will become c) normal shooting. If you specify monitoring judgment shooting, d) Subject recognition and photography / measurement of distance and position to the subject. If the object recognition means 170 can distinguish and recognize each object, there is an advantage that the object data and the image can be combined without manual intervention and there is no risk of mistakes. e) By subject recognition, an electronic management table association related to the subject is designated or selected. Furthermore, if a start button for creating and displaying an electronic management table is provided, it goes without saying that the user can create and display the electronic management table at any time when necessary. f) It is also possible to specify the range within the captured image in which the score etc. is calculated. g) Range specification h) Regardless of whether a range is specified, a score is calculated. An example of the calculation is described below. i) Determine whether rank priority input has been made by an expert. j) If priority input is not performed, the rank corresponding to the calculated score is automatically determined from the data in rank-corresponding score standard data memory 140. The data in rank-corresponding score standard data memory 140 is manually input in advance (m) using the score range for each rank as the determination criterion. This allows unskilled workers to leave the ranking to automatic judgment without having to make a ranking judgment. k) In the case of priority input, the score and rank data are stored in the priority judgment history data memory 190. l) Regardless of whether priority input is performed or not, the image, score, and rank of the subject are created and displayed as a corresponding electronic management table, and stored in the electronic storage unit. n) The priority judgment history data memory 190 stores score and rank data, and when a predetermined amount of data is accumulated, the judgment criteria based on the performance data of this priority judgment are automatically incorporated into the rank-corresponding score standard data memory 140. As a result, the judgment criteria of the experts automatically become the new standards in the rank-corresponding score standard data memory 140, which is convenient. As a result, it is possible to overcome the current situation where the number of experts is decreasing year by year and their judgments are becoming immature.

[0018] FIG. 3 is a diagram showing an embodiment of damage to be managed when the object managed by the object evaluation management device according to the present invention is a road, for example. The target of management is a damage example on a road, and the damage type is 1. Single crack, branched, complex 2. Holes / unevenness and unevenness 3. Rust and corrosion: Numerical features such as shape characteristics, long side length, short side length, maximum difference in level, total area and percentage of damaged areas are shown. Figure 5 shows an example of a road image. 10A and 10B are diagrams showing feature amounts of damage and the like of a subject handled by the subject evaluation management device according to the present invention, score calculation, and rank determination. Conditions 5-1 and 5-4 are commonly seen on public roads, but their (score, rank) are (68,3) and (63,3), respectively. The other conditions, 5-2, 5-3, and 5-5, are (88,4), (82,4), and (93,4). An example of the range of ranks and scores is shown in Fig. 4. In the four-level rank display, for example, rank 4 means that the subject is in a "problematic state, and urgent treatment is required." The range of scores used to determine the ranking depends on the subject. For example, highways and regular roads will naturally have completely different scores. The four-level ranking can also be seen in documents from the Ministry of Land, Infrastructure, Transport and Tourism, as shown in Figure 12. Furthermore, a calculation range designation means is provided for designating the range within the image for calculating the score, and by designating the subject of the displayed captured image to be surrounded as shown in 5-5 of Figure 5, only the image of the subject in the surrounded area is used for calculating the score, thereby excluding undamaged areas from the calculation and avoiding unnecessary calculations.Furthermore, when it is necessary to determine the percentage of damage, etc., the larger the undamaged area, the smaller the percentage of damaged areas will appear, which may make it difficult to make a valid comparison, but this can be avoided by designating the calculation range.

[0019] Next, an example of the operation from score calculation based on the damage type to rank determination will be shown. FIG. 6 is a diagram showing one embodiment of the operation of the object evaluation management device according to the present invention from the damage mode to score calculation and rank determination. In 6-1, First, feature values ​​are calculated from the damage state in the image. The feature values ​​include the maximum step height, long side length, short side length, total area of ​​the damaged area, etc. The feature values ​​are converted into a score. (This process is performed because the feature values ​​are physical quantities of the subject and vary depending on the damage, so it is difficult to grasp the severity of the condition from the numerical value alone. For this reason, the feature values ​​are converted into a score so that they are on the same scale.) When there are multiple feature quantities, the rank that the score falls into is determined by the worst or best value of the score. Rank determination is performed, for example, based on Figure 4. Since most normal subjects generally become damaged or deteriorate over time, in such cases, the rank is determined by the worst value of the score. However, in the case of breeding living things, especially plants, some deteriorate while others improve, and those that improve are selected, bred, and improved, so it is best to determine the rank by the best value of the score. Naturally, Figures 4, 7, and others show examples of managing things that are damaged or deteriorated, but in the case of improvements such as breeding, the specific description may change.

[0020] 6-2 shows an example of feature calculation. The background technology for calculating feature values ​​(dimensions) is a well-known technology shown in FIG. 11, which states that "the size of an object in an image captured by a camera is determined by the distance from the camera to the object and the magnification of the lens, and therefore can be accurately calculated by mechanically correcting the size on the screen (corresponding to the number of pixels) based on the distance measured by the rangefinder and the magnification of the camera at the time of capture." For example, the right side of 6-2 shows images of damage conditions such as cracks / fissures, unevenness / holes, and combinations of these / rust, in pixel correspondence with the imaging means 110. Of course, in actuality, 1 million pixels are arranged in 1,000 rows and 1,000 columns, making them too fine to display in a diagram. For cracks / fissures, the long side length (lengthwise) and the short side length perpendicular to the lengthwise direction (the maximum value is selected) are calculated; for unevenness / holes, the width in the depth direction is calculated as the step; and for composite and rust, the total area of ​​the damaged area is calculated; all of these can be calculated automatically from the image dimensions or the number of pixels in the image. 6-3 shows how the score is converted based on the numerical value of the feature, using road bumps as an example. The numerical value of the correspondence relationship is set differently depending on the object being photographed. In this way, the feature amount of the image of the subject is calculated and converted into a score, and a rank is determined from the score and provided for management.

[0021] FIG. 7 is a diagram showing an embodiment of a display example for prompting expert-priority judgment input in the subject evaluation management device according to the present invention. After the feature score calculation means 120 calculates the score h) in the flow diagram of Fig. 2, the priority input rank determination means 180 determines whether or not the rank i) in the flow diagram of Fig. 2 has been input with priority. An example of the operation in this case is shown below. Fig. 7 is a diagram showing one embodiment of an example of a display that prompts an expert-priority judgment input in the object evaluation management device according to the present invention. An example of a display shown on the display screen is shown. An expert (or an expert priority judgment qualified person / user can decide) can specify a rank by pressing the button with the designated rank number for the subject or its image. Naturally, the feature amount and score have been calculated for the image of the subject, so a rank is assigned. If you are not an expert or do not want to make a priority judgment, you can press the "Do not specify" button. As mentioned above, when you press the "Do not specify" button, the rank is automatically determined from the data in the rank-corresponding score standard data memory 140 in j) of the flow diagram in Figure 2.

[0022] As shown in k) the process of storing score and rank data in the priority judgment history data memory 190 in the flow diagram of Fig. 2, each time a priority judgment is made, data relating to scores and ranks is accumulated as shown in Fig. 8. When a predetermined quantity of data is accumulated to the extent that the score range standards for each rank can be determined, the results of the priority judgment are incorporated into n) the rank-corresponding score standard data memory 140 in the flow diagram of Fig. 2, and judgment standards based on the experience of experts are created and are used in subsequent rank judgments.

[0023] 9 is a diagram showing one embodiment of an electronic management table created by the electronic management table creation means 150 of the subject evaluation management device according to the present invention and displayed on the display screen. An example of an electronic management table displayed on the display means 160 is shown in relation to step e) electronic management table association designation in the flow chart of FIG. In this example, for each property identifier representing the property that was the subject of the photo, the property name, score, rank, periodic inspection results, and electronic storage unit for storing data are arranged in a table format. The electronic storage section may have the appearance of a storage box. When object recognition in step d) of the flow chart in FIG. 2 is performed by the object recognition means 170 in FIG. 1, a display corresponding to the relevant property identifier is displayed, such as by lighting up, so that the user can identify the object without making a mistake. For example, when an object identification device relating to an object of an object identifier is photographed with a camera, if the object identifier from the object identification device is, for example, 06, the display section corresponding to the object identifier 06 will light up. The electronic storage unit of 06 stores electronic data such as the property identifier of the subject of 06's property identifier, the photographed image, the date of photographing, location data, score, rank, and other special notes as a history for each inspection. By pressing the button to display history, the <Graph display of history, etc.> can be displayed and the history graph can be viewed. The back button can be used to return to the previous display. This data is in an electronic format and is compiled and displayed simply by photographing the subject. The data of the subject is automatically stored in an electronic storage unit with the same property identifier based on the property identifier, and no manual operation is required, so the risk of operational errors can be avoided.

[0024] FIG. 10 is a diagram showing another embodiment of the electronic management table created by the electronic management table creating means 150 of the object evaluation management device according to the present invention and displayed on the display screen. The difference from Figure 9 is that there is no electronic storage unit 151 for each object. Here, the electronic storage unit 151 stores data without distinction of object. Each piece of data is assigned only an object identifier and the year of photography information and is stored randomly (usually stored each time data is acquired or processed). However, when the data is to be displayed as an electronic management table, the electronic management table creation means 150 automatically searches the electronic storage unit 151 based on the object identifier and the year of photography information, or searches for and retrieves the data through operation by the user of the object evaluation management device. The data is then inserted into the designated position in the electronic management table format, either automatically or through operation by the user, and the data is displayed as an electronic management table. In this mode, the electronic management table creation means 150 must perform a search and incorporation process before displaying the data, but because it is all processed electronically, the process is fast, with no waiting time, and there are no disadvantages. Further advantages are that the amount of data required is smaller than that shown in Figure 9, and if the people who can handle this are restricted by authority, the data cannot be easily ascertained from the separate data stored in the electronic storage unit 151 as it can be from an electronic management table, making it difficult for malicious individuals to ascertain the data, and effective in maintaining confidentiality. Of course, the above advantages will be lost, but the electronic management table into which each data is inserted may be stored in the electronic storage unit 151 or other storage media. The term "photographing year information" as described in the specification and claims refers to information indicating the time of photography, including the year, month, date, and time of day when the photograph was taken. Furthermore, data may be stored in the electronic storage unit 151 by fiscal year. [Industrial Applicability]

[0025] As described above, the subject evaluation management device according to the present invention recognizes a subject when it photographs the subject, The system calculates scores for damage, etc., determines ranks, and, by inputting the priority ranks of experts, replaces the ranking criteria with the expert's criteria, making it extremely convenient for industrial use.

[0026] 110 Imaging means 120 Feature score calculation method 130 Rank Determination Method 140 rank-compatible score reference data memory 150 Electronic management table creation method 151 Electronic Storage Unit 160 Display means 170 Object recognition means 180 Priority input rank determination means 190 Priority judgment history data memory 200 Reference Data Replacement Means 210 Initial value setting means 220 Distance measurement means 230 Position measuring means 240 Calculation range specification means

Claims

1. the system comprises: an imaging means which is a camera that takes an image of a subject to be managed; a feature score calculation means that calculates feature amounts of the subject from the image of the subject that has been taken and obtains a score for evaluation from the value of the feature amounts; a rank determination means that determines the rank to which the value of the score belongs; a rank-corresponding score reference data memory that stores rank-corresponding score reference data used when determining the rank; an electronic management table creation means that creates an electronic management table; an electronic storage unit that stores property information of the subject, including a property identifier that identifies the property of the subject, the image, the score and / or the rank; and a display means that performs operation input and / or judgment output, the electronic management table creation means incorporates the property information into the electronic management table, creates it, and displays it; The apparatus further comprises a priority input rank determination means for allowing an expert to determine and input a rank based on the actual object or the image of the subject preferentially, without using the rank determination means, when determining the rank; The subject evaluation management device further comprises a priority judgment history data memory that stores the priority judgment results input by the priority input rank judgment means, and a reference data replacement means that automatically replaces the rank-corresponding score reference data in the rank-corresponding score reference data memory with the priority judgment results when a predetermined amount of the priority judgment results have been accumulated.

2. the system comprises: an imaging means which is a camera that takes an image of a subject to be managed; a feature score calculation means that calculates feature amounts of the subject from the image of the subject that has been taken and obtains a score for evaluation from the value of the feature amounts; a rank determination means that determines the rank to which the value of the score belongs; a rank-corresponding score reference data memory that stores rank-corresponding score reference data used when determining the rank; an electronic management table creation means that creates an electronic management table; an electronic storage unit that stores property information of the subject, including a property identifier that identifies the property of the subject, the image, the score and / or the rank; and a display means that performs operation input and / or judgment output, the electronic management table creation means incorporates the property information into the electronic management table, creates it, and displays it; The camera further includes an object recognition unit that identifies each of the objects, and the object recognition unit The object is identified by the acquired image of the characteristic shape of the object itself, or by an object identification device that is installed in the vicinity of the object and can identify each object, and the object is assigned the unique property identifier, The apparatus further comprises a priority input rank determination means for allowing an expert to determine and input a rank based on the actual object or the image of the subject preferentially, without using the rank determination means, when determining the rank; The subject evaluation management device further comprises a priority judgment history data memory that stores the priority judgment results input by the priority input rank judgment means, and a reference data replacement means that automatically replaces the rank-corresponding score reference data in the rank-corresponding score reference data memory with the priority judgment results when a predetermined amount of the priority judgment results have been accumulated.

3. the electronic storage unit stores the data relating to the subject, such as the image, the score, and the rank, without distinguishing the subject, The subject evaluation management device described in claim 1 or claim 2, characterized in that each piece of data is stored with the property identifier and shooting year information including the shooting year, and when displayed as the electronic management table, the electronic management table creation means searches and extracts the data based on the property identifier and the shooting year information, and inserts each piece of data into a predetermined position in the format of the electronic management table, and provides it as the electronic management table.

4. A subject evaluation management device as described in any one of claims 1 to 3, characterized in that it is provided with a calculation range designation means for designating a range within the image for calculating the score, and by designating a range surrounding the subject in the displayed photographed image, only the image of the subject in the surrounded area is used for calculating the score.

5. A subject evaluation management device as described in any one of claims 1 to 4, characterized in that when there are multiple feature amounts, the rank is determined using the worst value of the score in managing the deterioration of the subject, and the best value of the score in managing the improvement of the subject.

6. A subject evaluation management device as described in any one of claims 1 to 5, characterized in that after the subject is recognized by the subject recognition means, a display unit corresponding to the corresponding property identifier lights up in the display of the electronic management table.

Images