JP2014026594A - Evaluation system and server device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an evaluation system capable of confirming prescience evaluated by a valuator in the actual world.SOLUTION: There is provided the evaluation system which includes: a program for making a computer 12 function as specific operation detection means 35 for detecting a specific operation that is determined in advance, identification information acquisition means 21 for acquiring identification information of an evaluation object, identification information storage means 34 for storing the identification information of an evaluation object acquired by the identification information acquisition means in a storage part, and transmission means 32 for transmitting the identification information stored in the storage part and valuator identification information of a valuator of an evaluation object to an external device for summing up the number of evaluations of evaluation objects; and the external device having evaluation information update means 25 for updating the number of evaluations of evaluation objects associated with the identification information in the case of receiving the identification information and the evaluator identification information, and evaluation order determination means 19 for determining an evaluation order when the valuator evaluates the evaluation object on the basis of the number of evaluations updated by the evaluation information update means.

Description

  The present invention relates to an evaluation system that allows an evaluator to evaluate an object in the real world.

  In order to promote sales of their own products and services, the providers of products and services carry out various sales promotion activities. On the other hand, with advances in communication technology, customers and other recipients (hereinafter simply referred to as evaluators) can evaluate products and services, and each evaluator can share the evaluation results on a Web site or the like. It has become. For example, there is a Web site where an arbitrary evaluator can post a review article for a specific product. Potential buyers interested in products and services tend to emphasize not only the information provided by the provider but also the evaluation results of the evaluator.

  On the Internet, a technique for publicizing evaluation results of various types of information by an arbitrary evaluator is known (see, for example, Patent Document 1). Patent Document 1 describes that a message is evaluated by pressing a predetermined button, and the evaluation is notified to a message sender or displayed on a list.

  However, evaluation of goods and services by such an evaluator is possible only for information on the Web. When posting a review article for a specific product, a website dedicated to the product is prepared in advance.

  In addition, a technique for judging an evaluator's evaluation of an object existing in the real world, not information on the Web is frequently seen (see, for example, Patent Document 2). According to Patent Document 2, the behavior of a visitor is picked up, returned, brought into a fitting room, purchased, or not purchased by an IC tag attached to the product and an antenna for identifying the tag. Analyzing as a type, the visitor's behavior is associated with the store visitor and time to make a series of purchase behavior, and weighting is set in advance via the input / output means according to the type of behavior included in the purchase behavior A product information providing system is disclosed that aggregates the results and adds the results of the aggregation and the purchase behavior or behavior that is the basis of the aggregation to the input / output means in response to a request from the input / output means.

  However, the product information providing system disclosed in Patent Document 2 has a problem that the store visitor cannot actively give evaluation to the product. That is, the product information providing system disclosed in Patent Document 2 does not take into account that the customer's actions are automatically evaluated and the customer intentionally gives the product an evaluation.

  As described above, in the conventional technology, there is no mechanism in which an evaluator actively gives an evaluation to a product or service that exists in the real world or shares the evaluation.

  In addition, even when the evaluator evaluates the information in the website, there is a problem in that it cannot be confirmed how much foresight the evaluation target has been evaluated.

  In view of the above problems, an object of the present invention is to provide an evaluation system that allows an evaluator to actively give evaluation to a real-world object and confirm the foresight of the evaluation.

  The present invention provides a computer with a specific operation detection unit that detects a predetermined specific operation, an identification information acquisition unit that acquires identification information of an evaluation target according to a detection result by the specific operation detection unit, Identification information storage means for storing the identification information of the evaluation target acquired by the identification information acquisition means in a storage section, and evaluation of an evaluator who evaluated the identification information stored in the storage section and the evaluation target When the identification information and the evaluator identification information are received, the identification information and the evaluator identification information are associated with the identification information. Evaluation information updating means for updating the evaluation number of the evaluation target, and when the evaluator evaluates the evaluation target based on the evaluation number updated by the evaluation information updating means. Providing an evaluation order decision means for determining a value ranking, and the external device having the evaluation system, comprising.

  In the real world, it is possible to provide an evaluation system in which an evaluator can actively give an evaluation to an object and confirm the foresight of the evaluation.

It is an example of the figure which shows the schematic procedure of the evaluation system of a present Example. It is an example of the schematic block diagram of an evaluation system. It is an example of the hardware block diagram of an evaluation device. It is an example of the hardware block diagram of a server. It is an example of a functional block diagram of an evaluation system including an evaluation device. It is a figure which shows an example of ID displayed on the display part. It is an example of the figure which shows an evaluation result table and an object specific table typically. It is a figure which shows an example of a personal management table. It is a figure which shows an example of the top page displayed on the browsing client. It is a figure which shows an example of the personal page displayed on the browsing client. It is a figure which shows an example of the detail page displayed on the browsing client. It is a figure which shows an example of the comparison page displayed on the browsing client. It is an example of the flowchart figure which shows the procedure in which an evaluation device evaluates object. It is an example of the flowchart figure which shows the procedure in which an operation | movement detection part detects gesture operation | movement. It is an example of the sequence diagram which shows the procedure in which an evaluation system evaluates the object of evaluation based on ID. It is an example of the flowchart figure which shows the procedure in which a browsing client requests | requires evaluation data with respect to a server. It is an example of the figure which shows the schematic procedure of an evaluation system (Example 2). It is an example of the schematic block diagram of an evaluation system (Example 2). It is an example of functional block diagrams, such as an evaluation device (Example 2). It is an example of the figure which illustrates image data DB typically. It is an example of the figure which illustrates the outline of a visual search typically. An example of a word bounding box decision algorithm It is an example of the figure which illustrates grouping based on a word boundary typically. It is an example of the figure explaining the feature-value which makes 0 and 1 a feature-value. It is a figure which shows the example of calculation of the angle which a word boundary forms. It is an example of the figure explaining the feature-value based on word length. It is an example of the figure which shows the specific example about how a vertical layout is integrated with a horizontal layout. FIG. 28 is an example of a diagram illustrating a method of combining horizontal and vertical trigram information obtained in FIG. 27. It is an example of the sequence diagram which shows the procedure in which an evaluation system evaluates the object of evaluation based on ID.

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings.

FIG. 1 is an example of a diagram illustrating a schematic procedure of the evaluation system of the present embodiment.
(1) The evaluator carries the evaluation device 12. The evaluation device 12 is, for example, a portable communication terminal. When an evaluator encounters an evaluation object 11 of interest while moving in the real world, the evaluator generally walks and stops slowly.
(2) The evaluation device 12 continuously detects the evaluation target 11 capable of wireless communication. If communication is possible, the evaluation device 12 communicates with the evaluation target 11 and receives the ID. The ID is identification information for specifying the evaluation target 11.
(3) When the evaluator wants to evaluate the evaluation target 11 with an interest, the evaluator performs a predetermined specific operation. The specific action is arbitrary as long as it is an action that the evaluator consciously takes at the time of evaluation (it may not be an action that occurs unconsciously). For example, the evaluation device is moved in the space (gesture), voice input, operation of the evaluation device 12 or the like.
(4) When this specific operation is detected, the evaluation device 12 transmits the ID and the evaluator identification information to the server 13. The server 13 identifies the evaluation target 11 based on the ID and totals the number of evaluations. The tabulation of the evaluation number is to count up the evaluation number of the received ID every time the same ID is received. If the server 13 does not have the same ID, a new ID is registered and the evaluation number is set to 1. The evaluator identification information is, for example, a user ID, a user name, a unique number of the evaluation device, and the like.

Therefore, it means that the evaluation target 11 having an ID with a large number of evaluations compiled by the server 13 is evaluated by many evaluators. When the evaluation means “good thing”, it means that the evaluation target 11 is evaluated as being better by many evaluators.
(5) The server 13 updates the personal management table associated with the evaluator identification information. For example, it is recorded how many times the evaluation object 11 has been evaluated. In the example shown in the figure, it is recorded that this evaluator evaluated camera A with ID = 10882 ninth. The earlier this evaluation order, the higher the foresight, but it is difficult to say that there is foresight even if the evaluation object 11 that is not evaluated much is evaluated first. For this reason, the server 13 assigns a foresight rank to the evaluator based on the evaluation rank with respect to the evaluation number (for example, what percentage of the evaluation number is evaluated). For example, in camera A with ID = 10882, the foresight is considered to be high because it is evaluated ninth with respect to the number of evaluations by other evaluators of 13520. In this case, the server 13 assigns a high rank such as gold (there are silver, bronze, etc.) as the evaluator's foresight. The user can confirm that his / her insight has high foresight.

  Thus, in the evaluation system of the present embodiment, the evaluator can actively evaluate products and services in the real space. Moreover, the evaluator can confirm his foresight.

[Configuration example]
FIG. 2 shows an example of a schematic configuration diagram of the evaluation system 500 of the present embodiment. The evaluation system 500 includes an evaluation target (wireless communication chip 15) 11, an evaluation device 12, and a server 13. The browsing client 14 may be added to the evaluation system 500. In addition, although the person who carries the evaluation device 12 is referred to as an evaluator, the evaluator may be any person or a person who is given a certain qualification.

<Target of evaluation and wireless communication chip>
A wireless communication chip 15 is arranged on the evaluation target 11. The wireless communication chip 15 is, for example, an IC tag using, for example, RFID (Radio Frequency Identification). The IC tag has a relatively small chip and an antenna, and stores at least an ID. The IC tag reads out and transmits the ID when it receives radio waves or electromagnetic waves, or spontaneously. In general, the wireless communication chip 15 can be identified with the evaluation target 11. That is, it may be physically integrated with the evaluation target 11 and may be difficult to separate. However, it need not be physically integrated or difficult to separate.

  The wireless communication chip 15 is created by, for example, a semiconductor manufacturing process. Such a three-dimensional wireless communication chip 15 is affixed or embedded on the surface of a three-dimensional object or a flat object. The wireless communication chip 15 can be formed using a printing technique. The printing may be performed by any printing technique, for example, screen printing, flexographic printing, an inkjet method, or the like. Such a planar wireless communication chip 15 is formed directly on the surface of a three-dimensional object or a planar object, or attached after being formed by printing.

  The wireless communication chip 15 as an IC tag may be any type, such as a passive type that does not have a battery, an active type that has a battery and spontaneously transmits radio waves, or a semiconductor that has a battery but does not spontaneously transmit radio waves. Any of passive type may be used. The radio frequency band may be defined by national or regional standards, but the frequency band is not limited. For example, there are frequency bands such as 135 kHz or less, 13.56 MHz, UHF band (860 to 960 M), and 2.45 GHz. Further, an IC tag of a specific standard such as NFC (Near Field Communication) or Transfer Jet (registered trademark) can be used.

  For example, the active or semi-passive wireless communication chip 15 has a communication distance of around 100 meters. The wireless communication chip 15 that communicates at a UHF band frequency even in the passive type has a communication distance of 10 meters or more. For this reason, it is advantageous when evaluating the object 11 of the distant evaluation as viewed from the evaluator. On the other hand, since the wireless communication chip 15 that communicates at a frequency of 13.56 MHz has a communication distance of several centimeters, it is advantageous when an evaluator selectively evaluates a specific evaluation target 11 from many evaluation targets 11. It is.

  The ID is numbers, symbols, alphabets, or identification information in which these are combined. As product ID codes, JAN (Japanese Article Number) codes, EAN codes (European Article Number), and UPC (Universal Product Code) codes are known. The ID is preferably unique in the whole world, the whole country, or the country or region. However, since the ID is assigned by the provider of the evaluation target 11, the ID may be duplicated depending on the scale of the evaluation system 500. There is also. However, the IC tag stores not only the ID but also information on the evaluation target 11. Information stored in the IC tag is arbitrary information for facilitating management, and includes various information such as a product name, a provider name, a product size, a color, and a lot number. Therefore, the ID and other information hardly match. When the IDs overlap, the server 13 determines whether or not other information matches. If the other information does not match, the server 13 determines that the ID is another evaluation target 11. In this case, a branch number is assigned separately from the ID, and the uniqueness of the ID can be managed on the server side.

  On the other hand, when the evaluation system 500 is deployed in a specific range such as an exhibition or a department store, it is only necessary to count the number of evaluations in a specific range, so it is unique only in a specific range such as an exhibition or a product department. If it is enough.

  The wireless communication chip 15 may be a Bluetooth (registered trademark), a wireless LAN, or the like in addition to the IC tag.

  The evaluation target 11 only needs to have the wireless communication chip 15 and may be a tangible or intangible object. In the case of a tangible object, any object such as a product, an exhibit, a loaned item, a property owned by oneself or another person, a single item, a waste item, a feature fixed on a road, or a building can be an object 11 to be evaluated. Intangible objects include services (services), sightseeing spots, sights, places, spaces, etc., but can be evaluated because the wireless communication chip 15 can be placed by being linked to some tangible object. For example, services include restaurants, beauty salons, cleaning, repairs, human resource introduction, education, transportation, infrastructure services, administrative services such as ward / city halls, and medical institutions. In the case of service, the provider can arrange the wireless communication chip 15 at a service providing place, a place with a shop name, a table in a store, a cashier counter, a terminal of a store clerk, and the like. In the case of a sightseeing spot, a sight, a place, or a space, it can be placed on the nearest station, a bus stop, a signboard for explaining a sightseeing spot, or the like.

<Evaluation device>
The evaluation device 12 only needs to have a communication device capable of communicating with the wireless communication chip 15 and the server 13. For example, in the case of a smartphone, tablet, straight PC, mobile phone, PDA (Personal Digital Assistant), notebook PC, etc., the evaluator carries the evaluation frequently without using a specific evaluation device 12 because the evaluator carries it frequently. The object 11 can be evaluated. Further, as will be described later, the evaluator evaluates the evaluation target 11 with a specific operation, and therefore, the evaluation device 12 can be an object having a shape that facilitates the specific operation. For example, in the case of a baton, the evaluator can evaluate the evaluation object 11 simply by swinging down the baton. Further, a name tag is provided to visitors at an exhibition or the like, and this name tag can be used as the evaluation device 12.

  The evaluation device 12 periodically searches for the wireless communication chip 15 and receives an ID from the wireless communication chip 15 when the wireless communication chip 15 is detected. The fact that the wireless communication chip 15 has transmitted the ID may be recorded. When the evaluation device 12 detects the specific operation after receiving the ID, the evaluation device 12 transmits the ID and the evaluator identification information to the server 13. When the ID is received but no specific operation is detected, the ID of the evaluation device 12 is finally discarded.

  As another example of the communication procedure, the evaluation device 12 may search for the wireless communication chip 15 when detecting a specific operation, and receive an ID from the wireless communication chip 15 when the wireless communication chip 15 is detected. . Upon receiving the ID, the evaluation device 12 transmits the ID and the evaluator identification information to the server 13.

  The evaluation device 12 preferably stores the transmitted ID. Thereby, when the evaluator carrying the evaluation device 12 operates the browsing client 14, the evaluated ID can be input to the browsing client 14 to check the evaluation number of the evaluation target 11 evaluated by the evaluator 11. . Alternatively, the evaluation device 12 can be operated to check the evaluation number of the evaluation target 11 evaluated by the server 13 itself.

  The evaluation device 12 executes a program 114 (application), which will be described later, and performs processing characteristic of the present embodiment. The program 114 is downloaded from the server 13 or a file server operated by the server 13.

<Server>
The evaluation device 12 communicates with the server 13 via a network. The network is a network in which, for example, a mobile phone network, a wireless LAN network, or WiMAX is combined with an IP network (a network that communicates using an Internet protocol). That is, a mobile phone network or a WiMAX communication carrier gateway is connected to the IP network, and a wireless LAN access point is connected to the IP network via a router. The evaluation device 12 is connected to a mobile phone network or a WiMAX base station, communicates with the server 13 via a gateway, or is connected to a wireless LAN access point, and is connected to the server 13 from the access point via a router. ing.

  The IP address of the server 13 is registered in advance in the program 114 executed by the evaluation device 12. The evaluation device 12 may be given a global IP address in advance, or a base station or an access point may temporarily give a local IP address.

  The server 13 has two functions. One is a function for totaling evaluations (hereinafter referred to as a totaling function 21), and the other is a function for providing the number of evaluations to the browsing client 14 (hereinafter referred to as a providing function 22). The number of evaluations is the sum of the number of received IDs for each ID, or a weight for one reception (for example, one reception is counted twice, or the number of one reception is determined by the strength of the gesture. It is the sum of the results.

  In the providing function, the server 13 provides the evaluation number to the browsing client 14. The browsing client 14 is an arbitrary information processing apparatus, but the evaluation device 12 may become the browsing client 14 as it is. The browsing client 14 and the server 13 are connected via a network. The browsing client 14 connects to the server 13 via a browser, for example, receives and displays the evaluation number, and receives and displays the evaluation number transmitted as an e-mail. The URL (or IP address) of the server 13 is known to the browsing client 14 or is provided by a DNS (Domain Name Server).

  Further, when the evaluation device 12 operates as the browsing client 14, the evaluation number and rank can be received as a response to the transmitted ID. That is, the program 114 operating on the evaluation device 12 is responsible for communication.

  In this way, the viewer who operates the browsing client 14 determines what kind of evaluation object 11 is highly rated, how much evaluation the evaluation object 11 he / she has evaluated has received, You can check the rank of foresight. In addition, since the provider of the evaluation target 11 knows or at least obtains the ID of the evaluation target 11 provided by himself, the number of evaluations of the evaluation target 11 provided by inputting the ID into the browsing client 14 Can be confirmed.

[Hardware configuration diagram]
FIG. 3 shows an example of a hardware configuration diagram of the evaluation device 12. The evaluation device 12 includes a CPU 101, ROM 102, RAM 103, flash ROM 104, display unit 105, operation unit 106, media I / F unit 107, wireless LAN communication unit 108, carrier communication unit 109, camera 110, microphone 111, acceleration sensor 112, In addition, a short-range wireless communication unit 113 is included.

  The CPU 101 controls the overall operation of the evaluation device 12 by executing a program 114 stored in the flash ROM 104. The ROM 102 stores IPL (Initial Program Loader) and static data. The RAM 103 is used as a work area when the CPU 101 executes the program 114.

  The flash ROM 104 stores an OS executed by the CPU 101 (for example, Android (registered trademark), iOS (registered trademark), Windows (registered trademark)), middleware, and a program 114 that provides the following functions of the evaluation device 12. ing. The program 114 may be called an application.

  The display unit 105 is a liquid crystal, an organic EL, or a projector, and displays a UI (User Interface) screen. A graphic control unit (not shown) interprets a drawing command written in the video RAM by the CPU 101 and displays various information such as a window, a menu, a cursor, a character, or an image on the display unit 105. Note that the display unit 105 integrally has a touch panel and displays various soft keys that accept user operations.

  The operation unit 106 is a hard key that accepts an evaluator's operation, a touch panel, or a soft key displayed on the touch panel. The operation details of the hard key, the touch panel, and the soft key are notified to the CPU 101.

  The media I / F 107 controls reading or writing (storage) of data with respect to a recording medium such as a flash memory.

  The program 114 is a file in an installable or executable format, and is distributed on a computer-readable recording medium. Further, the program 114 is distributed to the evaluation device 12 in a file that can be installed from the server 13 or can be executed, for example.

  The wireless LAN communication unit 108 transmits and receives data by controlling the modulation method, transmission speed, frequency, and the like based on IEEE802.11b / 11a / 11g / 11n. When data is received, the received radio wave is converted into a digital signal, and when data is transmitted, data requested to be transmitted from the CPU 101 is modulated according to a communication standard and transmitted as a radio wave.

  The carrier communication unit 109 performs various communications by a telecommunications carrier contracted by an evaluator of the evaluation device 12. The telecommunications carrier is, for example, a mobile phone carrier, a WiMax carrier, or the like that communicates with a communication standard such as CDMA or LTE. The carrier communication unit 109 is equipped with a SIM (Subscriber Identity Module Card) card. The SIM card is an IC card that stores contractor information issued by a telecommunications carrier to a contractor, and mainly stores a unique number called IMSI (International Mobile Subscriber Identity), a mobile phone number, and the like. .

  The carrier communication unit 109 performs modulation or the like according to a communication method determined by a telecommunications carrier and communicates with a base station (not shown) connected to the Internet. The base station is connected to the carrier server 13 of the telecommunication carrier, and the carrier server gives a temporary IP address to the evaluation device 12 and transmits the ID to the IP network via the gateway.

  The camera 110 is a color image pickup unit including a CCD or CMOS photoelectric conversion element. When the camera 110 is a stereo camera or has a distance measuring function using ultrasonic waves or the like, the distance to the evaluation target 11 is known, and therefore the size of the evaluation target 11 can be estimated from the focal length of the lens. In this case, discrimination based on the image of the evaluation target 11 is facilitated.

  The microphone 111 collects the evaluator's voice and converts it into an electrical signal. In addition, the program 114 operating on the evaluation device 12 performs so-called speech recognition that converts this electrical signal into text data.

  The acceleration sensor 112 is a sensor that detects acceleration in the x-axis, y-axis, and z-axis directions. The acceleration sensor 112 detects the direction of the evaluation device 12 and detects the moving direction in space. In addition to the acceleration sensor 112, a gyro sensor, a geomagnetic sensor, a fingerprint sensor, or the like may be provided. The gyro sensor detects the angular velocity of the evaluation device 12 with respect to the x-axis, y-axis, and z-axis. The geomagnetic sensor detects the direction from the direction of geomagnetism. Combining the detection results of these sensors makes it possible to detect complex specific operations.

  The short-range wireless communication unit 113 performs RFID communication with the wireless communication chip 15. In the case of the passive type, communication is performed according to the following procedure. The short-range wireless communication unit 113 transmits radio waves to a predetermined range. This radio wave includes a control signal (command) for controlling the wireless communication chip 15. The wireless communication chip 15 receives the radio wave, and the antenna resonates with the radio wave to generate an electromotive force. The generated power starts the circuit and performs a process according to the control signal (a process for reading and transmitting the ID). . The wireless communication chip 15 modulates a carrier wave having a predetermined frequency with an ID and transmits it as a radio wave. The short-range wireless communication unit 113 demodulates the radio wave and extracts the ID.

  The short-range wireless communication unit 113 may be Bluetooth (registered trademark), UWB (Ultra Wide Band), or the like, and may have a function of RFID communication separately from these.

  FIG. 4 shows an example of a hardware configuration diagram of the server 13. The server 13 may have a general information processing apparatus configuration.

  The server 13 includes a CPU 301, ROM 302, RAM 303, HDD 304, graphic board 305, keyboard / mouse 306, media drive 307, and communication device 308. The CPU 301 controls the entire server 13 by executing the program 310 stored in the HDD 304 using the RAM 303 as a working memory. A keyboard / mouse 306 is an input device that receives an operation of a system administrator. The media drive reads and writes data on optical media such as CDs, DVDs, and Blu-ray discs. The communication device 308 is, for example, an Ethernet (registered trademark) card for connecting to a network. A display 320 is connected to the graphic board 305, and a GUI (Graphical User Interface) or a CUI (Character-based User Interface) is displayed on the display 320 on the graphic board 305.

  The HDD stores an OS (Windows (registered trademark) Linux (registered trademark), etc.), middleware, and a program 310 that provides the aggregation function 21 and the providing function 22. The program 310 is a file in an installable or executable format, and is distributed by being recorded on a computer-readable recording medium. The program 310 is distributed as a file that can be installed or executed from a server 13 (not shown).

  Although the hardware configuration of the browsing client 14 is the same as that of the server 13, it does not need to be the same.

[About functions]
FIG. 5 shows an example of a functional block diagram of an evaluation system including an evaluation device. The evaluation device 12 includes a communication unit 31, an Internet communication unit 32, a control unit 33, a storage unit 34, and an operation sensing unit 35. The evaluation device 12 is controlled by the control unit 33. The control unit 33 controls the communication unit 31 and the Internet communication unit 32 according to a predetermined procedure, and transmits the ID and the evaluator identification information received from the wireless communication chip 15 to the server 13. Note that the Internet communication unit 32 can receive information on the evaluation number and rank.

<Evaluation device>
The communication unit 31 acquires the ID from the wireless communication chip 15 by controlling the short-range wireless communication unit 113. The Internet communication unit 32 controls the carrier communication unit 109 and the wireless LAN communication unit 108 to communicate with the server 13 based on the application layer protocol such as FTP and HTTP, and transmits the ID and the evaluator identification information to the server 13. To do.

Since there are a plurality of evaluation targets 11 in the communicable range of the communication unit 31, a plurality of wireless communication chips 15 may return IDs in a short time. In this case, the ID transmitted from the Internet communication unit 32 to the server 13 is controlled as follows.
・ Send all ・ Send only one last ID ・ Send only one ID selected by the evaluator ・ Send only one ID with the highest signal strength Send all This is a case where the evaluation target 11 may be evaluated collectively, and is effective for evaluating a series of commodities such as daily necessities and interiors having a uniform design. The last ID is the last ID received when a predetermined time or more has passed after receiving the newest ID until the next ID is received (that is, when reception of the ID is interrupted). is there. It is assumed that the evaluator is moving and stops when he / she is interested in the evaluation target 11, but the last ID is likely to be the ID of the evaluation target 11 he / she is interested in when he / she stopped. For this reason, the ID of the evaluation object 11 evaluated by the evaluator can be transmitted to the server 13 by transmitting the last ID.

The ID selected by the evaluator is an ID selected by the evaluator from several IDs.
FIG. 6A is a diagram illustrating an example of an ID that is communicated by the communication unit 31 and displayed on the display unit 105. For example, there are three evaluation targets 11 (cameras in the figure) in the communication range, and the display unit 105 displays three IDs. In this case, the evaluator specifies the ID of the evaluation target 11 being evaluated by causing the evaluation device 12 to communicate with the evaluation target 11 again. When the short-range wireless communication unit 113 has directivity, the evaluation target 11 facing the evaluation device 12 returns an ID, and thus the evaluator can specify the ID of the evaluation target 11. When the wireless communication chip 11 transmits information such as a product name to the evaluation device 12, the evaluation device 12 displays the product name and the like together with the ID on the display unit 105, so that the evaluator can easily select the ID.

  The ID having the highest radio wave intensity is the evaluation target 11 that is closest to the evaluation device 12. FIG. 6B is a diagram illustrating an example of an ID selected based on the radio field intensity. Since the communication unit 31 can specify the ID of the wireless communication chip 15 having the strongest radio wave intensity, the evaluation device 12 surrounds the ID with a rectangular frame or reverse-displays the ID, for example. If the evaluator is interested in the evaluation target 11, it is considered that the evaluator is approaching the evaluation target 11, and therefore the ID of the evaluation target 11 being evaluated by the evaluator can be transmitted.

  Note that the Internet communication unit 32 may transmit the ID of the wireless communication chip 15 having the highest radio wave intensity to the server 13 without causing the evaluator to select the ID.

  Here, it may be preferable for the Internet communication unit 32 to add information other than the ID. For example, the server 13 may not be able to specify the evaluation target 11 only by the ID (when the ID is not registered or when the ID 11 is the same but a different evaluation target 11 is registered). Therefore, the Internet communication unit 32 transmits related information that may be related to the evaluation target 11 together with the ID.

  The related information includes, for example, information received from the wireless communication chip, a unique number of the evaluation device 12 (this may be evaluator identification information), position information, time information, the evaluator's traveling direction, and the evaluation target 11. An image, a comment input by the evaluator about the evaluation target 11, and the like. Information received from the wireless communication chip is arbitrary information for facilitating management as described above. The unique number is, for example, an IMSI or a mobile phone number. The position information is detected by a GNSS (Global Navigation Satellite Systems) included in the evaluation device 12. It can also be calculated from the radio wave intensity from a plurality of base stations and the position of the base station. The traveling direction is information indicating east, west, north, and south, and is specified by time-series position information or a detection value of a geomagnetic sensor, for example. The image of the evaluation target 11 is taken by the camera 110. The comment is, for example, the name of the evaluation target 11 or specific evaluation contents, and is input to the evaluation device 12 by the evaluator.

  When the evaluation system 500 is developed within a specific range such as an exhibition or a department store, it is also effective to include personal information permitted by the evaluator to be transmitted in the related information. Personal information is mainly contact information, and includes company name, name, address, telephone number, e-mail address, and the like. There are many cases where the evaluator is interested in the evaluation target 11 and wants detailed materials of the evaluation target 11, and there are not a few providers of products and services that want to contact such evaluator. For example, there are many such needs in exhibitions.

  The storage unit 34 stores the ID received by the communication unit 31, and preferably the position information and time information when the ID is received. When the evaluator takes an image of the evaluation target with the camera 110, the image of the evaluation target 11 is stored.

  For example, the motion sensing unit 35 senses that the acceleration detected by the acceleration sensor 112 has occurred due to a specific motion and notifies the control unit 33 of it. The specific action detected by the acceleration sensor 112 is referred to as a gesture action. The specific operation sensed by the motion sensing unit 35 is, for example, a motion of vertically swaying the communication device. In this case, the motion sensing unit 35 senses an acceleration that continuously changes from a downward acceleration to an upward acceleration. . In addition, the specific operation can be defined as an operation in which the evaluator shakes the evaluation device 12 several times up and down, an operation that shakes the evaluation device several times in the right and left directions, an operation that protrudes forward, etc. Detects changes in acceleration. The motion sensing unit 35 stores a change in typical acceleration of each specific motion in advance, and detects the specific motion of the evaluator by comparing it.

  Further, the specific operation may be not only a gesture operation but also an input by voice as a specific operation, and an operation on the hard key, soft key, or touch panel of the evaluation device 12 may be a specific operation.

  Also, taking a picture may be a specific action. In addition, it is also possible to set the condition for ID transmission to detect a plurality of specific actions by combining voice input or an operation to the evaluation device 12 with a gesture action.

  Further, the motion sensing unit 35 can distinguish and detect a specific operation with a good evaluation and a specific operation with a bad evaluation. In this case, a change in acceleration typical of a specific action of good evaluation and a specific action of bad evaluation is stored in advance, and the specific action of the evaluator is detected by comparing with each of them.

<Server>
Aggregation Function The aggregation function 21 of the server 13 includes an ID reception unit 23, an evaluation number addition unit 25, an ID determination unit 24, a target identification unit 26, a personal management table generation unit 19, and an evaluation information management DB 20. . The evaluation information management DB 20 may not be included in the server 13 as long as the server 13 can access it.

  The ID receiving unit 23 receives the ID, the evaluator identification information, and the related information when there is related information from the evaluation device 12. The ID determination unit 24 specifies the evaluation target 11 based on the ID. As described above, the evaluation target 11 may or may not be specified by the ID. For example, when an ID is assigned only to the evaluation target 11 registered in advance in the server 13, the ID determination unit 24 can uniquely identify the evaluation target 11 from the ID. Such a situation can be realized in the real world where the evaluation system 500 is deployed in a specific range such as an exhibition or a department store. On the other hand, when various providers give arbitrary IDs to the evaluation target 11 without involving the server 13, it becomes difficult to specify the evaluation target 11 only by the ID. That is, there are cases where IDs are not registered in the server 13 or IDs overlap.

  If there is an ID that matches the ID already registered in the evaluation information management DB 20, the ID determination unit 24 notifies the evaluation number adding unit 25 of the ID. When there is a possibility that the IDs overlap, the IDs that overlap are narrowed down based on the related information, and the evaluation number adding unit 25 is notified of the IDs.

  If there is no ID that matches the ID already registered in the evaluation information management DB 20, the ID determination unit 24 newly registers the ID in the evaluation information management DB 20 and notifies the evaluation number addition unit 25 of the ID. The evaluation number of the newly registered ID is zero.

  Note that the ID determination unit 24 may refer to the unique number included in the related information and discard the ID when the ID has already been received from the same evaluation device 12. By carrying out like this, it can suppress that the same evaluator evaluates the object 11 of the same evaluation many times.

  FIG. 7A is an example of a diagram schematically illustrating an evaluation result table stored in the evaluation information management DB 20. In the example of the figure, “number of evaluations” and “related information” are associated with “ID”. The evaluation number adding unit 25 increases the evaluation number by one in principle. As described above, the related information includes a unique number, position information, an image of the evaluation target 11, a comment, information received from the wireless communication chip, and the like.

  The number of evaluations in FIG. 7A is the number of evaluations when ID transmissions are tabulated as good evaluations. When counting bad evaluations, two evaluation numbers such as “evaluation number (good)” and “evaluation number (bad)” are totaled.

  Moreover, it is preferable that the server 13 can identify what the evaluation target 11 is evaluated. For this reason, the server 13 has a target identification table.

  FIG. 7B shows an example of a target identification table stored in the evaluation information management DB 20. In FIG. 7B, “product ID” and “target information” are registered in association with “ID”. When the evaluation system 500 is deployed in a specific range such as an exhibition or department store, since the relationship between the ID and the product or service of the evaluation target 11 is specified, not only the ID of the evaluation target 11 but also the product ID, name, provider, price, etc. are known. The product ID is identification information for the product provider to specify the product. Since the product ID is managed by the provider, it may be unique within the same provider. “Name” describes, for example, the name of a product or service (for example, the brand name of camera A, camera B, camera C, restaurant, etc.) and the “provider” is, for example, the manufacturer of the evaluation target 11・ The seller is described. “Price” describes the price of the product, but is not required. In addition, the common names of products and services may be registered in the target specification table. Therefore, the browsing client 14 can browse the evaluation number by specifying the ID or the name of the evaluation target 11 or the provider.

  In addition, when an ID is given to the evaluation target 11 without the server 13 being involved, it is not possible to specify what evaluation target 11 the ID is alone. Therefore, it is preferable that the server 13 continuously constructs target information from related information.

  When the ID determination unit 24 determines that there is no ID that matches the ID registered in the evaluation information management DB 20, the target specifying unit 26 of the server 13 uses the ID and related information of the evaluation information management DB 20 to evaluate 11 is specified. For example, the target specifying unit 26 parses comments of related information to extract nouns, and specifies a name and a provider by a search using a dictionary or a search engine.

  When the motion sensing unit 35 senses a specific motion, the program 114 can display an input field such as a name, a provider, and a price on the display unit 105. When the evaluator explicitly inputs and transmits a name, a provider, a price, and the like, the target specifying unit 26 can reliably register the target information by using them.

  In addition, the wireless communication chip may store information such as a name, a provider, and a price. When the ID is transmitted to the evaluation device 12 together with the ID, the target specifying unit 26 uses the wireless communication chip information. The evaluation target 11 can be specified.

  In addition, the target identifying unit 26 identifies a store at the position indicated by the position information of the related information from the map data, and identifies the name and the provider. Store names (providers) are not often registered in map data, and it is possible to search for names of products and services handled from store names. Therefore, a name and a provider can be specified by putting position information and an address in a known search engine.

  The target specifying unit 26 can also specify the evaluation target 11 from the image. By searching the database and the Internet using the image matching method described in the second embodiment, an image that matches the image of the evaluation target 11 is specified, and the product name and seller are extracted from the description of the image. Specify the name, provider, and price. The target specifying unit 26 registers the information of the evaluation target 11 specified in this way in the target specifying table.

  When the ID is notified from the ID determination unit 24, the evaluation number adding unit 25 increases the evaluation number associated with the ID in the evaluation result table by one. By doing so, a high evaluation can be given to the evaluation target 11 having a large number of transmitted IDs.

  The personal management table generation unit 19 generates a personal management table for each evaluator. The personal management table is generated for each evaluator in association with evaluator identification information such as a unique number or a user ID. The personal management table is stored in the evaluation information management DB 20.

  FIG. 8A shows an example of the personal management table. “ID”, “name”, “number of evaluations”, “evaluation rank”, “evaluation date / time”, and “rank” are associated with all evaluation targets evaluated by a certain evaluator. “Name” may be read from the target identification table, “number of evaluations” may be read from the evaluation result table, and “evaluation date / time” may be read from related information in the evaluation result table. The “evaluation rank” is a value obtained by adding “1” to the number of evaluations immediately before the evaluator who transmitted the ID transmits the ID. The “rank” is determined as follows, for example.

  FIG. 8B is an example of a diagram for explaining a rank determination method. The rank determination method is merely an example, but in this example, the higher the number of evaluations and the higher the evaluation order, the higher the rank is assigned. For example, when there are three ranks (bronze <silver <gold), if the evaluation number is less than 1000, even if the evaluation rank is fast (within 100 in the figure), only the bronze rank is given. If the number of evaluations is less than 2000, the rank is only bronze and silver, and if it is 10000 or more, one of the ranks of bronze, silver and gold is given depending on the evaluation order. As described above, the higher the evaluation rank, the higher the rank is given to the rank types restricted according to the number of evaluations.

  Therefore, the evaluation rank of the evaluator is 9th, but the rank when the evaluation number is less than 1000 is bronze, but after that, when the evaluation number increases, the rank will increase like bronze → silver → gold.

  In FIG. 8B, there are only three levels, but it may be ranked in four or more levels, or all ranks may be assigned according to the evaluation rank regardless of the number of evaluations. In this case, for example, the top 10% is uniformly ranked as gold, the top 30% as silver, and the top 50% as bronze.

Thus, since the rank changes depending on the number of evaluations, the personal management table generation unit 19 updates the following two types of personal management tables each time an ID is transmitted.
a) The personal management table of the evaluator who sent the ID b) The personal management table of another evaluator in which the same ID has already been registered. An evaluator is specified, and a new record (ID, name, evaluation number, evaluation rank, evaluation date, rank) is registered in the personal management table of the evaluator who transmitted the ID. The rank at this time is determined by the current number of evaluations and evaluation rank.

  In the case of b), the personal management table generating unit 19 specifies the personal management table of the evaluator in which the same ID is already registered. Then, the rank of the record with the transmitted ID is updated based on the updated evaluation number. This is because there are evaluators whose ranks increase as the number of evaluations increases.

  Thus, each evaluator's personal management table is always given a rank based on the latest number of evaluations.

Providing Function The providing function 22 of the server 13 includes a browsing request receiving unit 27, an evaluation data creating unit 28, and an evaluation data transmitting unit 29. The browsing request receiving unit 27 receives a browsing request for the evaluation number from the browsing client 14. When the browsing client 14 accesses the server 13 with a browser, for example, the browsing request receiving unit 27 transmits the HTML data of the top page to the browsing client 14.

  FIG. 9A is a diagram illustrating an example of a top page displayed on the browsing client 14. In the top page, an input field 501 for a viewer (who is the operator of the browsing client 14 but may be the same as an evaluator) to input an ID, an input field 502 for inputting a name, and an evaluator An input field 503 for inputting a user name as identification information is arranged. An input field 501 is an input field for searching for an evaluation number, a product name, and the like from the ID, and an input field 502 is an input field for searching for an evaluation number, an ID, and the like from the product name. In addition to these, the product ID, the provider and the like may be input. When the product ID is already known, the viewer can reliably receive the evaluation number of the target 11 of the evaluation with the product ID. In this way, the viewer can search for the evaluation number of the evaluation object 11 by a desired method.

  An input field 503 is an input field for inputting information for identifying an evaluator in order to acquire a personal page. In the figure, an instruction to input “user name” is given as an example. Information that can specify an evaluator, such as a unique number and a user ID, may be input. If login is required to display the personal page and the evaluator has not logged in, a login screen is displayed thereafter.

  The provided function of the server 13 has a table in which user information in which a user name, a user ID, a unique number, a password, and the like are associated with each other is registered. If necessary, the user name or the like input in the input field 503 is converted into information (for example, a unique number) for identifying an individual in the personal management table.

  When the browsing request receiving unit 27 receives an ID or name and a search request from the browsing client 14, the evaluation data creating unit 28 creates evaluation data. When the ID is received, the evaluation data creation unit 28 searches the evaluation result table for the ID, and reads the evaluation number of the record (row) with the matching ID. In addition, when there is target information, it is preferable to read the target information together. The evaluation data creation unit 28 creates, for example, HTML evaluation data that includes at least an ID and the number of evaluations and can further include target information. The evaluation data transmission unit 29 transmits the evaluation data to the browsing client 14. When the product ID is received, the same processing is performed after converting the product ID into an ID.

  For example, when a name is received, the evaluation data creation unit 28 searches for all IDs matching the name from the evaluation result table (that is, if there are a plurality of IDs), and reads the evaluation number associated with each ID. The evaluation data creation unit 28 creates, for example, HTML evaluation data that includes at least an ID and the number of evaluations and can further include target information.

  Thereby, the browsing client 14 can display evaluation data as shown in FIG. In FIG. 9B, a search result area 504 is newly displayed. In the search result area 504, an ID, the number of evaluations, a name, and a provider are displayed. In this way, the browsing client 14 can display the number of evaluations of a certain real world evaluation target 11. In addition to the illustration, in principle, the browsing client 14 can display information managed by the server 13. For example, a comment, an image of the evaluation target 11, a location (position information) where the evaluation target 11 is located, and the like can be displayed.

  Further, the evaluation data creation unit 28 can process the number of evaluations and the like. The evaluation data creation unit 28 refers to the time information, for example, totals only the number of evaluations for the most recent hour, totals the number of evaluations for each region by referring to the position information, or refers to the unique number The number of evaluations by evaluator can be aggregated.

  On the other hand, when the browsing request receiving unit 27 receives a user name and a personal page provision request from the browsing client 14, the evaluation data creating unit 28 creates a personal page. The evaluation data creation unit 28 reads the personal management table associated with the unique number from the evaluation information management DB 20 and creates a personal page in a language such as HTML.

  FIG. 10 is a diagram illustrating an example of a personal page displayed on the browsing client. The contents are almost the same as those in the personal management table, but “25 IDs evaluated so far” are displayed, and detailed buttons 521 to 525 are displayed in each record. In addition, records can be sorted on a field-by-field basis when the viewer presses each feed name “ID” “name” “number of evaluations” “evaluation rank” “evaluation date” “rank” with a mouse or the like.

  When the viewer presses any of the detail buttons 521 to 525, the browsing client transmits an ID and a detailed page display request to the server 13. The browsing request receiving unit 27 receives this, and the evaluation data creating unit creates a detailed page in a language such as HTML. For example, it is assumed that the detail button 521 with ID = 10882 is pressed.

  FIG. 11A is a diagram illustrating an example of a detail page displayed on the browsing client. On the detail page, a part of information 531 of the personal page, a foresight graph 532, and a data column 533 are displayed. The foresight graph 532 is a graph that visually shows the evaluator's foresight. The horizontal axis represents the number of evaluations, the vertical axis represents foresight, and the asterisk represents your foresight. Further, the triangle is closer to the upper vertex, meaning that the evaluation rank or foresight is higher, the length of the base corresponds to the evaluation number, and the distance from the top of the star is determined by the evaluation rank. The shape of the triangle is the same even if the viewer changes. Thus, the viewer can visually grasp his foresight by looking at the position of the star.

  Any data may be displayed in the data column 533. As an example, the specification and word-of-mouth of camera A of a product corresponding to ID = 10882 can be cited. The specification is registered in the target identification table, for example, but may be imported from the Web. In addition, accessories that are closely related to the camera A, competing products of the camera A, and the like may be displayed.

  As described above, in this embodiment, the foresight varies depending on the number of evaluations even if the evaluation rank is the same. Therefore, the display of the foresight varies depending on the number of evaluations.

  FIG. 11B is a diagram showing an example of a detail page when the detail button 521 with ID = 10882 is pressed when the evaluation number is small (39 in the figure). Since the rank when the evaluation number is small is only bronze, it is less necessary to express the foresight with a triangle with an acute angle. For this reason, the figure of the foresight graph 423 is conical.

  In FIG. 11B, the position of the star is determined according to the number of evaluations and the evaluation rank. The distance from the top side of the cone is determined by the evaluation order, and the position in the horizontal axis direction is determined so as to be in the right direction as the evaluation number increases. In other words, the foresight is higher as the star is on the upper right.

  In addition, it is also effective for the browsing client to display the number of evaluations necessary for going up to the next rank. In the state where the number of evaluations is 39, since the remaining 961 evaluations are necessary to reach the bronze rank, “961 evaluations are necessary to become the bronze rank” is displayed. Further, by taking the date and time on the horizontal axis and the evaluation number on each date and time on the vertical axis, the transition (increase rate) of the evaluation number may be displayed, or the expected date and time that will be the bronze rank may be displayed.

It is also effective to display a comparison with other evaluators.
FIG. 12 is a diagram illustrating an example of a comparison page displayed on the browsing client. In FIG. 12, while displaying the number of IDs of each rank, it is also possible to display the number of IDs among all the evaluators.

  In FIG. 12, “rank”, “number of IDs”, “maximum number”, and “rank” are displayed. “Number of IDs” means the number of objects 11 to be evaluated, so this evaluator has a gold rank for 5 IDs, a silver rank for 3 IDs, and a bronze rank for 10 IDs. You can see that Therefore, the total number of IDs assigned with ranks is 18. “Maximum number” is the number of IDs of the evaluators having the largest number of IDs for each rank among all the evaluators. The number of IDs of the evaluator having the most gold rank is 18, the number of IDs of the evaluator having the most silver rank is 25, and the number of IDs of the evaluator having the most bronze rank is 35. The highest total is the sum of one evaluator. “Ranking” is displayed in the form of own ranking / all evaluators. Thereby, the evaluator can know how many of all evaluators are for each rank.

<Application example of evaluation system>
The operator of the evaluation system 500 described above provides an ID, the number of evaluations, related information, a product ID, and target information regardless of whether it is free of charge. For example, when the evaluation system 500 is applied to an exhibition or a department store, the ID and the evaluation number are provided to the exhibitor or the store in the department store. In this case, it is effective to provide related information, particularly personal information. Exhibitors in the exhibition and stores in the department store can grasp the evaluation object 11 with high evaluation based on the ID, and can contact an evaluator who is interested in the evaluation object 11.

  Further, when the evaluation system 500 is applied to an SNS (Social Networking Service) or a website, the SNS and the website can provide the evaluation target 11 having a high evaluation in the real world to the viewer of the website. As a result, the number of visitors to the SNS and website increases, and an increase in advertising revenue can be expected.

[Operation procedure]
FIG. 13 shows three communication procedures. These are merely examples, and any communication procedure may be employed, and other communication procedures may be employed.

  FIG. 13A is an example of a flowchart illustrating a procedure for evaluating the evaluation target 11 by the evaluation device 12 according to the present embodiment. The procedure in FIG. 13A is repeatedly executed while the evaluation device 12 is executing the program 114.

  The communication unit 31 establishes communication with the wireless communication chip 15 (S10). Establishing communication means that the wireless communication chip 15 and the communication unit 31 can communicate with each other, or that exchange of identification information with each other enables data transmission / reception. The communication procedure may follow a standard such as RFID. Communication establishment may be detected by receiving an ID. The communication unit 31 periodically searches for the wireless communication chip 15 and receives the ID when the wireless communication chip 15 exists in the communication range. Once the ID is received, the communication establishment state may not be maintained, and some information may be repeatedly transmitted and received to confirm that the other party exists.

  When the communication is established, it is also effective for the evaluation device 12 to notify the evaluator that the ID has been received by generating music or vibration or displaying a message or icon on the display unit 105. Since the evaluator receives the ID, the evaluator can grasp that the evaluation object 11 can be evaluated.

  When communication with the wireless communication chip 15 is established (Yes in S10), the control unit 33 determines whether or not the operation detection unit 35 has detected a specific operation (S20). This process will be described later.

  When the motion sensing unit 35 senses a specific motion (Yes in S20), the control unit 33 stores the ID of the wireless communication chip 15 in the storage unit 34 (S30). As described above, it is effective to store related information together.

  When communicating with a plurality of wireless communication chips 15, as described above, the evaluator or the evaluation device 12 may select one ID or may store all IDs.

  The control unit 33 causes the Internet communication unit 32 to transmit the ID and the evaluator identification information stored in the storage unit 34 to the server 13 (S40). When communication is difficult due to radio wave conditions, the Internet communication unit 32 transmits the ID stored in the storage unit 34 at a place where the radio wave conditions are good. In this way, the ID is transmitted to the server 13.

  Next, the procedure of FIG. 13B will be described. In FIG. 13B, contrary to FIG. 13A, the motion sensing unit 35 senses a specific motion prior to establishment of communication.

  In FIG. 13B, when the motion sensing unit 35 senses a specific motion (Yes in S20), the control unit 33 instructs the communication unit 31 to communicate with the wireless communication chip 15.

  When the communication unit 31 establishes communication with the wireless communication chip 15 (Yes in S10), the ID of the wireless communication chip 15 is stored in the storage unit 34 (S30). Also in this case, it is preferable that the evaluation device 12 notifies the evaluator that the ID has been received by music or the like.

  The control unit 33 causes the Internet communication unit 32 to transmit the ID and the evaluator identification information stored in the storage unit 34 to the server 13 (S40).

  In the procedure as shown in FIG. 13B, it is not necessary for the communication unit 31 to always search for the wireless communication chip 15, so that power consumption can be suppressed. In addition, since the specific operation and the reception of the ID are a series of processes, the evaluator can easily determine whether or not the ID of the evaluation target 11 for the purpose of evaluation has been received.

  Further, as shown in the procedure of FIG. 13C, a plurality of specific operations may be detected before the ID is transmitted.

  In FIG. 13C, when the motion sensing unit 35 senses the first specific motion (Yes in S20), the control unit 33 instructs the communication unit 31 to communicate with the wireless communication chip 15. The first specific action is, for example, a gesture action.

  When the communication unit 31 establishes communication with the wireless communication chip 15 (Yes in S10), the operation detection unit 35 determines whether or not the second specific operation is detected (S20-2). The second specific operation is, for example, a touch panel operation. When the second specific operation is detected, the control unit 33 stores the ID of the wireless communication chip 15 in the storage unit 34 (S30). Also in this case, it is preferable that the evaluation device 12 notifies the evaluator that the ID has been received by music or the like.

  Then, the control unit causes the Internet communication unit to transmit the ID and the evaluator identification information stored in the storage unit 34 to the server 13 (S40).

  In the procedure shown in FIG. 13C, the ID can be received by the first specific operation and the ID can be transmitted by the second specific operation. Therefore, the evaluator confirms the ID of the evaluation target 11 for the purpose of evaluation. Then, the ID can be transmitted to the server 13. Further, when a plurality of IDs are received in the first specific operation, one ID can be selected.

<Detection of specific operation in S20>
When the specific action is a gesture action, detection of the specific action by the action sensing unit 35 will be described. FIG. 14 is an example of a flowchart illustrating a procedure in which the motion sensing unit 35 senses a gesture motion.

  The acceleration sensor 112 records the acceleration in time series (S201).

  The motion sensing unit 35 takes out a time series of acceleration from several seconds to several hundred milliseconds in the past (S202).

  The motion sensing unit 35 time-matches a typical series of accelerations stored in advance and a detected series of accelerations (S203). For comparison, for example, DP (Dynamic Programming) matching is used. In DP matching, a difference between a typical series of accelerations and a detected time series acceleration is calculated as a distance.

  The motion sensing unit 35 determines whether the distance is within the threshold (S204). If the distance is within the threshold (Yes in S204), the motion sensing unit 35 senses a specific motion (S205) and is not within the threshold (No in S204). The specific operation is not detected (S206).

  Note that determination by DP matching is an example, and a specific operation can be detected by a known pattern recognition technique.

<Operation of evaluation system>
FIG. 15 is an example of a sequence diagram illustrating a procedure in which the evaluation system evaluates the evaluation target 11 based on the ID.

  The evaluation device 12 and the evaluation target 11 establish communication (S10), and the evaluation target 11 transmits the ID of the wireless communication chip to the evaluation device 12 (S15).

  When the evaluation device 12 senses a specific operation (S20), the evaluation device 12 transmits the ID and the evaluator identification information to the server 13 (S310). The evaluator identification information is, for example, a user name, a user ID, or a unique number.

  The ID determination unit of the server 13 specifies the evaluation target 11 of the evaluation information management DB 20 based on the received ID (S320). In the present embodiment, it may be assumed that the ID is registered in the evaluation information management DB 20, but if the ID is not registered, a new ID is registered.

  Next, the evaluation number adding unit 25 updates the evaluation number associated with the ID of the evaluation result table by the ID (S330). For example, the evaluation number is increased by one.

  Next, the personal management table generating unit 19 updates the personal management table (S340). Thereby, the rank of each individual may change.

  FIG. 16 is an example of a flowchart illustrating a procedure in which the browsing client 14 requests evaluation data from the server 13. The browsing client in FIG. 16 may be the evaluation device 12. It is assumed that the browsing client 14 is already displaying the top page at the start of the procedure of FIG.

  The browsing client 14 receives the evaluator's operation, and transmits, for example, a user name and a personal page provision request to the server 13 (S510).

  The evaluation data creation unit of the browsing client 14 searches the personal management table based on the user name, and specifies the personal management table associated with the user name (S520).

  The evaluation data creation unit reads the personal management table, generates a personal page (“ID”, “name”, “number of evaluations”, “evaluation rank”, “evaluation date”, “rank”) and transmits it to the browsing client (S530). .

  The browsing client displays a personal page (S540). As a result, a screen as shown in FIG. 10 is displayed.

  As described above, the evaluation system 500 according to the present embodiment actively evaluates any real product or service in the real world simply by the evaluation device 12 acquiring the ID and the evaluator operating the evaluation device 12. be able to. In addition, the evaluator can confirm the foresight to the evaluation.

In this embodiment, an evaluation system with different ID acquisition paths will be described.
FIG. 17 is an example of a diagram illustrating a schematic procedure of the evaluation system 500 of the present embodiment.
(1) The evaluator carries the evaluation device 12. The evaluation device 12 is, for example, a portable communication terminal. When an evaluator encounters an evaluation object 11 of interest while moving in the real world, the evaluator generally walks and stops slowly.
(2) When the evaluator wants to evaluate the evaluation target 11 with an interest, the evaluator performs a specific operation either before or after the shooting, and takes the evaluation target 11. In the case of an object, the object may be photographed directly. In the case of a service, a signboard or a store is photographed in a place related to the service.
(3) The evaluation device 12 transmits the image data to the search server 16. The search server 16 is a server having an image data DB (or feature database) in which image data of the evaluation target 11 is associated with an ID.
(4) The search server 16 searches the image data DB 42 based on the image data transmitted by the evaluation device 12 and identifies the ID of the evaluation target 11.
(5) When the search server 16 can identify the ID of the image data, the search server 16 transmits the ID of the image data to the evaluation device 12.
(6) The evaluation device 12 transmits this ID and the evaluator identification information to the server 13. The subsequent processes are the same as those in the first embodiment, and the server 13 counts up the number of ID evaluations in the evaluation result table and updates the personal management table.

  Therefore, according to the present embodiment, the evaluation device 12 can acquire the ID by taking a picture without communicating with the wireless communication chip 15 and receiving the ID. And the number of evaluation can be totaled similarly to Example 1, and the information regarding foresight can be provided.

[Configuration example]
FIG. 18 shows an example of a schematic configuration diagram of the evaluation system 500 of the present embodiment. In FIG. 18, only the main part of the part described in FIG. 2 will be described. The evaluation system 500 of this embodiment includes an evaluation target 11, an evaluation device 12, a server 13, and a search server 16.

  In this embodiment, the wireless communication chip 15 is not arranged on the evaluation target 11. Although it may be arranged, the evaluation device 12 receives the ID from the search server 16. The evaluation target 11 is the same as that in the first embodiment.

<Evaluation device>
The evaluation device 12 may be any device that has the camera 110 and can communicate with the server 13 and the search server 16. For example, in the case of a smartphone, tablet, straight PC, mobile phone, PDA (Personal Digital Assistant), notebook PC, etc., the evaluator carries the evaluation frequently without using a specific evaluation device 12 because the evaluator carries it frequently. The object 11 can be evaluated.

  When the evaluator photographs the evaluation object 11, the whole or a characteristic part thereof should be photographed. For example, the photograph is taken so that the entire object or logo is included. In the case of a service, the evaluator photographs a store signboard, the entire store, and the like. In the case of a sightseeing spot, a sight, a place, or a space, the nearest station or bus stop, a signboard for explaining a sightseeing spot, etc. may be photographed, or a so-called good sight or scenery is photographed. These assumed image data are registered in the search server 16.

<Search server>
The search server 16 may be an information processing device. The hardware configuration diagram of the search server 16 is the same as that of the server 13.

  The communication method in which the search server 16 communicates with the evaluation device 12 is the same as that in the case where the server 13 and the evaluation device 12 described in the first embodiment communicate. In the figure, the server 13 and the search server 16 are shown separately, but the server 13 and the search server 16 may be mounted in one information processing apparatus. The search server 16 searches the image data DB 42 for image data that matches the image data captured by the evaluation device 12.

[About functions]
FIG. 19 shows an example of a functional block diagram of the evaluation device and the like of this embodiment. 19A shows a functional block diagram when the search server 16 performs pattern matching, and FIG. 19B shows a functional block diagram when the search server 16 performs a visual search.
In FIG. 19, the description of the same components as in FIG. 5 is omitted.

  In this embodiment, the evaluation device 12 is configured to communicate with the search server 16. In addition, since the evaluation target 11 does not need to have the wireless communication chip 15 (may be), the evaluation device 12 does not need to have the communication unit 31. On the other hand, the evaluation device 12 includes a photographing unit 36 for photographing the evaluation target 11 with the camera 110.

  There are several variations in the procedure from image data capture to ID reception. For example, the operation sensing unit 35 can be triggered by detecting a specific operation. The imaging unit 36 captures the evaluation target 11 with the camera 110 and acquires image data. Similar to the first embodiment, it is preferable to store the time information and position information obtained in the storage unit 34.

  The Internet communication unit 32 controls the carrier communication unit 109 and the wireless LAN communication unit 108 to communicate with the search server 16 and transmit image data to the search server 16. An evaluator may photograph one evaluation object 11 a plurality of times. In addition, even if the evaluator performs the photographing operation once, the photographing unit 36 can easily retrieve the image data DB 42 by photographing several pieces of image data. Thus, unlike the ID, it may be effective for the Internet communication unit 32 to transmit a plurality of pieces of image data of the same evaluation target 11.

  In this embodiment, shooting can be regarded as a specific operation. In this case, the evaluator can acquire an ID simply by operating the program 114 and shooting the evaluation target 11. Further, when the evaluator wants to review and evaluate the captured image data later, it is also effective to detect a specific operation after the imaging.

  The control unit 33 stores the ID received from the search server 16 in the storage unit 34. The control unit 33 transmits the ID stored in the storage unit 34 to the server 13. The subsequent processing is the same as in the first embodiment.

Therefore, the procedure of the evaluation device 12 is as follows.
1) Detection of specific action → Shooting → Transmission to search server 16 → Reception of ID → Transmission of ID and evaluator identification information 2) Shooting (detection of specific action) → Transmission to search server 16 → Reception of ID → ID and evaluation 3) Shooting → Detection of specific action → Transmission to search server 16 → Reception of ID → Transmission of ID and evaluator identification information 1) The specific action is, for example, a gesture action, and the evaluator uses the evaluation device. The program 114 is activated by, for example, swinging 12 down, or the imaging unit 36 is activated by the already activated program 114. When the evaluator photographs the evaluation target 11 with the camera 110, the photographing unit 36 stores the image data in the storage unit 34, and the control unit 33 transmits the ID to the search server 16.

  In the case of 2), when the evaluator photographs the evaluation target 11 with the camera 110 while the program 114 and the photographing unit 36 are already activated, the image data is transmitted to the search server 16.

  In the case of 3), when the evaluator takes an image of the object 11 to be evaluated with the camera 110 and wants to evaluate it while viewing the image data taken later, the evaluator activates the program 114 and activates the image. Data is transmitted to the search server 16. The specific operation in the case of 3) is, for example, an operation on a soft key or a touch panel formed by the program 114. However, it is also possible to transmit by gesture operation. For example, if one image data is transmitted by one gesture operation (down), the evaluator can transmit a plurality of image data by performing the gesture operation several times.

<Search server search>
The search by the search server 16 will be described. The search server 16 searches for image data by two methods.
A. Pattern matching Visual search (when searching text image data)
A. Pattern Matching As shown in FIG. 19A, the search server 16 has a matching unit 41 and an image data DB. The image data DB 42 stores IDs and standard image data in association with each other. The standard image data is image data of various evaluation targets 11 or data obtained by converting it into feature data. There is no need for one standard image data for one evaluation target 11, and a plurality of standard image data may be associated with one evaluation target 11. For example, a plurality of image data obtained by photographing a specific coffee cup from different angles can be used as the standard image data. The standard image data may be taken in either color or grace case.

  FIG. 20 is an example of a diagram schematically illustrating the image data DB 42. In the image data DB 42, one or more standard image data is associated with one ID. The ID may be the same as the ID of the first embodiment, but may not be an IC stored in the wireless communication chip 15. Since the ID is identification information provided by the search server 16, it is guaranteed that the ID is unique within a range assumed by the evaluation system 500 (for example, the whole world, a certain country or region). All IDs registered in the image data DB 42 of the search server 16 are registered in the evaluation information management DB 20 of the server 13.

  The matching unit 41 identifies standard image data that is highly correlated with the image data received from the evaluation device 12, and transmits the ID of the standard image data to the evaluation device 12.

  The matching unit 41 performs preprocessing on the image data and then compares it with the standard image data. Preprocessing includes processing for enlarging and reducing the size of the image data so as to match the standard image data, processing for matching the color space, processing for matching the gradation of luminance, edge processing, and the like. The matching unit 41 uses known pattern matching such as SAD (Sum of Absolute Difference), SSD (Sum of Squared Difference), or NCC (Normalized Cross Correlation) for each pixel or each pixel block. The value of SAD and SSD decreases as the correlation increases, and the value of NCC approaches 1 as the correlation increases.

  The matching unit 41 identifies standard image data having the highest correlation, and reads the ID of the standard image data when the correlation is equal to or greater than a threshold value. Further, when there are a plurality of standard image data having a correlation greater than or equal to the threshold, all IDs may be read.

  When there is no standard image data having a correlation greater than or equal to the threshold value, the matching unit 41 newly assigns an ID to the image data received from the evaluation device 12 and registers it as standard image data in the image data DB 42. Thereby, the standard image data can be automatically increased.

  If there is no standard image data having a correlation greater than or equal to the threshold, the matching unit 41 can also search for image data on the Internet. List some highly correlated image data on the Internet and collect the target information. Names, providers, prices, etc. are often described in image data on the Internet, and target information can be collected. This process may be performed by the server 13.

  The search server 16 that has specified the standard image data transmits the ID to the evaluation device 12. The evaluation device 12 preferably adds related information to the ID and transmits it to the server 13. Thereby, the server 13 can count up the number of evaluations similarly to Example 1, and can register relevant information.

  Instead of communicating as “evaluation device 12 → (image data) → search server 16 → (ID) → evaluation device 12 → (ID) → server 13”, “evaluation device 12 → (image data) → search Communication may be performed in the order of “server 16 → (ID) → server 13”. In this case, the evaluation device 12 can complete the evaluation only by transmitting the image data to the search server 16. This is the same as when the server 13 and the search server 16 are mounted on the same information processing apparatus.

・ B. Visual Search As shown in FIG. 19B, the search server 16 includes a feature extraction unit 43, a classification unit 44, and a feature database 45.
FIG. 21 is an example of a diagram for schematically explaining the outline of the visual search. Visual search is a technique for extracting feature amounts of document images and comparing the feature amounts of two document images. The registered document image in the figure is a document image in which the feature amount is registered in advance, and the search image is an image taken by the evaluation device 12. The feature amount is obtained by quantifying the characteristic arrangement of the text, and an index is assigned to the registered document image. This index corresponds to the ID.

  For example, when a part of a newspaper or magazine article is photographed with the camera of the evaluation device 12 and transmitted to the search server 16, the feature amount is similarly extracted from the photographed document image, and the registered document image of the feature database 45 is stored. Compared with feature quantity. The search server 16 can specify not only the registered document image but also the position in the page.

  The feature amount will be described. FIG. 22 shows an example of a word bounding box determination algorithm. Word boundary box determination is to determine the boundary of one word in English. In a language that is not “split language” that does not have a clear break (blank) between words such as Japanese, “,” “.”, Etc. This is to determine the blank generated by.

  The document image is skew corrected. The text lines are aligned horizontally by deskewing. As shown in FIG. 22A, the feature extraction unit 43 calculates a horizontal projection profile (plan view characteristic). That is, a histogram of pixels is calculated in the horizontal direction, and the range in the vertical direction where the value exceeds the threshold value is determined as one line (one row).

  When each line is taken out in this way, the search server 16 specifies a word area for each line. The feature extraction unit 43 calculates a vertical projection profile (plan view characteristic) as shown in FIG. That is, a histogram of pixels is calculated in the vertical direction, and a horizontal range whose value exceeds the threshold is determined as a word (one word).

  FIG. 23 is an example of a diagram schematically illustrating grouping based on word boundaries. A circumscribed rectangle of each word detected in FIG. 22 is a word boundary. Once word boundaries are extracted, multiple groups can be formed from them. A group is, for example, a word whose word boundaries overlap each other, and the total number of words is at least three. For example, the first feature point (second word box in the second row with a length of 6; indicated by a black circle) is the first word box in the first row with the front word boundary Overlap, the back word boundary overlaps the second word box in the first row (they are 5 and 7 in length). Also, the front word boundary overlaps with the second word box in the third row (its length is 5).

  The second feature point (the fourth word box in the third row, which has a length of 5 and is indicated by a white circle) is the front word boundary of the third word box in the second row. Overlap, the back word boundary overlaps with the fourth word box in the third row (they are 4 and 5 in length). Also, the front word boundary overlaps with the second word box in the fourth row, and the rear word boundary overlaps with the third word box in the fourth row (the lengths are 8 and 7). ).

Accordingly, as shown in FIG. 23, each feature point is expressed as the length of the lower word box following the length of the upper word box. In this manner, the upper left vertex (or another vertex) of the word boundary can be used as the feature point.
First feature: 6 57 5
Second characteristic point: 5 45 87
It should be noted that the length of the word box may be based on any metric (unit).

  Next, the feature amount can be extracted so that the space is expressed by 0 and the word region is expressed by 1.

  FIG. 24 is an example of a diagram for explaining a feature quantity having 0 and 1 as feature quantities. The block representation on the right corresponds to the word / space area of the left document image (patch). That is, the word area is indicated by black pixels and the space is indicated by zero (0).

  In this case, the distance between 0 and 0 can be used as the feature amount. The extracted feature amount may be compared with various distance indexes (for example, including norm and Hamming distance). Alternatively, a hash table may be used to identify a document patch having the same feature amount as the query image (query image).

Next, an angle from each feature point to another feature point can be calculated.
FIG. 25 is a diagram illustrating an example of calculating an angle formed by a word boundary. In FIG. 25, the internal angles θ1 to θ3 when three word boundaries are connected are calculated. Any three or more word boxes may be extracted, or an angle when the word boundaries of one group described in FIG. 23 are connected may be calculated. The method of determining the word of interest is arbitrary.

  The calculated angle is compared with the angle from each feature point to another feature point in the query image. If some angle of feature points to be matched is similar, the similarity score may be increased. Alternatively, if a group of angles is used, and the series of angles between the groups in the two images are numerically similar, the similarity score may be increased. Once the score between the query image and each extracted document patch is calculated, the document patch that yields the highest score is selected and compared to an adaptive threshold to determine if the degree of match meets certain predetermined criteria. Confirm whether or not. If it meets the criteria, it is notified that a matching document patch has been found.

Further, the word length can be used as a feature amount.
FIG. 26 is an example of a diagram illustrating the feature amount based on the word length. As shown in the figure, the feature extraction unit 43 divides each word into estimated characters (plural) based on the height and width of the word. The word is divided into estimated characters. This feature amount is described together with (i) the length of the focused word, (ii) the text array in the line above the word, and (iii) the text array in the line below the word. The text arrangement information is represented by 1 or 0 as to whether or not each character of the focused word is a space.

  When the number of characters in the focused word is 6, 6-bit binary numbers are obtained in (ii) and (iii), respectively. In the case of the illustrated word, there are words above the first estimated character, and spaces above the second and third estimated characters. The upper side of the fourth to sixth estimated characters is a word. In addition, there are words below the first to fifth estimated characters, and spaces below the sixth estimated character. Therefore, the feature amount of the focused word is (6,100111,111110). When rewritten in integer form, the word is encoded as (6,39,62).

  An example of collation of documents in registered document image units by the classification unit 44 will be described. The classification unit 44 extracts the lengths of word pairs adjacent in the horizontal and vertical directions, and calculates the ranking of the patches in the feature database 45 individually. This focuses on the fact that an image of text contains two independent sources for its identity, and the word layout alongside the word, in addition to the word, identifies the document. In the following, collation is described using the length of a word pair as a feature quantity. However, collation can be performed using the feature quantities described in FIGS.

FIG. 27 is an example of a diagram illustrating a specific example of how a vertical layout is integrated with a horizontal layout. FIG. 27A shows a document image (patch) 601 and an example of division into words. From the document image 601, horizontal and vertical “n-grams” are determined. “N-gram” is a description method that describes the amount of features in a sequence of n numbers. For example, a horizontal trigram specifies the number of characters in each word in a horizontal sequence of three (= tri) words. For example, in the case of the image data in FIG. 27A, the horizontal and vertical trigrams are as follows.
·horizontal direction
5-8-7 ("upper", "division" and "courses")
7-3-5 ("Project", "has" and "begun")
3-5-3 ("has", "begun" and "The")
3-3-6 ("461", "and" and "permit")
3-6-8 ("and", "permit" and "projects")
·Longitudinal direction
5-7-3 ("upper", "Project" and "461")
8-7-3 ("division", "Project" and "461")
8-3-3 ("division", "has" and "and")
8-3-6 ("division", "has" and "permit")
8-5-6 "division", "begun" and "permit")
8-5-8 ("division", "begun" and "projects")
7-5-6 ("courses", "begun" and "permit")
7-5-8 ("courses", "begun" and "projects")
7-3-8 ("courses", "The" and "projects")
7-3-7 ("Project", "461" and "student")
3-3-7 ("has", "and" and "student")
The classification unit 44 searches the feature database 45 for documents including the horizontal and vertical trigrams determined as described above. FIG. 27D shows the search result of the horizontal trigram, and FIG. 27E shows the search result of the vertical trigram. That is, the horizontal trigram 7-3-5 appears in the book registration document images of the indexes 15, 22, 134. Also, for example, the vertical trigram 7-5-6 appears in the registered document images with indexes 15 and 17.

  FIG. 27 (f) shows a list in which the list of registered document images in which horizontal trigrams appear is ranked in descending order, and FIG. 27 (g) shows a list in which the list of registered document images in which vertical trigrams appear is ranked in descending order. . For example, in FIG. 27F, a registered document image with an index of 15 is referred to by five horizontal trigrams, whereas a registered document image with an index of 9 is referenced only by one horizontal trigram. Further, for example, in the case of FIG. 27G, the registered document image with the index of 15 is referred to by 11 vertical trigrams, but the registered document image with the index of 18 is referred to by only one vertical trigram. .

  FIG. 28 is an example of a diagram illustrating a method of combining the horizontal and vertical trigram information obtained in FIG. The classifier 44 uses information about the known physical location of the trigram in the registered document image to combine the list of votes from the horizontal and vertical feature extraction. For all registered document images that are common among the top M choices output by each of the horizontal and vertical classifiers, the location of all the horizontal trigrams that were supposed to exist in the registered document image are assumed to exist in the registered document image. Compared to all vertical trigram locations. Registered document images that overlap in any vertical trigram receive a vote count equal to the number of horizontal trigrams, where “overlap” occurs when the bounding boxes of the two trigrams overlap. That is, overlapping means that some words of the horizontal trigram and the vertical trigram overlap.

  For example, from the list shown in FIGS. 28A and 28B (the same as the list shown in FIGS. 27F and 27G), the classification unit 44 can display a list of registered document images referenced in both horizontal and vertical trigrams (FIG. 28 (c)).

  FIG. 28 (d) shows only the list included in the horizontal trigram of FIG. 27 (d) extracted from the list of FIG. 28 (c), and FIG. 28 (e) shows the list of FIG. 28 (c). Of these, only those included in the vertical trigram of FIG. 27 (e) are extracted.

  The classification unit 44 uses the lists shown in FIGS. 28C, 28D, and 28E and the feature database 45 to check the overlap of documents. For example, the registered document image at index 6 is referenced by the horizontal trigram 3-5-3 and by the vertical trigram 8-3-6, and these two trigrams overlap with respect to the word “has” in the document image 601. Therefore, the registered document image of index 6 obtains one vote for each overlap.

  FIG. 28 (f) shows an example of the number of votes of registered document images with indexes 15, 6, and 4. In the case of the document image 601, since the registered document image of the index 15 has acquired the maximum number of votes, it is confirmed as a document including the document image 601. (x1, y1) is confirmed as the location of the input image in the registered document image of index 15.

  27 and 28, trigrams are used, but any n-gram may be used for one or both of horizontal and vertical feature extraction / classification. For example, vertical and horizontal n-grams (n = 4, 5) may be used for feature extraction.

  Further, classification may be made based on adjacency relationships that are not strictly vertical or horizontal. For example, the adjacent relationship of NW (North West), SW (South West), NE (North East), and SE (South East) may be used for extraction / classification.

  As described above, when the evaluator evaluates the text, the text can be identified with high accuracy by photographing the text and using the visual search technology. For example, if an ID is assigned to each article of a magazine or each magazine, the evaluation can be performed when the evaluator thinks that the article should be on the spot in the magazine. Since the server 13 counts up magazine articles and magazine evaluation numbers, it is possible to rank articles and magazines with high evaluation numbers.

[Operation procedure]
FIG. 29 is an example of a sequence diagram illustrating a procedure in which the evaluation system 200 evaluates the evaluation target 11 based on the ID.

  The photographing unit 36 of the evaluation device 12 accepts the evaluator's operation and photographs the evaluation target 11 (S610).

  The Internet communication unit 32 transmits the image data to the search server (S620).

  The search server 16 searches the image from the image data DB or the feature database and specifies the ID (S630).

  The search server 16 transmits the ID to the evaluation device 12 (S640). As a result, the evaluation device 12 was able to acquire the ID of the evaluation target 11. The subsequent procedure is the same as that of the first embodiment.

  That is, the evaluation device 12 transmits the ID and the evaluator identification information to the server 13 (S310).

  The ID determination unit of the server 13 specifies the evaluation target 11 of the evaluation information management DB 20 based on the received ID (S320). In this embodiment, it may be assumed that the ID is registered in the evaluation information management DB. However, if the ID is not registered, a new ID is registered.

  Next, the evaluation number adding unit 25 updates the evaluation number associated with the ID of the evaluation result table by the ID (S330). For example, the evaluation number is increased by one.

  Next, the personal management table generating unit 19 updates the personal management table (S340). Thereby, the rank of each individual may change.

  As described above, the evaluation system 200 according to the present embodiment can evaluate the evaluation target 11 by taking an image even if the evaluation target 11 does not have an ID. In particular, since a text such as a magazine can be searched with high accuracy including its position, books and the like can be evaluated with high accuracy. In addition, Examples 1 and 2 can be used in combination.

DESCRIPTION OF SYMBOLS 11 Evaluation object 12 Evaluation device 13 Server 14 Browsing client 15 Wireless communication chip 16 Search server 31 Communication part 32 Internet communication part 33 Control part 34 Memory | storage part 35 Motion detection part 36 Image | photographing part 41 Matching part 42 Image data DB
43 Feature Extractor 44 Classification Unit 45 Feature Database 500 Evaluation System

JP 2011-96259 A Japanese Patent No. 4753616

Claims (9)

A specific operation detecting means for detecting a predetermined specific operation of the computer;
Identification information acquisition means for acquiring identification information of an evaluation target according to a detection result by the specific operation detection means;
Identification information storage means for storing the identification information of the evaluation target acquired by the identification information acquisition means in a storage unit;
A program for causing the identification information stored in the storage unit and the evaluator identification information of an evaluator who has evaluated the evaluation target to function as a transmission unit that transmits the evaluation number of the evaluation target to an external device. When,
When the identification information and the evaluator identification information are received, evaluation information update means for updating the evaluation number of the evaluation target associated with the identification information;
An evaluation rank determining means for determining an evaluation rank when the evaluator evaluates the evaluation target based on the number of evaluations updated by the evaluation information update section; and
An evaluation system characterized by comprising: The external device has, for each evaluator, a personal evaluation table in which the identification information, the evaluation rank, and an evaluation speed index value are associated with each other.
When the identification information and the evaluator identification information are received, the evaluation rank determination means registers the identification information and the evaluation rank in a personal evaluation table specified by the evaluator identification information, and
In the personal evaluation table of the evaluator different from the evaluator who transmitted the identification information and the evaluator identification information, the evaluation speed index value associated with the identification information transmitted by the evaluator Is updated based on the number of evaluations updated by the evaluation information updating means,
The evaluation system according to claim 1. When receiving the identification information and the evaluator identification information,
The evaluation rank determination means specifies the personal evaluation table associated with the other evaluator identification information in which the received identification information is already registered,
Updating the evaluation speed index value according to the number of evaluations updated by the evaluation information update means and the evaluation rank already registered in the specified personal evaluation table;
The evaluation system according to claim 2, wherein: The evaluation rank determining means includes
The higher the number of evaluations updated by the evaluation information updating means, the higher the evaluation index value,
The evaluation system according to claim 3. The evaluation rank determining means includes
The smaller the ratio of the evaluation rank to the number of evaluations updated by the evaluation information updating means, the higher the evaluation index value.
The evaluation system according to claim 3 or 4, wherein The external device is
When a browsing request for the personal evaluation table is received together with the evaluator identification information from the computer,
The evaluation number is represented by the length of the bottom of the figure, and has evaluation data creation means for creating a graph for plotting a mark at a higher position of the figure as the evaluation rank is smaller.
The evaluation system according to any one of claims 2 to 5, wherein: When functioning a computer as the identification information acquisition means,
The program controls wireless communication means to wirelessly communicate with the evaluation target, and receives the identification information from the evaluation target.
The evaluation system according to claim 1, wherein: When functioning a computer as the identification information acquisition means,
The program controls the photographing means to photograph the evaluation target,
Controlling the wireless communication means to transmit the image data to a second external device that stores the image data to be evaluated or the feature amount of the image data in association with the identification information;
Receiving the identification information of the object of evaluation taken from the second external device;
The evaluation system according to claim 1, wherein: When receiving the identification information of the evaluation target and the evaluator identification information of the evaluator, evaluation information update means for updating the evaluation number of the evaluation target associated with the identification information;
A computer capable of communicating with an external device having evaluation rank determining means for determining an evaluation rank when the evaluator evaluates the evaluation target based on the number of evaluations updated by the evaluation information updating means,
Specific operation detecting means for detecting a predetermined specific operation;
Identification information acquisition means for acquiring identification information of an evaluation target according to a detection result by the specific operation detection means;
Identification information storage means for storing the identification information of the evaluation target acquired by the identification information acquisition means in a storage unit;
The external device by transmitting the identification information stored in the storage unit and the evaluator identification information of the evaluator who evaluated the evaluation target to the external device that counts the evaluation number of the evaluation target A program that functions as a transmission unit that updates the number of evaluations to be evaluated corresponding to the identification information stored in the computer.