JP2015103221A - Visitor attribute distribution information estimation device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problem that it is not possible to easily grasp what type of customer visits a store in the future only by referring to the visit history of a customer.SOLUTION: A visitor attribute distribution information search part searches visitor attribute distribution information in a past first time zone similar to visitor attribute distribution information in the first time zone generated by the visitor attribute distribution information generation part from a visitor attribute distribution information storage part for storing visitor attribute distribution information based on the past result. A visitor attribute distribution information acquisition part acquires visitor attribute distribution information in a past second time zone posterior to the visitor attribute distribution information in the past first time zone searched by the visitor attribute distribution information search part from the visitor attribute distribution information storage part. A visitor attribute distribution information estimation part estimates visitor attribute distribution information in a future second time zone on the basis of the visitor attribute distribution information in the past second time zone acquired by the visitor attribute distribution information acquisition part.

Description

  The present invention relates to a store visitor analysis information estimation apparatus and program.

Patent Document 1 discloses a store visit status management system that manages customer visit status based on face information that identifies a customer.
Japanese Patent Application Laid-Open No. 2007-20653

  According to the store visit status management system as described above, it is possible to grasp the customer visit history. However, since the customer visit history shows past results, it is not possible to easily grasp what kind of customer will visit in the future simply by referring to the customer visit history.

  The store visitor attribute distribution information estimation device according to an aspect of the present invention includes an attribute specifying unit that specifies an attribute of a store visitor from a face image, and a first time based on the attribute of the store visitor specified by the attribute specifying unit. From the store visitor attribute distribution information generation unit that generates store visitor attribute distribution information indicating the attributes of the store visitor and the store visitor attribute distribution information storage unit that stores store visitor attribute distribution information based on past results, store visitor attributes A visitor attribute distribution information search unit for searching for visitor attribute distribution information in the past first time period similar to the visitor attribute distribution information in the first time period generated by the distribution information generation unit, and a visitor attribute A store visitor who acquires store visitor attribute distribution information in the past second time zone after the store visitor attribute distribution information in the past first time zone searched by the distribution information search unit from the store visitor attribute distribution information storage unit. Attribute distribution information acquisition part and store visitor A store visitor attribute distribution information estimation unit for estimating store visitor attribute distribution information in the future second time zone based on the store visitor attribute distribution information in the past second time zone acquired by the distribution information acquisition unit; Prepare.

  In the store visitor attribute distribution information estimation device, the store visitor attribute distribution information estimation unit, when there is one past first time zone searched by the store visitor attribute distribution information search unit, from the past first time zone. The past visitor attribute distribution information in the second past time zone is estimated as the visitor attribute distribution information in the second time zone in the future, and the past first attribute information retrieved by the visitor attribute distribution information search unit is estimated. When there are a plurality of time zones, average visitor attribute distribution information is generated from the visitor attribute distribution information of a plurality of past second time zones after a plurality of past first time zones, and the generated average May be estimated as store visitor attribute distribution information in the future second time zone.

  The store visitor attribute distribution information estimation device may further include a face image acquisition unit that acquires a store visitor's face image, and the attribute specifying unit may specify the store visitor attribute based on the face image.

  The store visitor attribute distribution information estimation device estimates a revisit rate indicating the rate at which a store visits a store based on facial expressions in the face images of a plurality of store visitors acquired by the face image acquisition unit. The store visitor attribute distribution information storage unit further stores store visitor attribute distribution information and store visitor return rates based on past results, and the store visitor attribute distribution information search unit includes: The past visitor attribute distribution information that is similar to the visitor attribute distribution information of the first time zone generated by the visitor attribute distribution information generation unit, and that corresponds to the revisit store rate that is similar to the revisit store rate estimated by the revisit store rate estimation unit. The store visitor attribute distribution information in the first time zone may be searched from the store visitor attribute distribution information storage unit.

  In the store visitor attribute distribution information estimation device, the store visitor attribute distribution information storage unit stores store visitor attribute distribution information together with the store attributes that the store visits, and the store visitor attribute distribution information search unit The past first time similar to the visitor attribute distribution information in the first time zone from the visitor attribute distribution information stored in the visitor attribute distribution information storage unit together with the store attributes similar to the store attributes The belt visitor attribute distribution information may be searched.

  In the store visitor attribute distribution information estimation device, the store attributes include: a region attribute indicating an attribute related to an area where the store is located, a scale attribute indicating an attribute related to the scale of the store, and an equipment attribute indicating an attribute related to equipment installed in the store At least one may be included.

  In the store visitor attribute distribution information estimation device, the store visitor attribute distribution information generation unit generates store visitor attribute distribution information for the second time zone based on the store visitor attribute specified by the attribute specifying unit, The store attribute distribution information search unit includes store visitor attribute distribution information in the second time zone generated by the store visitor attribute distribution information generation unit and a future second time zone estimated by the store visitor attribute distribution information estimation unit. If the error with the store visitor attribute distribution information does not fall within the allowable error range, it is similar to the store visitor attribute distribution information of the first time zone and the second time zone generated by the store visitor attribute distribution information generation unit The store visitor attribute distribution information of the past first time zone and the second time zone is searched, and the store visitor attribute distribution information acquisition unit searches for the past first time searched by the store visitor attribute distribution information search unit. Visitor belonging to the time zone and the second time zone The store visitor attribute distribution information of the past third time zone after the distribution information is acquired from the store visitor attribute distribution information storage unit, and the store visitor attribute distribution information estimation unit is acquired by the store visitor attribute distribution information acquisition unit Based on the visitor attribute distribution information in the past third time zone, the visitor attribute distribution information in the future third time zone may be estimated.

  The summary of the invention does not enumerate all the features of the present invention. In addition, a sub-combination of these feature groups can also be an invention.

It is a figure which shows an example of the whole structure of the store visitor attribute distribution information estimation system which concerns on this embodiment. It is a figure which shows an example of the functional block of a visitor attribute distribution information estimation apparatus. It is a figure which shows an example of store visitor attribute distribution information. It is a figure for demonstrating the search method of store visitor attribute distribution information. It is a figure which shows an example of the analysis result based on store visitor attribute distribution information. It is a flowchart which shows an example of the procedure of the estimation of store visitor attribute information by a store visitor attribute distribution information estimation apparatus. It is a flowchart which shows an example of the feedback process of the estimation result by a store visitor attribute distribution information estimation apparatus.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.

  FIG. 1 is a diagram illustrating an example of the overall configuration of the store visitor attribute distribution information estimation system according to the present embodiment. The store visitor attribute distribution information estimation system includes a store visitor attribute distribution information management device 20, a plurality of imaging devices 50, and a plurality of store visitor attribute distribution information estimation devices 100.

  The imaging device 50 and the store visitor attribute distribution information estimation device 100 may be installed in the store 10 visited by the store visitor. In the present embodiment, an example in which the imaging device 50 and the store visitor attribute distribution information estimation device 100 are installed in a game store will be described.

  The imaging device 50 may be installed in a place where a customer's face can be imaged, for example, at an entrance / exit of a game store, or a game machine, a game machine island facility, a counter, a payment machine, a counter, or the like installed in the game store. The imaging device 50 may image a predetermined area. The store visitor attribute distribution information estimation device 100 acquires a store visitor's face image from the image acquired from the imaging device 50, and specifies store visitor attributes such as store visitor's gender and age based on the face image.

  The store visitor attribute distribution information estimation device 100 generates store visitor attribute information indicating the distribution of the attributes of the specified store visitor. The store visitor attribute distribution information estimation device 100 generates, for example, store visitor attribute distribution information in a time period of 1 hour from 10:00 to 11:00 of the store opening time, and is similar to the generated store visitor attribute distribution information. Search past visitor attribute distribution information in the same time zone. The visitor attribute distribution information estimation device 100 acquires the past visitor attribute distribution information in the same time period searched and the visitor attribute information in the later time period of the same day, and the acquired past time Based on the store visitor attribute distribution information of the belt, the store visitor attribute distribution information in the future time zone, for example, the time zone from 11:00 to 12:00, one hour after the opening time, is estimated.

  The visitor attribute distribution information management device 20 is connected to a plurality of visitor attribute distribution information estimation devices 100 via a network 30, and stores visitor attribute information from the plurality of visitor attribute distribution information estimation devices 100 via the network 30. Collect and manage.

  FIG. 2 is a diagram illustrating an example of functional blocks of the store visitor attribute distribution information estimation device 100. The visitor attribute distribution information estimation device 100 includes a face image acquisition unit 102, an attribute specification unit 104, a visitor attribute distribution information generation unit 106, a visitor attribute distribution information search unit 108, a visitor attribute distribution information storage unit 110, and a visitor. Attribute distribution information registration unit 112, store visitor attribute distribution information acquisition unit 114, store visitor attribute distribution information estimation unit 116, store visitor attribute distribution information analysis unit 118, best-selling product storage unit 120, display unit 122, and revisit store rate estimation unit 124 is provided.

  The face image acquisition unit 102 receives an image captured by the imaging device 50, and acquires a visitor's face image from the received image. The attribute specifying unit 104 specifies the attributes of the store visitor based on the face image. The attribute specifying unit 104 analyzes the face image according to a predetermined face recognition algorithm, and specifies the sex and age of the store visitor as the store visitor attribute. The attribute specifying unit 104 may specify the attributes of the store visitor by a method other than the analysis of the face image. For example, the attribute specifying unit 104 may specify the attributes of the store visitor by reading a membership card owned by the store visitor. The attribute specifying unit 104 may specify the attributes of the store visitor based on information indicating the attributes of the store visitor input every time the store visitor visits. Moreover, the attribute specific | specification part 104 may specify a visitor's attribute based on the visitor's ID information received from the portable terminal which a visitor owns.

  The store visitor attribute distribution information generating unit 106 generates store visitor attribute distribution information indicating the store visitor attributes in the first time zone based on the store visitor attributes specified by the attribute specifying unit 104. The visitor attribute distribution information generation unit 106 may generate the visitor attribute distribution information every hour from the store opening time to the store closing time. In the present embodiment, the store visitor attribute distribution information generation unit 106 generates store visitor attribute distribution information for each time zone having one hour as a unit. However, the store visitor attribute distribution information generation unit 106 may generate store visitor attribute distribution information for each time period in units of days, years, and the like.

  The store visitor attribute distribution information generation unit 106 generates store visitor attribute distribution information indicating the number of persons and the composition ratio for each store visitor attribute as shown in FIG. 3, for example. The store visitor attribute distribution information generation unit 106 may generate a pie chart showing the distribution of store visitor attributes.

  The store visitor attribute distribution information storage unit 110 stores store visitor attribute distribution information based on past results. The store visitor attribute distribution information storage unit 110 stores store visitor attribute distribution information based on the past performance of the store. Further, the store visitor attribute distribution information storage unit 110 may store store visitor attribute distribution information based on the past performance of other stores provided from the store visitor attribute distribution information management device 20.

  The store visitor attribute distribution information of other stores stored in the store visitor attribute distribution information storage unit 110 includes a region attribute indicating an attribute related to a region where the store is located, a scale attribute indicating an attribute related to the store size, and the store attribute distribution information. You may narrow down based on the attribute of the store containing at least 1 of the equipment attribute which shows the attribute regarding equipment. The store visitor attribute distribution information storage unit 110 has at least one attribute of an area attribute indicating an attribute relating to an area where the store is located, a scale attribute indicating an attribute relating to the scale of the store, and an equipment attribute indicating an attribute relating to equipment installed in the store. You may store visitor attribute distribution information of similar or the same other stores.

  The store visitor attribute distribution information storage unit 110 may store store visitor attribute distribution information of other stores with a similar or identical business area population. The store visitor attribute distribution information storage unit 110 stores, for example, store visitor attribute distribution information of other stores having a population difference of less than 10% from the store's commercial area population as store visitor attribute distribution information of other stores having a similar market area population. May be. In addition, the store visitor attribute distribution information storage unit 110 may store store visitor attribute distribution information of other stores with similar or identical capacity of the store. The visitor attribute distribution information storage unit 110 may store visitor attribute distribution information of other stores with similar or the same number of installed gaming machines in the own store.

  The store visitor attribute distribution information search unit 108 searches the store visitor attribute distribution information of the past first time zone similar to the store visitor attribute distribution information of the first time zone generated by the store visitor attribute distribution information generation unit 106. A search is performed from the store visitor attribute distribution information storage unit 110. For example, as shown in FIG. 4, the store visitor attribute distribution information search unit 108 includes a composition ratio for each store visitor attribute in the first time zone, and a configuration for each store visitor attribute in the past first time zone. A composition ratio error for each attribute of the store visitor indicating the difference from the ratio is derived. Then, the store visitor attribute distribution information search unit 108 uses the store visitor attribute distribution information generation unit 106 to store store visitor attribute distribution information in the past first time zone in which the composition ratio error for each store visitor attribute is 5% or less. The search is performed as store visitor attribute distribution information in the first past time period similar to the generated visitor attribute distribution information in the first time period.

  The store visitor attribute distribution information search unit 108 generates the store visitor attribute distribution information generated by the store visitor attribute distribution information generation unit 106 in the past first time zone with the smallest composition ratio error for each store visitor attribute. You may search as visitor attribute distribution information of the past 1st time slot | zone similar to the visitor attribute distribution information of 1 time slot | zone. The visitor attribute distribution information search unit 108 stores the top five visitor attribute distribution information among the visitor attribute distribution information in the past first time zone in which the composition ratio error for each attribute of the visitor is 5% or less, for example. You may search as the visitor attribute distribution information of the past first time zone similar to the visitor attribute distribution information of the first time zone generated by the visitor attribute distribution information generation unit 106.

  Further, the store visitor attribute distribution information search unit 108 uses the first time in the past on another day similar to the store visitor attribute distribution information of the first time zone of the day generated by the store visitor attribute distribution information generation unit 106. Among the store visitor attribute distribution information of the belt, the past first attribute in which the visitor attribute distribution information of the first time zone of yesterday and the visitor attribute distribution information of the first time zone of the previous day of another day are further similar. The visitor attribute distribution information of the first time period in the past is similar to the visitor attribute distribution information of the first time period generated by the visitor attribute distribution information generation unit 106. You may search as.

  The store visitor attribute distribution information registration unit 112 registers the store visitor attribute distribution information generated by the store visitor attribute distribution information generation unit 106 in the store visitor attribute distribution information storage unit 110. Further, the store visitor attribute distribution information registration unit 112 transmits the store visitor attribute distribution information of the store to the store visitor attribute distribution information management device 20 in order to share the store visitor attribute distribution information with other stores. The visitor attribute distribution information registration unit 112 may transmit the visitor attribute distribution information to the visitor attribute distribution information management device 20 together with the attributes of the own store. The store visitor attribute distribution information management device 20 associates store attributes with store visitor attribute distribution information and stores them in the database.

  The visitor attribute distribution information acquisition unit 114 stores the visitor attribute distribution in the past second time zone after the past visitor attribute distribution information in the past first time zone searched by the visitor attribute distribution information search unit 108. Information is acquired from the store visitor attribute distribution information storage unit 110. The store visitor attribute distribution information acquisition unit 114 is the same as the past first time zone and the past on the same day after the store visitor attribute distribution information of the past first time zone searched by the store visitor attribute distribution information search unit 108. The store visitor attribute distribution information for the second time zone after the first time zone is acquired from the store visitor attribute distribution information storage unit 110.

  For example, the store visitor attribute distribution information storage unit 110 stores the store visitor attribute distribution information retrieved from the store visitor attribute distribution information search unit 108 in the past from 10:00 to 11:00 on the day after 11:00 on that day. The store visitor attribute distribution information at the time is acquired from the store visitor attribute distribution information storage unit 110. The store visitor attribute distribution information acquisition unit 114 closes the store on the same day as the past first time zone after the past visitor attribute distribution information of the past first time zone searched by the store visitor attribute distribution information search unit 108. The visitor attribute distribution information of each past time zone up to the time may be acquired.

  The store visitor attribute distribution information estimation unit 116, based on the store visitor attribute distribution information of the past second time zone acquired by the store visitor attribute distribution information acquisition unit 114, the store visitor attribute of the future second time zone Estimate distribution information. The visitor attribute distribution information estimation unit 116, when there is one past first time zone searched by the visitor attribute distribution information search unit 108, a past second time after the past first time zone. The visitor attribute distribution information of the belt may be estimated as the visitor attribute distribution information of the second time zone in the future. The visitor attribute distribution information estimation unit 116, when there are a plurality of past first time zones searched by the store visitor attribute distribution information search unit 108, a plurality of past past times after the plurality of past first time zones. Average store visitor attribute distribution information is generated from store visitor attribute distribution information in the second time zone, and the generated average store visitor attribute distribution information is estimated as store visitor attribute distribution information in the future second time zone. May be.

  The store visitor attribute distribution information analysis unit 118 is estimated by the store visitor attribute distribution information estimation unit 116 and the store visitor attribute distribution information in the first time zone based on the results generated by the store visitor attribute distribution information generation unit 106. Based on the visitor attribute distribution information of the future second time zone, the distribution of attributes of future visitor is analyzed. The store visitor attribute distribution information analysis unit 118, for example, the store visitor attribute distribution information in the first time zone generated by the store visitor attribute distribution information generation unit 106 and the future estimated by the store visitor attribute distribution information estimation unit 116. The attribute of the store visitor who is expected to increase in the future second time zone may be specified by comparing with the store visitor attribute distribution information of the second time zone.

  The store visitor attribute distribution information analysis unit 118 refers to the top selling product storage unit 120 that stores information on top selling products for each store visitor attribute, and sets the attributes of the store visitors that are expected to increase in the second time zone in the future. Corresponding hot selling products may be identified.

  The display unit 122 displays the analysis result of the store visitor attribute distribution information analysis unit 118. The visitor attribute distribution information registration unit 112, as shown in FIG. 5, is a pie chart that is visitor attribute distribution information in the first time zone (10 o'clock to 11 o'clock) based on results, and a second future based on estimation. A pie chart that is the store visitor attribute distribution information in the time zone (from 11:00 to 12:00) may be displayed. Further, the display unit 122 may display the attributes of the store visitors who are expected to increase in the second time zone in the future, and the current best-selling products of the store visitor's attributes.

  The revisit rate estimation unit 124 estimates a revisit rate indicating the rate at which the store visits the store based on the facial expressions in the face images of the plurality of store visitors acquired by the face image acquisition unit 102. . The re-visit store rate estimation unit 124 calculates a re-visit store rate indicating the rate at which the store visits the store based on the facial expressions in the face images of the plurality of store visitors the previous day acquired by the face image acquisition unit 102. presume.

  For example, the re-visit store ratio estimation unit 124 may derive the smile level of each facial expression in the face images of a plurality of visitors on the previous day acquired by the face image acquisition unit 102. The re-visit rate estimation unit 124 derives the mouth angle of the visitor from the face image of the visitor and derives the smile level of the visitor by referring to a table or function indicating the smile level corresponding to the mouth angle. , The smile degree of the visitor may be derived as a revisit rate. Then, the revisited store ratio estimating unit 124 may estimate the average of the revisited store ratios of a plurality of visitors as the revisited store ratio of the store on that day.

  The visitor attribute distribution information search unit 108 uses the visitor attribute distribution information generation unit 106 to generate the visitor attribute distribution information for the first time period based on the revisit store ratio estimated by the revisit store ratio estimation unit 124. You may narrow down visitor attribute distribution information of the past first time zone similar to.

  The store visitor attribute distribution information storage unit 110 may further store store visitor redistribution ratios based on past results together with store visitor attribute distribution information. For example, the store visitor attribute distribution information estimation device 100 derives the number of face images that match the plurality of face images acquired on the next day of the target day from the plurality of face images acquired on the target day. The store visitor attribute distribution information estimation device 100 then matches the number of face images acquired on the target date (total number of store visitors) and the plurality of face images acquired on the next day of the derived target date. The number of visitors to the store based on the past results may be derived based on the number of visitors (the number of visitors to the store), and registered in the store attribute distribution information storage unit 110 together with the store visitor attribute distribution information.

  The store visitor attribute distribution information search unit 108 is similar to the store visitor attribute distribution information in the first time zone generated by the store visitor attribute distribution information generation unit 106 and is revisited by the store visit rate estimation unit 124. The store visitor attribute distribution information storage unit 110 may be searched for the store visitor attribute distribution information in the past first time zone corresponding to the revisit store rate similar to the rate. The store visitor attribute distribution information search unit 108 is similar to the store visitor attribute distribution information in the first time zone generated by the store visitor attribute distribution information generation unit 106, and is estimated based on the face image of the store visitor on the previous day. Alternatively, the store visitor attribute distribution information storage unit 110 may be searched for past visitor attribute distribution information for the first time period in which the return visit ratio is similar to the return visit ratio based on the actual results.

  The store visitor attribute distribution information management device 20 may include a store visitor attribute distribution information storage unit 110. The store visitor attribute distribution information storage unit 110 may store a plurality of store visitor attribute distribution information with different store attributes. The store visitor attribute distribution information search unit 108 selects the first time zone from the store visitor attribute distribution information stored in the store visitor attribute distribution information storage unit 110 together with the store attributes similar to the store target attribute. You may search for the store visitor attribute distribution information of the past first time zone similar to the store visitor attribute distribution information. The store visitor attribute distribution information search unit 108 limits the store visitor attribute distribution information to be searched to store visitor attribute distribution information having store attributes similar to those of the store to be estimated, and stores the store visitor attribute distribution information storage unit. A search for visitor attribute distribution information from 110 may be performed.

  In addition, the error between the visitor attribute information in the second time zone estimated by the visitor attribute distribution information estimation unit 116 and the visitor attribute information in the actual second time zone may exceed the allowable range. is there. In this case, between the visitor attribute distribution information in the third time zone after the second time zone estimated by the visitor attribute distribution information estimation unit 116 and the visitor attribute information in the actual third time zone. The error may also exceed the allowable range.

  Therefore, the store visitor attribute distribution information estimation unit 116 may perform the store visitor attribute information estimation again when the error due to the previous estimation exceeds the allowable range. The visitor attribute distribution information estimation unit 116 may extend the time period for searching for similar visitor attribute information, and estimate the visitor attribute information again.

  After the second time period elapses, the store visitor attribute distribution information generation unit 106 generates store visitor attribute distribution information for the second time zone based on the store visitor attributes specified by the attribute specification unit 104. May be. The store visitor attribute distribution information search unit 108 stores the store visitor attribute distribution information in the second time zone generated by the store visitor attribute distribution information generation unit 106 and the future store estimated by the store visitor attribute distribution information estimation unit 116. If the error between the visitor attribute distribution information of the second time zone does not fall within the allowable error range, the visitor of the first time zone and the second time zone generated by the visitor attribute distribution information generation unit 106 You may search the store visitor attribute distribution information of the past 1st time slot | zone similar to attribute distribution information, and a 2nd time slot | zone. The store visitor attribute distribution information acquisition unit 114 then stores a past third time after the store visitor attribute distribution information in the past first time zone and the second time zone searched by the store visitor attribute distribution information search unit 108. The visitor attribute distribution information of the time zone may be acquired from the visitor attribute distribution information storage unit 110. In addition, the store visitor attribute distribution information estimation unit 116, based on the store visitor attribute distribution information of the past third time zone acquired by the store visitor attribute distribution information acquisition unit 114, the store visit of the future third time zone Person attribute distribution information may be estimated.

  FIG. 6 is a flowchart showing an example of a procedure for estimating visitor attribute information by the visitor attribute distribution information estimation device 100.

  The store visitor attribute distribution information generation unit 106 counts the number of store visitors in the target time zone for each visitor attribute, and generates store visitor attribute distribution information in the target time zone (S100). Next, the store visitor attribute distribution information search unit 108 searches for store visitor attribute distribution information in the past same time zone that is similar to the store visitor attribute distribution information in the target time zone (S102).

  The store visitor attribute distribution information acquisition unit 114 stores other past past time periods corresponding to the same past time zone after the past visitor attribute distribution information of the same same time zone searched by the store visitor attribute distribution information search unit 108. The store visitor attribute distribution information of the time zone is acquired (S104). When the target time zone is from 10 o'clock to 11 o'clock, the store visitor attribute distribution information acquisition unit 114 acquires store visitor attribute distribution information for each hour until the closing time after 11:00.

  Subsequently, the store visitor attribute distribution information estimation unit 116 determines whether or not there is a plurality of store visitor attribute distribution information for other time zones acquired by the store visitor attribute distribution information acquisition unit 114 for each time zone (S106). ). When the store visitor attribute distribution information in another time zone is one per time zone, the store visitor attribute distribution information estimation unit 116 obtains the past store visitor attribute distribution information in the other time zones as the other time zone. Each future store visitor attribute distribution information is estimated (S108).

  On the other hand, when there are a plurality of visitor attribute distribution information in other time zones for each time zone, the visitor attribute distribution information estimation unit 116 determines the time interval from a plurality of past visitor attribute distribution information for other time zones. In addition, the past average visitor attribute distribution information is generated (S110). The store visitor attribute distribution information estimation unit 116 may generate past average store visitor attribute distribution information by averaging the number of store visitors in other time periods for each store visitor attribute. The store visitor attribute distribution information estimation unit 116 estimates each past average store visitor attribute distribution information in other time zones as each future store visitor attribute distribution information in other time zones (S112).

  After the estimation by the visitor attribute distribution information estimation unit 116 is completed, the visitor attribute distribution information analysis unit 118 calculates the visitor attribute distribution based on the estimated future visitor attribute distribution information in the other time zones estimated. The display unit 122 displays the analysis result of the store visitor attribute distribution information analysis unit 118 (S114). The display unit 122 may display the attribute of the store visitor who is expected to increase in the next time zone after the target time zone, and the attribute-specific information of the store visitor such as the best-selling product according to the store visitor attribute.

  FIG. 7 is a flowchart illustrating an example of an estimation result feedback process performed by the store visitor attribute distribution information estimation apparatus 100.

  The store visitor attribute distribution information estimation unit 116 generates store visitor attribute distribution information estimated for other time zones after the target time zone and store visitor attribute distribution information for other time zones after the target time zone. An error between the actual store visitor attribute distribution information generated by the unit 106 is derived (S200). The store visitor attribute distribution information estimation unit 116 includes the number of visitors for each store attribute indicated in the store visitor attribute distribution information estimated for other time zones after the target time zone, and other items after the target time zone. The error with respect to the number of visitors for each attribute shown in the actual visitor attribute distribution information generated by the visitor attribute distribution information generation unit 106 is derived for the time zone.

  The store visitor attribute distribution information estimation unit 116 determines whether or not the derived error is within a predetermined allowable error range (S202). As a result of the determination, if the derived error is within the allowable error range, the store visitor attribute distribution information estimation unit 116 does not estimate the store visitor attribute distribution information in the remaining other time zones again. The store visitor attribute distribution information analysis unit 118 continuously uses the store visitor attribute distribution information of the remaining remaining time zone estimated last time, and analyzes the store visitor attribute distribution information of the remaining time zone (S204). ). The store visitor attribute distribution information analysis unit 118 uses the store visitor attribute distribution information of the remaining remaining time zone estimated last time to identify the attributes of the store visitors who are expected to increase in the remaining other time zones. It's okay.

  On the other hand, when the error is not included in the allowable error range, the store visitor attribute distribution information estimation unit 116 again performs the store visitor attribute distribution information estimation for each of the remaining time zones (S206). When the store visitor attribute distribution information is estimated again, the store visitor attribute distribution information search unit 108 includes the store visitor attribute distribution information generated by the store visitor attribute distribution information generation unit 106 and each of the store visitor attribute distribution information. The store visitor attribute distribution information storage unit 110 is searched for similar store visitor attribute distribution information in the same plurality of time periods in the past. The store visitor attribute distribution information search unit 108 uses a first past time similar to each of the store visitor attribute distribution information in the first time zone and the second time zone generated by the store visitor attribute distribution information generation unit 106. The store visitor attribute distribution information is retrieved from the store visitor attribute distribution information storage unit 110 for the time zone and the second time zone. By extending the time period for similarity determination in this way, future visitor attribute distribution information can be estimated more accurately. Then, the store visitor attribute distribution information estimation unit 116 records the previous search pattern as a failure search pattern in the storage unit (S208). The store visitor attribute distribution information search unit 108 may modify an algorithm for searching the store visitor attribute distribution information with reference to the failure search pattern recorded in the recording unit.

  For example, when the search result of the visitor attribute distribution information corresponds to a failure search pattern, the visitor attribute distribution information search unit 108 excludes the searched visitor attribute distribution information and again returns the visitor attribute distribution information. Distribution information may be searched. The visitor attribute distribution information search unit 108, for example, says that the searched visitor attribute distribution information is a specific other day of the week such as Tuesday when the day of the week in the target time zone is a specific day of the week such as Friday. If the search pattern is a failure search pattern, the store visitor attribute distribution information search unit 108 may specify other specific items such as Tuesday from the search target when the day of the week in the target time zone is a specific day of the week such as Friday. You may search by excluding the visitor attribute distribution information of the day of the week.

  As described above, according to the present embodiment, the store visitor attribute distribution information estimation device 100 uses the store visitor attribute distribution information based on the results generated for the target time zone from the store visitor attribute information based on the past results. The store visitor attribute distribution information similar to the store visitor attribute distribution information based on the results of the target time zone is searched. The store visitor attribute distribution information estimation device 100 then displays past store visitor attribute distribution information in another time zone after the target time zone on the same day as the searched store visitor attribute distribution information after the target time zone. Estimated as future visitor attribute distribution information in other time zones. The store visitor attribute distribution information estimation device 100 uses the store visitor attribute distribution information in the future time zone after the estimated target time zone to change the future visitor attribute changes in other time zones. Predict. Therefore, according to the present embodiment, it is possible to easily grasp what kind of store visitors will visit in the future.

  Each unit included in the store visitor attribute distribution information estimation apparatus 100 according to the present embodiment is stored in a computer-readable recording medium, and installs a program for performing various processes related to store visitor attribute distribution information estimation. You may comprise by making a computer perform. In other words, by causing the computer to execute programs for performing various processes related to the estimation of the store visitor attribute distribution information, the computer functions as each unit included in the store visitor attribute distribution information estimation device 100, whereby the store visitor attribute distribution information estimation device 100. May be configured.

  The computer has various memories such as a CPU, ROM, RAM, and EEPROM (registered trademark), a communication bus, and an interface. The CPU reads out processing programs stored in the ROM as firmware in advance and sequentially executes them. It functions as the distribution information estimation apparatus 100.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

  The order of execution of each process such as operations, procedures, steps, and stages in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before” or “prior to”. It should be noted that the output can be realized in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the description, and the drawings, even if it is described using “first”, “next”, etc. for convenience, it means that it is essential to carry out in this order. It is not a thing.

10 store 20 visitor attribute distribution information management device 50 imaging device 100 visitor attribute distribution information estimation device 102 face image acquisition unit 104 attribute identification unit 106 visitor attribute distribution information generation unit 108 visitor attribute distribution information search unit 110 visitor attribute Distribution information storage unit 112 Visitor attribute distribution information registration unit 114 Visitor attribute distribution information acquisition unit 116 Visitor attribute distribution information estimation unit 118 Visitor attribute distribution information analysis unit 120 Hot selling product storage unit 122 Display unit 124 Revisit rate estimation unit

Claims (8)

An attribute identifying unit that identifies an attribute of the visitor from the face image;
A store visitor attribute distribution information generating unit for generating store visitor attribute distribution information indicating the attributes of the store visitor in the first time zone based on the store visitor attributes specified by the attribute specifying unit;
A past similar to the store visitor attribute distribution information of the first time zone generated by the store visitor attribute distribution information generation unit from the store visitor attribute distribution information storage unit storing store visitor attribute distribution information based on the past results A store visitor attribute distribution information search unit for searching store visitor attribute distribution information in the first time zone of
The store visitor attribute distribution information stores the store visitor attribute distribution information in the past second time zone after the store visitor attribute distribution information in the past first time zone searched by the store visitor attribute distribution information search unit. Store attribute distribution information acquisition unit acquired from the department,
The visitor attribute distribution for estimating the visitor attribute distribution information in the future second time zone based on the past visitor attribute distribution information in the second time zone acquired by the store visitor attribute distribution information acquisition unit. A store visitor attribute distribution information estimation device comprising an information estimation unit. The store visitor attribute distribution information estimation unit
If the past first time zone searched by the store visitor attribute distribution information search unit is one, store visitor attribute distribution information in the past second time zone after the past first time zone is obtained. , Estimated as visitor attribute distribution information in the second time period in the future,
When there are a plurality of the past first time zones searched by the visitor attribute distribution information search unit, a plurality of visitors in the past second time zones after the past first time zones. The average store visitor attribute distribution information is generated from the attribute distribution information, and the generated average store visitor attribute distribution information is estimated as store visitor attribute distribution information in the future second time zone. Store visitor attribute distribution information estimation device. It further includes a face image acquisition unit that acquires a face image of the visitor,
The store visitor attribute distribution information estimation device according to claim 1, wherein the attribute specifying unit specifies an attribute of the store visitor based on the face image. A re-visit rate estimation unit that estimates a re-visit rate indicating the rate at which the store re-visits the store based on facial expressions in the face images of the plurality of store visitors acquired by the face image acquisition unit; ,
The store visitor attribute distribution information storage unit further stores the store visitor redistribution rate based on past results together with the store visitor attribute distribution information,
The store visitor attribute distribution information search unit is similar to the store visitor attribute distribution information of the first time zone generated by the store visitor attribute distribution information generation unit and is reestimated by the store visit rate estimation unit. 4. The store visitor attribute distribution information estimation device according to claim 3, wherein the store visitor attribute distribution information storage unit searches for store visitor attribute distribution information in the past first time zone corresponding to a store visit rate similar to the store visit rate. . The store visitor attribute distribution information storage unit stores the store visitor attribute distribution information together with the attributes of the store where the store visitor visits,
The store visitor attribute distribution information search unit includes the first time zone from the store visitor attribute distribution information stored in the store visitor attribute distribution information storage unit together with store attributes similar to the store target attribute. The store visitor attribute distribution information estimation device according to any one of claims 1 to 4, wherein the store visitor attribute distribution information in the past first time zone similar to the store visitor attribute distribution information is searched.   The attribute of the store includes at least one of a region attribute indicating an attribute related to an area where the store is located, a scale attribute indicating an attribute related to the size of the store, and an equipment attribute indicating an attribute related to equipment installed in the store. The store visitor attribute distribution information estimation device described in 1. The store visitor attribute distribution information generation unit generates store visitor attribute distribution information for a second time zone based on the store visitor attributes specified by the attribute specifying unit,
The store visitor attribute distribution information search unit includes the store visitor attribute distribution information generated by the store visitor attribute distribution information generation unit and the future estimated by the store visitor attribute distribution information estimation unit. If the error between the second time zone and the visitor attribute distribution information does not fall within an allowable error range, the first time zone and the second time generated by the visitor attribute distribution information generation unit Search for the visitor attribute distribution information in the past first time zone and second time zone similar to the visitor attribute distribution information of the belt,
The store visitor attribute distribution information acquisition unit is a past third after the store visitor attribute distribution information in the past first time zone and the second time zone searched by the store visitor attribute distribution information search unit. The store visitor attribute distribution information of the time zone is acquired from the store visitor attribute distribution information storage unit,
The store visitor attribute distribution information estimation unit is a store visitor of the future third time zone based on the store visitor attribute distribution information of the past third time zone acquired by the store visitor attribute distribution information acquisition unit. The store visitor attribute distribution information estimation apparatus according to any one of claims 1 to 6, wherein the attribute distribution information is estimated.   The program for functioning a computer as a store visitor attribute distribution information estimation apparatus as described in any one of Claims 1-7.

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