JP5813971B2 - Amusement system - Google Patents

Description

  The present invention relates to a game hall system for managing game data of a plurality of gaming machines in a gaming hall where a plurality of gaming machines of a plurality of models are installed.

  In the amusement hall, operation data for each model is calculated and output, and the operation data is used by the manager of the amusement hall to grasp the tendency, characteristics, popularity, etc. for each model (for example, patent documents) 1).

JP 59-069783 A

  For example, when a new model is introduced, the game hall administrator investigates whether the operation time of the entire game hall has increased, or if the operation time of the entire game hall has increased, it is compared with before the introduction. The effect of introducing a new model is measured by investigating how much it has increased. However, even if the operating time increases due to the introduction of a new model, the subsequent operating situation may have different effects depending on whether the cause is an increase in customers at first glance or the support of regular customers. As a result, there is a problem that the conventional system cannot distinguish the difference.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a game system that can more accurately measure the effect of introducing a new model.

The game hall system according to claim 1 is a game hall system for managing game data of a plurality of gaming machines in a gaming hall where a plurality of gaming machines of a plurality of models are installed, When a player plays a game on a gaming machine, identification information acquisition means for acquiring the identification information of the player, identification information storage means for storing the identification information of the player acquired by the identification information acquisition means, Game data calculating means for calculating game data for each gaming machine based on an input of a game signal output from the gaming machine, and storing the player identification information in association with the game data calculated by the game data calculating means A game data storage means, a same person determination means for determining whether two or more pieces of identification information acquired by the identification information acquisition means are identification information of the same person, and a determination by the same person determination means A game frequency determining means for determining a game frequency for each player over a plurality of days based on the results; a game frequency classifying means for classifying the players according to the game frequency determined by the game frequency determining means; and In a set determination period, player calculation means for calculating the number and / or percentage of players who have played a specific model for each of the categories classified by the game frequency classification means, and the calculation result of the player calculation means An output means for outputting, and configured to determine a past model that a player who has played a newly introduced model has previously liked and to output the number of players of the past model It is characterized by that.

  The game hall system according to claim 2 includes a specifying unit that specifies a model in which a difference in calculation results of the player calculation means is within a predetermined range, and the output means calculates the calculation result of the player calculation means. In addition, the game information of a model whose difference from the calculation result is within a predetermined range is output.

The game hall system according to claim 3 is characterized in that the identification information acquisition means is a camera, and the identification information is an image of a player captured by the camera.
A game hall system according to claim 4 is a game hall system for managing game data of a plurality of gaming machines in a gaming hall where a plurality of gaming machines of a plurality of models are installed, An identification information recording medium for recording identification information capable of identifying the player, identification information reading means provided corresponding to each gaming machine for reading the identification information recorded by the identification information recording medium, and output from the gaming machine Game data calculation means for calculating game data for each gaming machine based on the input of the game signal to be played, and a game data storage for storing the player identification information in association with the game data calculated by the game data calculation means Based on the determination result of the means, the same person determination means for determining whether or not the two or more pieces of identification information read by the identification information reading means are identification information of the same person, and the same person determination means Game frequency determination means for determining a game frequency for each player over a plurality of days, game frequency classification means for classifying a player according to the game frequency determined by the game frequency determination means, and a preset determination period A player calculating means for calculating the number and / or percentage of players who have played a specific model for each of the categories classified by the game frequency classifying means, and an output means for outputting a calculation result of the player calculating means. , And a player who has played a newly introduced model is configured to determine a past model that the player has previously preferred to play, and to output the number of players of the past model. .

  According to the game hall system described in claim 1, the game frequency for each player is determined over a plurality of days, the players are classified according to the determined game frequency, and in a predetermined determination period. Since the number and / or percentage of players who played a specific model for each of the divided categories was calculated and output, the number of regular customers (games for a specific model) was added to the game data after the introduction of the new model. The number of players) and the ratio can be predicted, and the future trend can be predicted. By investigating the customer base after the introduction of a new model, how the customer base configuration affects the subsequent operation The effect of introducing a new model can be measured more accurately.

  According to the game hall system according to claim 2, in addition to calculating and outputting the number and / or ratio of the players who played the specific model, the difference from the calculation result is within a predetermined range. Since the game information of the model is output, it is possible to extract and output the model that approximates the customer base configuration, and easily predict the subsequent operating status by referring to the operating status of the approximate model can do.

  According to the system for a game hall described in claim 3, since the player is identified based on an image obtained by imaging the player, for example, unlike the case where the player is identified based on a fingerprint or a vein, The player can be identified regardless of the player's intention. Also, if the camera that is the identification information acquisition means is concealed from the player, the player can be made unaware that the player has been identified on the game hall side, making the player uncomfortable. The player can be identified without making it happen.

  According to the system for a game hall described in claim 4, similarly to the system described in claim 1, the game frequency for each player is determined over a plurality of days, and the game frequency is determined according to the determined game frequency. Players were categorized, and the number and / or percentage of players who played a specific model for each of the categorized categories in the preset judgment period were calculated and output, so a new model was introduced. Later game data can be added to the number of regular customers (number of players who played a particular model) and percentage, and the future trend can be predicted. By investigating the customer base after introducing a new model, It is possible to grasp how the customer layer structure affects the subsequent operation, and it is possible to measure the effect of introducing the new model more accurately. In this case, the identification information is read from the identification information recording medium that records the identification information that can identify the player, and it is determined whether or not they are the same person based on the two or more read identification information. Therefore, it is not necessary to provide a camera as identification information acquisition means as described in claim 3 above, and it is not necessary to perform complicated image processing, and can be realized with an inexpensive configuration and simple processing. Can do.

1 is an overall configuration diagram showing an embodiment of the present invention. Flow chart showing face authentication processing Flow chart showing game history creation processing Figure showing the day dictionary Diagram showing the general dictionary The figure which shows the number-of-players data according to model Figure showing post-installation data (when the new model installed is model A) Figure showing post-installation data (when the new model installed is model B) A figure showing the number of visits by player (model A) during the introduction week The figure which shows the past game machine type (model A) Figure showing event implementation day (weekday) Figure showing non-event days (weekdays)

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 schematically shows the overall configuration of a game hall system. A lending device 2 (corresponding to the identification information reading means in the present invention) is installed corresponding to the gaming machine (pachinko machine) 1 in the game hall, and the management device 3 (identification in the present invention) in the management room in the game hall. Information storage means, game data calculation means, game data storage means, identical person determination means, game frequency determination means, game frequency classification means, player calculation means, output means, and identification means) are installed. The relay device 4 is connected to two gaming machines 1, two lending devices 2 and a management device 3 via a LAN 5. The management device 3 inputs game signals output from the gaming machine 1 side (such as the gaming machine 1 and the lending device 2) via the relay device 4 and manages gaming data for each gaming machine 1. The relay device 4 is also connected to a counter (not shown) and a prize exchange device (not shown) via the LAN 5.

  The gaming machine 1 to be managed performs a lottery lottery in response to the ball fired on the board surface 7 by the operation of the operation handle 6 constituting the launching device winning the start opening 8 (start winning prize), and the lottery result is displayed. The notification is made by the symbol variation performed in the unit 9, and the jackpot state is set according to the variation result. When a big hit occurs, the grand prize winning opening 10 is opened for 15 rounds (R). The balls paid out by winning are received by the upper tray 11, and the balls that overflow when the upper tray 11 is full are received by the lower tray 12. In addition, the upper limit winning number of 1R is 10, the upper limit opening time is 30 seconds, and 1R is ended when either the upper limit winning number or the upper limit opening time is satisfied.

The next game signal is output from the gaming machine 1 side.
“Out signal”: a signal that can specify the number of used balls (out) output from the out BOX for collecting used balls (used medium). Since one pulse is output for 10 recovered (used and driven) balls, “the number of out signals × 10” is specified as out. A signal output from the gaming machine 1 may be used.
“Safe signal”: a signal that can specify the number of payout balls (safe, the number of payout media) output from the gaming machine 1. Since one pulse is output for 10 payouts corresponding to a game (winning) in the gaming machine 1, “safe signal number × 10” is specified as safe. The supply signal output from the supply device may be a safe signal.

  “Start signal”: a signal that can specify the number of symbol fluctuations (number of acting items, start) output from the gaming machine 1. Since one pulse is output per symbol change (actual action, start process) in the display unit 9 that changes (actuates) due to winning at the start port 8, “start signal number × 1” is specified as a start. A start winning signal that is output in response to a winning at the start port 8 may be used as a start signal.

“Big jackpot signal”: a signal that can be output from the gaming machine 1 and that can identify the jackpot. Since it is a status signal that is output at a level during the jackpot, the jackpot signal input is identified as a jackpot.
“Special state signal”: a signal that can specify a special state output from the gaming machine 1. Since it is a state signal (probability change signal) that is level-output during a special state that is more likely to generate a big hit such as during probability change that increases the probability of jackpots than in the normal state, the special state signal is being input during the special state (sweet or sweet) Mode). The level is output not only during the probability change but also when the winning rate to the start port 8 is improved.

“Sales signal”: a signal that can specify sales information (number of sales balls, sales amount) output from the lending device 2. Since one pulse is output for every 25 balls that are valued at the player's valuable value, “sales signal number x 25” is specified as the number of sales balls, and “sales number x sales unit price” is the sales amount. Identify.
“Replay signal”: a signal that can specify the number of replay balls (replay media) output from the lending device 2. Since one pulse is output for every 25 replay balls that are paid for the player's stored balls, “the number of replay signals × 25” is specified as the number of replay balls.

The lending device 2 is configured as a so-called CR sand and has the following functions.
(1) A membership card 13 (corresponding to an identification information recording medium in the present invention) in which a unique player ID (identification information that can identify a player) that can identify a player is recorded is inserted into the card insertion slot 14. It is possible to accept. In addition to the membership card 13, a visitor card (IC holding card) can also be accepted at the card insertion slot 14.
(2) When the payout button 15 is pressed in a state where the stored ball can be specified by the insertion state of the card such as the membership card 13, the paid-in ball is paid out from the ball discharge nozzle 16 based on the stored ball and a sales signal is output. .
(3) When the return button 17 is pressed with the card received, the accepted card is ejected from the card insertion slot 14.
(4) The information display unit 18 is provided so as to be rotatable in the horizontal direction at the center of the board surface 7 which is a game area of the gaming machine 1, that is, at a height position similar to the height of the player's face position, The rental information and various game information related to the corresponding gaming machine 1 are displayed on the information display unit 18.
(5) A CCD camera 19 (corresponding to the identification information acquisition means in the present invention, hereinafter simply referred to as a camera) is built in above the ball discharge nozzle 16. The camera 19 creates face data by imaging the upper body centering on the face of the corresponding player from an oblique front. The horizontal field of view of the camera 19 is 120 degrees centering on the optical axis of the lens, but the actual field of view is restricted to 80 degrees with respect to the player direction by the surrounding wall surface. In addition, a smoke plate (not shown) is provided on the front surface of the camera 19 so that the camera 19 is hidden from the player.

  In the present embodiment, the lending device 2 performs a face authentication process in which the camera 19 authenticates the player's face and creates face data. Hereinafter, the face authentication process performed by the lending device 2 will be described with reference to FIG.

  When the lending device 2 starts the face authentication process, the lending device 2 determines whether or not the power of the camera 19 is on (A1). If the lending device 2 determines that the power of the camera 19 is on (A1: YES), the lending device 2 starts the operation of the timer (the timer time of 4 seconds in this embodiment) (A2) and detects the player's face. Whether or not (A3).

  Here, when the player sits on a chair arranged in front of the gaming machine 1, the upper body of the player is positioned in the imaging range of the camera 19, so that the camera 19 detects the player's face. When determining that the camera 19 has detected the player's face (A3: YES), the lending device 2 clears the non-detection counter to indicate that the player's face has been detected (not detected) (A4), It is determined whether or not “0” is set in the face authentication flag at that time, that is, whether or not the player's face has been detected so far (A5).

  When determining that the face authentication flag has been set to “0”, that is, the player's face has not been detected so far (A5: YES), the lending device 2 images the player's face (A6). ), It is determined whether or not the reliability of the captured image is equal to or higher than a specified value (A7). Here, the reliability is a numerical value indicating whether or not face data can be created based on an image of the player, and the lending device 2 has a reliability that is less than a specified value. If it is determined that the player's face data cannot be created (A7: NO), it is determined whether the timer has expired (A13).

  On the other hand, when the lending device 2 determines that the reliability is equal to or higher than the specified value, that is, the player's face data can be created (A7: YES), face authentication is performed to indicate that the player's face has been detected. The flag is set to “1” (A8), and the player's face data is created (A9). The player's face data refers to features of the player's upper body, in particular, facial features such as facial eyes, eyebrows, nose, mouth, etc., and the player's face data is based on the mutual position of these feature points. This information identifies the appearance.

  Next, the lending device 2 determines whether or not there is already recorded face data (A10). When the lending device 2 is the first player to play on the same day with the corresponding gaming machine 1 and determines that there is no face data already recorded (A10: YES), it records the face data of the player created this time. (A11) The face data of the player created this time is output to the management device 3 (A12). The lending device 2 creates the player's face data and outputs it to the management device 3 when the player is seated by performing the above operations.

  When the lending device 2 outputs the player's face data to the management device 3 and determines that the timer has expired (4 seconds have elapsed since the timer started operating) (A13: YES), the lending device 2 described above Returning to step A2, the next imaging is performed, but if it is determined that the face authentication flag is not set to “0” (“1” is set) (A5: NO), the process proceeds to step A13. The above processing is repeated every time the timer expires. That is, the lending device 2 is a management device as long as the player's face is detected by the player remaining seated (not leaving) or the player's posture does not change significantly. The face data once output to 3 is not output again to the management apparatus 3.

  On the other hand, if the lending device 2 determines that the player's face is no longer detected due to the player leaving the seat or the player's posture changing significantly (A3: NO), the face authentication flag is set to “1”. It is determined whether it is set (A16). In this case, if the lending device 2 determines that “1” is set in the face authentication flag (A16: YES), it increments the undetected counter (A17), and further determines that the undetected counter is not “2”. Then (A18: NO), the process proceeds to step A13, and the above processing is repeated every time the timer expires.

  If the lending device 2 determines that the undetected counter is “2” by repeating the above-described processing (A18: YES), it sets “0” in the face authentication flag (A19), Is output to the management apparatus 3 (A20), and the process proceeds to step A13. That is, the lending device 2 outputs a leaving signal to the management device 3 to indicate that the player has left the seat when the period during which the player's face is not detected continues for 8 seconds.

  Further, when the lending device 2 determines that the same player or the next player sits on the chair on the day and there is already recorded face data (A10: NO), the lending device 2 has already recorded the face data created this time. It is determined whether or not the error from the face data is within a specified value range (A14). The specified value here is a numerical value indicating whether or not it can be regarded as the same person based on the two face data. The lending device 2 uses the face data created this time and the face already recorded. If it is determined that the difference from the data is not within the specified value range (out of range), that is, it cannot be regarded as the same person (A14: NO), it is rewritten to the face data created this time (A15) The face data created this time (new face data that is not the same person) is output to the management apparatus 3 (A12). On the other hand, when the lending device 2 determines that the error between the face data created this time and the face data already recorded is within the specified value range, that is, it can be considered that they are the same person (A14: YES). The face data created this time is not rewritten, but the face data created this time (new face data of the same person) is output to the management apparatus 3 (A12).

  The management apparatus 3 includes a control unit having a CPU, ROM, RAM, and I / O, an input / output unit that inputs and outputs various signals, an output unit that includes a monitor, a printer, and the like. The management device 3 inputs the face data output by the lending device 2 by performing the face authentication process described above via the relay device 4, stores the input face data as jpeg data, and the same day dictionary shown in FIG. Create The management device 3 stores the face data of the player detected for the first time during the creation of the game history by assigning the player ID (tn (n is a positive number)) in that order in the current day dictionary. However, if another face data has already been input during the game history creation, it is stored in association with the same day player ID as that face data.

  Further, the management device 3 creates a general dictionary shown in FIG. 5 based on the data of the dictionary on the day by batch processing after closing the store. Specifically, the management device 3 uses the face data in the dictionary on that day (the face data stored at the beginning of the day when there are a plurality of face data for one player) that is not in the general dictionary. If there is data, an overall player ID (sn (n is a positive number)) is assigned and stored. In this case, when creating the general dictionary, the management device 3 reduces the processing burden and prevents erroneous determination that other people are determined to be the same person as in the case of creating a dictionary on the day. A plurality of face data are not stored in association with each other. In the general dictionary, the management device 3 classifies a player whose number of visits in the previous month is a predetermined number of days (for example, five days) or more as a regular customer, and classifies other players as light customers.

  In addition, the management device 3 inputs a game signal output from the gaming machine 1 side via the relay device 4, and the gaming history for each gaming machine 1 (out, safe, difference ball, number of symbol changes, number of special prizes, etc.) Game data). The management apparatus 3 receives data from the input of any one of the out signal, safe signal, and start signal output from the gaming machine 1 until 20 seconds elapse after no signal is input. Create as game data of times. Hereinafter, the game history creation process performed by the management apparatus 3 will be described with reference to FIG.

  When the management device 3 starts the game history creation process, the management device 3 determines whether or not a game signal is input from the gaming machine 1 side (B1), and determines whether or not face data is input from the lending device 2 (B2). ). When the management device 3 determines that a game signal has been input from the gaming machine 1 side (B1: YES), it updates the game history based on the input game signal (B3). When the management device 3 determines that face data has been input from the lending device 2 (B2: YES), the management device 3 determines whether or not a game history is being created (B4), and is creating a game history. If it is determined (B4: YES), the current day dictionary is updated (B5), the current day player ID of the player of the face data is associated with the game history, and the game history is updated (B3).

  Now, the management device 3 creates a game history for each gaming machine 1 as described above, and creates a general dictionary to store a game history and a general player ID for each gaming machine 1 in association with each other. The game frequency is determined for each player over a plurality of days, and the player is classified into a regular customer and a light customer according to the determined game frequency. As shown in FIG. The number of customers and the number of players are calculated and output as model-specific player number data. Moreover, as shown in FIGS. 7 and 8, the management apparatus 3 calculates and outputs the regular ratio and out of the newly introduced model as post-introduction data, and among the models introduced in the past, The model that approximates the regular rate is extracted as approximate data and output. Each item in the post-introduction data and approximate data is as follows.

“Regular rate”: The ratio of the number of regular customers who played with the model during the week to the number of players who played with the model during the week, “(number of regular customers who played with the model during the week) / ( The number of players who played with that model) is calculated by the following formula.
“Out”: Out per day.

  In this case, for the “model A” that is a newly introduced model, the management device 3 calculates the regular percentage of the first week as “13%” from the model-specific player number data shown in FIG. As a model similar to the calculated “13%”, as shown in FIG. 7, “model Z” in which the regular rate in the first week was “13%”, and regular rate in the first week is “10%”. “Model Y” is extracted as approximate data. Further, the management device 3 calculates the regular rate for the first week as “31%” for the “model B”, which is a newly introduced model, based on the model-specific player number data shown in FIG. As a model similar to the calculated “31%”, as shown in FIG. 8, “model X” in which the regular rate in the first week was “31%” and regular rate in the first week was “29%”. The existing “model W” is extracted as approximate data.

  For each model extracted as approximate data, the management device 3 determines whether or not the out per day per week is greater than or less than the contribution determination out, and the out per day is greater than or equal to the contribution determination out. For example, if the contribution per day is less than the contribution determination out, it is determined that the contribution is completed within the week. Here, “contribution determination out” is a value calculated by a third party that aggregates data based on game data sent from a plurality of game halls, and means an average out per game machine per day for the previous week. 7 and 8, if the contribution determination out is “20,000”, “model Z” indicates that the out became less than “20,000” in the fifth week from the introduction (5 week contribution end). “Model Y” indicates that out was less than “20,000” in the 6th week after introduction (6 weeks contribution ended), and “Model X” and “Model W” were out in the 14th week after introduction. It shows that it is over “10,000” (contributing for 14 weeks).

  Further, as shown in FIG. 9, the management device 3 totals the number of visits to each player who played the model for each model during the introduction week, and creates a distribution of visits to the store. Further, the management device 3 calculates and outputs the repeat rate for the introduction week for each model. In this case, the repeat rate is obtained by an arithmetic expression of “the total value of (the number of visits to each player—1) ÷ the total value of the visits to each player”. It can be understood that the higher the repeat rate, the longer the life of the model.

  In addition, as shown in FIG. 10, the management device 3 determines the model that the player who played the new model has played before and calculates and outputs the number and ratio of each model. When the cumulative out of the previous month for a specific model is a predetermined value (for example, 100,000) or more, it is determined that the model is preferred by the player, and is displayed in descending order of the number of players. FIG. 10 shows a case where the models that the player who played the “model A”, which is a new model, has played and liked before are “model C” and “model E”. In this case, for example, the ratio of the players who prefer the model C is obtained by an arithmetic expression of “the number of players who prefer the model C ÷ the number of players who prefer any model (excluding duplication)”. In particular, when a series gaming machine 1 is introduced, it is possible to grasp how many players have flowed to the new model.

  Further, as shown in FIGS. 11 and 12, the management device 3 calculates and outputs the customer layer configuration (whether it is a regular customer or a light customer) on the event implementation date and the non-event implementation date for each model. 11 and 12 show the number of regular customers and the number of players for each model when the event is conducted only on Tuesday of the previous week, and FIG. 11 shows the number of regular customers and the number of players for each model on Tuesday when the event is conducted. FIG. 12 shows the number of regular customers and the number of players for each weekday model excluding Tuesday, when the event was held. The regular customer rate is obtained by an arithmetic expression of “the number of regular customers who have played the model ÷ the number of players who have played the model”. If the number of players on the event implementation day is larger than the number of players on the event non-execution day, or if the regular customer rate on the event implementation day is lower than the regular customer rate on the non-event implementation day, the event effect will be effective on that model. It can be grasped that there was. That is, the model A has a larger number of players on the event implementation day and the regular customer rate is lower than the event non-execution day, so it can be understood that the event effect is large. Although the number of players on the event implementation day is large, the regular customer rate is not low, so it can be understood that the event effect was small.

  By the way, as described above, the player 19 is identified based on the image captured by the camera 19 by using the camera 19 provided in the lending device 2, but based on the identification information recording medium such as the membership card 13 or the like. Thus, the player may be identified. In other words, when the player plays the game machine 1, the member card 13 is inserted into the card insertion slot 14 of the lending device 2 so that the member card 13 is received by the lending device 2. The player ID that can identify the player is read from the membership card 13 and output to the management device 3, and the management device 3 identifies the player based on the player ID input from the lending device 2, and the gaming machine A game history and a player ID are stored in association with each other, a game frequency for each player is determined for each model over a plurality of days, and a player is classified for each model according to the determined game frequency. Then, the total number of player-specific players shown in FIG. 6 may be calculated and output. That is, the player can be identified based on the identification information recording medium such as the membership card 13 or the like. It is also possible to use both the process of identifying a player based on an image captured by the camera 19 and the process of identifying a player based on an identification information recording medium such as a membership card 13.

  As described above, according to the present embodiment, the management device 3 determines the game frequency for each player over a plurality of days, classifies the players according to the determined game frequency, and is set in advance. In the determination period, the number and percentage of players who played a specific model were calculated and output for each category, so the number of regular customers (specific models) was added to the game data after the introduction of the new model. The number of players who played the game) and the ratio can be predicted, and the future trend can be predicted. By investigating the customer base after the introduction of the new model, how the customer base composition affects the subsequent operation And the effect of introducing a new model can be measured more accurately.

  In addition to calculating and outputting the number and ratio of players who played a specific model, the game information of the model that approximates the calculated number and ratio was output, so the customer base structure approximated The model can be extracted and output, and the subsequent operating status can be easily predicted by referring to the operating status of the approximate model.

  In addition, since the camera 19 is provided in the lending device 2 and the camera 19 identifies the player based on the image of the player, for example, a player who does not have an identification information recording medium such as the member card 13 is also included. In addition to being able to be identified, the player can be identified regardless of the player's intention, unlike when the player is identified based on, for example, a fingerprint or a vein. In addition, since the camera 19 is hidden from the player, the player can be made unaware that the player has been identified on the game hall side, and the game can be made without making the player uncomfortable. Person can be identified. On the other hand, if the player ID is read from the identification information recording medium such as the membership card 13 to identify the player, it is not necessary to provide the camera 19, and it is not necessary to perform complicated image processing. It can be realized with an inexpensive configuration and simple processing.

The present invention is not limited to the above-described embodiment, and can be modified or expanded as follows.
The target gaming machine is not limited to a pachinko machine but may be a slot machine or the like.
The method for identifying the player is not limited to identifying the player based on an image of the player or the member card 13, but based on a member coin, a mobile phone having a Felica function, or the like as a recording medium other than the member card 13. You may identify and what kind of recording medium may be used. Further, the method of reading the ID that can identify the player from the recording medium is not limited to the contact type, but may be a non-contact type (Bluetooth (registered trademark) communication, infrared communication, etc.). Furthermore, biometric authentication such as fingerprints and irises may be employed as the ID.

  For each model extracted as approximate data, it is not limited to determining whether or not contribution is being made by determining whether or not the out per day per week is greater than or less than the contribution determination out, for example, It may be determined whether or not a contribution is being made using other indicators such as cumulative sales per week, cumulative gaming time, and cumulative gaming days.

A part of information processing performed by the management apparatus 3 may be performed by the lending apparatus 2 or the relay apparatus 4, or a part of information processing performed by the lending apparatus 2 may be performed by the management apparatus 3 or the relay apparatus 4. .
The gaming machine 1 includes not only a pachinko gaming machine that pays out the gaming medium itself to the player, but also includes a pachinko gaming machine that stores a gaming medium that can be used as data, such as credit. That is, it may be a pachinko gaming machine that stores and stores game media that can be used by the player as virtual game media. For example, a predetermined number of pachinko balls (encapsulated balls) are enclosed, and the operation handle 6 is operated. Thus, a so-called encapsulated game machine configured to play a game by circulatingly using the encapsulated ball by collecting the encapsulated ball fired on the board surface 7 again and guiding it to the launching device may be used.

  In the drawings, 1 is a gaming machine, 2 is a lending device (identification information reading means), 3 is a management device (identification information storage means, game data calculation means, game data storage means, same person determination means, game frequency determination means, game Frequency classification means, player calculation means, output means, identification means), 13 is a membership card (identification information recording medium), and 19 is a CCD camera (identification information acquisition means).

Claims (4)

A game hall system for managing game data of a plurality of gaming machines in a gaming hall where a plurality of gaming machines of a plurality of models are installed,
Identification information acquisition means for acquiring identification information of the player when the player plays a game on a gaming machine;
Identification information storage means for storing the identification information of the player acquired by the identification information acquisition means;
Game data calculating means for calculating game data for each gaming machine based on an input of a gaming signal output from the gaming machine;
Game data storage means for storing the game data calculated by the game data calculation means in association with the identification information of the player;
The same person determination means for determining whether two or more pieces of identification information acquired by the identification information acquisition means are identification information of the same person;
Based on the determination result of the same person determination means, a game frequency determination means for determining a game frequency for each player over a plurality of days,
Game frequency classifying means for classifying a player according to the game frequency determined by the game frequency determining means;
A player calculating means for calculating the number and / or percentage of players who have played a specific model for each of the categories classified by the gaming frequency classifying means in a preset determination period;
Output means for outputting the calculation result of the player calculation means ,
A system for a game hall characterized in that it is configured to determine a past model that a player who has played a newly introduced model has previously liked and to output the number of players of the past model. . A specifying unit for specifying a model in which a difference in calculation results of the player calculating unit is within a predetermined range;
2. The game field system according to claim 1, wherein the output unit outputs game information of a model whose difference from the calculation result is within a predetermined range in addition to the calculation result of the player calculation unit. .   The game system according to claim 1 or 2, wherein the identification information acquisition means is a camera, and the identification information is an image of a player captured by the camera. A game hall system for managing game data of a plurality of gaming machines in a gaming hall where a plurality of gaming machines of a plurality of models are installed,
An identification information recording medium for recording identification information capable of identifying a player;
Identification information reading means provided corresponding to each gaming machine for reading identification information recorded by the identification information recording medium;
Game data calculating means for calculating game data for each gaming machine based on an input of a gaming signal output from the gaming machine;
Game data storage means for storing the game data calculated by the game data calculation means in association with the identification information of the player;
The same person determination means for determining whether two or more pieces of identification information read by the identification information reading means are identification information of the same person;
Based on the determination result of the same person determination means, a game frequency determination means for determining a game frequency for each player over a plurality of days,
Game frequency classifying means for classifying a player according to the game frequency determined by the game frequency determining means;
A player calculating means for calculating the number and / or percentage of players who have played a specific model for each of the categories classified by the gaming frequency classifying means in a preset determination period;
Output means for outputting the calculation result of the player calculation means ,
A system for a game hall characterized in that it is configured to determine a past model that a player who has played a newly introduced model has previously liked and to output the number of players of the past model. .

Images