Coin measuring apparatus and coin management system

Abstract

To provide a coin measuring device capable of accurately measuring an inserted coin.SOLUTION: This coin measuring device provided in a device for providing a commodity or a service by inserting a coin has a weight measuring part for measuring the weight of the inserted coin, a coin analogizing part for analogizing the inserted coin based on a change in the weight measured by the weight measuring part, and a coin analogizing information transmitting part for transmitting coin analogizing information by the coin analogizing part.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a coin measuring device and a coin management system. [Background technology]

[0002] A game device installed in an arcade or the like allows a player to play a game by inserting a coin. The game device is provided with a coin selector that detects that a coin has been inserted and identifies the inserted coin. When the coin selector detects the coin, the game device provides the game to the player. The coins inserted into the game device are stored within the game device and are collected by the manager of the game center or the like when the game center closes for business. Summary of the Invention [Problem to be solved by the invention]

[0003] However, since inserted coins are stored in the game device until they are collected, there is a risk that they may be stolen from the game device by fraudulent means. Even if coins are stolen from a game device, it is difficult for the arcade manager to notice the theft of coins. The same is true for product service devices other than game devices that provide products or services in response to the insertion of coins, and it is also difficult for the manager to notice the theft of coins.

[0004] An object of the present invention is to provide a coin measuring device that can accurately measure inserted coins in real time, and a coin management system that uses the coin measuring device. [Means for solving the problem]

[0005] The coin measuring device according to the present invention is a coin measuring device to be installed in a device that provides goods or services in response to the insertion of a coin, and is characterized by having a weight measuring unit that measures the weight of the inserted coin, a coin analogy unit that infers the inserted coin based on the change in weight measured by the weight measuring unit, and a coin analogy information transmitting unit that transmits coin analogy information generated by the coin analogy unit.

[0006] The above-described coin measuring device may further include a coin validator information transmitting unit that transmits coin validator information based on a signal from a coin validator provided in the device that provides the product or service.

[0007] In the above-mentioned coin measuring device, the coin analogy unit may be configured to analogize the inserted coin based on the height of the peak of the differential coefficient of the weight measurement value measured by the weight measuring unit, which is generated by the impact of the inserted coin falling.

[0008] The coin management system according to the present invention is a coin measuring device provided in a device that provides goods or services in response to the insertion of a coin, the coin measuring device having a weight measuring unit that measures the weight of the inserted coin, a coin analogy unit that infers the inserted coin based on the change in weight measured by the weight measuring unit, and a coin analogy information transmitting unit that transmits coin analogy information by the coin analogy unit, a receiving unit that receives the coin analogy information transmitted from the coin analogy information transmitting unit of the coin measuring device, a counting unit that tallys the coin analogy information received by the receiving unit, and a display unit that displays the tallying results of the coin analogy information tallied by the tallying unit.

[0009] In the above-described coin management system, the coin measurement device may further have a coin validator information transmitting unit that transmits coin validator information based on a signal from a coin validator provided in the device that provides the product or service, the receiving unit may further receive the coin validator information transmitted from the coin validator information transmitting unit of the coin measurement device, the counting unit may further count the coin validator information received by the receiving unit, and the display unit may display both the counted results of the coin analogy information counted by the counting unit and the counted results of the coin validator information counted by the counting unit. [Effects of the Invention]

[0010] As described above, according to the present invention, there is provided a weight measurement unit that measures the weight of an inserted coin, a coin analogy unit that infers the inserted coin based on the change in weight measured by the weight measurement unit, and a coin analogy information transmission unit that transmits the coin analogy information generated by the coin analogy unit, so that the inserted coin can be accurately measured in real time. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing a coin management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing an IoT device (for single-player play) of a coin management system according to one embodiment of the present invention. [Figure 3] FIG. 3 is a diagram showing an IoT device (for two-player games) of a coin management system according to one embodiment of the present invention. [Figure 4] FIG. 4 is a diagram showing a state in which an IoT device of a coin management system according to an embodiment of the present invention is installed in a game device. [Figure 5] FIG. 5 is a flowchart (part 1) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 6] FIG. 6 is a data table (part 1) in a coin management system according to an embodiment of the present invention. [Figure 7] FIG. 7 is a flowchart (part 2) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 8] FIG. 8 is an explanatory diagram (part 1) of the operation of the coin management system according to one embodiment of the present invention. [Figure 9] FIG. 9 is an explanatory diagram (part 2) of the operation of the coin management system according to one embodiment of the present invention. [Figure 10] FIG. 10 is a data table (part 2) in a coin management system according to an embodiment of the present invention. [Figure 11] FIG. 11 is a flowchart (part 3) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 12] FIG. 12 is a data table (part 3) in the coin management system according to one embodiment of the present invention. [Figure 13] FIG. 13 is a flowchart (part 4) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 14] FIG. 14 is an explanatory diagram (part 3) of the operation of the coin management system according to one embodiment of the present invention. [Figure 15] FIG. 15 is a data table (part 4) in the coin management system according to one embodiment of the present invention. [Figure 16] FIG. 16 is an explanatory diagram (part 4) of the operation of the coin management system according to one embodiment of the present invention. [Figure 17] FIG. 17 is an explanatory diagram (part 5) of the operation of the coin management system according to one embodiment of the present invention. [Figure 18] FIG. 18 is a flowchart (part 5) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 19] FIG. 19 is a flowchart (part 6) showing the operation of the coin management system according to one embodiment of the present invention. [Figure 20] FIG. 20 is a data table (part 5) in the coin management system according to one embodiment of the present invention. [Figure 21] FIG. 21 is a diagram showing a sales management system screen in the coin management system according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] [One embodiment] A coin measuring device and a coin management system using the coin measuring device according to an embodiment of the present invention will be described with reference to FIGS.

[0013] (Coin management system) A coin management system 10 according to this embodiment is shown in FIG.

[0014] The coin management system 10 of this embodiment is a system that manages the state of coins in a device that provides goods or services in response to insertion of coins.

[0015] In this embodiment, the present invention is applied to an arcade where a wide variety of game devices 20 are installed as devices that provide goods or services in response to the insertion of coins. The coin management system 10 of this embodiment manages the status of coins in the wide variety of game devices 20.

[0016] An arcade is a facility that operates by installing a wide variety of gaming equipment, such as game devices 20, and allowing customers to play games. Customers need money to play games, and they play by inserting coins such as 100 yen coins and 500 yen coins into the game devices 20. Some game devices 20 use dedicated medals that can only be used at the arcade, instead of coins such as 100 yen coins and 500 yen coins. Customers purchase dedicated medals from medal vending machines installed in the arcade and use the dedicated medals to play games on the game devices.

[0017] The term "coin" as used in this specification includes not only currency such as 100 yen coins, 500 yen coins, dollar coins, and euro coins, but also special medals that can be used in specific facilities such as game centers.

[0018] In the coin management system 10 of this embodiment, the game devices 20 installed in the game center are each communicatively connected to the Internet 40 via an IoT device 30. A management server 50 of the coin management system 10 is communicatively connected to the Internet 40. Furthermore, a PC terminal 60 for controlling the coin management system 10 is communicatively connected to the Internet 40. In this embodiment, an AWS cloud server in AWS (Amazon Web Services) is used as the management server 50.

[0019] (Game device) The gaming device 20 managed by the coin management system 10 of this embodiment will be described.

[0020] The gaming device 20 managed by the coin management system 10 of this embodiment is a device that provides goods or services in response to the insertion of coins, and depending on the type of coin used and the number of players, there are, for example, the following types: (a) A gaming device in which a single player plays using dedicated medals instead of coins (b) A game device that uses special medals as coins and can be played by two people (c) A gaming device that uses only one type of coin, for example, 100 yen coins, and is played by one person. (d) A gaming device that uses only one type of coin, for example, 100 yen coins, and can be played by two people. (e) A gaming device that can accept multiple types of coins, for example, 100 yen coins and 500 yen coins, and is used by one person. (f) A gaming device that can use multiple types of coins, for example, 100 yen coins and 500 yen coins, and can be played by two people. In addition to the above, there may be gaming devices that can accommodate more than two people, such as gaming devices that can accommodate four people, five people, and 32 people.

[0021] Also, a gaming device that can use more than two types of coins or medals is conceivable.

[0022] Furthermore, in addition to game devices, devices that provide goods or services in response to the insertion of coins managed by the coin management system 10 of this embodiment can include various other devices, such as medal lending machines that sell special medals, vending machines that sell products such as drinks with coins, so-called gachapon machines that allow you to purchase toys in capsules by inserting a coin and turning a rotary lever, and coin exchange machines that exchange 500 yen coins for 100 yen coins.

[0023] (IoT device) The IoT device 30 in this embodiment will be described with reference to FIGS.

[0024] The coin management system 10 of this embodiment is a system that manages the status of coins in a device that provides goods or services in response to insertion of coins. The IoT device 30 is for detecting the status of coins in the game device 20.

[0025] (IoT device configuration (for single-player games)) FIG. 2 shows an embodiment in which an IoT device 30 is provided in a game device 20 that can be played by one person and that uses dedicated medals or only one type of coin, for example, 100 yen coins, as coins.

[0026] The game device 20 is provided with a coin selector 22 that acts as a coin discriminator to select inserted coins. The coin selector 22 may be a mechanical coin selector that discriminates coins based on size, etc., or an electronic coin selector that discriminates coins based on a magnetic field.

[0027] The game device 20 is provided with a coin box 24 that stores coins selected by the coin selector 22. The coin box 24 is removed from the game device 20, and the IoT device 30 of this embodiment is stored in the place where the coin box 24 was installed.

[0028] As shown in FIG. 2, the IoT device 30 of this embodiment is provided with an outer coin box 32 that is approximately the same size as the coin box 24 of the game device 20, and an inner coin box 33 that is stored in the outer coin box 32.

[0029] A weight sensor 34 (weight measuring unit) for supporting the inner coin box 33 and measuring the weight of the inner coin box 33 is provided at the bottom inside the outer coin box 32.

[0030] A signal processing circuit board 36 for processing signals from the coin selector 22 and the weight sensor 34 is provided at the bottom of the outer coin box 32 .

[0031] The signal processing circuit board 36 is connected to the coin selector 22, and counts the number of coins selected by the coin selector 22 based on a signal from the coin selector 22.

[0032] A weight sensor is connected to the signal processing circuit board , and the type and number of coins stored in the inner coin box 24 are inferred from the change in weight of the inner coin box 24 measured by the weight sensor .

[0033] A signal transmitting unit 38 that transmits the processed signal via Wi-Fi is connected to the signal processing circuit board 36.

[0034] The coins selected by the coin selector 22 of the game device 20 are stored in the inner coin box 33 of the IoT device 30.

[0035] The weight sensor 34 supports the inner coin box 33 at multiple points and measures the weight of the inner coin box 33 when coins are stored therein. By measuring the weight of the inner coin box 33, the number of coins stored in the inner coin box 33 can be detected.

[0036] The signal processing circuit board 36 processes the signal from the coin selector 22 to detect the number of coins selected by the coin selector 22, and processes the signal from the weight sensor 34 to detect the number of coins stored in the inner coin box 33. Details of this signal processing will be described later.

[0037] The signal transmitting unit 38 transmits the signal processed by the signal processing circuit board 36 to the Internet 40 via WiFi.

[0038] In addition, even in the case of a game device 20 that uses multiple types of coins, such as 100 yen coins and 500 yen coins, and is played by one person, the basic configuration of the IoT device 30 is the same; the coin selector 22 distinguishes between the multiple types of coins, and the signal from the coin selector 22 differs accordingly.

[0039] (IoT device configuration (for two-player games)) FIG. 3 shows an embodiment in which an IoT device 30 is provided in a game device 20 in which two players can play using dedicated medals or only one type of coin, for example, 100 yen coins, as coins.

[0040] The game device 20 is provided with a coin selector 22A for one player and a coin selector 22B for the other player, which select coins inserted. The coin selectors 22A and 22B include mechanical coin selectors that distinguish coins based on size, etc., and electronic coin selectors that distinguish coins based on magnetic fields.

[0041] The game device 20 is provided with a coin box 24 for storing coins selected by the coin selectors 22A and 22B. The coin box 24 is removed from the game device 20, and the IoT device 30 of this embodiment is stored in the place where the coin box 24 was installed.

[0042] As shown in FIG. 2, the IoT device 30 of this embodiment is provided with an outer coin box 32 that is approximately the same size as the coin box 24 of the game device 20, and an inner coin box 33 that is stored in the outer coin box 32.

[0043] A weight sensor 34 for supporting the inner coin box 33 and measuring the weight of the inner coin box 33 is provided at the bottom inside the outer coin box 32 .

[0044] At the bottom of the outer coin box 32, a signal processing circuit board 36 for processing signals from the coin selectors 22A and 22B and signals from the weight sensor 34 is provided.

[0045] The coin selectors 22A and 22B are connected to the signal processing circuit board 36, and the number of coins selected by the coin selector 22A is counted based on a signal from the coin selector 22A, and the number of coins selected by the coin selector 22B is counted based on a signal from the coin selector 22B.

[0046] A weight sensor 34 is connected to the signal processing circuit board 36, and functions as a coin analogy section by analogizing the type and number of coins stored in the inner coin box 24 from changes in weight measured by the weight sensor 34.

[0047] A signal transmitting unit 38 that transmits the processed signal via Wi-Fi is connected to the signal processing circuit board 36.

[0048] The coins selected by the coin selectors 22A and 22B of the game device 20 are stored together in the inner coin box 33 of the IoT device 30 without distinction.

[0049] The weight sensor 34 supports the inner coin box 33 at multiple points and measures the weight of the inner coin box 33 when coins are stored therein. By measuring the weight of the inner coin box 33, the total number of coins selected by the coin selectors 22A and 22B to be stored in the inner coin box 33 can be detected.

[0050] The signal processing circuit board 36 processes the signals from the coin selectors 22A, 22B to detect the number of coins selected by the coin selectors 22A, 22B, and processes the signal from the weight sensor 34 to detect the total number of coins stored in the inner coin box 33. Details of this signal processing will be described later.

[0051] The signal transmitting unit 38 transmits the signal processed by the signal processing circuit board 36 to the Internet 40 via WiFi.

[0052] In addition, even in the case of a game device 20 that uses multiple types of coins, for example, 100 yen coins and 500 yen coins, and is played by one person, the basic configuration of the IoT device 30 is the same except that the coin selectors 22A and 22B distinguish between the multiple types of coins, and the signals from the coin selectors 22A and 22B differ accordingly.

[0053] (IoT device installation status) A specific example of a state in which the IoT device 30 of this embodiment is installed in the game device 20 will be described with reference to Fig. 4. The game device 20 of this example is a prize acquisition game device for two players.

[0054] Figure 4(a) shows the overall appearance of the game device 20, Figure 4(b) shows an enlarged view of the installation location of the IoT device 30, Figures 4(c1) to (c4) show the main parts of the IoT device 30 removed from the game device 20, and Figure 4(d) shows the signal transmission unit 38 of the IoT device 30.

[0055] As shown in FIG. 4(a), between the 1P player operation panel 26A and the 2P player operation panel 26B of the game device 20, there is provided a coin box 24 for storing coins of both players.

[0056] As shown in Fig. 4(b), the installation location of the IoT device 30 is the installation location of the coin box 24 below the coin selectors 22A and 22B of the game device 20. The IoT device 30 is installed in this installation location with the inner coin box 33 housed inside the outer coin box 32.

[0057] 4(c1) shows the appearance of the IoT device 30 when it is removed from the game device 20. An inner coin box 33 is stored inside an outer coin box 32.

[0058] FIG. 4(c2) shows the state in which the outer coin box 32 and the inner coin box 33 of the IoT device 30 are separated and placed side by side.

[0059] FIG. 4(c3) shows a state in which a signal processing circuit board 36 is provided on the rear surface of the bottom of the outer coin box 32.

[0060] FIG. 4(c4) shows the weight sensor 34 provided at the bottom of the outer coin box 32.

[0061] FIG. 4( d ) shows the signal transmission unit 38 of the IoT device 30 .

[0062] (Coin management system operation) The operation of the coin management system 10 according to this embodiment will be described with reference to FIGS.

[0063] (Overview of coin management system operation) A wide variety of game machines 20 are installed in game centers, which provide goods or services in response to the insertion of coins. The coin management system 10 of this embodiment manages the status of coins in the game machines 20 installed in the game centers.

[0064] An outline of the operation of the coin management system 10 according to the operating status of the game center will be described.

[0065] (Overview of normal game center operations) When the game center is operating normally, the coin management system 10 performs the following process in response to the insertion of a coin into the game device 20.

[0066] The coin management system 10 constantly monitors signals from the coin selectors 22, 22A, and 22B using the IoT device 30. When a coin is inserted into the game device 20, the coin is selected by the coin selectors 22, 22A, and 22B. At this time, the IoT device 30 of the coin management system 10 receives signals from the coin selectors 22, 22A, and 22B, and counts the number of coins selected by the coin selectors 22, 22A, and 22B based on the signals.

[0067] The coin management system 10 constantly monitors the signal from the weight sensor 34 using the IoT device 30. When a coin is inserted into the game device 20, the total weight of the inner coin box 33 increases due to the coins that fall and accumulate therein. At this time, the weight sensor 34 of the IoT device 30 of the coin management system 10 detects the total weight of the inner coin box 33, and the number and type of coins that have fallen and accumulated therein are inferred from the fluctuation in the total weight.

[0068] Furthermore, during daytime operation when the game center is open, at predetermined time intervals, for example, every minute, the signal transmitting unit 38 of the IoT device 30 transmits to the management server 50 (a) coin count data from the coin selectors 22, 22A, 22B, (b) analogical data of the number and type of coins based on fluctuations in the total weight of the inner coin boxes 33, and (c) waveform data of the total weight of the inner coin boxes 33 when the number is estimated, for all game devices 20 obtained by the above-mentioned processing. The management server 50 accumulates and stores the coin count data, coin analogical data, and waveform data of the total weight of the inner coin boxes transmitted from the IoT devices 30 of all game devices 20 during daytime operation when the game center is open.

[0069] (Overview of Game Center tallying process) During normal business hours of the game center or at a predetermined timing after normal business hours, the coin management system 10 performs the following tallying process in response to instructions from the game center operator.

[0070] The timing for performing the tallying process varies depending on the type and size of the game center. For example, the tallying process is performed once a day after the game center has closed. For large game centers, the tallying process is performed multiple times a day. For small game centers, the tallying process is performed once a week.

[0071] The timing of the counting process may also be varied depending on the type of game device installed in the game center. For example, for popular game devices that have many users and long operating times, the counting process may be performed multiple times a day. For devices with few users and short operating times, such as coin changers, the counting process may be performed once a week.

[0072] When it is time to start the tallying process, the operator clicks the tally button on the sales management system screen of the coin management system 10.

[0073] When the tally button is clicked, the coin management system 10 tally the coin count data and coin analogy data of each game device 20 stored in the management server 50, and displays the tally results on the sales management system screen.

[0074] (Details of how the coin management system works) The details of the operation of the coin management system 10 according to the operating state of the game center will be explained with reference to FIGS.

[0075] (Operation during normal business hours at the game center: 100 yen coin-only game device) The processing of the coin management system 10 for the 100-yen coin dedicated game machine 20 will be described with reference to FIGS.

[0076] Figure 5 is a flowchart showing the processing for signals from coin selectors 22, 22A, and 22B of the game device 20, Figure 6 is a data table of count data for coin selectors 22, 22A, and 22B of the game device 20, Figure 7 is a flowchart showing the processing for signals from weight sensor 34 of IoT device 30, Figure 8 is an explanatory diagram of the processing for acquiring a log of weight variation values ​​from the signal of weight sensor 34 of IoT device 30, Figure 9 is an explanatory diagram of the processing for inferring the type of coins that have fallen and been stored based on the log of weight variation values, and Figure 10 is a data table of analogical data for the number of coins by IoT device 30.

[0077] (Coin selector count data) As shown in the flowchart of FIG. 5, the IoT device 30 monitors whether or not a coin has been inserted based on a signal from the coin selectors 22, 22A, 22B of the game device 20 (step S10).

[0078] If it is determined in step S10 that a coin has been inserted, it is determined whether the type of the inserted coin is a 100 yen coin (step S11). If it is determined in step S11 that the inserted coin is a coin other than a 100 yen coin, the inserted coin is returned to the payout slot (step S14), and this process ends.

[0079] If it is determined in step S11 that the inserted coin is a 100 yen coin, the IoT device 30 generates count data for the coin selectors 22, 22A, and 22B (step S12).The inserted coin is then stored in the inner coin box 33 of the IoT device 30 (step S13), and this process ends.

[0080] A specific example of the count data of the coin selectors 22, 22A, and 22B is shown in FIG.

[0081] FIG. 6(a) is a data table of count data of the coin selector 22 of the single-player game device 20. As shown in FIG.

[0082] FIG. 6(b1) is a data table of count data of the coin selector 22A of the two-player game device 20.

[0083] FIG. 6(b2) is a data table of count data of the coin selector 22B of the two-player game device 20.

[0084] The data items in these data tables are "Message ID," "Machine ID," "IoT device ID," "Acquisition time," "Message type," "Coin selector ID," and "100 yen count value," as shown in Figure 6(a)(b1)(b2).

[0085] The data item "Message ID" is a unique ID of the message.

[0086] The data item “machine ID” is a unique ID that identifies the game device 20.

[0087] The data item “IoT device ID” is a unique ID that identifies the IoT device 30.

[0088] The data item “acquisition time” is the time when the IoT device 30 acquires the signal from the coin selector 22.

[0089] The data item "message type" indicates the type of message.

[0090] The data item “coin selector ID” is a unique ID that identifies the coin selector 22 of the game device 20.

[0091] The data item “100 yen count value” is the 100 yen coin count value by the coin selector 22.

[0092] (Coin number analogy processing) As shown in the flowchart of FIG. 7, the IoT device 30 uses the weight sensor 34 to monitor whether the weight of the inner coin box 33 has changed (step S20).

[0093] When it is determined in step S20 that the fluctuation value of the weight of the inner coin box 33 exceeds a predetermined threshold, the IoT device 30 acquires a log of the weight fluctuation value (step S21). The predetermined threshold is set to a value smaller than the weight of a 100-yen coin and larger than the fluctuation value due to vibration of the inner coin box 33, so as to reliably grasp the fluctuation of the total weight of the inner coin box 33 when a 100-yen coin falls and is stored.

[0094] (Log acquisition process for weight fluctuation values) A specific example of the process of acquiring a log of weight fluctuation values ​​in steps S20 to S21 will be described using Figure 8. The graph in Figure 8 shows changes in the measurement values ​​of the weight sensor 34 that measures the weight of the inner coin box 33. The horizontal axis of the graph represents time, and the vertical axis represents the measurement values ​​of the weight sensor 34.

[0095] In step S20, the measurement value of the weight sensor 34 is obtained at predetermined time intervals, for example, every second, and compared with the previous measurement value, for example, the measurement value from one second ago, to determine whether the difference between the current measurement value and the previous measurement value exceeds a predetermined threshold value, for example, 100.

[0096] In the graph of FIG. 8, the measured value does not change by more than the threshold value "100" until 5 seconds, so the weight change value log is not acquired.

[0097] At 6 seconds, the difference of 200 between the measurement value at that time (208) and the measurement value just before (8) at 5 seconds is greater than the predetermined threshold value of 100, so logging of weight fluctuation values ​​begins. After that, logging of weight fluctuation values ​​continues until 13 seconds, because the difference from the immediately preceding measurement value is greater than the threshold value of 100.

[0098] At 14 seconds, the difference of 70 between the measurement value at that time, "2340," and the measurement value just before, "2270," at 13 seconds, becomes less than the threshold value of 100, so the acquisition of the weight variation log ends at 14 seconds.

[0099] As a result, a log of the weight fluctuation value from time 5 seconds to time 14 seconds, that is, data on the change over time of the measurement value of the weight sensor 34, is obtained.

[0100] After that, from time 14 seconds to time 22 seconds, the measured value does not change by more than the threshold value "100", so no log of the weight change value is acquired.

[0101] At 23 seconds, the difference of 200 between the measurement value at that time (2530) and the previous measurement value at 22 seconds (2330) is greater than the predetermined threshold value of 100, so logging of weight fluctuation values ​​begins. After that, logging of weight fluctuation values ​​continues until 38 seconds, because the difference from the previous measurement value is greater than the threshold value of 100.

[0102] At 39 seconds, the difference of 20 between the measurement value at that time, "6874," and the measurement value at 38 seconds immediately before, "6854," becomes less than the threshold value of "100," so the log acquisition of weight fluctuation values ​​ends at 38 seconds.

[0103] As a result, a log of the weight fluctuation value from time 22 seconds to time 38 seconds, that is, data on the change over time of the measurement value of the weight sensor 34, is obtained.

[0104] (Falling Coin Analogy (Part 1)) Next, in step S22, it is determined whether the fluctuation value of the weight of the inner coin box 33 is equivalent to a 100-yen coin, that is, whether the weight fluctuation is due to a dropped 100-yen coin (step S22). If it is determined in step S22 that the fluctuation value of the weight of the inner coin box 33 is not equivalent to a 100-yen coin, a predetermined alarm process is performed (step S25).

[0105] When step S22 determines that the fluctuation in weight of the inner coin box 33 is equivalent to a 100 yen coin, i.e., that the weight fluctuation is due to a 100 yen coin falling, the IoT device 30 generates number analogy result data (step S23) and generates waveform data at the time of number analogy (step S24).

[0106] A specific example of the falling coin analogy process in step S22 will be described using Figure 9. The graph in Figure 9 shows the log of the weight variation values ​​acquired in step S21. The horizontal axis of the graph represents time, and the vertical axis represents the measurement value of the weight sensor 34 and the differential coefficient of the measurement value.

[0107] When a coin falls into the inner coin box 33, the impact of the fall causes a sudden change in the measurement value of the weight sensor 34 that measures the weight of the inner coin box 33. That is, the differential coefficient of the measurement value, which was zero before the coin fell, suddenly increases and then becomes zero, and a sharp peak appears in the graph of the differential coefficient of the measurement value. In this embodiment, the fall of the coin is inferred from the height of the peak.

[0108] The degree of change in the differential coefficient of the measurement value of the weight sensor 34, i.e., the peak height of the change in the differential coefficient, is determined by the weight of the coin and the falling speed of the coin. In this embodiment, a game device 20 in which a coin measuring device is installed was used to drop 100-yen coins and 500-yen coins into the inner coin box 33 in advance, and the degree of change in the differential coefficient of the measurement value of the weight sensor 34, i.e., the peak height P of the change in the differential coefficient, was measured. As a result, it was experimentally determined that the average value C100 of the peak height P for 100-yen coins was "2300," and the average value C500 of the peak height P for 500-yen coins was "3200."

[0109] Therefore, if the peak height P of the change in the differential coefficient of the measurement value of the weight sensor 34 is around "2300", it is inferred that a 100 yen coin has fallen, and if the peak height P is around "3200", it is inferred that a 500 yen coin has fallen. Otherwise, it is inferred that there is another cause, such as vibration of the inner coin box 33.

[0110] In the graph in Figure 9, five peaks were detected when the log of acquired weight fluctuation values ​​was scanned. The peak height P1 of the first peak is around "2300" of the average value C100 of a 100-yen coin, so it can be inferred that a 100-yen coin has fallen. Similarly, the peak height P2 of the second peak, the peak height P3 of the third peak, the peak height P4 of the fourth peak, and the peak height P5 of the fifth peak are all around "2300" of the average value C100 of a 100-yen coin, so it can be inferred that a 100-yen coin has fallen.

[0111] Therefore, based on the log of weight fluctuations during the data acquisition period, it can be inferred that five 100-yen coins were inserted.

[0112] (Example of analogical data) A specific example of analogy data obtained by the IoT device 30 is shown in FIG.

[0113] FIG. 10(a) is a data table of the number analogy results and waveform data, which are analogy data for the single-player game device 20, and corresponds to FIG. 6(a) of the data table of count data for the coin selector 22 of the single-player game device 20.

[0114] Figure 10(b1) is a data table of the number analogy results and waveform data, which are analogy data for the two-player game device 20, and corresponds to Figure 6(b1) of the data table of count data for the coin selector 22A of the two-player game device 20.

[0115] FIG. 10(b2) is a data table of the number analogy results and waveform data, which are analogy data for the two-player game device 20, and corresponds to FIG. 6(b2) of the data table of count data for the coin selector 22B of the two-player game device 20.

[0116] As shown in Figure 10(a)(b1)(b2), the data items in these data tables are "Message ID," "Machine ID," "IoT device ID," "Acquisition time," "Message type," "Coin box ID," "Coin type (100 yen)," and "Inference result" in the data table for the number of coins inferred, and "Message ID," "Machine ID," "IoT device ID," "Acquisition time," and "Waveform data" in the data table for the waveform data.

[0117] The data item “coin box ID” ​​is a unique ID that identifies the coin box of the game device 20.

[0118] The data item "coin type (100 yen)" is the coin type (100 yen) of the analogy result.

[0119] The data item "analogy result" indicates whether the analogy result was successful or unsuccessful.

[0120] The data item "waveform data" is waveform data of the weight fluctuation value of the inner coin box 33 when the number of coins is estimated.

[0121] (Operation during game center business hours: Game device for 100 yen coins and 500 yen coins) The processing of the coin management system 10 for the game devices 20 for 100 yen coins and 500 yen coins will be described with reference to FIGS.

[0122] FIG. 11 is a flowchart showing the processing of signals from coin selectors 22, 22A, and 22B of the game device 20, FIG. 12 is a data table of count data of coin selectors 22, 22A, and 22B of the game device 20, FIG. 13 is a flowchart showing the processing of signals from weight sensor 34 of IoT device 30, FIG. 14 is an explanatory diagram of the processing of inferring the type of coin that has fallen and been stored based on a log of weight variation values, and FIG. 15 is a data table of analogical data of the number of coins by IoT device 30.

[0123] (Coin selector count data) As shown in the flowchart of FIG. 11, the IoT device 30 monitors whether or not a coin has been inserted based on a signal from the coin selectors 22, 22A, 22B of the game device 20 (step S30).

[0124] When it is determined in step S30 that a coin has been inserted, it is determined whether the inserted coin is a 100 yen coin or a 500 yen coin (step S31). When it is determined in step S31 that the inserted coin is other than a 100 yen coin or a 500 yen coin, the inserted coin is returned to the payout slot (step S35), and this process ends.

[0125] If it is determined in step S31 that the inserted coin is a 100 yen coin, the IoT device 30 generates count data of the 100 yen coin in the coin selectors 22, 22A, and 22B (step S32). If it is determined in step S31 that the inserted coin is a 500 yen coin, the IoT device 30 generates count data of the 500 yen coin in the coin selectors 22, 22A, and 22B (step S33). Then, the inserted coin is stored in the inner coin box 33 of the IoT device 30 (step S34), and this process ends.

[0126] A specific example of the count data of the coin selectors 22, 22A, and 22B is shown in FIG.

[0127] FIG. 12(a) is a data table of count data of the coin selector 22 of the single-player game device 20. As shown in FIG.

[0128] FIG. 12(b1) is a data table of count data of the coin selector 22A of the two-player game device 20.

[0129] FIG. 12(b2) is a data table of count data of the coin selector 22B of the two-player game device 20.

[0130] The data items in these data tables are "Message ID," "Machine ID," "IoT device ID," "Acquisition time," "Message type," "Coin selector ID," "100 yen count value," and "500 yen count value," as shown in Figure 6(a)(b1)(b2).

[0131] The data item “100 yen count value” is the 100 yen coin count value by the coin selector 22.

[0132] The data item “500 yen count value” is the 500 yen coin count value by the coin selector 22.

[0133] (Coin number analogy processing) As shown in the flowchart of FIG. 13, the IoT device 30 uses the weight sensor 34 to monitor whether or not the weight of the inner coin box 33 has changed (step S40).

[0134] If it is determined in step S40 that the fluctuation value of the weight of the inner coin box 33 exceeds a predetermined threshold, the IoT device 30 acquires a log of the weight fluctuation value (step S41). The predetermined threshold is determined based on the weight of a 100-yen coin, which is lighter than a 500-yen coin. The predetermined threshold is set to a value smaller than the weight of a 100-yen coin and larger than the fluctuation value due to vibrations of the inner coin box 33, so that fluctuations in the total weight of the inner coin box 33 when a 100-yen coin falls and is stored can be reliably detected.

[0135] (Log acquisition process for weight fluctuation values) The process of acquiring the log of the weight variation value in steps S40 to S41 is the same as that in the case of the 100-yen coin-only game machine shown in FIG.

[0136] As shown in Figure 8, when the difference between a measurement value at a certain time and the immediately preceding measurement value reaches or exceeds a predetermined threshold value of "100," the system starts acquiring a log of weight variation values. After that, the system continues acquiring a log of weight variation values ​​as long as the difference from the immediately preceding measurement value remains at or above the threshold value of "100." Then, when the difference between a measurement value at a certain time and the immediately preceding measurement value falls below the threshold value of "100," the system stops acquiring a log of weight variation values.

[0137] As a result, a log of the weight fluctuation value from a certain time to another time, that is, data on the change over time of the measurement value of the weight sensor 34, is obtained.

[0138] (Falling Coin Analogy (Part 2)) Next, in step S42, it is determined whether the fluctuation value of the weight of the inner coin box 33 is equivalent to a 100 yen coin or a 500 yen coin (step S42). If it is determined in step S42 that the fluctuation value of the weight of the inner coin box 33 is neither equivalent to a 100 yen coin nor a 500 yen coin, a predetermined alarm process is performed (step S46).

[0139] When step S42 determines that the fluctuation value of the weight of the inner coin box 33 is equivalent to a 100 yen coin, the IoT device 30 generates number analogy result data for 100 yen coins (step S43) and generates waveform data at the time of number analogy (step S45).

[0140] When step S42 determines that the fluctuation value of the weight of the inner coin box 33 is equivalent to a 500 yen coin, the IoT device 30 generates number analogy result data for 500 yen coins (step S44) and generates waveform data at the time of number analogy (step S45).

[0141] A specific example of the falling coin analogy process in step S42 will be described using Figure 14. The graph in Figure 14 shows the log of the weight variation values ​​acquired in step S41. The horizontal axis of the graph represents time, and the vertical axis represents the measurement value of the weight sensor 34 and the differential coefficient of the measurement value.

[0142] When a coin falls into the inner coin box 33, the impact of the fall causes a sudden change in the measurement value of the weight sensor 34 that measures the weight of the inner coin box 33. That is, the differential coefficient of the measurement value, which was zero before the coin fell, suddenly increases and then becomes zero, and a sharp peak appears in the graph of the differential coefficient of the measurement value. In this embodiment, the height of the peak is used to infer the falling of the coin and the type of the coin that fell.

[0143] The degree of change in the differential coefficient of the measurement value of the weight sensor 34, that is, the height of the peak of the change in the differential coefficient, is determined by the weight of the coin and the falling speed of the coin.

[0144] As described above, in this embodiment, a 100-yen coin and a 500-yen coin were dropped into the inner coin box 33 in advance using the game machine 20 on which the coin measuring device was installed, and the degree of change in the differential coefficient of the measurement value of the weight sensor 34, i.e., the peak height P of the change in the differential coefficient, was measured. As a result, it was experimentally determined that the average value C100 of the peak height P for 100-yen coins was "2300", and the average value C500 of the peak height P for 500-yen coins was "3200".

[0145] Therefore, if the peak height P of the change in the differential coefficient of the measurement value of the weight sensor 34 is around "2300", it is inferred that a 100 yen coin has fallen, and if the peak height P is around "3200", it is inferred that a 500 yen coin has fallen. Otherwise, it is inferred that there is another cause, such as vibration of the inner coin box 33.

[0146] In the graph of FIG. 14, five peaks were detected when the log of the acquired weight fluctuation values ​​was scanned.

[0147] The first peak has a peak height P1 of around 2300, which is the average value C100 of a 100-yen coin, so it is inferred that a 100-yen coin has fallen. The second peak has a peak height P2 of around 3200, which is the average value C500 of a 500-yen coin, so it is inferred that a 500-yen coin has fallen. The third peak has a peak height P3 of around 2300, which is the average value C100 of a 100-yen coin, so it is inferred that a 100-yen coin has fallen. The fourth peak has a peak height P4 of around 2300, which is the average value C100 of a 100-yen coin, so it is inferred that a 100-yen coin has fallen. The fifth peak has a peak height P5 of around 3200, which is the average value C500 of a 500-yen coin, so it is inferred that a 500-yen coin has fallen.

[0148] Therefore, based on the log of weight fluctuations during the data acquisition period, it can be inferred that three 100 yen coins and two 500 yen coins were inserted.

[0149] (Example of analogical data) A specific example of analogy data obtained by the IoT device 30 is shown in FIG.

[0150] FIG. 15(a) is a data table of the number analogy results and waveform data, which are analogy data for the single-player game device 20, and corresponds to FIG. 10(a) of the data table of count data of the coin selector 22 of the single-player game device 20.

[0151] Figure 15(b1) is a data table of the number analogy results and waveform data, which are analogy data for the two-player game device 20, and corresponds to Figure 10(b1) of the data table of count data for the coin selector 22A of the two-player game device 20.

[0152] Figure 15(b2) is a data table of the number analogy results and waveform data, which are analogy data for the two-player game device 20, and corresponds to Figure 10(b2) of the data table of count data for the coin selector 22B of the two-player game device 20.

[0153] As shown in Figure 15(a)(b1)(b2), the data items in these data tables are "Message ID," "Machine ID," "IoT device ID," "Acquisition time," "Message type," "Coin selector ID," "Coin type (100 yen)," "Coin type (500 yen)," and "Inference result" in the data table for the number of coins inferred, and "Message ID," "Machine ID," "IoT device ID," "Acquisition time," and "Waveform data" in the data table for the waveform data.

[0154] The data item "coin type (100 yen)" is the coin type (100 yen) of the analogy result.

[0155] The data item "coin type (500 yen)" is the coin type (500 yen) of the analogy result.

[0156] (Falling Coin Analogy (Part 3)) The above-mentioned falling coin analogy process (part 1) and falling coin analogy process (part 2) are for a single-player game device as shown in Fig. 2. That is, even if the coins may be of different types, the game device is one in which coins fall intermittently one by one and are stored in the inner coin box 33 of the IoT device 30.

[0157] However, in a two-player game device such as that shown in Fig. 3, coins may fall at the same time. For example, a coin inserted by one player and a coin inserted by the other player may fall at the same time and be stored in the inner coin box 33 of the IoT device 30.

[0158] Furthermore, in the case of a gaming device for three or more players, there is a possibility that coins inserted by three or more players will fall and be stored in the inner coin box 33 of the IoT device 30 at the same time.

[0159] A specific example of the analogy process for falling coins in step S42 will be described using Figures 16 and 17. The graph in Figure 16 shows the log of weight fluctuation values ​​acquired in step S41. The horizontal axis of the graph represents time, and the vertical axis represents the measurement value of the weight sensor 34 and the derivative of that measurement value. The table in Figure 17 shows the reference values ​​for determining the derivative of the measurement value when multiple coins are dropped simultaneously.

[0160] When one or more coins fall into the inner coin box 33, the fall causes a sudden change in the measurement value of the weight sensor 34 that measures the weight of the inner coin box 33. In this embodiment, this change is inferred from a change in the differential coefficient of the measurement value.

[0161] The degree of change in the differential coefficient of the measurement value of the weight sensor 34, that is, the height of the peak of the change in the differential coefficient, is determined by the weight of the coin and the falling speed of the coin.

[0162] As described above, in this embodiment, a 100-yen coin and a 500-yen coin were dropped into the inner coin box 33 in advance using the game machine 20 on which the coin measuring device was installed, and the degree of change in the differential coefficient of the measurement value of the weight sensor 34, i.e., the peak height P of the change in the differential coefficient, was measured. As a result, it was experimentally determined that the average value C100 of the peak height P for 100-yen coins was "2300", and the average value C500 of the peak height P for 500-yen coins was "3200".

[0163] The table in Figure 17 shows the reference values ​​for determining the differential coefficient of the measurement value when multiple coins are dropped simultaneously, based on the average value C100 of the peak height P for 100 yen coins, which is 2300, and the average value C500 of the peak height P for 500 yen coins, which is 3200.

[0164] For example, if two 100-yen coins are dropped at the same time, the reference value will be "4600," which is twice the average value C100 of 100-yen coins, "2300." If two 500-yen coins are dropped at the same time, the reference value will be "6400," which is twice the average value C500 of 500-yen coins, "3200." If a 100-yen coin and a 500-yen coin are dropped at the same time, the reference value will be "5500," which is the sum of the average value C100 of 100-yen coins, "2300," and the average value C500 of 500-yen coins.

[0165] In the graph of FIG. 16, five peaks were detected when the log of the acquired weight fluctuation values ​​was scanned.

[0166] The first peak has a peak height P1 of around 2300, which is the average value C100 of a 100-yen coin, so it can be inferred that a single 100-yen coin has fallen. The second peak has a peak height P2 of around 5500, which is the sum of the average value C100 of a 100-yen coin (2300) and the average value C500 of a 500-yen coin, so it can be inferred that a 100-yen coin and a 500-yen coin have fallen simultaneously. The third peak has a peak height P3 of around 3200, which is the average value C500 of a 500-yen coin, so it can be inferred that a single 500-yen coin has fallen. The fourth peak has a peak height P4 of around 2300, which is the average value C100 of a 100-yen coin, so it can be inferred that a single 100-yen coin has fallen. The fifth peak has a peak height P5 of around 6400, which is twice the average value C500 of 500 yen coins, 3200, so it can be inferred that two 500 yen coins fell at the same time.

[0167] Therefore, based on the log of weight fluctuations during the data acquisition period, it can be inferred that three 100-yen coins and four 500-yen coins were inserted.

[0168] (Operation during game center business hours: Sending data to the management server) During daytime operation when the game center is open, the coin management system 10 performs the above-mentioned processing and transmits all data from all game devices 20 obtained by the above-mentioned processing to the management server 50 at predetermined time intervals (for example, every minute).

[0169] As shown in the flowchart of FIG. 18, the IoT device 30 always determines whether the current time is the transmission timing (step S50).

[0170] When step S50 determines that it is time to transmit, the signal transmitting unit 38 of the IoT device 30 transmits to the management server 50 (step S51) (a) coin count data by the coin selectors 22, 22A, 22B (Figures 6 and 12), (b) analogical data of the number and type of coins based on fluctuations in the total weight of the inner coin box 33 (Figures 10 and 15), and (c) waveform data of the total weight of the inner coin box 33 when the number is estimated.

[0171] The management server 50 accumulates and stores the coin count data, coin analogy data, and waveform data of the total weight of the inner coin boxes transmitted from the IoT devices 30 of all game devices 20.

[0172] (Operation when game center is closed) When the game center closes, the coin management system 10 performs data tallying processing in accordance with instructions from the game center operator.

[0173] When the game center closes, the operator clicks the tally button on the sales management system screen of the coin management system 10 to check the business results for that day.

[0174] As shown in the flowchart of FIG. 19, the coin management system 10 determines whether or not the tally button has been clicked by the operator (step S60).

[0175] When it is determined in step S60 that the tally button has been clicked, the coin management system 10 tallies all coin count data and all coin analogy data for all game devices 20 that are stored in the management server 50 for each game device 20 (step S61).Then, the tally result is displayed on the sales management system screen (step S62), and this process ends.

[0176] (Data table of aggregated data) FIG. 20 shows a specific example of a data table of aggregated data.

[0177] 20(a) shows the aggregated data of the count values ​​of the coin selector, and FIG. 20(b) shows the aggregated data of the number of coins estimated result data.

[0178] The data items in these data tables are, as shown in Figure 20(a)(b), "aggregation time," "machine ID," "IoT device ID," "aggregated number of coins inserted (100 yen)," "aggregated number of coins inserted (500 yen)," "aggregated estimated number of coins (100 yen)," and "aggregated estimated number of coins (500 yen)."

[0179] The data item "aggregation time" is the time when the data was aggregated.

[0180] The data item "machine ID" is a unique ID that identifies the game device 20 that has been counted.

[0181] The data item "IoT device ID" is a unique ID that identifies the IoT device 30 that has been counted.

[0182] The data item "coin selector ID" is a unique ID that identifies the coin selector 22, 22A, 22B of the gaming device 20 that has been counted.

[0183] The data item "total number of inserted coins (100 yen)" is the total number of 100 yen coins identified by the coin selectors 22, 22A, and 22B.

[0184] The data item "total number of inserted coins (500 yen)" is the total number of 500 yen coins identified by the coin selectors 22, 22A, and 22B.

[0185] The data item “aggregated analogical number (100 yen)” is an aggregated analogical number obtained by aggregating the number of 100 yen coins estimated by the IoT device 30.

[0186] The data item “aggregated analogical number (500 yen)” is an aggregated analogical number obtained by aggregating the number of 500 yen coins analogically estimated by the IoT device 30.

[0187] (Sales management system screen) FIG. 21 shows a specific example of a sales management system screen.

[0188] The menu column on the left side of Figure 21 displays various buttons such as "Reference," "Sales Operations," "Sensor Value Aggregation," "Collection," "Collection Processing," "Collection History," "Sales," "Sales Processing," "Store Management Operations," and "Game Machine Management." When the operator clicks the "Sensor Value Aggregation" button, the data aggregation process of step S61 is performed.

[0189] The tabulated results are displayed in a table format in the data column on the right side of Figure 21. The data items in the tabulated results are "Machine ID," "Model Name," "Corner," "Coin Box ID," "Denomination," "Estimated Number," "Coin Selector ID," "Denomination," "Coin Selector Value," and "Difference."

[0190] The data item “machine ID” is a unique ID that identifies the game device 20.

[0191] The data item “model name” is the model name of the game device 20.

[0192] The data item "corner" is the type of game device 20.

[0193] The data item “coin box ID” ​​is a unique ID that identifies the coin box of the game device 20.

[0194] The data item "denomination" is the coin denomination (100 yen, 500 yen, etc.).

[0195] The data item “estimated number of coins” is an aggregated analogical number obtained by aggregating the number of coins estimated by the IoT device 30.

[0196] The data item “coin selector ID” is a unique ID that identifies the coin selector 22, 22A, 22B of the game device 20.

[0197] The data item "denomination" is the coin denomination (100 yen, 500 yen, etc.).

[0198] The data item "coin selector value" is the total number of inserted coins obtained by tallying the number of coins identified by the coin selectors 22, 22A, and 22B.

[0199] The data item "difference" is the difference in number between the value of the data item "estimated number of coins" and the value of the data item "coin selector value."

[0200] [Modified embodiment] The present invention is not limited to the above embodiment and various modifications are possible.

[0201] The notations, expressions, modes, etc. in the above-described embodiments are merely examples and are not intended to be limiting. [Explanation of symbols]

[0202] 10...Coin management system 20...Game device 22, 22A, 22B...Coin selector 24...Coin box 30…IoT device 32...Outer coin box 33...Inner coin box 34...Weight sensor 36...Signal processing circuit board 38...Signal transmitter 40...Internet 50...Administration Server 60...PC terminal

Claims

1. A coin measuring device to be installed in a device that provides goods or services in response to the insertion of coins, a weight measuring unit for measuring the weight of the inserted coin; a coin analogy unit that analogizes the inserted coin based on the change in weight measured by the weight measurement unit; a coin analogy information transmission unit that transmits coin analogy information obtained by the coin analogy unit; A coin measuring device comprising:

2. 2. The coin measuring device according to claim 1, a coin validator information transmitting section that transmits coin validator information based on a signal from a coin validator provided in the device that provides the product or service; Further having A coin measuring device characterized by:

3. 3. The coin measuring device according to claim 1, The coin analogy unit analogizes the inserted coin based on the height of a peak of a differential coefficient of the weight measurement value measured by the weight measurement unit, which is generated by the impact of the dropped inserted coin. A coin measuring device characterized by:

4. a coin measuring device provided in a device that provides goods or services in response to the insertion of a coin, the coin measuring device having a weight measuring unit that measures the weight of the inserted coin, a coin analogy unit that infers the inserted coin based on the change in weight measured by the weight measuring unit, and a coin analogy information transmitting unit that transmits coin analogy information obtained by the coin analogy unit; a receiving unit that receives the coin analogy information transmitted from the coin analogy information transmitting unit of the coin measurement device; a counting unit that counts the coin analogy information received by the receiving unit; a display unit that displays the counting result of the coin analogy information counted by the counting unit; have A coin management system characterized by:

5. 5. The coin management system according to claim 4, the coin measuring device further comprises a coin validator information transmitting unit that transmits coin validator information based on a signal from a coin validator provided in a device that provides the product or service; the receiving unit further receives the coin discriminator information transmitted from the coin discriminator information transmitting unit of the coin measurement device, The counting unit further counts the coin discriminator information received by the receiving unit, The display unit displays both the counting result of the coin analogy information counted by the counting unit and the counting result of the coin discriminator information counted by the counting unit. A coin management system characterized by:

Images