JP2020080082A - Monitoring system and monitoring method of cash center - Google Patents

Abstract

To provide a monitoring system of a cash center capable of improving reliability and usability.SOLUTION: A monitoring system 3 of a cash center 2 includes a monitoring camera 21 for imaging an operator 22 operating a sorter 20 and a management server 1 communicatively connected to the sorter and the monitoring camera. When a predetermined event, which is set in advance, is detected, the management server 1 extracts image data of the operator corresponding to the predetermined event from a moving image file imaged by the monitoring camera and provides sorting result data corresponding to the predetermined event among sorting result data from the sorter and the extracted image data in association with each other to a predetermined output destination.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a cash center monitoring system and a cash monitoring method.

  Banknotes collected from ATM (Automated Teller Machine) and the like are carried into a cash center and sorted by an automatic cash sorting machine (sorter) installed in the cash center (Patent Document 1). Normal automatic cash sorting machines are often used in an offline state where they are not connected to a communication network, and most of them are not remotely monitored.

JP, 2008-045631, A

  Since a conventional cash center is not remotely monitored, even if an employee robbed a bill, the fact of the robbery was not known or it took a long time to be discovered. Therefore, it is possible for an employee who arbitrarily removes a dirty bill or the like to leave the cash center before the fraud is known.

  On the other hand, when a counterfeit note is detected at a cash center, many countries impose an obligation to report the counterfeit note to the police and the central bank, but it takes time to collect the information necessary to report the counterfeit note. There is also.

  Therefore, an object of the present invention is to provide a monitoring system and a monitoring method for a cache center that can improve reliability and usability.

  In order to solve the above-mentioned problems, a cash center monitoring system according to the present invention includes a monitoring camera for photographing an operator who operates an automatic cash sorting machine, and a management device communicably connected to the automatic cash sorting machine and the monitoring camera. Therefore, if a predetermined event set in advance is detected, the image data of the operator corresponding to the predetermined event is extracted from the moving image file taken by the surveillance camera, and the automatic cash sorting machine outputs the image data. A management device that associates the sorting result data corresponding to a predetermined event of the sorting result data with the extracted image data and provides the image data to a predetermined output destination.

  According to the cash center monitoring system of the present invention, when a predetermined event is detected by monitoring the automatic cash sorting machine from the management device, the image data of the operator corresponding to the predetermined event is extracted and handled. It can be output to a predetermined output destination in association with the sorting result data. Furthermore, since the image data and the sorting result data are easily used, usability is improved.

It is a functional block diagram which shows the whole monitoring system of a cash center. It is the whole explanatory view showing the relation of ATM, a sorter, and a management server. It is an example of a transaction management database. It is an example of a serial number list. It is an example of a database that manages videos of fraudulent patterns. It is an example of a database that manages surveillance videos. It is an example of a database that manages employees. It is a flowchart which shows the process which registers the video of a cheating pattern. It is a flow chart which shows processing which records a surveillance animation of an operator. It is a flowchart which shows the process which outputs the evidence of fraudulent activity. It is a flowchart which shows the automatic cash sorting process of a sorter. It is a flowchart which shows the process which registers the sorting result of a sorter. It is a flowchart which shows the process which outputs the evidence of a fake bill. It is a flowchart which shows the process which outputs the evidence of amount mismatch. 9 is a flowchart showing a process of printing evidence or copying it to an external memory.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the monitoring system 3 according to the present embodiment, the sorter 20 is brought online, and the management server 1 that works with the monitoring camera 21 and the sorter 20 are connected by the communication network CN. As a result, in the monitoring system 3 of the present embodiment, the management server 1 receives all of the banknote information sorted by the sorter 20, the monitoring image (monitoring video) captured by the monitoring camera 21, and the analysis result of the monitoring image. Can be centrally managed. As a result, it is possible to efficiently perform processing such as fraud detection, amount mismatch, evidence collection, and fake bill discovery report, and reliability and usability are improved.

  The cash center monitoring system 3 according to the present embodiment can remotely monitor an operator 22 who operates the sorter 20 in the cash center 2 that sorts banknotes collected from a bank branch or an ATM 4. The surveillance camera 21 installed in the cache center 2 is connected to the management server 1. The management server 1 determines whether or not a fraudulent act has occurred by comparing the motion of the operator with the video of the fraudulent activity pattern registered in advance.

  The sorter 20 uses, for example, the transaction ID (identification information) for distinguishing the unit of banknotes to be sorted, the number of sorted banknotes and denominations, the damage status, the serial number of the banknote, and the sorting date and time inside the sorter. Is recorded as banknote information in the storage device. Then, the sorter 20 also records which branch number, which branch name, or which ATM number the bill was collected from. Furthermore, the sorter 20 has a login ID and a login password of an operator who sorts bills, a sorting start time and a sorting end time, a sorter number sorting bills, recorded bill information, and bill collection source information. And the information of the operator are transmitted to the management server 1.

  The management server 1 immediately identifies the operator who performed the cheating, and extracts the moving image file that is likely to include the cheating, when the operator is detected. The management server 1 associates personal identification information such as the name of an operator who has committed fraud, bibliographic information (date and time, amount of money, etc.) indicating the content of fraud, and image data that is evidence of fraud. The information is saved and the information (predetermined data) is transmitted to the terminal 5 used by the administrator 51. The image data may be directly transmitted to the administrator terminal 5, or may be provided to the administrator terminal 5 when the administrator server 5 accesses the management server 1.

  Further, the management server 1 causes the manager 51 to send the bills to the terminal 5 of the manager 51 even when the result of sorting the banknote collection cassettes 41 taken out from the ATM 4 by the sorter 20 and the amount of the receipt 42 outputted from the ATM 4 do not match. You can

  Furthermore, when the sorter 20 detects a counterfeit note, the management server 1 can associate the image data of the counterfeit note with the bibliographical information and transmit the counterfeit note to the manager terminal 5.

  According to the present embodiment having such a configuration, the management server 1 can promptly detect the detection of counterfeit bills and the fraud inside the cash center 2 (theft of bills), and the fraudulent acts and the like. Evidence (who generated when, what sort of transaction, etc.) can be automatically output. Therefore, the reliability of the cash center can be improved and the usability can be improved.

  A first embodiment will be described with reference to FIGS. FIG. 1 is a functional configuration diagram showing the entire cash center monitoring system 3.

  The monitoring system 3 includes, for example, a management server 1, a cash center 2, and an administrator terminal 5.

  The cash center 2 will be described first. The cash center 2 sorts the bills collected from the ATM 4, etc., and reports the sorting result to the management server 1. Below, the case where the banknotes collected from the ATM 4 are sorted will be described as an example.

  A plurality of banknote collection cassettes (hereinafter, cassettes) 41 and receipts 42 are carried into the cash center 2 from the ATM 4. The cassette 41 is prepared according to the purpose, such as a cassette for 10,000-yen bills, a cassette for 5,000-yen bills, a collection cassette, and the like. On the receipt 42, for example, the total amount of collected banknotes, branch name, ATM number, collection date, etc. are printed. The receipt 42 is a recording medium that holds information about banknotes that is input to the sorter 20 for sorting processing, and can also be referred to as sorting cash information.

  The sorter 20 includes a plurality of insertion ports 201 into which banknotes from the cassette 41 are inserted, and a user interface device 202 for operating the sorter 20. The user interface device 202 can be configured, for example, like a tablet computer terminal including an information input unit and an information output unit. A user interface device other than the tablet computer terminal may be used.

  The operator 22 wears, for example, a number 221 in which an operator ID is described before and after clothes. The operator 22 may wear a hat (not shown) displaying the operator ID. By displaying the operator ID of the operator conspicuously, the operator 22 can be easily specified from the moving image file captured by the monitoring camera 21. Information of an information terminal (so-called smartphone, IC tag, etc.) worn by the operator 22 may be used instead of the number 221. In this case, a reader for contactlessly reading the operator ID from the information terminal may be arranged in the sorter 20 or in the vicinity thereof. However, the number 221 can be used at a lower cost.

  A surveillance camera 21 is installed on the ceiling or the like of the cash center 2. The mounting position and angle of the monitoring camera 21 are determined so that the operation of the operator 22 who operates the sorter 20 can be photographed. A monitoring camera 21 may be provided for each sorter 20, or if possible, a plurality of sorters 20 may be monitored by one monitoring camera 21. Alternatively, a plurality of surveillance cameras 21 may be arranged for one sorter 20. The video (moving image) captured by the monitoring camera 21 is transmitted from the communication network CN to the management server 1.

  The administrator terminal 5 is an information terminal used by the administrator 51. A so-called smartphone can be used as the administrator terminal 5. The administrator terminal 5 may be any device that has a function of communicating with the management server 1 and a function of exchanging information with the management server 1, and is not limited to a smartphone. The administrator terminal 5 receives from the management server 1 the information about the fraud generated in the cash center 2 and the information on the counterfeit bills detected by the sorter 20, and provides the information to the administrator 51. To provide information from the management server 1 to the administrator terminal 5, for example, electronic mail can be used. The management server 1 and the administrator terminal 5 may exchange information in a form other than electronic mail.

  The configuration of the management server 1 will be described. The management server 1 is configured as, for example, a computer including circuits such as a microprocessor, a main storage device, and an auxiliary storage device (all not shown). The management server 1 as a management device for remotely monitoring the cache center 2 is realized by the microprocessor executing the predetermined computer program read out to the main storage device.

  The management server 1 includes, for example, the fraud detection unit 10, the database 11, the communication unit 12, the sorting result data acquisition unit 13, the moving image data acquisition unit 14, the output unit 15, and the user interface unit (UI in the figure). Section 16) and a memory interface section 17.

  The fraud detection unit 10 has a function of detecting a predetermined event registered in advance. The function of detecting a predetermined event includes, for example, an unauthorized action detecting unit 101 that detects an action similar to an unauthorized action in which the action of the operator 22 is registered in advance, the contents of the receipt 42, and the sorting result of the sorter 20. It is possible to include a money amount mismatch detection unit 102 that detects a case where the bills do not match, and a counterfeit bill detection unit 103 that detects that a counterfeit bill has been found in the bills input to the sorter 20.

  Further, the fraud detection unit 10 includes an evidence output unit 104 that outputs evidence in response to a request from the administrator terminal 5. The predetermined data output from the evidence output unit 104 is sent from the output unit 15 to the administrator terminal 5 via the communication unit 12 and the communication network CN. The evidence output unit 104 may be provided as a function different from that of the fraud detection unit 10.

  The database 11 manages information for use in detecting fraud and notifying the administrator 51 of the detected fraud. Examples of information stored in the database 11 will be described later with reference to FIGS.

  The communication unit 12 has a function of communicating with the sorter 20, the monitoring camera 21, and the administrator terminal 5 via the communication network CN. The communication network CN will be described later with reference to FIG.

  The sorting result data acquisition unit 13 has a function of acquiring data from the sorter 20 via the communication network CN and the communication unit 12. The sorting result data acquisition unit 13 can also acquire the information described in the receipt 42 via the sorter 20. The acquired data is stored in the database 11.

  The moving image data acquisition unit 14 has a function of acquiring a moving image file captured by the surveillance camera 21 via the communication network CN and the communication unit 12. The acquired moving image file is stored in the database 11.

  The output unit 15, which can also be called an "evidence providing unit", transmits the fact of the injustice detected by the injustice detecting unit 10 and the evidence thereof from the communication unit 12 to the administrator terminal 5 via the communication network CN. It is a function to do. An electronic mail, for example, can be used to transmit the information (data). The output unit 15 may have a web server function and may provide information to the administrator terminal 5 in the form of a web page.

  The user interface unit 16 is an information input/output device used for maintenance and the like of the management server 1. The user interface unit 16 can include, for example, a keyboard, a pointing device, a touch panel, a display, a voice synthesizer, a printer, and the like.

  The memory interface unit 17 is an interface that sends and receives data to and from the external memory 6. The evidence (predetermined data) output by the evidence output unit 104 can be written to the external memory 6 from the memory interface unit 17. Alternatively, the evidence output by the evidence output unit 104 can be output to the printer or the display of the user interface unit 16.

  FIG. 2 is a diagram showing the overall connection configuration. FIG. 1 shows a case where the management server 1, the sorter 20, the surveillance camera 21, and the administrator terminal 5 are connected by the common communication network CN. Instead, the management server 1 and each sorter 20 are connected by a communication network CN1, the management server 1 and each surveillance camera 21 are connected by another communication network CN2, and the management server 1 and the administrator terminal 5 are connected. You may connect with another communication network CN3.

  The management server 1 can monitor a plurality of sorters 20. The plurality of sorters 20 may be provided in the same cache center 2 or may be provided in different cache centers 2. If the management server 1 is configured as a so-called cloud system, it is possible to provide monitoring services to different businesses (banks).

  FIG. 3 shows an example of the transaction management database T10 included in the database 11 of the management server 1.

  The transaction ID C101 is a number for identifying which banknotes are sorted when sorting the banknotes to be collected in the cash center 2 in a grouped unit. For example, a transaction ID is assigned with one transaction that sorts all the banknotes collected from one ATM 4.

  The transaction start time C102 is the time to start sorting of one transaction (one transaction), that is, when the operator 22 presses a transaction start button (not shown) from the screen of the user interface device 202 provided in the sorter 20. Is the time recorded in. The transaction end time C103 is the time when the sorting of one transaction ends, that is, the time recorded when the operator 22 presses the transaction end button (not shown).

  The operator name/ID C104 is an employee number that identifies the operator 22. The sorter number C105 is a number that identifies each sorter 20. The collection date C106 is the date when the banknotes were collected from the branch or ATM 4. Generally, the banknotes in the ATM 4 are collected while being stored in the cassette 41, and the banknotes in the branch are collected in a carrying bag. At the time of collecting the bills, a receipt 42 on which the total amount of the collected bills, branch name, ATM number, collection date, etc. are printed is attached. Before starting the transaction, the operator 22 of the sorter 20 looks at the receipt 42 and inputs the collection date C106, the collection branch name C107, the ATM number C108, and the collection amount C109 from the user interface device 202 of the sorter 20. The information input from the user interface device 202 is recorded in the storage device in the sorter 20.

  As described above, the sorter 20 is a device that sorts the denominations of bills and the states of bills and sums the amounts. The state of bills includes genuine bills, unfit bills, and counterfeit bills. Genuine bills are bills that are not very dirty and can be reused. An unfit note is a bill that is dirty and cannot be reused. A forged note is a forged or altered bill.

  Items C111 to C119 indicate the respective numbers of sheets sorted by the sorter 20 based on the denomination and the state of bills. That is, items C111 to C113 are information on the sorting of 10,000-yen bills, items C114 to C116 are information on the sorting of 5,000-yen bills, and items C117 to C119 are information on the sorting of 1,000-yen bills. Items C111, C114, and C117 indicate the number of genuine bills, items C112, C115, and C118 indicate the number of unfit bills, and items C113, C116, and C119 indicate the number of counterfeit bills.

  The miscalculated amount C120 indicates the difference in the total amount of money for one transaction, that is, the difference between the assorted amount C110 and the collected amount C109. The value of the wrong amount C120 is usually "0", but if the collected bills include counterfeit bills or the operator 22 steals the bills, the assortment amount C110 and the collected amount C109 are the same. do not do. When an incorrect amount is generated, the cause will be investigated and evidence will be collected by operating the cash center.

  The moving image file C121 is a moving image file in the case where any one of counterfeit bills, fraudulent acts, and amount mismatches is detected. A movie in which the state of the operator 22 is recorded for a total of 20 minutes, 10 minutes before and after, based on the time when any of the fake bills, fraudulent acts, or amount mismatches are detected in the movie files captured by the surveillance camera 21. It is a file. The moving image file C121 is an example of “image data of an operator corresponding to a predetermined event”.

  The number of counterfeit notes C122 is the number of counterfeit notes detected by the sorter 20 during one transaction. The counterfeit note image file C123 is an image file of the detected counterfeit note.

  The sorter 20 records the data of the items C101 to C123 in a storage area inside the sorter 20, and after the transaction is completed, transmits the data together with the data of the items C206 to C210 described in the serial number list T20 to the management server 1.

  When the management server 1 receives the data for one transaction from the sorter 20, the management server 1 generates a transaction ID by numbering during the day, associates the generated transaction ID with the data for one transaction, and conducts the transaction. It is recorded in the management database T10. When the administrator clicks the transaction ID of the transaction management database T10 on the screen of the administrator terminal 5, the screen transitions to the screen of the serial number list T20.

  FIG. 4 shows a serial number list T20 included in the database 11. The serial number list T20 shows a list of serial numbers of banknotes recorded in the management server 1. Items C202 to C210 are information recorded in the storage area of the sorter 20 when banknotes are sorted by the sorter 20, and are transmitted from the sorter 20 to the management server 1 at the end of the transaction.

  Comparing the list T20 of FIG. 4 with the database T10 of FIG. 3, the transaction ID C201 is the same as the transaction ID C101. The operator name C202 is the same as the operator C104. The sorter number C203 is the same as the sorter number C105. The assortment amount C204 is the same as the assortment amount C110. The amount of wrong amount C205 is the same as the amount of wrong amount C120. The date C206 is the same as the date included in the transaction start time C102.

  Time C207 indicates the time when the banknotes were sorted into the sorter 20. The serial number C208 indicates a number unique to the bill described on the face of the bill. The sorter 20 reads a banknote as an image and recognizes a character on the image to record the serial number C208, which is a unique number, in a storage area in the sorter 20.

  The denomination C209 indicates the type of money amount of the bill. The type C210 indicates the state of bills. As described above, the items C207 to C210 are sent together when the sorter 20 sends data to the management server 1. Upon receiving the data from the sorter 20, the management server 1 records the values of the items C207 to C210 in the serial number list T20. Then, the management server 1 links the transaction management database T10 and the serial number list T20 with the transaction ID.

  FIG. 5 is an example of the database T30 that manages the fraudulent behavior pattern moving image recorded in the management server 1. When introducing the monitoring system 3, a moving image file C302 in which various fraudulent behaviors are recorded is created in advance and registered in the database 400. The management server 1 assigns a pattern number C301 and stores it in association with the moving image file C402 so that each fraudulent behavior pattern can be identified.

  FIG. 6 is an example of a database T40 that stores and manages moving image files captured by each surveillance camera 21.

  The management server 1 assigns a serial number C401 and associates it with the moving image file C405 in order to identify the moving image file shot by each surveillance camera 21. The surveillance camera number C402 is a number for identifying each surveillance camera 21. The date C403 is the date when the moving image file was captured. The recording start time C404 is the time when the recording is started. The moving image file C405 is the name (storage destination) of the captured moving image file.

  FIG. 7 is an example of a database T50 included in the database 11 of the management server 1 for managing employees.

  The employee number C501, which is a number for identifying the employee, is written on the number 221 and the hat worn by the employees (the operator 22 and the manager 51). The surveillance camera number C502 is a number that identifies the surveillance camera 21 assigned to the employee's surveillance. The name C503 is the name of the employee (only the family name is shown in FIG. 7). The job category C504 includes “operator” and “manager”. The face image C505 displays the face of the employee. The mail address C506 is a contact mail address of the employee.

  FIG. 8 is a flowchart showing a process (S10) of registering a fraudulent activity pattern in the monitoring system 3 (management server 1). By registering the behavior when the operator 22 steals a bill as a fraudulent behavior pattern in advance in the monitoring system 3, a suspicious behavior of the operator 22 can be automatically detected.

  When the fraudulent activity pattern is newly registered (S11: YES), the fraudulent activity moving image file is newly registered in the database T30 shown in FIG. 5 (S12). When updating the moving picture file of the fraudulent activity pattern that has already been registered (S11: No, S13: YES), the moving picture file of the target fraudulent activity pattern is replaced with a new moving picture file and the database T30 is updated (S14).

  When deleting the moving picture file of the registered fraudulent activity pattern (S11:NO, S13:NO, S15:YES), the moving picture file of the target fraudulent activity pattern is deleted from the database T30 (S16). When the operation (registration operation, update operation, deletion operation) on the database T30 is completed, this process ends normally (S17: YES).

  The database T30 can be updated every time a new fraudulent method is found and a moving picture file of the new fraud pattern is created. The moving image file registered in the database T30 may be a file that has been captured in advance at a cash center or a factory, or a file that has been captured on the spot using the actual sorter 20 of the cache center 2.

  FIG. 9 is a flowchart showing a process (S20) of monitoring the operation of the operator 22 working in the cash center 2 and recording it as a moving image file.

  When the preset photographing start time arrives (S21: YES), each surveillance camera 21 starts photographing the target region near the sorter 20 (region where the operator 22 works during sorting work) (S22), When the shooting end time arrives (S23: YES), the moving image file is saved and the database T40 shown in FIG. 6 is updated (S24).

  When today's work in the cash center 2 is completed (S25: YES), this process ends normally. When the working time (business hours) of the cash center 2 is not over (S25: NO), the process returns to step S21 and waits until the arrival of a predetermined time zone to be photographed next.

  Examples of the predetermined time period during which the surveillance camera 21 takes an image include a time period from 9 am to 12 pm, a time zone from 12:00 pm to 18:00 pm, and a time zone from 18:00 pm to 24:00 pm Can be raised. That is, in the present embodiment, the business hours of the cash center 2 are divided into a plurality of time zones, and a moving image file that monitors the operator 22 is created for each time zone and saved in the management server 1. By creating a moving image file for each time period, image data that can be evidence can be quickly searched from the moving image file when a fraudulent act or the like is detected.

  FIG. 10 shows a process (S30) of analyzing the moving image file taken by the surveillance camera 21 to create predetermined data that is evidence of the illegal act by the operator 22, and notifying the terminal 5 of the administrator 51. It is a flowchart. That is, this processing automatically outputs as evidence that when, who did what, as evidence when an illegal act occurred.

  The fraud detection unit 10 of the management server 1 confirms whether there is a new moving image file, that is, whether there is an unanalyzed moving image file (S31). When there is an unanalyzed moving image file (S31: YES), the fraud detection unit 10 includes image data corresponding to any of the fraudulent behavior patterns registered in the database T30 in the unanalyzed moving image file. It is checked whether or not (S32).

  When the image data corresponding to the fraudulent activity pattern is not detected (S33: NO), the process returns to step S31. When the image data corresponding to the fraud pattern is detected (S33: YES), the fraud detection unit 10 analyzes the image data to identify the operator 22 who has performed the action corresponding to the fraud pattern. (S34).

  For example, the face of the operator 22 shown in the image data is compared with each face image C505 registered in the employee management database T50, or the ID image displayed on the number 221 or the hat of the operator 22 is compared with the face image C505. It collates with the employee number C501 registered in the employee management database T50. By these collation processes, it is possible to specify which operator 22 among the employees registered in the employee management database T50 performed the action considered to be a fraudulent act.

  The fraud detection unit 10 detects the transaction ID C101 from the transaction management database T10 using the operator name/ID C104 and the fraud occurrence time as keys (S35). The fraud detection unit 10 cuts out image data of a predetermined time (for example, 10 minutes before and after the fraud occurrence time, for a total of 20 minutes) based on the time when the fraud occurred from the monitored video file. , And save it in item C121 in FIG. 3 (S37).

  The file name is generated as, for example, “F_date_transaction ID.mp4”. "F" means fraud. The “date” is the date when the fraudulent act occurred. The “transaction ID” is an ID that identifies a transaction in which an illegal act has occurred.

  The fraud detection unit 10 stores the image data (moving image file) extracted as the evidence of fraud in the column of the transaction ID C101 in which the fraud occurred out of each transaction ID registered in the transaction management database T10. (S36).

  The fraud detection unit 10 notifies the administrator 51 of the occurrence of fraud (S37). For example, an e-mail including a message (or a mail title) indicating that the fraudulent activity has occurred and the transaction ID C101 in which the fraudulent activity has been performed is sent to the e-mail address of the administrator 51.

  When the administrator 51 receives the email from the management server 1 at the administrator terminal 5, the administrator 51 accesses the management server 1 using the administrator terminal 5 and uses the transaction ID described in the email as a key to store the database T10. To search. Accordingly, the administrator 51 can confirm the moving image file C121, the counterfeit ticket image file C123, and the other items C102 to C120, C1223, and C201 to C210 when the counterfeit bill/fraud is generated. The administrator 51 can copy the evidence data as “predetermined data” to the external memory 6, display it on the display of the user interface unit 16, or print it out from the printer of the user interface unit 16.

  Image data as evidence may be reproducibly embedded in the e-mail notifying the occurrence of fraud, or a link to an image file may be set. As described with reference to FIG. 10, the fraudulent transaction ID may be associated with the fraudulent sorting result data by notifying the fraudulent transaction ID by e-mail.

  FIG. 11 is a flowchart showing the sorting process (S40) of the sorter 20. The operator 22 logs in from the screen of the user interface device 202 of the sorter 20 and inputs predetermined information (S41).

  In step S41, the sorter 20 records the name/ID of the operator 22. The operator 22 inputs the collection date C106, the collection branch name C107, the ATM number C108, and the collection amount C109 into the user interface device 202 as information (predetermined information) about the bills sorted by the sorter 20. The input information is stored in the storage area in the sorter 20. Hereinafter, similarly, the information detected by the sorter 20 is temporarily stored in the storage area in the sorter 20 and then transmitted to the management server 1.

  When the operator 22 presses the transaction start button (S42: YES), the sorter 20 records the transaction start time C102 (S43). When the sorter 20 confirms that the banknote has been set by the operator 22 (S44: YES), the sorter 20 identifies the banknote, sorts it, and displays the sorting amount C110 on the screen of the user interface device 202 (S45).

  The sorter 20 records the sorting amount C110 and the following identification result (S46). That is, the identification result shows that the number (10,000-yen bill) genuine bill C111, the number (10,000-yen bill) unfit bill C112, the number (10,000-yen bill) counterfeit bill C113, the number (5,000-yen bill) genuine bill C114, and the number (5 Thousand-yen bill) Unfit note C115, Number of sheets (5,000-yen note) Counterfeit note C116, Number of sheets (thousand-yen note) Genuine note C117, Number of sheets (thousand-yen note) Crash ticket C118, Number of sheets (thousand-yen note) Counterfeit note C119, Time There are C207, serial number C208, denomination C209, and type C210.

  When the sorter 20 detects a counterfeit note, the counterfeit note number C122 and the counterfeit note image file C123 are recorded (S46).

  When the operator 22 presses the transaction end button (S47: YES), the sorter 20 records the transaction end time C103 (S48). Further, the sorter 20 transmits the sorter number C105, the information corresponding to the items C102 to C119, and the information corresponding to the items C207 to C210, C122, and C123 to the management server 1 in association with each other (S48).

  FIG. 12 is a flowchart showing a sorting result registration process (S50) executed by the management server 1. When the management server 1 receives the data from the sorter 20 (S51), it assigns the transaction ID C101 or the transaction ID C201 (S52).

  The management server 1 updates the transaction management database T10 and the serial number list T20 using the transaction ID C101 or the transaction ID C201 as a key (822). The management server 1 determines whether the data received from the sorter 20 includes information about counterfeit bills (S54), and when the information of counterfeit bills is not included, that is, when the sorter 20 does not detect counterfeit bills. (S54: NO), and proceeds to step S55 described later. If a counterfeit note has been detected (S54: YES), the procedure proceeds to counterfeit note evidence output processing (S60) described below.

  The management server 1 determines whether the amount of money written on the receipt 42 and the amount of money sorted by the sorter 20 do not match (S55), and if the amount of money does not match (S55: YES), the amount of money does not match as described later. The process proceeds to the evidence output process (S70). If no amount mismatch has occurred (S55: NO), this process ends normally.

  FIG. 13 is a flowchart showing the evidence output process (S60) of a fake note. The management server 1 detects the surveillance camera name C502 from the database T50 by using the operator name/ID C503 that sorts the counterfeit notes as a key (S61). The management server 1 searches the database T40 for a moving image file C405 that is predicted to include image data at the time of finding a counterfeit note, using the counterfeit ticket occurrence date C206, time C207, and surveillance camera name C502 as keys (S62).

  The management server 1 cuts out the image data for 10 minutes before and after that (20 minutes in total) from the moving image file C405 based on the time C207 of the counterfeit ticket occurrence date C206, and gives the name C121 (S63). A file name such as “G_date_transaction ID.mp4” can be attached to the image data that is evidence of the discovery of counterfeit bills. "G" is an abbreviation for counterfeit bill. “Date” is the date when the counterfeit bill was generated. The “transaction ID” is the ID of the transaction in which the counterfeit bill has occurred.

  The management server 1 updates the database T10 by writing the image data (counterfeit bill moving image file C121) extracted in step S63 into the column of the transaction ID C101 in which a counterfeit note has occurred in each transaction ID of the transaction management database T10. Yes (S64). Finally, the management server 1 creates an e-mail indicating that a counterfeit note has occurred and sends it to the e-mail address C506 of the administrator 51 (S65).

  FIG. 14 is a flowchart showing the evidence output process (S70) when the amounts do not match. The management server 1 identifies the surveillance camera 21 corresponding to the sorter 20 in which the amount mismatch has occurred (S71), and identifies the moving image file in which the amount mismatch has occurred from the moving image files captured by the surveillance camera 21 (( S72).

  The management server 1 extracts the image data for a predetermined time from the specified moving image file based on the occurrence time of the amount mismatch, and stores it (S73). After updating the transaction management database T10 (S74), the management server 1 notifies the manager 51 by e-mail that the amount mismatch has occurred (S75).

  FIG. 15 is a flowchart showing a process of printing evidence or storing it in an external memory (S80).

  The administrator 51 searches the transaction management database T10 or the serial number list T20 by using the transaction ID C101 described in the e-mail notifying the occurrence of the fraudulent act or the counterfeit bill as a key, and specifies the evidence data. Yes (S81).

  When the management server 1 is instructed to print (S82: YES), the management server 1 instructs the printer to print the evidence data specified in step S82 (S83). The printer may be a printer directly connected to the management server 1 or a printer network-connected to the management server 1. Further, instead of printing on a paper medium, it may be printed as an electronic medium.

  If the administrator 51 has not requested printing (S82: NO), the management server 1 determines whether copying to the external memory 6 has been requested (S84). When the copy to the external memory 6 is requested (S84: YES), the evidence data is written from the memory interface unit 17 to the external memory 6 (S85).

  According to the present embodiment configured as described above, the cash center 2 is monitored by the monitoring camera 21 and the captured moving image file is analyzed in real time, so that the fraudulent activity by the operator 22 is automatically and promptly detected. Therefore, the reliability of the cache center 2 is improved.

  Further, in the present embodiment, not only fraudulent acts but also the event such as the amount mismatch, the occurrence of counterfeit bills, etc. can be easily confirmed by the administrator, so support the administrator's report preparation work etc. It is possible to improve the usability for the administrator.

  The present invention is not limited to the above embodiment. Those skilled in the art can make various additions and changes within the scope of the present invention. The features described in the embodiments can be combined as appropriate.

From the description of this embodiment, the sorter 20 can also be expressed as follows.
An automatic cash sorting machine 20 for sorting cash in a cash center 2, which manages sorting result data as a result of sorting work, and image data and serial number of the counterfeit bill when a counterfeit bill is detected during the sorting work. Send to device 1,
Automatic cash sorting machine.

From the description of this embodiment, the management server 1 can be expressed as follows.
A management device 1 for managing a cash center for sorting cash,
Receiving a video file captured by the surveillance camera 21 capturing an operator 22 operating the automatic cash sorting machine 20,
Receives sorting result data which is the result of sorting work in the automatic cash sorting machine,
When a preset predetermined event is detected by analyzing the moving image file and the sorting result data, the image data of the operator 22 corresponding to the predetermined event is extracted from the moving image file. A management apparatus, which associates assortment result data corresponding to the predetermined event of the sorting result data with the extracted image data, and provides the output to a predetermined output destination.

  1: management server, 2: cash center, 3: monitoring system, 4: ATM, 5: administrator terminal, 6: external memory, 10: fraud detection unit, 11: database, 12: communication unit, 13: sorting result data Acquisition unit, 14: Video data acquisition unit, 15: Output unit, 16: User interface unit, 17: Memory interface unit, 20: Sorter, 21: Surveillance camera

Claims (8)

A monitoring system for monitoring cash centers that sort cash,
A surveillance camera that shoots the operator who operates the automatic cash sorting machine,
A management device communicably connected to the automatic cash sorting machine and the surveillance camera, and when a predetermined event set in advance is detected, from among the moving image files photographed by the surveillance camera, The image data of the operator corresponding to a predetermined event is extracted, and the sorting result data corresponding to the predetermined event among the sorting result data from the automatic cash sorting machine and the extracted image data are associated with each other to a predetermined value. A management device provided to the output destination,
Cash center monitoring system. The image data is extracted from the moving image file based on the occurrence time of the predetermined event,
The cash center monitoring system according to claim 1. The predetermined output destination is an information terminal used by the manager of the cash center,
The cash center monitoring system according to claim 2. The predetermined event includes a case where the operation of the operator is similar to a fraudulent behavior registered in advance,
The cash center monitoring system according to claim 1. The predetermined event includes a case where the data indicating the type and amount of cash input to the sorting machine and the sorting result of the sorting machine do not match,
The cash center monitoring system according to claim 1. The predetermined event includes a case where a counterfeit bill is detected from the cash input to the sorting machine,
The cash center monitoring system according to any one of claims 1 to 3. The surveillance camera photographs a predetermined target area set in advance for a predetermined time zone set in advance, and saves the moving image file,
The cash center monitoring system according to any one of claims 1 to 3. A monitoring method for monitoring a cash center that sorts cash with a computer,
In the cash center, the sorting machine is operated by the operator,
The computer is communicatively connected to the surveillance camera for photographing the operator and the sorting machine,
When the predetermined event that has been set is detected, the computer extracts the image data of the operator corresponding to the predetermined event from the moving image file taken by the surveillance camera, and the sorting machine extracts the image data. Of the sorting result data, the sorting result data corresponding to the predetermined event and the extracted image data are associated and provided to a predetermined output destination,
How to monitor a cash center.

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