KR101842979B1 - Store management server - Google Patents

Abstract

A shop management server according to an embodiment of the present disclosure is disclosed. The shop management server includes an employee area where employees are located from event information related to an event and a motion detection sensor from a POS terminal, and the staff area is a predetermined area inside the sales desk in which the POS terminal is installed. And a customer area in which a customer is located, the customer area being a predetermined area outside the sales area, a network connection part for receiving the motion information related to the operation in the predetermined area, And a malicious activity judging unit for judging whether or not the malicious activity has occurred.

Description

Store Management Server {STORE MANAGEMENT SERVER}

The present disclosure relates to a shop management server, and more specifically, to a shop management server that determines a cheating behavior.

Generally, a POS terminal (or POS system) is an abbreviation of a point of sale terminal, which means a point-of-sale information management system. More specifically, it automatically collects and records data on sales management by electronic cash register function and computer function at the time of selling merchandise, analyzes and processes various necessary data, and reflects directly or indirectly to the store operation, Means a terminal device that prevents loss.

In order to perform such a role, the POS terminal has a register function such as a cash register, a file function for temporarily storing data, and an online function for connecting and transmitting data at a point of sale to a host device (host computer, etc.).

These force terminals are rapidly spreading to the necessity of prompt and accurate identification of consumer trends (commodity management, customer management) in accordance with changes in the market environment, such as intense competition among companies and diversification of commodity services due to structural changes of consumers .

In addition, these POS terminals are frequently used in shops providing restaurants and services. In the case of receiving orders and receiving cash payments, employees often confiscate cash without putting them into cash storage boxes. There is no countermeasure.

Korean Patent Publication No. KR19950013877A discloses a housing carrying device and a force system having a self scanning function in order to prevent an illegal act of carrying a product without reading the product code.

However, this method has a problem in that it can not grasp the discounts, points accumulation, and cheating related to the settlement which the staff voluntarily makes in the store. It is impossible to determine whether the weight of the purchased product purchased by the customer matches the weight input to the force terminal or the server.

Accordingly, there is a need in the art for a shop management server that can selectively determine the fraudulent behavior of employees by selectively using a motion sensor, a photographing means, and a weight sensor.

This disclosure is devised in response to the background art described above, and is intended to provide a shop management server for judging a cheating behavior.

A shop management server is disclosed according to an embodiment of the present disclosure for realizing the above-mentioned problems. The shop management server includes event information related to an event from a POS terminal and an employee area in which the employee is located from the motion detection sensor, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, A network connection unit for receiving the motion information related to the operation in the customer area, the customer area being a predetermined area outside the counterpart, and a controller for determining whether or not the event is fraudulent based on the event information and the motion information And a malicious activity determining unit.

Alternatively, if the motion of the customer area is not detected at the time when the event occurs based on the event information and the motion information, the irregularity determination unit may determine that the event is an illegal act of the employee.

Alternatively, the event may include at least one of a payment, a payment cancellation, a product return, a discount, opening / closing of the cash drawer, point accumulation and cash receipt issuance.

Alternatively, the network connection further comprises a weight sensor from the force terminal, wherein the weight sensor is located at least in part of the counter, and the weight of the purchased product to be purchased by the customer is measured. And if the total measured weight is different from the total reference weight, the malicious activity determining unit may determine that the event is a malicious activity suspicious event.

Alternatively, the illegality determination unit may determine the total reference weight by summing reference weights of each of the purchased products stored in the POS terminal or the shop management server based on the item information included in the event information .

A shop management server is disclosed according to another embodiment of the present disclosure. The shop management server includes event information related to the event from the POS terminal and an employee area in which the employee is located from the photographing means, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, A network connection unit for receiving image information relating to a customer area, the customer area being a predetermined area outside the sales floor, and a network connection unit for determining whether the event is a fraudulent activity based on the event information and the image information Section.

Alternatively, the network connection further comprises a weight sensor from the force terminal, wherein the weight sensor is located at least in part of the counter, and the weight of the purchased product to be purchased by the customer is measured. And if the total measured weight measured through the weight sensor is different from the total reference weight, the malicious activity determining unit may determine that the event is a malicious activity suspicion event, The image information may be analyzed to determine whether it is a fraudulent activity.

Alternatively, the fraud detection unit may determine that the purchased product includes a predetermined number of times or more of the fraudulent activity, which is determined to be not fraudulent, as a reference weight error product.

Alternatively, the photographing means may include at least one photographing module for photographing at least a part of the shop, and a storage module for storing images photographed by the at least one photographing module, wherein at least one of the at least one photographing module And the illegality judging section judges, for the suspicion event of cheating, an item and a quantity of the purchased product, which are identified in the image of at least a part of the photographed sale counter, It is possible to judge whether or not the fraudulent suspicion event is fraudulent by comparing with the quantity information.

A POS terminal according to an embodiment of the present disclosure is disclosed. The POS terminal includes an event information generating module for generating event information, an employee area in which the employee is located, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, and a customer area in which the customer is located, A motion detection sensor for generating motion information related to an operation in a predetermined area outside the sales counter, a motion sensor for detecting movement of the article, the motion sensor being located at least in part of the sales counter, A weight sensor for generating a measured weight, and a fraud determination module for determining whether the event is fraudulent based on the event information, the motion information, and the total measured weight.

A POS terminal according to another embodiment of the present disclosure is disclosed. The POS terminal includes an event information generating module for generating event information, an employee area in which the employee is located, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, and a customer area in which the customer is located, An image capturing means for generating image information related to a predetermined area outside the salescounter, an image capturing unit for generating image information related to the purchased product, the image capturing unit generating at least a part of the salescounter, And a malicious activity determining module that determines whether the event is a malicious action based on the event information, the image information, and the total measured weight.

Alternatively, the photographing means may include at least one photographing module for photographing at least a part of the shop, and a storage module for storing images photographed by the at least one photographing module, wherein at least one of the at least one photographing module And the illegality determination module identifies the item and the quantity of the purchased product identified in the image of at least a part of the photographed sled for the suspicion event of the illegality with the item included in the event information And quantity information to determine whether the event is a fraudulent activity.

The present disclosure can provide a shop management server capable of judging a cheating behavior.

1 is a block diagram of a shop management server according to an embodiment of the present disclosure.
2 is a diagram showing a relationship of a shop management server according to an embodiment of the present disclosure;
3 is a network communication diagram of a weight sensor, a force terminal, and a store management server according to an embodiment of the present disclosure;
4 is an exemplary view of a store according to one embodiment of the present disclosure;
5 is a POS terminal according to the first embodiment of the present disclosure.
6 is a force terminal according to the second embodiment of the present disclosure.

Various embodiments are now described with reference to the drawings, wherein like reference numerals are used throughout the drawings to refer to like elements. In this specification, various explanations are given in order to provide an understanding of the present disclosure. It will be apparent, however, that such embodiments may be practiced without these specific details. In other instances, well-known structures and devices are provided in block diagram form in order to facilitate describing the embodiments.

The terms "component," "module," system, "and the like, as used herein, refer to a computer-related entity, hardware, firmware, software, combination of software and hardware, or execution of software. For example, a component may be, but is not limited to, a process executing on a processor, a processor, an object, an executing thread, a program, and / or a computer. For example, both an application running on a computing device and a computing device may be a component. One or more components may reside within a processor and / or thread of execution, one component may be localized within one computer, or it may be distributed between two or more computers. Further, such components may execute from various computer readable media having various data structures stored therein. The components may be, for example, a signal (e.g., a local system, data from one component interacting with another component in a distributed system, and / or data over a network, such as the Internet, Lt; RTI ID = 0.0 > and / or < / RTI >

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Thus, the present disclosure should not be construed as limited to the embodiments set forth herein, but is to be accorded the widest scope consistent with the principles and novel features presented herein.

1 is a block diagram of a shop management server according to an embodiment of the present disclosure.

According to one embodiment of the present disclosure, the shop management server 100 may include a network connection unit 110 and a fraud determination unit 130. [

The network connection unit 110 receives event information related to an event from the POS terminal 200 and motion information related to an operation in the employee area 10 and the customer area 20 in which the employee is located from the motion detection sensor 300 Lt; / RTI >

An event in accordance with an embodiment of the present disclosure may include any event that the clerk may perform on the force terminal. For example, an event may include at least one of a payment, a payment cancellation, a product return, a discount, opening / closing of a cash drawer, point accumulation and cash receipt issuance. The description of the above-described event is only an example, and the present disclosure is not limited thereto.

More specifically, the event information may include information consisting of one or more items related to a financial transaction that occurs through the force terminal 200. The event information may be generated on the force terminal 200 and transmitted to the store management server 100 through the network 600. [

In addition, the event information may include general information related to the event and object information related to at least one of the customer and the employee related to the event. Here, the general information may include information on the event itself, time of occurrence (for example, settlement date and time), and product information of the event. For example, the product information may include identification information, quantity information, weight information, price information, discount information, and gift information including a barcode and a product code of the purchased product when the event is a purchase and payment. The description of the above-described product information is only an example, and the present disclosure is not limited thereto. Also, the target information related to at least one of the customer and the employee here may include information related to the customer's payment means, signature, membership and cash receipt issuance, etc., and may include employee identification information, working hours, And may include relevant information.

The network connection unit 110 according to an embodiment of the present disclosure may receive movement information related to an operation in the employee area 10 and the customer area 20 in which the employee is located from the motion detection sensor 300 .

Here, the employee area 10 may be configured as a predetermined area inside the sales counter where the force terminal 200 is installed. More specifically, the staff area 10 may include a predetermined space in a direction in which the force terminal can be operated based on the position where the force terminal 200 is installed. That is, the employee area 10 may include an employee space using the force terminal 200. [

Here, the customer area 20 may be configured as a predetermined area outside the sales floor. More specifically, the customer area 20 may include a predetermined space in a direction in which the force terminal can not be operated based on the position where the force terminal 200 is installed. That is, the customer area 20 may be a space other than the employee area 10 in the vicinity of the force terminal 200.

For example, as shown in FIG. 2, the employee area 10 may include a space of 2 m * 1 m in the direction in which the force terminal 200 can be operated, And may include a space of 2m * 1m which is present on the opposite side of the employee area 10 and can not operate the force terminal 200. [ The descriptions and numerical values of the above-described employee area and customer area are only examples, and the present disclosure is not limited thereto.

The network connection unit 110 according to an embodiment of the present disclosure may receive motion information related to operations in the employee area 10 and the customer area 20 from the motion detection sensor 300. [

More specifically, the motion detection sensor 300 can detect presence and motion of a person in the employee area and the customer area. The motion detection sensor 300 may generate motion information on the detected existence and motion, and may transmit the motion information to the network connection unit 110 of the shop management server 100.

For example, the motion sensor 300 may be an infrared sensor disposed at the upper end of the force terminal 200. In addition, the infrared sensor can sense people and movements existing in the direction of the employee area 10 and the customer area 20. [ The network connection unit 110 may receive motion information including a sensed value of an infrared sensor, such as a motion detected in an employee area and a customer area. The description of the above-described motion detection sensor is merely an example, and the present disclosure is not limited thereto. For example, the motion detection sensor may be one of a geomagnetism sensor, an acceleration sensor, and an ultrasonic sensor, or may be a composite sensor composed of a combination of one or more sensors.

The network connection unit 110 according to an embodiment of the present disclosure may receive event information from the force terminal 200 and receive motion information from the motion detection sensor 300. [ More specifically, the network connection unit can communicate with the force terminal 200 and the motion detection sensor 300 via the network 600. In addition, according to one embodiment of the present disclosure, the network connection unit 110 can communicate with the weight sensor 500 and the photographing means 400, respectively.

Hereinafter, the network 600 will be described. The network need not be a single network. The network may be a LAN, a WAN, an intranet or the Internet, or a combination thereof, that enables communication between a plurality of computing devices. Moreover, the network 600 may include a wireless, wired, or wireless wired connection. In addition, technologies such as VPN can be used to enhance security.

More specifically, the network 600 presented herein may be implemented on a public switched telephone network (PSTN), x Digital Subscriber Line (xDSL), Rate Adaptive DSL (RADSL), Multi Rate DSL (MDSL) DSL), Fibers to the home (FTTH), Power Line Communication (PLC), Universal Asymmetric DSL (UADSL), High Bit Rate DSL and Local Area Network (LAN).

In addition, the network 600 may be a CDMA (Code Division Multiple Access), a TDMA (Time Division Multiple Access), an FDMA (Frequency Division Multiple Access), an OFDMA (Orthogonal Frequency Division Multiple Access) FDMA) and other systems.

The network 600 according to one embodiment of the present disclosure may be configured without regard to its communication mode such as wired and wireless, and may be implemented in various forms such as a personal area network (PAN), a wide area network (WAN) And a communication network. In addition, the network may be a known World Wide Web (WWW), and may be an infrared (IrDA), a radio frequency identification (RFID), an ultra wideband (UWB), a ZigBee, a beacon, ) May also be used.

The illegality determination unit 130 according to an embodiment of the present disclosure can determine whether an event is a fraud or not based on event information and motion information.

Here, the fraudulent action may include an event generated through the force terminal 200 when none of the employees located in the employee area 10 exists in the customer area 20. [ In other words, cheating can mean an event that an employee created without customer intervention.

In addition, the cheating behavior according to an embodiment of the present disclosure may include an event when the total weight measured by the weight sensor 500 is different from the total reference weight determined by the cheating behavior determination unit 130 based on the event information . That is, the cheating may mean an event in which the purchased product purchased by the customer does not match the purchased product on the event information.

Accordingly, the shop management server 100 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the shop management server 100 can derive products different from the reference weight stored in advance through the determination of suspicious fraud events, so that the product can be consistently provided to the customer.

2 is a diagram showing a relationship of a shop management server according to an embodiment of the present disclosure;

The illegality determination unit 130 according to an embodiment of the present disclosure can determine whether an event is an illegal action based on event information and motion information.

More specifically, the network connection unit 110 receives event information from the force terminal 200, receives motion information from the motion detection sensor 300, and provides the motion information to the irregularity determination unit 130. The irregularity determination unit 130 can determine whether a person exists in the employee area 10 and the customer area 20 at the time when the event is generated based on the event information and the motion information. Also, if the cheating behavior determiner fails to detect the presence or motion of a person in the movement information of the customer area 20 at the time of event generation, the cheating behavior determiner may determine the event as a cheating behavior.

For example, the network connection unit 110 can receive event information corresponding to "product return" from the force terminal 200. [ In addition, the network connection unit 110 receives the motion information that "the person exists in the staff area 10" and "the person does not exist in the client area 20" from the infrared sensor which is the motion detection sensor 300 . Therefore, the fraud detection unit 130 can determine that the event "return product" corresponds to an irregularity created by an employee without a customer. The description of the above-mentioned illegal act judgment is merely an example, and the present disclosure is not limited thereto. As another example, the illegality determination unit 130 may determine that the event is related to the event that the employee is not related to the customer, based on the motion information " no person exists in the customer area 20 " It can be judged to be an illegal act performed.

More specifically, the imaging means 400 may include one or more imaging modules 410 and a storage module 420. Here, the photographing module 410 can photograph the existence and operation of a person in the employee area and the customer area. In addition, the photographing module 410 may store the image information of the captured employee area and the customer area on the storage module 420. [0054] FIG. The storage module 420 can transmit the image information to the network connection unit 110 of the shop management server 100. [ The photographing module 410 and the storage module 420 may be present together as one device or may exist separately.

For example, the photographing means 400 may be a CCTV disposed inside the store. In addition, the CCTV may include a photographing module 410 and a storage module 420 as a single device. Accordingly, the CCTV can photograph people and movements in the direction of the employee area 10 and the customer area 20 via the photographing module. Also, the CCTV can store the image information taken by the photographing module through the storage module. In this regard, the network connection unit 110 can receive image information photographed in the employee area and the customer area. The above-described description of the photographing means is merely an example, and the present disclosure is not limited thereto. For example, the photographing means 400 may include one of an IP camera, a camera of a POS terminal, and an object recognition camera as a photographing module 410, and may be a device for generating image information by combining images of the photographing modules Lt; / RTI >

Accordingly, the shop management server 100 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the shop management server 100 can derive products different from the reference weight stored in advance through the determination of suspicious fraud events, so that the product can be consistently provided to the customer.

3 is a network communication diagram of a weight sensor, a force terminal, and a store management server according to an embodiment of the present disclosure;

The network connection 110 according to one embodiment of the present disclosure may receive the total measured weight of the purchased product measured via the weight sensor 500 from the force terminal. Here, the weight sensor 500 is located in at least a portion of the counter, and the customer can measure the weight of the purchased product to be purchased.

More specifically, the weight sensor 500 can measure the weight of the product placed on a predetermined area on the sales floor. Here, the predetermined zone may be disposed in a part of the counterpart where the force terminal 200 is installed. Accordingly, the weight sensor 500 can measure the total weight of the purchased products and generate the total measured weight when the customer purchases the purchased product to a predetermined zone.

In addition, the weight sensor 500 according to one embodiment of the present disclosure may transmit the total measured weight measured by the force terminal 200. [ The network connection unit 110 may receive the total measured weight through communication with the force terminal 200. [ Here, the weight sensor 500, the force terminal 200, and the network connection unit 110 can perform wire / wireless communication through the network 600, respectively.

For example, the weight sensor 500 may be an electronic balance that measures the weight of products placed on a plane including an area of 1 meter * 1 meter of the counterpart. The electronic scales can communicate with the force terminal 200 via Wi-Fi. Therefore, the weight of the "carbonated beverage and hamburger" that the customer put on the sales floor to purchase can be measured to generate a total measured weight of "750 g" and transmitted to the force terminal. Also, the force terminal can communicate with the network connection unit 110 through a wireless LAN. That is, the network connection unit 110 can receive the total measured weight of "750g " measured from the electronic balance from the force terminal, such as event information for" settlement ". The description of the above-mentioned weight sensor is merely an example, and the present disclosure is not limited thereto.

If the total measured weight differs from the total reference weight, the illegality determination unit 130 according to an embodiment of the present disclosure may determine that the event is an illegal behavior suspicious event.

More specifically, the illegality determination unit 130 adds up the reference weights by product stored in the POS terminal 200 or the shop management server 100 based on the item information included in the event information, and determines the total reference weight . In addition, the fraud detection unit 130 may compare the total measured weight provided from the network connection unit 110 with the total reference weight. If the difference between the total measured weight and the total reference weight is greater than or equal to an error within a predetermined range, the fraud determination unit may determine that the event is a fraudulent suspicious event.

Here, suspicion fraud events are likely to be fraudulent, but may be uncertain. Therefore, revalidation of the suspicion event of cheating can be additionally performed. For example, an event determined to be a fraudulent suspicious event is automatically stored on the shop management server 100, and at least one of event information, weight information, motion information, and image information is transmitted to a user terminal having a store- Lt; / RTI > In another example, the fraud detection unit 130 can re-check whether or not the product items and the quantity included in the event information are correctly placed on the counter, based on the image information photographed through the photographing means 400. [ Reconsideration of the aforementioned suspicion event of cheating is only an example, and the present disclosure is not limited thereto.

For example, the total measured weight received from the force terminal 200 by the network connection unit 110 is " 1,120 g ", and the event information may include items of category, product item, and quantity. In addition, each item of event information may include information such as "category-payment" and "product item-two 500ml of carbonated water and one lemon ". The irregularity determination unit 130 receives from the force terminal 200 a criterion of "reference weight of 500 ml of carbonated water -550 g" and "reference weight of lemon 1 50 g" based on the item information and the quantity contained in the event information And the total weight can be determined as "1150 g". Also, the predetermined error may be 50 g on the fraud detection unit 130. In this case, since the difference between the total measured weight "1120g " and the total reference weight" 1150g "exists within the error range, the fraud determination unit 130 determines that the event is a normal event have. In another example, when the predetermined error is 20 g on the fraud determination unit 130, the fraud determination unit determines that the event is a fraudulent doubt event because the difference between the total measured weight and the total reference weight is greater than the error range . The above description of the determination of the cheating behavior based on the weight is only an example, and the disclosure is not limited thereto.

In addition, the fraud detection unit 130 according to an embodiment of the present disclosure may determine that the purchased product including the predetermined number of times or more of the fraudulent activity is not a fraudulent activity, as a reference weighted error product.

More specifically, the fraud detection unit 130 may store the item information (for example, the identification information and the item code) included in the event information determined to be a fraudulent suspicious event. Also, the fraud detection unit 130 can confirm the item information included in the event information corresponding to the suspicious fraud event determined to be not fraudulent through the revalidation. Therefore, the irregularity determination unit 130 determines whether or not an item that is determined to be a non-irregularity through a re-check of a predetermined number or more among the items included in the irregularity suspicion event based on the error between the total measured weight and the total reference weight, It can be judged as an error product. Here, the reference weight error product may include a product in which the stored reference weight of the item is different from the actual product weight.

For example, the fraud detection unit 130 may generate fraud fraud events 30 times during the month of September, 2016. The 20 event information of the suspicion event may include a product whose item information is "potato chip ". In addition, the fraud detection unit 130 may provide event information, weight information, and image information for suspicious fraud events to the proprietor through the store management application, and receives feedback including refusal of fraudulent behavior from the storefront . The feedback received here may include the result of reaffirmation that 20 suspected fraud events, including "potato spit" products, among 30 suspected fraud events are not fraudulent. In this case, based on the received feedback, the fraud detection unit 130 may determine that the "potato chip" product is the item that caused the error 10 or more times previously set. Therefore, the fraud detection unit 130 may determine that the "potato chip" is the reference weight error product. That is, the fraud determination unit may determine that the reference weight of the "potato chip" stored in the POS terminal 200 or the shop management server 100 is erroneously stored and that the event is misidentified as a fraud suspect event. The description of the reference weight error product judgment described above is merely an example, and the present disclosure is not limited thereto.

Accordingly, the shop management server 100 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the shop management server 100 can derive products different from the reference weight stored in advance through the determination of suspicious fraud events, so that the product can be consistently provided to the customer.

4 is an exemplary view of a store according to one embodiment of the present disclosure;

The shop management server 100 according to an embodiment of the present disclosure may include a network connection unit 110 and a fraud detection unit 130. 4, the shop management server 100 manages a shop constituted by the force terminal 200, the motion detection sensor 300, the photographing means 400, and the weight sensor 500 .

More specifically, the network connection unit 110 may receive the event information and the total measured weight measured by the weight sensor 500 through the force terminal 200. [ The network connection unit 110 may receive the motion information generated from the motion detection sensor 300 and the image information generated by the imaging unit 400. Then, the fraud detection unit 130 may determine whether the event is fraudulent based on the received event information, total measured weight, motion information, and image information. In addition, the fraud detection unit 130 may determine that the fraudulent activity is a fraudulent activity because the fraudulent activity may exist but the fraudulent activity is determined to be fraudulent.

The fraud detection unit 130 according to an embodiment of the present disclosure can re-check whether fraudulent activity is suspected based on the image information photographed through the photographing unit 400. [ More specifically, if the irregularity determination unit 130 determines that the difference between the total measured weight and the total reference weight is equal to or greater than a predetermined error range, the event may be determined as a suspicious activity. In addition, the illegality determination unit 130 can determine whether the product information corresponding to the event information and the product corresponding to the quantity are located on the sales floor, based on the image information received from the photographing means 400.

More specifically, the network connection unit 110 can receive a plurality of images from the photographing means 400 including one or more photographing modules. In addition, the fraud detection unit 130 can identify products existing on the sales floor by considering the plurality of images in a complex manner. Also, the fraud determination unit may determine whether the identified product matches the item information and the quantity included in the event information. Accordingly, the illegality determination unit 130 may perform re-verification to determine whether the suspicious activity is an illegal action, based on whether the identified product and the event information match the product.

For example, the photographing means 400 may include two CCTV cameras for photographing the inside of the shop, and one POS terminal camera for photographing the top of the sales kiosk, respectively, as three photographing modules 410. In addition, the image photographed by the three photographing modules 410 can be stored as image information in the public drive, which is the storage module 420, over the wireless network. The fraud determination unit 130 may determine that the event is a fraudulent suspicious event because the total measured weight and the gross reference weight measured by the weight sensor 500 located at the counter are different from each other by an allowable error range or more. In this case, the fraud determiner 130 may perform the revalidation to determine whether the suspicious fraud event is fraudulent. Accordingly, the fraud detection unit 130 can identify "one soba loaf, one peanut cream bread and one pack of milk 200 ml" in the image information on the upper surface of the counter at the time when the event occurred. The irregularity judging unit 130 judges that the identified products match the item information of the product included in the event information and the quantity "one soba bread, one peanut cream bread and one 200 ml milk" It can be determined that the suspicious action event is not a cheating action. The recounting of the above-mentioned illegal suspicion event is only an example, and the disclosure is not limited thereto.

In addition, at least one of the one or more imaging modules 410 in accordance with one embodiment of the present disclosure may be configured to photograph at least a portion of the top surface of the merchant bar. For example, one shooting module may be disposed at the top of the force terminal 200. In addition, the photographing module may be arranged to photograph a predetermined range in which a customer purchases a purchased product. The arrangement of the above-described photographing module is only an example, and the present disclosure is not limited thereto.

In addition, the illegality determination unit 130 according to an embodiment of the present disclosure can be configured to identify a product existing on the sales floor in the image information received from the photographing means 400. [ More specifically, the fraud detection unit 130 may image the image information photographed at least a part of the upper surface of the sales kiosk to identify a product existing on the sales kiosk. The irregularity judging unit 130 compares the item and the quantity of the purchased product identified in the image of at least a part of the photographed sales counter with the item and the quantity information included in the event information to determine whether the event is a fraud Can be determined. Here, identification of the purchased product can be performed through image processing. The image processing is performed such that the fraud determination module 230 identifies at least one of outline, form, trademark, product name, and bar code identified in the image for at least a part of the sales floor, , Shape, trademark, product name, and barcode of the product stored in the memory card.

Accordingly, the shop management server 100 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the shop management server 100 can derive products different from the reference weight stored in advance through the determination of suspicious fraud events, so that the product can be consistently provided to the customer.

Hereinafter, the POS terminals according to the first, second, and third embodiments of the present disclosure will be described, respectively.

5 is a POS terminal according to the first embodiment of the present disclosure.

The force terminal 200 according to the first embodiment of the present invention may include an event information generation module 210, an irregularity determination module 230, a weight sensor 250 and a motion detection sensor 270.

The event information generation module 210 may generate event information composed of one or more items related to financial transactions generated through the force terminal 200. [ More specifically, the event information generation module 210 generates an event including at least one of settlement, payment cancellation, product return, discount, opening / closing of cash storage, point accumulation and cash receipt issuance, (200).

In addition, the event information may include general information related to the event and object information related to at least one of the customer and the employee related to the event. Here, the general information may include information on the event itself, time of occurrence (for example, settlement date and time), and product information of the event. And wherein the object information relating to at least one of the customer and the employee may include information relating to the customer's payment instrument, signature, membership and cash receipt issuance, etc. and may be associated with employee identification information, working hours, Information. The description of the above-described event information is only an example, and the present disclosure is not limited thereto.

The fraud detection module 230 may determine whether the event is a fraudulent activity based on the event information, the motion information, and the total measured weight.

The irregularity determination module 230 according to an embodiment of the present disclosure can determine whether an event is a fraudulent activity based on event information and motion information. More specifically, the fraud detection module 230 may receive the event information from the event information generation module 210 and receive the motion information from the motion detection sensor 270. The irregularity determination module 230 can determine whether a person is present in the employee area 10 and the customer area 20 at the time when the event is generated based on the event information and the motion information. In addition, if the fraud detection module can not detect the presence or motion of a person in the movement information of the customer area 20 at the time of event generation, the fraud detection module may determine the event as fraud.

In addition, if the gross weight measured by the weight sensor 250 is different from the total gross weight, the cheating behavior determination module 230 according to an embodiment of the present invention can determine the event as a suspicious activity event. More specifically, the fraud detection module 230 can determine the total reference weight by summing the reference weights of the products stored in the force terminal 200 based on the item information included in the event information. The irregularity determination module 230 may compare the total measured weight provided from the weight sensor 250 with the total reference weight. If the difference between the total measured weight and the total reference weight is greater than or equal to the error within a predetermined range, the event may be determined as a suspicious activity event based on the comparison result of the fraud detection module.

The motion detection sensor 270 can generate motion information related to an operation in the employee area 10 where the employee is located and in the customer area 20 where the customer is located.

More specifically, the motion detection sensor 270 can detect presence and operation of a person in the employee area and the customer area. The motion detection sensor 270 may generate motion information on the detected presence and motion.

Here, the employee area 10 may be configured as a predetermined area inside the sales counter where the force terminal 200 is installed. More specifically, the staff area 10 may include a predetermined space in a direction in which the force terminal can be operated based on the position where the force terminal 200 is installed. That is, the employee area 10 may include an employee space using the force terminal 200. [

Here, the customer area 20 may be configured as a predetermined area outside the sales floor. More specifically, the customer area 20 may include a predetermined space in a direction in which the force terminal can not be operated based on the position where the force terminal 200 is installed. That is, the customer area 20 may be a space other than the employee area 10 in the vicinity of the force terminal 200.

The weight sensor 250 may be located in at least a portion of the kiosk and may measure the weight of the purchased product that the customer intends to purchase to generate the total measured weight of the purchased product. Here, the weight sensor 250 is located in at least a portion of the kiosk, and can measure the weight of the purchased product that the customer intends to purchase.

More specifically, the weight sensor 250 may measure the weight of the product placed on a predetermined area on the counter. Here, the predetermined zone may be disposed in a part of the counterpart where the force terminal 200 is installed. Accordingly, the weight sensor 250 can measure the total weight of the purchased products to generate the total measured weight when the customer purchases the purchased product to a predetermined zone.

Accordingly, the force terminal 200 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the force terminal 200 according to an embodiment of the present disclosure can derive a product different from the reference weight stored in advance through the determination of a suspicious activity event, and can consistently provide the customer with a fixed quantity of product.

6 is a force terminal according to the second embodiment of the present disclosure.

The force terminal 200 according to the second embodiment of the present invention may include an event information generation module 210, an irregularity determination module 230, a weight sensor 250 and a photographing means 290.

Here, the description of the event information generation module and the weight sensor has been described above with reference to FIG. 5. Therefore, only the fraud detection module, the photographing means, and the third embodiment will be described below.

The irregularity determination module 230 may determine whether the event is a fraudulent activity based on the event information, the image information, and the total measured weight.

The cheating behavior determination module 230 according to an embodiment of the present disclosure can determine whether an event is a cheating behavior based on the event information and the photographing information. More specifically, the fraud detection module 230 may receive the event information from the event information generation module 210 and receive the image information from the photographing means 290. [ The cheating behavior determination module 230 can determine whether a person exists in the employee area 10 and the customer area 20 at the time when the event is generated based on the event information and the image information. In addition, if the fraud detection module 230 fails to detect the presence or movement of a person in the movement information of the customer area 20 at the time of event generation, the fraud detection module 230 may determine that the event is fraudulent.

In addition, if the gross weight measured by the weight sensor 250 is different from the total gross weight, the cheating behavior determination module 230 according to an embodiment of the present invention can determine the event as a suspicious activity event. More specifically, the fraud detection module 230 can determine the total reference weight by summing the reference weights of the products stored in the force terminal 200 based on the item information included in the event information. The irregularity determination module 230 may compare the total measured weight provided from the weight sensor 250 with the total reference weight. If the difference between the total measured weight and the total reference weight is greater than or equal to the error within a predetermined range, the event may be determined as a suspicious activity event based on the comparison result of the fraud detection module.

The photographing means 290 can generate image information related to the employee area 10 where the staff is located and the customer area 20 where the customer is located.

More specifically, the imaging means 290 may include one or more imaging modules 291 and a storage module 292. Here, the photographing module 291 can photograph at least a part of the shop. More specifically, the presence and operation of a person can be photographed in the employee area 10 and the customer area 20. In addition, the photographing module 291 may store image information on the photographed employee area and the customer area on the storage module 292. The shooting module 291 and the storage module 292 described above may exist together as a single device, or may exist separately (for example, an object recognition camera and a common drive).

Also, at least one of the one or more photographing modules 291 according to one embodiment of the present disclosure may be configured to photograph at least a portion of the top surface of the merchant bar. For example, one shooting module may be disposed at the top of the force terminal 200. In addition, the photographing module may be arranged to photograph a predetermined range in which a customer purchases a purchased product. The arrangement of the above-described photographing module is only an example, and the present disclosure is not limited thereto.

In addition, the fraud detection module 230 according to an embodiment of the present disclosure may be configured to identify a product existing on the sales floor in the image information received from the photographing means. More specifically, the fraud detection module 230 may image the image information photographed on at least a part of the upper surface of the counter so as to identify a product existing on the counter. The irregularity determination module 230 compares the item and the quantity of the purchased product identified in the image with respect to at least a part of the photographed sliver with the item and quantity information included in the event information to determine whether the event is a fraud Can be determined. Here, identification of the purchased product can be performed through image processing. The image processing is performed such that the fraud determination module 230 identifies at least one of outline, form, trademark, product name, and bar code identified in the image for at least a part of the sales floor, , Shape, trademark, product name, and barcode of the product stored in the memory card.

The force terminal 200 according to the third embodiment of the present disclosure includes an event information generation module 210, an irregularity determination module 230, a weight sensor 250, a motion detection sensor 270, ).

Accordingly, the fraud detection module 230 according to an embodiment of the present disclosure can determine whether the event is fraudulent based on the event information, the motion information, the image information, and the total measured weight.

More specifically, the fraud detection module 230 may determine whether the event is a fraudulent activity based on the event information, the motion information, and the image information. More specifically, the fraud detection module 230 receives event information from the event information generation module 210, receives motion information from the motion detection sensor 270, and receives image information from the imaging unit 290 can do. The irregularity determination module 230 may comprehensively consider the event information, the motion information, and the image information to determine whether a person is present in the employee area 10 and the customer area 20 at the time the event is generated have. In addition, the irregularity determination module 230 may determine that the event is a fraudulent activity when the presence or movement of a person is not detected in the motion information and the image information of the customer area 20 at the time of event generation.

In addition, if the gross weight measured by the weight sensor 250 is different from the total gross weight, the cheating behavior determination module 230 according to an embodiment of the present invention can determine the event as a suspicious activity event. More specifically, the fraud detection module 230 can determine the total reference weight by summing the reference weights of the products stored in the force terminal 200 based on the item information included in the event information. The irregularity determination module 230 may compare the total measured weight provided from the weight sensor 250 with the total reference weight. If the difference between the total measured weight and the total reference weight is greater than or equal to the error within a predetermined range, the event may be determined as a suspicious activity event based on the comparison result of the fraud detection module.

The fraud detection module 230 according to an embodiment of the present disclosure can re-check whether fraudulent activity is suspected on the basis of the image information photographed through the photographing means 290. [ More specifically, if the irregularity determination module 230 determines that the difference between the total measured weight and the total reference weight is equal to or greater than a predetermined error range, the event may be determined as a suspicious activity event. In addition, the fraud detection module 230 can determine whether the product information corresponding to the event information and the product corresponding to the quantity are located on the sales floor, based on the image information received from the photographing means 290.

More specifically, the fraud detection module 230 can receive a plurality of images from the photographing means 290 including one or more photographing modules. Then, the fraud detection module 230 can identify products existing on the sales floor by considering the plurality of images in a complex manner. In addition, the fraud determination module 230 may determine whether the identified product matches the item information and the quantity included in the event information. Therefore, the irregularity determination module 230 may perform revalidation to determine whether the fraudulent suspicious event is a fraudulent activity based on whether the identified product and the product of the event information match each other.

Accordingly, the force terminal 200 according to an embodiment of the present disclosure can automatically determine that the financial transaction is voluntary by the employee in the absence of a customer. In addition, it is possible to detect fraud that may occur by deliberately discrepancies between the purchased product purchased by the customer and the product of the event. Accordingly, it is possible to prevent fraudulent activities of the employees and to grasp the subject of the fraud that has occurred, which can be helpful for the operation of the stores.

In addition, the force terminal 200 according to an embodiment of the present disclosure can derive a product different from the reference weight stored in advance through the determination of a suspicious activity event, and can consistently provide the customer with a fixed quantity of product.

Those of ordinary skill in the art will understand that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced in the above description may include voltages, currents, electromagnetic waves, magnetic fields or particles, Particles or particles, or any combination thereof.

Those skilled in the art will appreciate that the various illustrative logical blocks, modules, processors, means, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented or performed with a specific purpose, (Which may be referred to herein as "software") or a combination of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the design constraints imposed on the particular application and the overall system. Those skilled in the art may implement the described functions in various ways for each particular application, but such implementation decisions should not be interpreted as being outside the scope of the present disclosure.

The various embodiments presented herein may be implemented as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques. The term "article of manufacture" includes a computer program, carrier, or media accessible from any computer-readable device. For example, the computer-readable medium can be a magnetic storage device (e.g., a hard disk, a floppy disk, a magnetic strip, etc.), an optical disk (e.g., CD, DVD, etc.), a smart card, But are not limited to, devices (e. G., EEPROM, cards, sticks, key drives, etc.). The various storage media presented herein also include one or more devices and / or other machine-readable media for storing information. The term "machine-readable medium" includes, but is not limited to, a wireless channel and various other media capable of storing, holding, and / or transferring instruction (s) and / or data.

It will be appreciated that the particular order or hierarchy of steps in the presented processes is an example of exemplary approaches. It will be appreciated that, based on design priorities, a particular order or hierarchy of steps in the processes may be rearranged within the scope of this disclosure. The appended method claims provide elements of the various steps in a sample order, but are not meant to be limited to the specific order or hierarchy presented.

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Thus, the present disclosure should not be construed as limited to the embodiments set forth herein, but is to be accorded the widest scope consistent with the principles and novel features presented herein.

Claims (12)

In the store management server,
An event information related to an event from a POS terminal and an employee area in which the employee is located from the motion detection sensor, the employee area being a predetermined area inside the sales department in which the POS terminal is installed and a customer area in which the customer is located; A network connection unit for receiving motion information related to an operation in a customer area, which is a predetermined area outside the sales area; And
A malicious activity determining unit for determining whether the event is a malicious action based on the event information and the motion information;
Lt; / RTI >
Wherein the cheating behavior determination unit comprises:
Determining that the event is an illegal act of the employee when the movement of the customer area is not detected at a time when the event occurs based on the event information and the motion information;
Store management server.
delete The method according to claim 1,
In the event,
Including at least one of payment, payment cancellation, product return, discount, opening / closing of the cash drawer, point accumulation and cash receipt issuance,
Store management server.
In the store management server,
An event information related to an event from a POS terminal and an employee area in which the employee is located from the motion detection sensor, the employee area being a predetermined area inside the sales department in which the POS terminal is installed and a customer area in which the customer is located; A network connection unit for receiving motion information related to an operation in a customer area, which is a predetermined area outside the sales area; And
A malicious activity determining unit for determining whether the event is a malicious action based on the event information and the motion information;
Lt; / RTI >
The network connection unit may additionally
A weight sensor from the force terminal, the weight sensor being located at least in part of the counter, measuring the weight of the purchased product to be purchased by the customer;
The illegality determination unit may further include:
Determining that the event is a suspected fraud event if the total measured weight is different from the total reference weight;
Store management server.
5. The method of claim 4,
Wherein the cheating behavior determination unit comprises:
Wherein the total weight of each of the purchased products stored in the POS terminal or the shop management server is summed based on the item information included in the event information,
Store management server.
In the store management server,
Event information related to an event from a POS terminal and an employee area in which the employee is located from the photographing means, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, and a customer area in which the customer is located, A network connection unit for receiving image information relating to a predetermined area outside the salescounter; And
A malicious activity determining unit for determining whether the event is a malicious action based on the event information and the image information;
Lt; / RTI >
The network connection unit may additionally
A weight sensor from the force terminal, the weight sensor being located at least in part of the counter, measuring the weight of the purchased product to be purchased by the customer;
The illegality determination unit may further include:
Determining that the event is a suspicious activity event when the total measured weight measured by the weight sensor is different from the total reference weight and analyzing the video information with respect to the suspicious activity event doing,
Store management server.
delete The method according to claim 6,
Wherein the cheating behavior determination unit comprises:
Determining that the purchased product including a predetermined number of times or more of the suspicious events as the reference weighted error products,
Store management server.
The method according to claim 6,
Wherein,
At least one photographing module for photographing at least a part of the store; And
A storage module for storing images photographed by the at least one photographing module;
/ RTI >
Wherein at least one of the one or more photographing modules comprises:
And is configured to photograph at least a portion of the kiosk, and
Wherein the cheating behavior determination unit comprises:
Comparing the item and the quantity of the purchased product identified in the image of at least a part of the photographed sliver with the item and the quantity information included in the event information with respect to the suspicion event of cheating, To determine whether,
Store management server.
In a POS terminal,
An event information generation module for generating event information;
An employee area in which the employee is located, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, and a customer area in which the customer is located, and the customer area being a predetermined area outside the sales area A motion detection sensor for generating motion information related to the motion information;
A weight sensor located in at least a portion of the merchandising zone and measuring the weight of the purchased product to be purchased by the customer to generate a total measured weight of the purchased product; And
A malicious activity determining module that determines whether the event is a malicious action based on the event information, the motion information, and the total measured weight;
/ RTI >
Force terminal.
In a POS terminal,
An event information generation module for generating event information;
An employee area in which the employee is located, the employee area being a predetermined area inside the sales department in which the POS terminal is installed, and a customer area in which the customer is located, wherein the customer area is a predetermined area outside the sales area Photographing means for generating information;
A weight sensor located in at least a portion of the merchandising zone and measuring the weight of the purchased product to be purchased by the customer to generate a total measured weight of the purchased product; And
A malicious activity determining module that determines whether the event is a malicious action based on the event information, the image information, and the total measured weight;
/ RTI >
Force terminal.
12. The method of claim 11,
Wherein,
At least one photographing module for photographing at least a part of the store; And
A storage module for storing images photographed by the at least one photographing module;
/ RTI >
Wherein at least one of the one or more photographing modules comprises:
And is configured to photograph at least a portion of the kiosk, and
The malicious activity judging module,
Determining whether the event is a fraudulent activity by comparing an item and a quantity of the purchased product identified in the image of at least a part of the photographed sill for the fraud suspect event with the item and quantity information included in the event information; doing,
Force terminal.

Images