172results about "Alarm indicators" patented technology

An interactive shopping system, or smart cart. The system allows a user to select items in a store and complete a purchase without having to wait in lines or interact with store personnel. The system can have a container for holding products selected by at least one user, a user interface, a scanner in communication with the user interface, a processor in communication with the user interface, and a data storage comprising computer instructions executable by the processor. A user can select products, place them within the container, scan the products, and initiate a payment transaction to complete a purchase.

A hybrid checkout system that enables in-motion, multi-signal, bulk item identification is disclosed. The hybrid checkout system includes a computer vision apparatus that includes a plurality of cameras fixed at different locations relative to a conveyor belt. The conveyor belt includes markings that assist a user with item placement. RFID sensors are provided with the hybrid checkout apparatus. The cameras capture multiple images of items placed on the belt as the items are in motion. Each camera captures multiple images of the items captured from different vantage points as the items are in motion. In addition, the RFID sensors gather RFID data from RFID tags affixed to the items, as the items are in motion. The image data and other sensor data is provided as a multi-signal input to a machine learning model that is trained to recognize items and output item identifiers for the items. Pricing information corresponding to the item identifiers received from the model is determined and the items and their respective prices are added to a transaction record.

Consistent with disclosed embodiments, systems, methods, and computer readable media for conducting wireless transaction communications may be provided. Embodiments may include at least one processor configured to access a data structure containing identities of display areas and identities of products associated with the display areas; receive a request for information related to a particular display area in a vicinity of a mobile communications device; receive location information associated with a locus of the mobile communications device; perform a lookup in the data structure to identify the particular display area; retrieve product-related information associated with products in the particular display area; and transmit the product-related information to the mobile communications device.

The present disclosure utilizes image data analysis to improve the accuracy and integrity of item characteristic information in a database. During point-of-sale (POS) transactions, a security exception may be triggered when an item's stored characteristic information, such as weight or dimensions, is found to be inaccurate or missing. By capturing images of procedures performed to resolve security exceptions, the system can analyze aspects of the individual's appearance or behavior to determine if measurement procedures are performed correctly. Measures from properly performed measurement procedures can be used to selectively update the item's characteristic information in the system, improving the accuracy and integrity the characteristic information.

A system for monitoring shopping carts uses cameras to generate images of the carts moving in a store. In some implementations, cameras may additionally or alternatively be mounted to the shopping carts and configured to image cart contents. The system may use the collected image data, and / or other types of sensor data (such as the store location at which an item was added to the basket), to classify items detected in the shopping carts. For example, a trained machine learning model may classify item in a cart as “non-merchandise,”“high theft risk merchandise,”“electronics merchandise,” etc. When a shopping cart approaches a store exit without any indication of an associated payment transaction, the system may use the associated item classification data, optionally in combination with other data such as cart path data, to determine whether to execute an anti-theft action, such as locking a cart wheel or activating a store alarm. The system may also compare the classifications of cart contents to payment transaction records (or summaries thereof) to, e.g., detect underpayment events.

A method, computer program product, and computer system of artificial intelligence (AI) intervention to detect and mitigate an abnormality associated with an object moving during performance of a process. A trained recurrent neural network (RNN) determines, from sensor data, a probability (Pr1) that the abnormality existed at a first time, where Pr1 exceeds a threshold T1 and in response, an alternative generative adversarial network (AGAN) determines a probability (Pa1) that the abnormality existed at the first time. A score S1, which is computed as a function of Pr1 and Pa1, exceeds T1 and in response the RNN and the AGAN determines, from the senso data, a probability (Pr2) and a probability (Pa2), respectively, that the abnormality existed at a second time. A score S2, which is computed as a function of at least Pr2, Pa2, and (S1-T1), exceeds a threshold (T2) and in response, the abnormality is mitigated.

To detect a fraud in a self register.SOLUTION: An information processor acquires image data obtained by photographing a predetermined area in front of an accounting machine for registering and accounting a commodity by a user himself / herself. The information processor inputs the image data to a machine learning model trained so as to identify the commodity and a storage for storing the commodity, and acquires an output result. The information processor identifies an action for the commodity of the user using the commodity and the storage included in the output result.SELECTED DRAWING: Figure 5

There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

To prevent the occurrence of inconvenience to sales data processing when contents of captured camera images for detecting operational errors and malpractice are abnormal.SOLUTION: A sales data processor includes: a registration unit that performs registration processing to store information on articles to be transacted in a predetermined storage unit; a settlement unit that performs settlement processing for payment of the articles registered by the registration unit; an operation unit that accepts operations by an operator; an acquisition unit that acquires information obtained by analyzing an image taken by a camera of an area in which the operator is reflected, and indicating that the camera's image capturing direction is deviated from a reference; and a countermeasure unit that performs countermeasure processing to prevent unauthorized operation by the operator when the acquisition unit acquires the information.SELECTED DRAWING: Figure 1

An accounting processing apparatus according to an embodiment includes a registration screen display unit, a receiving unit, an accounting screen display unit, and an accounting processing unit. In a case of receiving input operation while a standby screen is being displayed, the registration screen display unit displays a product registration screen for receiving registration of first information related to a product to be purchased. The receiving unit receives second information related to the transaction of the product from the registration machine. In a case of receiving the second information, the accounting screen display unit displays an accounting screen for accounting processing for a product based on the second information. The accounting processing unit performs accounting processing on the product based on the first information received through the product registration screen or the second information received by the receiving unit.

A registration checking apparatus (2000) determines, for a target transaction, whether a relation between the number of times scanning actions are performed and the number of products registered as checkout targets satisfies a predetermined condition. The scanning action is detected by analyzing a video (12). The registration checking apparatus (2000) performs predetermined output processing when the relation does not satisfy the predetermined condition. The predetermined condition is a condition being satisfied when the number of registered products is equal to or greater than the number of detected scanning actions.

The invention discloses an information processing apparatus, a storage medium, and an information processing system, and aims to reduce the risk of false detection notification to a purchaser and effectively prevent or suppress unauthorized behaviors with effectiveness. The information processing apparatus includes a detection unit, an acquisition unit, and a notification unit. The detection unit detects a notification-requiring behavior of a purchaser with respect to the transaction processing device. The acquisition unit acquires the type of the behavior to be reported detected by the detection unit. The notification unit performs notification when a plurality of types of actions requiring notification are acquired by the acquisition unit during a transaction.

A store server for managing customer information received by a terminal in a store, includes a network interface connectable to the terminal and a first server that stores information about a customer, the information associating identification information of the customer with a state of a medium issued to the customer and that is usable for payment, and a processor configured to: acquire identification information of a customer from the terminal, control the interface to transmit the identification information to the first server, acquire from the first server the state of the medium issued to the customer, and determine whether the medium is in an unusable state, upon determining that the medium is not in a usable state, cause the terminal to accept the medium for payment, and upon determining that the medium is in the unusable state, cause the terminal to display a message indicating that the medium is unusable.

According to one or more embodiments, a settlement apparatus includes a processor. The processor detects a state of the settlement apparatus related to execution of settlement processing at the settlement apparatus using a plurality of settlement methods. The processor determines, based on the detected state of the settlement apparatus, whether there is a first settlement method among the plurality of settlement methods which cannot be executed at the settlement processing apparatus. The processor then notifies a customer of settlement method information indicating the first settlement method cannot be executed at the settlement processing or that another settlement method, other than the first settlement method, can be executed at the settlement apparatus instead of the first settlement method.

To prevent erroneous registration of items to be excluded when registering the items using wireless tag information.SOLUTION: A sales data processor includes: an acquisition unit that acquires identification information for each individual item stored in a wireless tag; an inquiry unit that queries an inventory information storage unit, which stores information on items handled by an own store and other stores belonging to the same family of the own store in association with the identification information for each individual item, using the identification information acquired by the acquisition unit as a key; a determination unit that determines, based on the result of the inquiry by the inquiry unit, whether or not the item identified by the identification information acquired by the acquisition unit is in stock at the store; a registration unit that registers the information on the item as sales data when the determination unit determines that the item identified by the acquired identification information is in stock at the store; and an update unit that updates the information in the inventory information storage unit associated with the identification information of the item associated with the sales data into a state that the item is not in stock when the registration unit registers the sales data.SELECTED DRAWING: Figure 7

According to one embodiment, a commodity registration apparatus includes an input device that can be operated by a customer himself or herself to input information related to a sales transaction in which the customer purchases a commodity. The apparatus also has a processor and a display device to display information to the customer who operates the input device. The processor is configured to cause the display device to display a consent confirmation screen for obtaining consent from the customer to an additional use of a video from a camera monitoring the customer during the sales transaction including the operation of the input device by the customer. The processor is also configured to perform registration processing for the commodity to be purchased based on information from the input device. The consent confirmation screen is displayed before the processor performs the registration processing.

To provide a facility management system for automating or saving labor of facility operation.SOLUTION: In an information processing device, person specification means specifies a person who enters a facility. Group estimation means estimates a group composed of a plurality of persons. Group presentation means presents an estimation result of the group to a person. Group setting means sets a group on the basis of a response to the estimation result of the group.SELECTED DRAWING: Figure 8

To prevent settlement from being in arrears even when a settlement device cannot receive information necessary for the settlement of a transaction from an input processing device.SOLUTION: An input processing device generates settlement information necessary for settlement of a transaction with a customer based on input data, and transmits the settlement information to one settlement device, of a plurality of settlement devices, which is set as a transmission destination. When the transmission of the settlement information ends up in an error, the input processing device records transaction specification information specifying the settlement information in a medium that can be passed over to the customer, and stores the settlement information for which the transmission ends up in an error in the storage unit. When one settlement device receives the settlement information from the input processing device via a network in a state where it can execute settlement processing, it executes the settlement processing based on the settlement information. When the settlement device receives the settlement information via the network in a state where it cannot execute the settlement processing, it transmits the settlement information to another settlement device connected via the network.SELECTED DRAWING: Figure 1

A storing unit stores area information indicating positions of a plurality of image areas set in a captured image of a front region of a self-checkout terminal including a scanner. A processing unit recognizes a product from the captured image. The processing unit detects a fraudulent action related to a scanning operation for causing the scanner to scan product information attached to the product, based on a movement path of the recognized product in the plurality of image areas, and a residence time of the product in a first image area that is closest to the scanner among the plurality of image areas.

To efficiently detect a fraudulent act during checkout for commodities at a self-checkout machine.SOLUTION: A camera 10 captures an image of a customer picking a commodity, and transmits the image to a management device 40 (S1). The management device 40 specifies the picked commodity from the received image (S2), and stores the specified commodity into to-be-purchased commodity data in association with a basket ID assigned to each basket. When the customer checks out a self-checkout machine 50, the self-checkout machine 50 transmits data of on a settled commodity to the management device 40 (S3). The management device 40 stores the received data of the commodity into checkout commodity data in association with the basket ID, and determines consistency between the to-be-purchased commodity and the checkout commodity (S4). When the result of the consistency determination indicates inconsistency, the result of inconsistency is transmitted to a clerk terminal 30 to notify a clerk (S5).SELECTED DRAWING: Figure 1

According to an embodiment, an information processing apparatus acquires image information capable of identifying a state of each of a plurality of transaction processing apparatuses that a customer performs an operation relating to a transaction. The information processing apparatus receives, for each of the plurality of transaction processing apparatuses, detection information indicating presence of a person at a specified operation position on the corresponding transaction processing apparatus. Further, the information processing apparatus determines, on the basis of the acquired image information and the received detection information, whether or not each of the plurality of transaction processing apparatuses is in a state where the operation by the customer can be started.

An information processing device acquires, from an accounting machine, product information generated when the accounting machine reads a code on a product identifies a first feature amount related to first number of times indicating number of products purchased, based on the acquired product information acquires an image obtained by capturing an image of an object disposed in a certain area adjacent to the accounting machine and containing the product identifies a second feature amount related to second number of times indicating number of times of taking out operations of a product placed in the object and notifies with an alert based on the first feature amount and the second feature amount.

To enable shoppers to curb unconscious misbehavior and conscious misbehavior.SOLUTION: A control device includes an action recognition unit, a discrimination unit, a next action reporting unit, a correct action reporting unit, and a warning unit. The action recognition unit recognizes actions performed by a shopper. The discrimination unit discriminates a next action, which is the next action to be taken by the shopper, based on the action recognized by the action recognition unit. Based on the next action determined by the discriminating unit, the next action reporting unit operates a reporting member provided correspondingly to an action area in which the next action is to be performed in a first reporting form. The correct action reporting unit operates the reporting member in a second reporting form when the action recognition unit recognizes that the shopper has performed the next action. When the action recognition unit recognizes that the shopper has performed an action different from the next action, the warning unit allows the reporting member corresponding to the action area in which the shopper has performed the different action to operate in a warning form.SELECTED DRAWING: Figure 5

Systems and methods of automatically switching measurement information processing modes related to a self-checkout kiosk. In one exemplary embodiment, a method is performed by an electronic device that includes processing circuitry. The method may include detecting, using object recognition, at least one object present in real-time captured imagery. The method may further include, responsive to detecting the at least one object present in the real-time captured imagery, switching measurement information processing modes from a first measurement information processing mode to a second measurement information processing mode.

According to one embodiment, a fraudulent act detection device for cash register systems has a processor that receives images from a camera to acquire images of a customer at a point-of-sale terminal and event signals corresponding to operations of the customer at the terminal. The processor processes a camera image to detect a camera event corresponding to operations at the point-of-sale terminal, stores a terminal event indicated in the received event signals in an event log of the storage unit, then detects reportable events of different types related to possible fraudulent acts of the customer. The processor sets a flag indicator for each of the different types of acts to indicate the detection of reportable events and output a report to the point-of-sale terminal if the number of reportable events exceeds a reporting threshold value. The report causes the terminal to display a warning to the customer.

An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

The invention discloses a lottery sale terminal based on an Android system and a modular structure thereof, and relates to the technical field of lottery machines. The terminal is composed of a cabinet main body with IP65 protection, an industrial-grade main control module, an identity verification module, an interaction module, a payment module, a hot-pluggable printing module, a prompt module, a power supply, a protection monitoring module and the like. The identity verification module adopts a dual mechanism of certificate IC reading and OCR-living body comparison to ensure that the lottery is sold only to people who accord with the legal age; all the functional modules are connected through a standard bus and support hot plug maintenance. The terminal realizes end-to-end encryption payment, double-partition FOTA self-healing upgrading, UPS power-off protection and multi-dimensional environment-vibration linkage alarm.

According to an embodiment, a transaction processing system includes a point-of-sale apparatus to process the registration of items in a sales transaction at a store, a monitoring system to detect fraud acts in the sales transaction, and a gate device on an exit lane on which a customer passes after finishing the sales transaction. The transaction data generated for the sales transaction indicates whether fraud has been detected in the sales transaction. The gate device identifies the sales transaction of the customer about to pass through the exit lane, determines whether the transaction data indicates that at least one fraud act has been detected in the sales transaction, and causes an alarm notification to be output when the transaction data indicates at least one fraud act in the sales transaction has been detected.