98results about "Alarm indicators" patented technology

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 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.

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.

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

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.

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.

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.

A point of sale (POS) security system includes a POS device including a non-transitory memory, one or more hardware processors, and one or more environment sensors. A plurality of POS instructions are located on the non-transitory memory in the POS device and executable by the one or more hardware processors in the POS device to provide a POS engine that is configured to receive and transmit payment information for conducting a payment transaction associated with a purchase. A plurality of security instructions are located on the non-transitory memory in the POS device and are executable by the one or more hardware processors in the POS device to provide a security engine that is configured to receive environment signals from the one or more environment sensors in the POS device and analyze those environment signals to determine a security breach.

This disclosure relates to item identification and weighing devices for use with point-of-sale (POS) systems. In some embodiments, the devices disclosed herein are configured to determine the presence or absence of a "off-plate" state during weighing operations and to provide the POS system with a total price for the item, which only has weight under certain conditions. Specifically, if an off-plate state is present, the item identification and weighing device does not transmit the total weight of the item to the POS system, and if an off-plate state is not present, the item identification and weighing device transmits the total weight of the item to the POS system.

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.

A monitoring device, a settlement device, and a storage medium capable of suppressing improper behavior of a customer toward a settlement device of a full self-service are disclosed. The monitoring device includes a behavior recognition section, an operation recognition section, an improper detection section, an image acquisition section, and an output section. The behavior recognition section recognizes behavior of a settler toward the settlement device. The operation recognition section recognizes operation input to the settlement device by the settler. The improper detection section detects improper behavior of the settler based on recognition results recognized by the behavior recognition section and the operation recognition section. The image acquisition section acquires an image specifying improper behavior detected by the improper detection section from a photographic image of a camera that photographs the settler operating the settlement device. The output section outputs the image specifying the improper behavior.

A method in a computing device includes: detecting an unscanned item within the cart from an image of an interior of the cart; in response to detecting the unscanned item, determining a location of the unscanned item within the cart; generating anomaly data having the location of the unscanned item within the cart; and causing a display of the anomaly data.

The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and / or an externally-generated event.

To enable the prevention of errors in operations left unattended in situations where the operations are performed by customers for the registration of articles that are the subject of transactions.SOLUTION: An information processing device according to an embodiment includes acquisition means, detection means and generation means. The acquisition means acquires an image of the interior of a container for containing an article that has already been registered as an object of a transaction. The detection means detects the article put into the container based on the image acquired by the acquisition means. The generation means generates a screen representing an image of the registered article that enables a user to identify the registered article overlaid on the image acquired by the acquisition means. When an article newly put into the container is detected by the detection means, if the article is registered for a transaction at a registration timing predetermined with respect to the detection timing, the generation means generates a new screen on which the user can identify the article newly put into the container.SELECTED DRAWING: Figure 9

A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

The present disclosure relates to item identification and weighing devices for use with point of sale (POS) systems. In some embodiments, devices disclosed herein are configured to determine a presence or a lack of an off-platter condition during weighing operations and provide the POS system with a total price for the item being weight only in certain conditions. Namely, when an off-platter condition is present, the item identification and weighing device does not transmit the total weight of the item to the POS system, and when an off-platter condition is absent, the item identification and weighing device does transmit the total weight of the item to the POS system.

To appropriately estimate a fraudulent act of a purchaser in consideration of reliability for recognition of an action of the purchaser.SOLUTION: A fraudulent act estimation device includes action recognition means, reliability acquisition means, condition detection means, threshold determination means, and fraudulence estimation means. The action recognition means recognizes an action of a purchaser at a settlement terminal. The reliability acquisition means acquires a degree of reliability of a recognition result for the action of the purchaser recognized by the action recognition means. The condition detection means detects a change condition of a threshold for the degree of reliability. The threshold determination means determines the threshold on the basis of the change condition. The fraudulence estimation means estimates a fraudulent act of the purchaser on the basis of the action of the purchaser recognized by the degree of reliability more than the threshold determined by the threshold determination means.SELECTED DRAWING: Figure 1

According to one embodiment, an image processing apparatus includes a camera interface for connecting to a camera, a communication interface for connecting to an external device, and a processing unit. The processing unit is configured to acquire an image from the camera via the camera interface, identify at least two different types of key points of an object depicted in the image, calculate evaluation values of respective combinations in which the different types of key points are connected to one another, and then select at least two patterns of combinations with other key points in descending order of the evaluation values for each of the key points. The processing unit recognizes the object depicted in the image by connecting combinations of at least two patterns selected for each of the key points with other key points.

This invention provides a system and method for performing item detection at the point of sale. [Solution] In one exemplary embodiment, the method is performed by a POS system device having a terminal station device and a bagging station device. The terminal station device includes an optical scanner. The bagging station device includes a bagging area. Furthermore, the POS system device is operably coupled to an optical sensor device having a field of view including an area around the POS system device, and the POS area has a set of POS sub-regions. The method includes the step of applying an artificial intelligence model to a set of interaction object tracking characteristics to enable the determination that one of the set of detected objects has been transported to a POS sub-region associated with the bagging area without being scanned.

We provide a hybrid checkout system that enables on-the-go, multi-signal, and batch product identification. [Solution] The system includes a computer vision device with multiple cameras fixed at different positions on a conveyor belt, each camera capturing multiple images of products placed on the conveyor belt, including markings to assist the user in placing products, from different viewpoints as the products move. Furthermore, an RFID sensor provided in the hybrid checkout device acquires RFID data from RFID tags attached to products as the products move. Image data and other sensor data are provided as multi-signal inputs to a machine learning model trained to recognize products and output product identifiers for the products. Price information corresponding to the product identifiers received from the model is determined, and the products and their respective prices are added to the transaction record.

To prevent fraudulent transactions where a subject of the transaction leaves a store without making a payment.SOLUTION: A settlement device acquires identification information that identifies the transaction with a transaction subject upstream of a passage through which the transaction subject passes. Determination means determines whether or not the transaction identified by the identification information acquired by acquisition means has already been settled. The settlement device controls an operation in a first mode to report when a person passing through the passage is detected by a detector after the transaction has been settled and before the determination is made that the transaction with a next transaction target has been settled. The settlement device controls an operation in a second mode in which no report is made even when a person passing through the passage is detected by the detector until a predetermined time has elapsed after the transaction is determined to have been settled, or until a transaction subject whose transaction is determined to have been settled passes through the passage within the predetermined time.SELECTED DRAWING: Figure 5

Method and apparatus for enhanced emergency response are provided. An activation signal indicating an event has occurred at a first location is received. An alert is transmitted to a set of transaction processing devices at the first location, where the alert instructs each respective transaction processing device, from the set of transaction processing devices, to suspend respective transactions that are pending for completion. A deactivation signal indicating the event was resolved is received. Responsive to receiving the deactivation signal, diagnostic checks are conducted on each of the set of transaction processing devices to determine operational status. A transaction processing device, from the set of transaction processing devices, is determined to be operational. Responsive to determining the transaction processing device is operational, the transaction processing device is instructed to resume the respective transactions suspended on the transaction processing device.