3725results about "Cash registers" patented technology

The invention relates to the technical field of encryption communication, in particular to a data encryption communication method and system applied to an intelligent cash register. The method comprises the following steps: collecting user touch data and equipment hardware fingerprints, and carrying out high-dimensional feature fusion coding to obtain a joint identity certificate; obtaining an original key negotiation protocol and transmission metadata of an opposite-end server, and executing multi-logic path mapping and channel encryption configuration to obtain distributed ciphertext channel parameters; encrypting the distributed ciphertext channel parameters and the corresponding transmission metadata, and then performing block content packaging and node hash calculation to obtain an audit chain hash block; performing homomorphic encryption processing on the obtained real-time transaction data to obtain a to-be-transmitted homomorphic ciphertext; and performing communication transmission anomaly detection on information transmission data acquired in real time, and triggering dynamic key re-negotiation so as to improve the communication feedback capability. According to the invention, the overall security and stability of data encryption communication between the cash register and the back-end server can be improved.

The present invention relates to a system (100) and method (300) for automated product validation, identification, and transaction management in shopping environments. The system (100) integrates a smart shopping cart (102) equipped with at least one camera (106), a load cell (108), and a user interface (110). An AI model trained on a dataset of high-resolution, 360° product images generate unique image embeddings for each product. The system performs multimodal validation by comparing the extracted image embeddings, measured weight data, and scanned barcode information with reference data stored in a vector database. Further, discrepancies, such as unscanned products or mismatches, are flagged, and payment is blocked until resolved.

Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

The invention relates to the technical field of self-service, and particularly discloses a non-inductive payment method and device, and the method comprises the steps: collecting goods taking pictures of a plurality of clients through a binocular camera and an infrared array which are disposed at the top and side surfaces of a cabinet body, extracting hand key points through posture estimation, and distinguishing the identity through multi-target tracking; a gravity sensor under a shelf board detects the weight change of each goods allocation, and combines with a visual track to construct the space-time correlation of goods movement, so as to realize the cross validation of goods taking behaviors; the convolutional neural network performs abnormal behavior detection on the multi-modal data and generates a risk score; creating a virtual shopping basket containing a space-time mark for each customer, and judging commodity attribution by adopting a decision tree algorithm; and executing distributed bill generation and multi-channel fee deduction according to the risk level, and completing real-time settlement in a multi-client concurrent scene. According to the method, the commodity affiliation accuracy and the payment security are remarkably improved, and efficient and stable unmanned retail operation can be realized.

Implementations of this application provide a checkout device, including a housing, a display screen, and a near-field communication (NFC) module. The housing includes a support portion for support of the housing on a countertop. The display screen is fastened to the housing, and when the checkout device is used, the display screen faces a consumer. The NFC module is located in space enclosed by the housing, and located to permit an electronic device to make an electronic payment.

A wireless tag reading apparatus includes a housing having an accommodation space in which a shopping cart is placeable, the shopping cart including an upper rack and a lower rack on which one or more items or one or more shopping baskets containing the one or more items are placeable; one or more antennas movable along one or more surfaces of the accommodation space; a communication interface; and a processor configured to when the shopping cart is placed in the accommodation space, control the antennas to move along the surfaces, and read identification information of one or more items in the shopping cart from one or more wireless tags attached thereto, generate item registration information based on the read identification information, and control the communication interface to output the item registration information to a payment device for payment of the items.

An information processing apparatus (10) is used in a store, and includes a display (110) and a computation processing unit (142). The display (110) is capable of rotating about an axis of rotation in a direction intersecting a display surface. The computation processing unit (142) changes processing modes according to an angle of the display (110). The processing modes include a first mode relevant to a first application and a second mode relevant to a second application different from the first application. One example of the first application is settlement processing for a product being sold in a store.

An information processing system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: estimate an age of a customer from a customer image; receive input of identification information about a product; display a first age verification screen requesting the customer to express his / her age in response to the input of the identification information about an age-restricted product in a case where the estimated age of the customer meets a predetermined condition; and display a second age verification screen requesting the customer for proof of age in response to the input of the identification information about an age-restricted product in a case where the estimated age of the customer does not meet the predetermined condition.

Disclosed is a storage cabinet. An embodiment has one or more shelves, one or more doors for enclosing the cabinet, and an electromagnetic lock for locking the door or doors. The shelves have one or more cameras, an opened- or closed-door state sensor, and a weight sensor arranged to measure weight of products placed on said shelves. An electronic data processor carries out a machine learning computer vision method for processing data received from cameras and sensors to identify products removed from said shelves. The processor detects when a cabinet door is in an open state, acquires image and weight data from the associated camera and weight sensor. When a weight change at a shelf is detected, processing of image data acquired including when the weight change occurred occurs, with said machine learning computer vision method.

To reduce man-hours in a work for returning articles on deposit.SOLUTION: An article on deposit information processing device according to the present disclosure includes: identification information acquisition means which acquires identification information of articles on deposit from an information reading device which reads identification information of articles on deposit for identifying an article on deposit written or stored on a receipt from an information reading device for reading identification information of articles on deposit for identifying an article on deposit written or stored on a receipt; information of article on deposit acquisition means which acquires signature handing information indicating whether the article on deposit is handed or not without receiving the receipt but using the signature on the basis of the identification information; and information output means which outputs display information for displaying the identification information of articles on deposit and the signature handing information.SELECTED DRAWING: Figure 1

A product checkout device operable to couple to a shopping cart and facilitate a checkout process for items placed in the shopping cart.

Techniques for intelligent system optimization are provided. Capacity data of one or more exit devices at a physical location is received. Demand data that indicates a current demand for exit service at the physical location is received from one or more monitoring devices. A decision is generated based on the capacity data and the demand data using a machine learning (ML) model. Commands corresponding to the decision are transmitted to the one or more exit devices for implementation.

Implementations of this application provide a checkout device, a checkout assembly, and a checkout method. An example checkout device includes a housing, a display screen, and a Near Field Communication (NFC) module. The display screen is fastened to the housing, and is configured to display at least one of a to-be-paid amount of a product, payment method guidance, or a payment result. The NFC module is located in a space enclosed by the housing to be in close proximity to an electronic device to make an electronic payment. The display screen displays the payment method guidance to direct a consumer to quickly make an electronic payment. The display screen displays the to-be-paid amount of the product and the payment result.

Disclosed are systems and methods for determining whether an unknown product matches a scanned barcode during checkout. The system includes a checkout lane having a flatbed scanning area with scanning devices and a point of sale (POS) terminal that scans a product identifier of an unknown product, identifies a product associated with the scanned product identifier, and transmits, to a computing system, product information. An overhead camera idnentifies, based on detecting an optical signal from the POS terminal, that a scanning event occurred, captures image data of the unknown product, and transmits, to the computing system, the image data. The computing system generates machine learning product identification models for identifying unknown products, identifies candidate product identifications for the unknown product based on applying the models to the image data, and determines, based on the candidate product identifications and the information about the product, whether the unknown product matches the product.

Systems and methods of conducting frictionless shopping are provided. In one exemplary embodiment, a method is performed by a network node device operationally coupled over a network to optical sensor devices positioned throughout a retail space having shelf structures. Each shelf structure has display devices with each display device being associated with and proximate a certain stocked item of the set of stocked items that is disposed on that shelf structure. The method includes sending, to a first display device that is associated with and proximate a certain stocked item that is electronically requested, over the network, an indication that includes a request to enable an auditory or visual indication so that the certain stocked item can be located on the corresponding shelf structure of the set of shelf structures in the retail space based on the auditory or visual indication.

A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.

To provide a communication system capable of switching a communication method.SOLUTION: A communication system includes a first device having an imaging function, a second device having an image recognition function, and a local area network that communicably connects the first device and the second device. The first device includes a first communication method switching unit capable of switching a communication method between a first communication method and a second communication method differing from the first communication method. The second device includes a second communication method switching unit capable of switching the communication method between the first communication method and the second communication method.SELECTED DRAWING: Figure 14

An action detection system (10) includes an action specification unit (18) configured to start specification of at least one action ID based on at least part of skeleton information extracted from video data that is a captured video of a user in response to detection of the user visiting checkout machine determined in advance, a determination unit (20) configured to determine whether or not an action sequence including the specified at least one action ID corresponds to registration action sequences registered in advance, and a processing control unit (21) configured to execute processing determined in advance in accordance with a determination result.

The present disclosure describes various embodiments directed at a weighing device with a power supply method for components within the weigh platter. It solves the issue of traditional electrical supply methods interfering with weight measurements by embedding an energy storage assembly within the weigh platter. This assembly supplies power to embedded subsystems when needed and recharges when possible, ensuring efficient power supply without disturbing the weighing process. The power transfer can be selectively controlled based on the weight detected or the reader's operational state. The device can be used in various configurations, extending beyond scales with data capture assemblies.

The invention discloses a non-screen POS machine data acquisition method and system based on NFC and a WeChat applet. A POS machine simulates an NFC Type 4 label through a non-contact chip, performs SM2 signature and encryption on equipment data containing a timestamp and a random number by using a private key instantaneously reconstructed by a PUF, and performs Base64URL-CRC packaging, segmented NDEF writing and 30s TTL setting; the mobile terminal automatically pulls up the WeChat applet after triple verification of radio frequency field stability detection, URL white list and integrity fingerprint; the small program uploads parameters through an AES-128-GCM secondary encryption and a Reed-Solomon fragment tunnel; the background adopts a Redis idempotent lock, an HSM private key decryption, an SGX enclave one-time token display mechanism and other mechanisms to complete signature verification and decryption, and it is ensured that the device data are only briefly visible in the WeChat security sandbox. According to the invention, the problems of difficult operation and maintenance data acquisition, high cost and poor security of the non-screen POS machine are solved, and cross-platform, anti-replay and man-in-the-middle-resistant high-security data acquisition can be completed within 10 seconds.

A multi-function transaction card may receive, from shelf sensors, first data indicating that items have been removed from shelves by a customer of a merchant, and may receive, from shopping cart sensors, second data indicating that the items have been placed in a shopping cart. The multi-function transaction card may receive, based on the first data and the second data, item data identifying the items placed in the shopping cart, wherein the item data is received from price tags of the items. The multi-function transaction card may store the item data, and may provide, to a transaction terminal of the merchant, the item data identifying the items and customer data identifying the customer. The multi-function transaction card may receive, from the transaction terminal, transaction data identifying a transaction that charges the multi-function transaction card for a total cost of the items.

The invention discloses a book management method and device based on RFID and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a borrowing request submitted by a reader; analyzing the borrowing request, and identifying an identification code of the to-be-borrowed book; matching the identification code with preset book position information to obtain a target bookshelf area where the to-be-borrowed book is located; controlling the target RFID reader-writer to start a radio frequency signal of a preset frequency band to scan the target bookshelf area; acquiring a book identification code and book position information sent by each RFID electronic tag; determining a target book matched with the identification code of the to-be-borrowed book according to the book identification code; and sending the target position information of the target book to the reader, and controlling a positioning indicator lamp array corresponding to the target bookshelf area to lighten a positioning indicator lamp corresponding to the target position information. By implementing the technical scheme provided by the invention, the book borrowing efficiency is improved.

A Radio Frequency Identification (RFID) enabled Self-Checkout (SCO) station includes an RF antenna that emits RF energy, such as RFID interrogation signals, through the variable apertures of one or more aperture layers into a scan zone. The size of the scan zone is selectively varied by electrically modifying the effective size of the variable aperture in the aperture layer.

An information processing system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: register a product whose identification information is input by a customer's operation on a portable terminal; accept necessity of a disposable shopping bag from the portable terminal; determine a benefit in response to registration of one or more products in a case where a fact that a disposable shopping bag is unnecessary is accepted; and grant the determined benefit in a case where payment for the registered product is made.

Systems and methods of detecting activity at point of sale are provided. In one exemplary embodiment, a method is performed by a POS system having an optical sensor device, an optical scanner device and a load sensor device. The optical sensor device has a field of view that includes a first region about the POS system and the load sensor device is operable to measure a load of an object while positioned in a bagging area of the POS system. Further, the first region includes a second region associated with a certain object type that can be positioned in the bagging area without having to be scanned or weighed. The method includes obtaining a successive image captured by the optical sensor device to enable a determination that the target object corresponds to the certain object type that is exempt from being scanned or weighed based on the successive image.

Self-checkout vehicle systems and methods comprising a self-checkout vehicle having a camera(s), a weight sensor(s), and a processor configured to: (i) identify via computer vision a merchandise item selected by a shopper based on an identifier affixed to the selected item, and (ii) calculate a price of the merchandise item based on the identification and weight of the selected item. Computer vision systems and methods for identifying merchandise selected by a shopper comprising a processor configured to: (i) identify an identifier affixed to the selected merchandise and an item category of the selected merchandise, and (ii) compare the identifier and item category identified in each respective image to determine the most likely identification of the merchandise.

Techniques for managing coverage constraints are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track subjects in the three-dimensional real space.

Systems and methods of verifying utilization of a blockchain registered container at POS are presented. In one exemplary embodiment, a method is performed by a POS system having a sensing device operable to sense an identifier specific to a container configured to transport items after checkout. The POS system is communicatively coupled to a blockchain network that includes network nodes that are collectively configured to operate a blockchain. The container identifier is specific to a cryptographic digital asset stored on the blockchain as a container identifier code. Further, the cryptographic digital asset includes a user identifier code, with the container identifier code and the user identifier code being included in a transaction entry of a block on the blockchain that is associated with the cryptographic digital asset. The method includes sending, to the blockchain, a request for block data associated with the cryptographic digital asset based on the container identifier.