An electronic device is provided. The electronic device includes a camera, a memory configured to store a model learned to determine whether a user performing authentication for a financial service is in a threat situation, and a processor configured to perform authentication for the financial service based on biometrics information of the user performing authentication for the financial service. The processor may acquire an image by photographing the user performing authentication through the camera, acquire information on whether the user performing authentication is in a threat situation from the learned model, with information acquired from the image as input of the learned model, and perform authentication for the financial service according to the acquired information. At least a part of the learned model is an artificial intelligent algorithm, which may be performed according to at least one of machine learning, neural network, or deep learning algorithm.

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.

In accordance with various embodiments, a method (100) for the computer-aided recognition of a transport container (402) being empty can comprise: determining (101) one or more than one segment of image data of the transport container (402) using depth information assigned to the image data; assigning (103) the image data to one from a plurality of classes, of which a first class represents the transport container (402) being empty, and a second class represents the transport container (402) being non-empty, wherein the one or more than one segment is not taken into account in the assigning; outputting (105) a signal which represents the filtered image data being assigned to the second class.

Methods and systems for detecting fraudulent activity at a self-checkout terminals of a retail store include a scanner for scanning an identifier of a candidate product located in the product-scanning area of the self-checkout terminal, and one or more sensors that detect at least one physical characteristic of the candidate product located in the product-scanning area of the self-checkout terminal. A computing device then correlates the obtained electronic data corresponding to actual identifying characteristic information associated with the candidate product to the reference physical characteristic information associated with the reference product in order to generate a similarity score between the actual and reference physical characteristic information. If the similarity score is above a predetermined similarity threshold, the self-checkout terminal is permitted to process a purchase of the candidate product, but if the similarity score is below the threshold, the self-checkout terminal is restricted from processing the purchase.

A non-transitory computer-readable recording medium stores therein an action determination program that causes a computer to execute a process including acquiring history information of a user operation on a checkout machine to which a product to be purchased is registered and that performs checkout processing of the registered product, specifying, based on an image obtained by capturing a user in front of the checkout machine, an action in which the user operates the checkout machine while grasping an object, and determining, based on the acquired history information, whether the action in which the user operates the checkout machine while grasping an object is an action in which a product to be purchased is registered to the checkout machine.

A system and method for replaying a security video at the time of a fraudulent incident at a point-of-sale checkout terminal is presented. The video playback takes place in real-time, when the event occurs, allowing personnel to take appropriate measures, corrective or otherwise, to deal with the event. Examples of such events may include when a weight-based security alert is triggered at a self-checkout, when a cashier or customer has missed scanning an item at the checkout, or other possible events where rapid replay of relevant video is required.

A percussive massage device theft prevention system includes a percussive massage device, a command center configured to generate a unique activation code configured to be received by the percussive massage device, and an authentication device configured to be paired with the percussive massage device and provide the activation code to the percussive massage device. The percussive massage device is configured to be paired with the authentication device, receive the authentication code from the authentication device, and activate the percussive massage device for a specified time period.

The proposed ATM comprises a microcontroller for controlling a banknote dispenser and a computer for managing the ATM, which are arranged inside and outside, respectively, a safe. The computer is provided with one or more ports for interfacing with it; all the ports are occupied by corresponding connectors. A motion sensor is associated with each single connector for detecting any tampering or movements indicative of its removal from the corresponding port; in this case, the dispensing of the banknotes is inhibited, for example, by interrupting an electrical power supply of the microcontroller and/or of the banknote dispenser. A corresponding operation method of the ATM is proposed. A program product for controlling the ATM are also proposed.

The present disclosure relates to an information processing method, device, system and computer-readable storage medium, which relates to the field of computer technology. The method of the present disclosure includes: obtaining an identification of an offline item in response to a case that a terminal of a user scans an identification code on the item to successfully obtain a possession or use right of the item; determining an identification of a Radio Frequency Identification (RFID) tag on the item according to the identification of the item; and modifying the RFID tag or a state corresponding to the RFID tag according to the identification of the RFID tag to cause the item to be determined as having passed a checkout verification when the RFID tag is read.

A sales management device includes a communication interface and a processor. The communication interface is configured to communicate with a mobile terminal on which a user registers purchases and a clerk terminal within a store. The processor is configured to acquire terminal identification information set for the mobile terminal, acquire status information indicating an operating status of the mobile terminal identified by the terminal identification, acquire a communication connection state of the mobile terminal, and outputs the terminal identification information to the clerk terminal in response to (i) the communication connection state of the mobile terminal being unconnected and (ii) the status information of the mobile terminal acquired before the communication connection state of the mobile terminal becoming unconnected indicating a non-checkout status.