A point of aim shows where a weapon is aimed on a target. An electronic device determines an impact location on the target of a projectile fired from the weapon, determines a distance from the point of aim to the impact location, and moves the point of aim in order to sight the weapon to the target.

Existing currency validation (CVAL) devices, systems, and methods are too slow, costly, intrusive, and/or bulky to be routinely used in common transaction locations (e.g., at checkout, at an automatic teller machine, etc.). Presented herein are devices, systems, and methods to facilitate optical validation of documents, merchandise, or currency at common transaction locations and to do so in an obtrusive and convenient way. More specifically, the present invention embraces a validation device that may be used alone or integrated within a larger system (e.g., point of sale system, kiosk, etc.). The present invention also embraces methods for currency validation using the validation device, as well as methods for improving the quality and consistency of data captured by the validation device for validation.

Existing currency validation (CVAL) devices, systems, and methods are too slow, costly, intrusive, and/or bulky to be routinely used in common transaction locations (e.g., at checkout, at an automatic teller machine, etc.). Presented herein are devices, systems, and methods to facilitate optical validation of documents, merchandise, or currency at common transaction locations and to do so in an obtrusive and convenient way. More specifically, the present invention embraces a validation device that may be used alone or integrated within a larger system (e.g., point of sale system, kiosk, etc.). The present invention also embraces methods for currency validation using the validation device, as well as methods for improving the quality and consistency of data captured by the validation device for validation.

A computer-implemented method for cloud-based testing of a payment network may include receiving a test configuration for testing a payment processing network, configuring a simulated worker generator for generating a plurality of simulated workers according to the received test configuration, reading commands to be executed by each simulated worker among the plurality of simulated workers from a command bank according to the received test configuration, configuring the plurality of simulated workers according to the commands and the received test configuration, starting a swarm test of the payment processing network by the plurality of simulated workers, reading results of the swarm test from the plurality of simulated workers, and saving the results to storage.

A system for multistage object detection and tracking for realizing a cashierless checkout includes a mobile device. The mobile device includes a set of on-board sensors together installed to the shopping container. The on-board sensors could include multiple digital cameras viewing interior of the shopping container from different angles and positions. The on-board sensors detect and provide user activity data with respect to placement or removal of the items into or from the shopping container. The digital camera obtains a set of digital image frames associated with the unique signatures associated with various shopping items entering and leaving the interior region of the shopping container and communicates them to a mobile device comprising an on-device machine learning (ML) detection and tracking engine; and relay them to subsequent stages for improved accuracy and confidence to arrive at a go/no-go decision.

Methods of detecting scan avoidance events during decode sessions are disclosed herein. An example method includes decoding, during a timeout period at one or more processors of the symbology scanner, a first indicia in a first image captured during the timeout period to determine a first indicia payload; conveying, during the timeout period at the one or more processors, the first indicia payload to a point-of-sale (POS) system for affecting a transaction; detecting, during the timeout period at the one or more processors, a second indicia in the first image or in a subsequent image captured during the timeout period; and in response to determining that the second indicia is the same as the first indicia and is decodable, determining a potential scan avoidance attempt and generating a scan avoidance alarm signal.

Methods of detecting scan avoidance events when items are passed through a field of view (FOV) of a scanner are disclosed herein. An example method, during a decode session, receiving, at one or more processors of the symbology reader, an image of an object; during a timeout period, detecting, at the one or more processors, an indicia in the image of the object, the indicia having a decodable payload; during the timeout period, attempting to decode the indicia to identify the decodable payload, at the one or more processors; and after the timeout period expires, when at least one portion but less than all portions of the indicia is decodable, determining a potential scan avoidance attempt and generating a scan avoidance alarm signal.

Methods of detecting scan avoidance events during decode sessions are disclosed herein. An example method includes during a timeout period at one or more processors of the symbology scanner, identifying and decoding a transaction affecting indicia on an object in one or more images to obtain a transaction affecting payload; during the timeout period at the one or more processors, identifying one or more visual features in the one or more images; and in response to identifying a non-transaction affecting indicia associated with the one or more visual features, and failing to identify or decode the transaction affecting indicia, determining a potential scan avoidance attempt and generating a scan avoidance alarm signal.

The invention provided herein generally relates to devices, systems, and methods for handling cash or quasi-cash items in such a way as to substantially eliminate employee theft, error, or difficulties in reconciling a record of transactions with a total amount of money in a cash drawer. The invention also provides devices, systems, and methods for cash-collateralized electronic banking.

During audio pairing with a broadcaster computing device, a receiver computing device receives audio token data broadcast by the broadcaster computing device via audio communication channels and displays a broadcaster computing device status category to the user via a graphical user interface. In some examples, the receiver computing device receives audio token and determines a broadcaster computing device status category based on determining results of a CRC on the received audio token data. In other examples, the receiver computing device determines a signal score for the received audio token data and determines a broadcaster computing device status category based on the value of the signal score as compared to low and high threshold signal scores determined by an account management system based on aggregate signal score data received from multiple receiver computing devices of a same model as the receiver computing device.