When an unfair gaming currency is delivered to a dealer from a player, the currency is detected as unfair. The inspection system for inspecting the gaming currency, in which an RF tag is built, comprises: a gaming currency tray for housing the gaming currencies of the dealer in a casino game; an RF reader for reading the RF tags of the plural gaming currencies housed in the gaming currency tray; plural photosensors for detecting at least the number of the plural gaming currencies housed in the gaming currency tray at a constant time interval or always in a method other than RFID; and an inspection/alarm part for generating alarms when the number of the gaming currencies whose RF tags are read by the RF reader is not equal to the number of the gaming currencies detected by the plural photosensors.

An electronic apparatus operated by a sales clerk includes a display, a camera configured to capture an image of a code displayed on a screen of a portable registration apparatus operated by a customer in a store, the code corresponding to one or more commodities to be purchased and check data indicating whether each of said one or more commodities needs to be checked by the sales clerk before being checked out, and a processor configured to, when the image of the code is captured by the camera, acquire information indicating said one or more commodities to be purchased and the check data using the code, and control the display to display a screen showing one or more commodities that need to be checked by the sales clerk based on the acquired information.

This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved. For example, after identifying a first item and a second item either placed into or removed from the cart, the cart may determine that the user added two instances of the first item and removed one instance of the second item. In response to making this determination, the cart may update a virtual cart of a user operating the physical cart.

Disclosed embodiments provide transaction validation systems and methods for use in self-checkout at a retail establishment. An exemplary system may include a scale sized to support and weigh a shopping basket thereon. At least one image sensor is arranged to capture at least one image of the weighed shopping basket. A processor receives a weight measurement of the shopping basket from the scale and determines, based on information received from a wireless communications device of a customer, a record of products in the shopping basket and an expected cumulative weight associated with the products in the shopping basket. The processor determines a discrepancy between the weight measurement of the products in the shopping basket and the expected cumulative weight and reconciles the determined discrepancy using the at least one captured image of the shopping basket by the at least one image sensor.

This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved. For example, after identifying a first item and a second item either placed into or removed from the cart, the cart may determine that the user added two instances of the first item and removed one instance of the second item. In response to making this determination, the cart may update a virtual cart of a user operating the physical cart.

An inspection system inspects gaming chips each having a color or a display indicating a value on an outer surface in a state where the gaming chips are stored in a case in which a maximum of the number of gaming chips to be stored is limited, and a radio tag storing gaming chip information is embedded in each of the gaming chips. The gaming chips are stored in the case capable of containing a row of gaming chips stacked in a thickness direction, and the inspection system includes a reading device that reads the radio tag of the gaming chip in the case and acquires gaming chip information of the gaming chip and a determining unit that compares the gaming chip information with a maximum of the number of gaming chips storable in the case and determines an abnormality of the gaming chip in the case when the number of gaming chips obtained from the gaming chip information is different from a maximum of the number of storable gaming chips.

Method and systems are provided for processing actions in a store. One example method includes capturing sensor output from two or more sensors in a shopping environment. One sensor includes a first camera to capture scene data where the scene includes movement of a shopper in the store performing interaction with an item in the store. Another sensor includes a second camera capturing at least part of the scene from a different perspective. The method includes processing, by a processing entity associated with the store, at least one of the camera's output to generate feature data. The feature data is processed by one or more machine learning models to produce engineered feature data. The engineered feature data includes data relating to tracking skeletal movement of shopper. The method includes processing, by a processing entity associated with the store, the feature data including engineered feature data using said one or more machine learning models to produce a prediction that a take of the item has occurred by the shopper. The prediction is based on a characterization that said feature data or engineered feature data is labeled to infer that the movement of the shopper is interaction with the item that is classified as the take as having occurred.

Described herein are systems and methods for validating products that are added to a shopping cart. A shopping cart that can include product validation hardware and a controller, the product validation hardware including motion sensors positioned at least along a top perimeter of the shopping cart and at least one weight sensor positioned inside the shopping cart. The shopping cart can receive, from one or more of the motion sensors, motion data when the product is detected to be entering a top horizontal plane of the shopping cart, receive, from the at least one weight sensor, weight change data that is collected in real-time as the product settles inside the shopping cart, and correlate the weight change data with the motion data to generate a weight signature over time for the product. The weight signature can be used to validate the product that is added to the shopping cart.

In some implementations, a system for verifying items in a retail environment includes a physical shopping cart including a first set of sensors, and an automated checkout station including a second, different set of sensors. The physical shopping cart receives item verification data for verifying an item, detects the item as it enters the physical shopping cart, and performs a primary verification of the item. The automated checkout station obtains a virtual shopping cart that corresponds to the physical shopping cart. The virtual shopping cart includes a list of items that have been placed in the physical shopping cart, and a verification status of each item. The second, different set of sensors generate station sensor data that represents the physical shopping cart and the items in the physical shopping cart. A secondary verification of the physical shopping cart and its contents is performed by the automated checkout station.

In some implementations, a method performed by data processing apparatuses includes receiving, by an item verification engine, a scan notification indicating that a mobile computing device has scanned an item. In response to receiving the scan notification, the item verification engine provides an instruction for a cart computing system to activate item sensors on a shopping cart. The item verification engine receives sensor data collected by the item sensors as a result of the item having been placed in the shopping cart. The item verification engine receives item verification data for verifying the scanned item from the mobile computing device, performs a verification of the item based on the sensor data and the item verification data, and provides verification results for presentation by the mobile computing device.