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.

An online service provisioning process is provided during which the service provider's knowledge about the user to whom the service is delivered does not increase. This is accomplished by presenting user attribute information to the service provider as obfuscated objects that can be independently verified and which are privacy preserving.

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. An apparatus comprises a processor and a memory that stores code executable by the processor to receive an electronic submission for a pass/fail interface, identify information from the electronic submission to suggest to a user for entering into an input field for the pass/fail interface prior to submitting the electronic submission to the pass/fail interface to reduce a likelihood that the electronic submission will be rejected at the pass/fail interface, determine the likelihood that the electronic submission will be accepted by the pass/fail interface, and submit the electronic submission to the pass/fail interface in response to the likelihood satisfying a threshold.

An item recognition system uses a top camera and one or more peripheral cameras to identify items. The item recognition system may use image embeddings generated based on images captured by the cameras to generate a concatenated embedding that describes an item depicted in the image. The item recognition system may compare the concatenated embedding to reference embeddings to identify the item. Furthermore, the item recognition system may detect when items are overlapping in an image. For example, the item recognition system may apply an overlap detection model to a top image and a pixel-wise mask for the top image to detect whether an item is overlapping with another in the top image. The item recognition system notifies a user of the overlap if detected.

In an aspect, the present disclosure includes a method, apparatus, and non-transitory computer readable medium for wireless communications for initiating, by a provisioning system, a provisioning procedure to configure and update a device that initiates an initial connection to a wireless network based on a unique identifier of the device; and establishing, by the provisioning system, a secure socket with the device based on the provisioning procedure.

Kingo shopping device is an improvement of delivery services consist of an outdoor digital delivery box able the consumers receives automatically their orders, goods and packages more easily and securely in a presentable manner through specific easy new method let the delivery team scan the goods purchased receipt and drop the packages securely into the device. This new smart futures of this device characterized by the cash and certified check payment and the wireless WiFi mode permit the consumers enjoy receiving orders in proper presentable manner with absolutely consumer time free.

Example techniques relate to discovery and media control at a point-of-sale display.

In some examples, a system and method for pairing a payment object reader with a point-of-sale (POS) terminal is described herein. The payment object reader includes one or more light indicators configured to display information in an optical pattern of one or more colors, brightness, lightness, and intensities, wherein the light indicators display a first optical pattern representative of an operational status of the payment object reader in a first mode, and a second optical pattern representative of a pairing code in a second mode. A display control component, executed by a processor, is configured to control the light indicators in accordance with the pairing code to generate the second optical pattern, the second optical pattern when shared with the POS terminal enables pairing between the payment object reader and the POS terminal. When paired, the payment object reader allows the POS terminal to accept payments from a customer.

A money handling apparatus (for example, a banknote handling apparatus) includes a destination selector configured to select a storage unit where at least one of a counterfeit money and suspect money among the money transported by the transporting unit is to be transported, from the plurality of storage units (for example, each banknote storage unit, each storage/feeding unit, collecting unit, banknote ejecting unit, and the like) and a controller configured to control the transporting unit to transport at least one of the counterfeit money and suspect money to the storage unit selected by the destination selector among the plurality of storage units.

A money handling apparatus (for example, a banknote handling apparatus) includes a destination selector configured to select a storage unit where at least one of a counterfeit money and suspect money among the money transported by the transporting unit is to be transported, from the plurality of storage units (for example, each banknote storage unit, each storage/feeding unit, collecting unit, banknote ejecting unit, and the like) and a controller configured to control the transporting unit to transport at least one of the counterfeit money and suspect money to the storage unit selected by the destination selector among the plurality of storage units.