Abstract: A point-of-sale terminal is provided. The point-of-sale terminal includes a processor and a memory configured to store transaction data therein. The point-of-sale terminal further includes a network interface configured to connect to a computing network. The network interface is further configured to receive, from the network, a message comprising blockchain information. The point-of-sale terminal is configured to store the transaction data in a blockchain ledger.

Abstract: A communications system for a restaurant includes multiple field communications units, a portable communications device, and processing circuitry. The field communications units include a speaker and a microphone. The portable communications device is transportable by an order taker of the restaurant. The processing circuitry obtains a user input to transition the portable communications device between multiple different channels. The multiple different channels correspond to one of the multiple field communications units. The processing circuitry transitions the portable communications device to one of the multiple different channels according to the user input. The processing circuitry facilitates end-to-end bi-directional audio communication between the order taker and a customer by operating the portable communications device and the one of the multiple field communications units to exchange audio data over the one of the multiple different channels.

Abstract: A non-transitory computer-readable medium is configured to store instructions executable by one or more processors to perform operations including receiving, via an audio signal interface, audio data, processing the audio data to identify one or more speakers from which the audio data is produced, determining, from the processed audio data, an intention to place one or more orders, and communicating, in response to determining the intention, with at least one point-of-sale (POS) terminal to execute order processing.

Abstract: A non-transitory computer-readable medium is configured to store instructions executable by one or more processors to perform operations including independently processing, by each of a first processor and a second processor, audio data relating to one or more orders, determining whether the first processor has supplied a first indication to perform first language processing of the audio data, and selecting a result of second language processing of the audio data from the second processor in response to determining that the first system has not supplied the first indication. The first processor is configured to perform one or more of the first language processing, first transcription processing, or first entity recognition processing. The second processor is configured to perform one or more of second language processing of higher quality than the first language processing, second transcription processing of lower quality than the first transcription processing, or second entity recognition processing.

Abstract: A point-of-sale terminal is provided. The point-of-sale terminal includes a processor and a memory configured to store transaction data therein. The point-of-sale terminal further includes a network interface configured to connect to a computing network. The network interface is further configured to receive, from the network, a message comprising blockchain information. The point-of-sale terminal is configured to store the transaction data in a blockchain ledger.

Abstract: A point-of-sale terminal is provided. The point-of-sale terminal includes a processor and a memory configured to store transaction data therein. The point-of-sale terminal further includes a network interface configured to connect to a computing network. The network interface is further configured to receive, from the network, a message comprising blockchain information. The point-of-sale terminal is configured to store the transaction data in a blockchain ledger.

Abstract: A system and a method for automating drive-thru orders are provided. In particular, a bridge board is provided that can integrate existing drive-thru hardware with computer devices executing machine learning models to detect and analyze speech from a drive-thru. The system and method employ vehicle tracking to account for vehicle behavior during its time at the drive-thru as well as enhanced vehicle analytics. Additionally, the system and method employ tools for assessing customer speed-of-service. Cameras and vehicle image analysis are used to link drive-thru and/or on-line food/beverage orders with vehicles entering the eatery property to accelerate food/beverage delivery to vehicle occupants.

Abstract: A system and a method for automating drive-thru orders are provided. In particular, a bridge board is provided that can integrate existing drive-thru hardware with computer devices executing machine learning models to detect and analyze speech from a drive-thru. The system and method employ vehicle tracking to account for vehicle behavior during its time at the drive-thru as well as enhanced vehicle analytics. Additionally, the system and method employ tools for assessing customer speed-of-service. Cameras and vehicle image analysis are used to link drive-thru and/or on-line food/beverage orders with vehicles entering the eatery property to accelerate food/beverage delivery to vehicle occupants.