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 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.

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.