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    • 7. 发明专利
    • IMAGE-BASED DRIVE-THRU MANAGEMENT SYSTEM
    • AU2022201564A1
    • 2022-09-29
    • AU2022201564
    • 2022-03-07
    • AGOT CO
    • DESANTOLA EVANLITZENBERGER ALEXMESBAH RASSOULSAR PRASHASTI
    • G06Q50/12G06Q10/06
    • Attorney Docket No.: 39304.8 (L0002.3AU) The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a drive-thru area. The processing device determines a vehicle disposed within the drive-thru area based on the image data. The processing device receives order data with a pending meal order. The processing device determines a first association between the vehicle and the pending meal order based on the image data. The processing devices determine a meal delivery procedure associated with the based on the association between the vehicle and the pending meal order. The processing device performs may perform the meal delivery procedure. The processing device may provide the meal delivery procedure for display on a graphical user interface (GUI). Fig. 8 500B Start Identify image data - 2 Identify labels corresponding to the image data 522 Train a machine learning model using data input including previous image data (and target output 524 including previous processed image data) to generate a trained machine learning model configured to generate outputs to cause image processing to identify and generate image processing data. :End 500C Start Receive current image data associated with a current state of the kitchen - 540 Provide the current image data to a trained machine learning model -§542 Obtain, from the trained machine learning model, one or more outputs indicative of identified 544 features of the state of the kitchen Cause, based on the output(s), performance of an affirmative action associated with altering the __-546 state of the kitchen ( IEnd.