Systems and methods for analyzing turns at an airport

A method for analyzing aircraft turns comprising:

• receiving, at one or more computing devices, one or more video streams from one or more cameras;
• processing, at the one or more computing devices, the one or more video streams using one or more feature detection techniques to identify one or more objects from the one or more video streams, wherein processing the one or more video streams comprises extracting data associated with the one or more objects;
• tracking, at the one or more computing devices, the one or more objects to determine an event associated with at least one video stream of the one or more video streams based on the one or more objects and the data, wherein the event is associated with at least one phase of an aircraft turn at an airport;
• storing, at the one or more computing devices, the event in a database with an associated parameter, wherein the parameter is a timestamp;
• performing, at the one or more computing devices, an analysis of the at least one phase of the aircraft turn based, at least in part, on the event and the associated parameter, and wherein the analysis comprises comparing a time derived from at least the time stamp with an expected time;
• and
• providing, at the one or more computing devices, a signal indicative of an issue with the event based on the analysis, and wherein the signal indicates that the at least one phase of the aircraft turn takes a threshold amount of time longer than the expected time.

A system for analyzing aircraft turns comprising:

• one or more cameras;
• a database;
• and
• one or more processors configured to:
• receive one or more video streams from the one or more cameras;
• process the one or more video streams using one or more feature detection techniques to identify one or more objects from the one or more video streams, wherein processing the one or more video streams comprises extracting data associated with the one or more objects, wherein processing the one or more video streams using the one or more feature detection techniques to identify the one or more objects from the one or more video streams further comprises detecting a motion flow in a region of interest within the one or more video streams;
• track the one or more objects to determine an event associated with at least one video stream of the one or more video streams based on the one or more objects and the data, wherein the event is associated with at least one phase of an aircraft turn at an airport;
• store the event in the database with an associated parameter;
• perform an analysis of the at least one phase of the aircraft turn based, at least in part, on the event and the associated parameter;
• and
• provide a signal indicative of an issue with the event based on the analysis.