Abstract: A method of detecting ice on a surface of an aircraft includes obtaining a first series of images captured by one or more cameras onboard the aircraft. The method also includes performing data reduction operations to generate a second series of images. The method further includes generating feature data based on the second series of images, where the feature data is indicative of changes over time of pixel data of the second series of images. The method also includes generating, based on the feature data, input data for a trained classifier and determining, using the trained classifier, whether ice is present on one or more surfaces of the aircraft.

Abstract: A device includes one or more processors configured to obtain bounding box data indicating a first location history of a first bounding box associated with a first object detected in images. The one or more processors are also configured to process, using a trained model, at least the first location history to detect an event associated with flight preparation of an aircraft. The one or more processors are further configured to generate an output indicating the event.

Abstract: A method of detecting ice on a surface of an aircraft includes obtaining a first series of images captured by one or more cameras onboard the aircraft. The method also includes performing data reduction operations to generate a second series of images. The method further includes generating feature data based on the second series of images, where the feature data is indicative of changes over time of pixel data of the second series of images. The method also includes generating, based on the feature data, input data for a trained classifier and determining, using the trained classifier, whether ice is present on one or more surfaces of the aircraft.