Abstract: A method includes determining, at a computing system of an aircraft, a target path for an approach to landing based on flight data. The method includes determining an approach phase of approach phases of the approach to landing. The method includes determining a real-time operational region of the aircraft for each monitored condition of monitored conditions based on the real-time aircraft data, the target path, and operational regions for each monitored condition. The method includes accessing notification content for a particular monitored condition for the approach phase. The real-time operational region for the particular monitored condition for the approach phase is outside of a target region of the particular monitored condition for the approach phase. The method also includes sending one or more notification signals based on the notification content from the computing system to one or more output systems.

Abstract: An apparatus for identifying objects receives a dataset comprising an image having first real image features; trains a neural network to recognize the first real image features in the received dataset; and performs a synthetic image augmentation to generate synthetic image features corresponding to the first real image features in the received dataset using the neural network. The synthetic image augmentation allows for improved training of a computer vision function for recognizing second real image features, corresponding to the synthetic image features, in a real-world environment.