Abstract: A door monitoring system may include an optical sensor that may generate sensor signals indicative of a field of view of the optical sensor. The field of view may include at least part of an interior vehicle floor in front of a vehicle door. The system also may include controller that receives the sensor signals and that detects a presence or absence of one or more persons and/or objects within the field of view of the optical sensor. The controller may change a speed at which the vehicle door moves based on the presence or the absence of the persons and/or objects that are detected responsive to detecting the presence or absence of the persons and/or objects.

Abstract: A method may include recording operation of equipment to create an audio file, extracting features from the audio file, inputting the extracted features into a machine learning model, and determining with the machine learning model a score indicative of the operation of the equipment. A system may include an audio sensor to record audio of operation of equipment and generate an audio file, and one or more processors. The one or more processors extract features from the audio file, input the extracted features into a machine learning model, and determine with the machine learning model a score indicative of the operation of the equipment.

Abstract: A method includes recording operation of equipment into an audio file and transforming the audio file into image data. The image data is input into a machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment. A system includes an audio sensor configured to record operation of equipment and create an audio file, and one or more processors. The one or more processors transform the audio file into image data and input the image data into the machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment.