Systems and methods for identifying potential deficiencies in railway environment objects

A method for identifying potential deficiencies in railway environment objects, comprising:

• capturing, by a machine vision device, an image of an object in a railway environment, wherein the machine vision device is attached to a first train car that is moving in a first direction along a first railroad track of the railway environment;
• analyzing, by the machine vision device, the image of the object using one or more machine vision algorithms to determine a value associated with the object;
• comparing, by the machine vision device, that the value associated with the object with a predetermined threshold to determine whether the object presents an exception;
• and
• classifying, by the machine vision device, the exception as a potential deficiency;
• generating, by the machine vision device, a label on the image, the label indicating the potential deficiency;
• and
• communicating, by the machine vision device, an alert indicating the exception of the object to a component external to the first train car, wherein the alert includes a description of the object and an identification of the first train car, the alert comprising the labeled image.