Abstract: A system and method of automated hardware verification and machine learning training using an automated object mover. The automated object mover consists of a ceiling or floor mounted rail. Two vertical poles are mounted on rails and can travel horizontally along the rails. Mechanical mechanisms are included such that the height and trajectory of the object as it passes through the gateway can be modified. Vertical poles are placed between the vertical columns and can travel through the gateway columns. Comparison of collected data from an automated data mover approach compared to a person walking through the gateway system approach produces data similar to an idealized object response for the object moving through the gateway at a constant speed and in zero environmental noise. Different types of collected data can be blended together to create a comprehensive machine learning dataset for training of robust alerting models for various objects.