Motion Detection Simulation of Container Crane Spreader Using Computer Vision

Abstract

Container handling process needs to be efficient, reliable, and safe, in order to reduce operating costs and to avoid risks. Supporting these goals, related equipment has experienced many improvements. One of the important tools is the crane, which is used to transfer and stack the containers. Although the crane technology has been developed rapidly, such as Automatic Stacking Crane, it is still considered necessary to examine any additional systems that integrated with the main system. This paper proposes a supplemental system is used in a container crane for detecting spreader motion using Computer Vision. The viewpoint of the camera is from the trolley toward spreader. By processing the pixels value and their position within the screen, the spreader motion, including the sway, the skew, the trims, the list, and the relative position of the spreader can be detected. This system can be used as an input for a fail-safe device that can interrupt the main control system if the spreader motion excesses the permissible limit. It also can be used to assist in analyzing the spreader motion incident through video recording.