Utilization of Depth Camera and Augmented Reality for Efficient 3D Box Packing and Loading Operation

Abstract

Packing and loading operations are very frequent and important activities in logistic services. Not only that, the data input process is also another challenge to overcome for efficient loading. Such input data is used in the planning of packing and loading operation when several objects are packaged into a larger box. Currently, companies utilize certain software package to generate the solution. However, they consumed a lot of time in preparing and inserting the data. Furthermore, even if the software has generated the optimized solution, the delivery and representation of the solution may cause another difficulty for workers at the loading field to understand the paper-based solution blueprint.

This research proposes a new approach to solve both data collection and solution representation problem occurred in the current situation. Real-time approach has been proposed by utilizing depth camera and Augmented Reality (AR) technology in the system. The new approach leverages a wide possibility in developing the system into smart agent that is able to pack and load the boxes automatically into the container.