Guidance and Visualization of Optimized Packing Solutions

Abstract

Packing optimization is a challenging and time-consuming task for a number of industry and logistics applications. Efficient packing can reduce the cost of storage and shipping and also guarantee that damage will not occur during shipping. To help address this problem, we propose a spatial augmented reality-based support system for assisting workers with packing optimization. Our packing support system first uses an RGB-D camera to acquire color and depth information of the items to be packed and the destination container. Then, object segmentation and dimension estimation are simultaneously carried out, and the position and orientation of packing items inside the container are calculated using a bin-packing algorithm. Finally, the optimized packing instructions are projected onto the user's work area. We then developed and tested two user interfaces (UI) for visualizing instructions called Rotation and Object Movement. Experimental results showed that both methods help reduce packing time up to 57.89% in Rotation and 55.63% in Object Movement, compared to a non-UI method.

Smart Pack: Online Autonomous Object-Packing System Using RGB-D Sensor Data

“…The former means picking one of the items randomly arranged within a container, and it has been tried to be automated in various directions with deep learning including the recent Amazon robotic challenge outcomes [ 1 , 2 , 3 ]. The latter implies placing the picked up item in the most suitable position in another container, and mostly it has been implemented in a theoretical way or in a hybrid form with human collaboration [ 4 , 5 ].…”