This article presents a solution to volume measurement object packing using 3D cameras (such as the Microsoft Kinect^TM). We target application scenarios, such as warehouses or distribution and logistics companies, where it is important to promptly compute package volumes, yet high accuracy is not pivotal. Our application auto- matically detects cuboid objects using the depth camera data and computes their volume and sorting it allowing space optimization. The proposed methodology applies to a point cloud simple computer vision and image processing methods, as connected components, morphological operations and Harris corner detector, producing encouraging results, namely an accuracy in volume measurement of 8mm. Aspects that can be further improved are identified; nevertheless, the current solution is already promising turning out to be cost effective for the envisaged scenarios.

Date Published: 6 March 2014
PDF: 6 pages
Proc. SPIE 9013, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014, 901304 (6 March 2014); doi: 10.1117/12.2036493

Published in SPIE Proceedings Vol. 9013:
Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014
Atilla M. Baskurt; Robert Sitnik, Editor(s)