ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.128
Implementation of Luggage Measurement System Based on Binocular Camera
Abstract— The rapid development of civil aviation has caused a surge in the air consignment business.
Effective use of luggage-related information will significantly improve the efficiency of packaging, sorting,
and transporting. Previous studies related to measurement have paid more attention to the accuracy of the
results, but little research has been done on how to quickly obtain the measurement results. We propose a
vision measurement system for luggage based on binocular structured light cameras to obtain scene data to
measure the luggage. The scene data is preprocessed into point cloud data, and the point cloud processing
method is used to obtain the necessary three-dimensional information. Then the point cloud is projected,
compressed into an image, and other information is extracted by image processing methods, which
significantly reduces the amount of calculation. Sufficient experiments show that the system can retrieve
luggage-related information effectively and stably.
Index Terms— 3D point cloud, measurement system, computer vision, luggage.
DuanLing Li
School of Automation, Beijing University of Posts and Telecommunications, China
YuFeng Xia
School of Automation, Beijing University of Posts and Telecommunications, China
Longjie Fang
School of Automation, Beijing University of Posts and Telecommunications, China
Lixing Liang
School of Automation, Beijing University of Posts and Telecommunications, China
Kaijie Dong
School of Automation, Beijing University of Posts and Telecommunications, China
Zhaofeng He
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China
Cite: Duanling Li, Yufeng Xia, Longjie Fan, Lixing Liang, Kaijie Dong, Zhaofeng He, " Implementation of Luggage Measurement System Based on Binocular Camera, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 1098-1105, Sanya, China, April 15-18, 2022.