Three-dimensional object measurement model image processing system based to calculate logistics cargo rates

• Main Authors: Yogaswara, Y., Hardel, H. W.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Cargo capacity; Image processing; Measuring instruments; Object measurement; Three dimensional models; Transportation services
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0105047

Lack of use of modern technology in the operational processes of conventional land transportation service industry companies for the process of determining logistic cargo rates based on volumetric weight. This has resulted in unclear volume measuring instruments, resulting in losses between the consumer and the service provider on the weight of the cargo to be paid. Algorithm designs and image processing programs to calculate volume and classify 3-dimensional objects are used to solve these problems. Algorithm design consists of input, process, and output. The input consists of the shooting distance and the projected image from the front and side of the object. The process consists of image processing in which there is an active contour method, measuring object dimensions, grouping 3-dimensional object shapes using the circularity algorithm, and measuring the volume of 3-dimensional objects that are processed using MATLAB. The resulting test error average value of each experimental object is below 5% with the percentage standard deviation value below 2% with various measurement distances. The results of this algorithm design are expected to be applied to technologies that are affordable, efficient, economical, and easy to use with high mobility tools.