Imaging and Programming Based Computation of Logistic Package Volumes Application on Automatic Mail Machines

  • Adhy Prayitno Department of Mechanical Engineering, Faculty of Engineering, Universitas Riau, Indonesia
  • Minarni Shiddiq Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Riau, Indonesia
  • Dodi Sofyan Arief Department of Mechanical Engineering, Faculty of Engineering, Universitas Riau, Indonesia
  • Midriem Mirdanies Research Center for Electrical Power and Mechatronics, LIPI
  • Dyna Ayunita Department of Mechanical Engineering, Faculty of Engineering, Universitas Riau, Indonesia
DOI: http://dx.doi.org/10.36842/jomase.v62i1.150
Abstract views: 0 ,   PDF downloads: 0
 

Abstract

At  present  the  determination  of  weight  and  volume  has  been widely  used  to  assist  in  the  process  of  determining  costs  for freight forwarding services. Shipping costs are determined by the weight of the goods, but the weight of the goods consists of two types,  namely  actual  weight  and  volume  weight.  The  weight  of the weighing will be used directly if the item or box is small, but if  the  item  is  large  but  the  weight  is  real  then  the  weight  of  the volume  will be used. Algorithms that combine triangulation and 2D measurement techniques can be used to build 3D surfaces so they  can  measure  the  volume  of  a  product.  Determination  of volume in the optical scoring system can be done using the laser triangulation method and the area of 2D image measurement, then using  a  computer  algorithm  to  get  the  results  of  3D  images  to determine the volume of the object. The calculation process used in  this  study  uses  MATLAB  software.  MATLAB  is  the  most efficient software for  matrix-based numerical calculations and is widely  used  in  mathematical  calculations,  development  and algorithms,  programming  modeling,  prototyping  and  simulation, data  analysis,  exploration  and  visualization,  numerical  and statistical  analysis,  and  technical  application  development.  The results  of  the  study  using  MATLAB  include  students  becoming more  interested  in  learning  and  more  independent  in  learning mathematics,  can  visualize  data  graphically  to  help  analyze  the data  analyzed,  and  help  in  modeling  the  characteristics  of variations  in  fuel  mixtures  which  include  density,  viscosity, dynamic and kinematic viscosity. 

##Keywords:## Camera, imaging, triangulation method, volume, MATLAB.

Downloads

Download data is not yet available.
Published
Dec 30, 2018
How to Cite
PRAYITNO, Adhy et al. Imaging and Programming Based Computation of Logistic Package Volumes Application on Automatic Mail Machines. Journal of Ocean, Mechanical and Aerospace -science and engineering-, [S.l.], v. 62, n. 1, p. 1-4, dec. 2018. ISSN 2527-6085. Available at: <https://isomase.org/Journals/index.php/jomase/article/view/150>. Date accessed: 09 aug. 2026. doi: http://dx.doi.org/10.36842/jomase.v62i1.150.
Citation Formats
Issue
Vol 62 No 1 (2018): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Section
Articles
License

References

1. Ashok, W.R., M. S panse,and H. Apte. 2015. Laser Triangulation Based Object Heigh Measurement. International Journal for Research in Emerging Science and Technology, Vol.2:1 November 23, 2015.
2. Callen D., 2017. Configuring a 3D Triangulation Vision System. Industrial Photonics Jul 2017.
3. Mukhlis, 2017. Pembelajaran Model Inquiri Terbimbing Pada Materi Besaran dan Satuan Untuk Meningkatkan Keterampilan Generik sains dan Hasil Belajar Mahasiswa. Fakultas Tarbiyah dan Keguruan UIN Ar-Raniry, Banda Aceh. Vol.5, No.1, 2017.
4. Mulyawan, Hendy, M Zen Hadi Samsono, dan Setiawardhana, 2011. Identifikasi dan Tracking Objek Berbasis Image Processing Secara Real Time. Jurusan Telekomunikasi Institut Teknologi Sepuluh Novenber (ITS), Surabaya.
5. Rachmawati, Risanuri Hidayat, dan Sunu Wibirama, 2012. Rekonstruksi Obyek Tiga Dimensi Dari Citra Dua Dimensi Menggunakan Epipolar Geometry. Jurusan Teknik Elektro Universitas Gajah Mada Yogyakarta, Vol.5, No.2 Desember 2012.
6. Syahbana, Ali, 2013. Alternatif Pemahaman Konsep Umum Volume Suatu Bangun Ruang. Program Studi Pendidikan Matematika Universitas PGRI Palembang,Vol.3, No.2 Oktober 2013.
7. Sony, 2011. Advantage of the CMOS sensor. IP video monitoring system-technical documentation.
8. Utama, Jana, 2011. Akuisi Citra Digital Menggunakan Pemrograman MATLAB. Teknik Elektro UNIKOM, Vol.9, No.1.
9. Warasih H, Lasti, 2007. Perancangan Mobile Robot Dengan Sensor Kamera Menggunakan Sistem Kendali Fuzzy. Skripsi Teknik Elektro Universitas Indonesia, Depok.
10. AOMC-stepperonline.com (accessed on August 28, 2018).
11. Chairuddin. I, Eka M. 2016.Strategi bisnis PT.POS Indinesia. Jurnal Manajemen Bisnis Transportasi Dan Logistik. 2.(1):343-325.
12. Arief D S, Fitra E, Minarni, Herman, Salambue R. 2018.Modeling of Control System on Sorting Palm Fruit Machine by Using Arduino Microcontroller. Journal of Ocean, Mechanical and Aerospace-Science and Engineering-, Vol.52 February 30, 2018.
13. A. Hamzah,Arief, D S., G.L. Sihombing, and Andri. 2017.Automatic Control System Design of the Threshing Station Model, Case Study in PT. Perkebunan Nusantara V -PKS Sei Galuh. Journal of Ocean, Mechanical and Aerospace-Science and Engineering-, Vol.45 July 30, 2017.
14. Cognex. 2016. Introductionto Machine Vision. Company booklet. USA www.cognex.com.
15. Prawoto, Ihsan. July2015. Pengetian ArduinoUNO Mikrokontroller ATMega328.http://www.caratekno.com/2015/07/pengertianarduino-uno-krokontroler. html. (accessed on August 28, 2018).
16. Susa’at, S. 2015. Pengaturan Arah Putaran Motor Stepper DC Menggunakan Mikrokontroler 8535. Widyaiswara MadyaP4TK BOE/VEDC, Malang.
17. Chen. F., Brown G.M., Song M. 2000. Overview of three-dimensional shape measurement using optical methods. Opt. Eng. 39:10–22.