Title :
Research on Intelligent Sorting System Based on Machine Vision
Author :
Zhi-Ying, Yao ; Yue, Wu ; Wang Cheng-lin
Author_Institution :
Key Lab. of Logistics Syst. & Technol., Beijing Inst. of Mater., Beijing, China
Abstract :
Material sorting system is an important tache in the production logistics and material distribution center, the ability and the speed of sorting system concern the running efficiency of the production logistics and material distribution directly. For the drawbacks of the existing sorting system which only depends on the bar code information, the new intelligent sorting system based on machine vision is purposed and designed in the paper. After getting the original data of material arrived from image collection equipment, the eigenvector used to recognise the material is arrived with all kinds of measurement algorithm. The consistency analysis of the material is realized with intelligent recognition algorithm, which provides the decision-making to the intelligent sorting system.
Keywords :
bar codes; computer vision; decision making; eigenvalues and eigenfunctions; image recognition; logistics; materials handling; bar code information; decision making; eigenvector; image collection equipment; intelligent recognition algorithm; intelligent sorting system; machine vision; material distribution center; material sorting system; production logistics; Artificial intelligence; Cameras; Computer vision; Intelligent systems; Logistics; Machine intelligence; Machine vision; Production; Radiofrequency identification; Sorting; Image Processing; Intelligent Sorting System; Machine Vision; Pattern Recognition;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.118