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Naslov:Spatial position recognition method of semi-transparent and flexible workpieces : a machine vision based on red light assisted
Avtorji:ID Bi, Q. L. (Avtor)
ID Lai, M. L. (Avtor)
ID Chen, K. (Avtor)
ID Liu, J. M. (Avtor)
ID Tang, H. L. (Avtor)
ID Teng, X. B. (Avtor)
ID Guo, Y. Y. (Avtor)
Datoteke:.pdf APEM18-1_049-065.pdf (2,04 MB)
MD5: 6AE934A8835FE03D7872739D1B3D2A2E
 
URL https://apem-journal.org/Archives/2023/Abstract-APEM18-1_049-065.html
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:In the automatic sorting process, overlapping translucent and flexible workpieces on the conveyor belt, blurring the imaging edge features of translucent and flexible workpieces is a challenge to locate the upper and lower workpieces spatially, we propose a method for locating translucent and flexible workpieces spatially under the overlapping environment in conjunction with the most common automatic sorting of translucent and flexible workpieces such as infusion tube drip buckets. Firstly, we propose a rectangular surface light source based on 650 nm band and monocular CCD for imaging translucent workpieces such as infusion tube drip buckets and optimize the imaging parameters. Secondly, we study a feature matching recognition algorithm for flexible workpieces that are prone to deformation, construct a mapping relationship between the position of overlapping layers and imaging quality of translucent and flexible workpieces such as infusion tube drip buckets based on clarity and information entropy, and establish The mapping relationship between the position of the overlapping layers and the imaging quality of translucent and flexible workpieces such as infusion tube drip buckets is constructed based on clarity and information entropy, and a local spatial coordinate conversion model is established. Finally, the spatial positioning coordinates of overlapping and non-overlapping translucent and flexible workpieces in the local coordinate system are identified, and the results show that the imaging method and theory can be effectively applied to the identification of overlapping and spatial positioning coordinates in the automatic sorting of translucent workpieces such as infusion tube drip buckets.
Ključne besede:machine vision, image processing, visual recognition, feature matching, imaging quality, red light, translucent and flexible workpieces, infusion tube drip bucket, smart manufacturing
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:14.03.2023
Datum sprejetja članka:15.04.2023
Datum objave:29.04.2023
Založnik:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Leto izida:2023
Št. strani:str. 49-65
Številčenje:Vol. 18, no. 1
PID:20.500.12556/DKUM-97025 Novo okno
UDK:658.5
COBISS.SI-ID:268028163 Novo okno
DOI:10.14743/apem2023.1.456 Novo okno
ISSN pri članku:1854-6250
Avtorske pravice:Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Datum objave v DKUM:12.02.2026
Število ogledov:126
Število prenosov:1
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Gradivo je financirano iz projekta

Financer:Natural Science Foundation of Guangdong Province
Številka projekta:2016A030310309; 2019A1515010961

Financer:Guangdong Science and Technology Department
Številka projekta:2017A010102009; 2017B010118004

Financer:Science and Technology Project of Guangzhou Maritime University
Številka projekta:G410203

Financer:Science and Technology Project of Guangzhou
Številka projekta:201707010187; 201804010354; PDJH2019a0367; PDJH2019b0371

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:strojni vid, procesiranje slik, pametna proizvodnja


Zbirka

To gradivo je del naslednjih zbirk del:
  1. Advances in production engineering & management

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