Skip to Main content Skip to Navigation
Conference papers

Product Quality Inspection Combining with Structure Light System, Data Mining and RFID Technology

Abstract : 3D vision inspection has been rapidly developed and increasingly applied in product quality inspection. Structure Light System (SLS) is one of these technologies with good performance and lower cost. To achieve the automated quality inspection, a decision support system is required to provide with the SLS together to automatically perform the quality check. However, for extracting quality information, the quality inspection system has to be combined together with a data logging system, so that the quality information of the product is available for production query and quality checking. In this paper, Radio Frequency Identification (RFID) technique is used to accomplish the production tracing and tracking together with the quality inspection system. By assigning a RFID tag to each inspected part, it is possible to identify the type of the product and write the quality inspection result decided by the data mining classifier for the real-time quality query. The proposed approach will be an alternative for SMEs considering the fast product type update with respect to the fast changing market.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01485816
Contributor : Hal Ifip <>
Submitted on : Thursday, March 9, 2017 - 2:24:41 PM
Last modification on : Tuesday, February 23, 2021 - 7:24:06 PM
Long-term archiving on: : Saturday, June 10, 2017 - 2:42:33 PM

File

978-3-642-41329-2_22_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Kesheng Wang, Quan Yu. Product Quality Inspection Combining with Structure Light System, Data Mining and RFID Technology. 6th Programming Languages for Manufacturing (PROLAMAT), Oct 2013, Dresden, Germany. pp.205-220, ⟨10.1007/978-3-642-41329-2_22⟩. ⟨hal-01485816⟩

Share

Metrics

Record views

256

Files downloads

390