Object Sorting Mechanism In Manufacturing Industry By Using Computer Vision

Authors(2) :-Prof. A. A. Bagade, Rohan K. Ingale

Various product outputs are the main cause of a poor quality and difficulty to the manufacturer. Inspection process is done on these are mostly non-automatic and very time consuming. To reduce error on identifying various product defects requires more automatic and accurate inspection process. By considering these defects, the research improve a various product defect recognizer, which uses computer vision for the defect detection. The recognizer identifies the various product defects within economical cost. In this firstly, the camera capture the digital images by image acquisition device and converts the image to binary image by local threshold techniques. Later, the outputs of the processed image are the area of the faulty portion and compute the possible defective and non –defective product as an output.

Authors and Affiliations

Prof. A. A. Bagade
Mechanical Engineering, DYPSOEA, Pune, Maharastra, India
Rohan K. Ingale
Mechanical Engineering, DYPSOEA, Pune, Maharastra, India

Object Sorting Mechanism, Computer Vision, Quality Management, Digital Image Processing Techniques, Image Segmentation, Non Smooth Corner Detection

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 412-419
Manuscript Number : CSEIT172376
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. A. A. Bagade, Rohan K. Ingale, "Object Sorting Mechanism In Manufacturing Industry By Using Computer Vision", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.412-419, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT172376

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