Object Sorting Mechanism by Using Computer Vision

Authors(2) :-Harshavardhan Bharat Taktode , Prof. A. A. Bagade

Bearing and Gear 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 bearing and gear defects requires more automatic and accurate inspection process. By considering these defects, the research improve a bearing and gear defect recognizer, which uses computer vision for the defect detection. The recognizer identifies the bearing and gear 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 bearing and gear as an output.

Authors and Affiliations

Harshavardhan Bharat Taktode
Mechanical Engineering, DYPSOEA, Pune, Maharastra, India
Prof. A. A. Bagade
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 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 524-531
Manuscript Number : CSEIT1722140
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Harshavardhan Bharat Taktode , Prof. A. A. Bagade, "Object Sorting Mechanism by Using Computer Vision ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.524-531, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722140

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