Ishan is based out of Delhi & has studied ME-Mechanical Engineering, BE BTech-Bachelor of Engineering or Technology from Year 2010-2014 in PTU-Punjab Technical University , Punjab Technical University.
Ishan Pathania is Skilled in Unix, PHP, Mechanical Engineering and other talents.
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Ishan is based out of Delhi & has studied ME-Mechanical Engineering, BE BTech-Bachelor of Engineering or Technology from Year 2010-2014 in PTU-Punjab Technical University , Punjab Technical University.
Ishan Pathania is Skilled in Unix, PHP, Mechanical Engineering and other talents.
Ishan was responsible for overall management, design and the appearance of defects inspection plays a vital role in bearing quality control. Human inspection is a traditional way to remove defective bearings, which is instable and time consuming. In this paper, we develop a machine vision system for bearing defect inspection, which can inspect various types of defects on bearing covers, such as deformations, rusts, scratches and so on. The proposed system designs a novel image acquisition system to enhance the defects appearances and get controlled image acquisition environment. A series of image processing methods are proposed or utilized to inspect the defects. Especially, for the deformation defects on seal, we find a common rule on the distribution of projection, and design a simple but effective inspection algorithm based on the rule. The proposed system is evaluated and compared with skilled human by the recall, precision and F-measure. Experimental results show that the propose
the projects which were given to me have successfully completed with great hard work and efforts with my team mates.