Bajwa, Nadia Riaz <br/><br/>
Machine Vision Based Automatic Quality Inspection System for Connecting-rod  / 
Nadia Riaz Bajwa 
 - 74p.  Soft Copy  30cm 
<br/><br/> This research deals with attempting to study, analyse, design, implement and testing of automatic<br/>machine vision-based system for quality control of engine Connecting-rod. The connecting-rod or<br/>conrod links the piston, which is a part of reciprocating engine, to the crankshaft. In combination<br/>with crankshaft, connecting-rods convert up and down motion of piston into rotating motion. In<br/>industries, large number of connecting rods with different diameters are being manufactured for<br/>various engines. Usually parameters of conrod such as large bore diameter are measured manually<br/>by using different gages. In this method, human mistakes contributes to for inaccurate diameter<br/>measurement. As automatic quality inspection system for connecting-rod is proposed to estimate<br/>its large bore diameter and small bore diameter of different sizes using machine vision. In order<br/>to measure the parameters of connecting-rod, both methods Circular Hough transform and<br/>Histogram Based Edge Detection have been implemented and compared. However satisfactory<br/>results have been achieved with Histogram Based Edge Detection. The proposed algorithm<br/>provides accuracy, efficiency and it is also cost-effective as compared to existing manual<br/>inspection system. 
<br/><br/><label>Subjects--Topical Terms: </label><br/> MS Robotics and Intelligent Machine Engineering   
<br/><br/><label>Dewey Class. No.: </label>629.8