Machine Vision Based Automatic Quality Inspection System for Connecting-rod / (Record no. 607310)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01825nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bajwa, Nadia Riaz |
| 245 ## - TITLE STATEMENT | |
| Title | Machine Vision Based Automatic Quality Inspection System for Connecting-rod / |
| Statement of responsibility, etc. | Nadia Riaz Bajwa |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 74p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Robotics and Intelligent Machine Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Syed Irtiza Ali Shah |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/35547">http://10.250.8.41:8080/xmlui/handle/123456789/35547</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 12/12/2023 | 629.8 | SMME-TH-889 | Thesis |