Suhadilla, Zainal (2010) Vision System Based Rust (Reject) Detection. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Abstract
The Vision System Based Rust (reject) Detection Machine project is to develop a system that can identify the availability of rust on a certain product using vision based system. The main function of this product is to detect the product with rust. This project is focusing in color image processing that developed using Matlab software. The software will process the picture that has been captured by webcam which is a vision system. In the color image processing process, the software will able to classify and compared each color in the picture of can that has been captured and determined whether the can rejected or acceptable. For example, this system used in a industry at a production line and camera will be situated at four edge of can to capture can image. Then this image will be process through Matlab according to coding that has been designed.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Image processing -- Digital techniques, Computer vision, Image analysis |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Library > Final Year Project > FKEKK |
| Depositing User: | Users 136 not found. |
| Date Deposited: | 28 Aug 2012 00:56 |
| Last Modified: | 28 May 2015 03:34 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/5470 |
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