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upport vector machine approach to real-time inspection of iscuits on moving conveyor belt
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nashata Abdullahb, A. Aramvithc, S. Abdullaha, Moheeb |
| Copyright Year | 2010 |
| Abstract | An intelligent system for colour inspection of biscuit products is proposed. In this system, the state-ofthe-art classification techniques based on Support Vector Machines (SVM) and Wilk’s analysis were used to classify biscuits into one of four distinct groups: under-baked, moderately baked, over-baked, and substantially over-baked. The accuracy of the system was compared with standard discriminant analysis using both direct and multi-step classifications. It was discovered that the radial basis SVM after Wilk’s was more precise in classification compared to other classifiers. Real-time implementation was achieved by means of multi-core processor with advanced multiple-buffering and multithreading |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ftsm.ukm.my/azizi/publications/Support%20vector%20machine%20approach%20to%20real-time%20inspection%20of%20biscuits%20on%20moving%20conveyor%20belt.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
