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- W1941279652 abstract "This chapter describes some of the applications of smart vision, such as the inspection of car engine seals, the inspection of wood boards, and texture classification. Car engine seals can be produced at a rate of one per second or even faster. At these speeds, 100% manual inspection is not possible. However, it is very important to have all seals inspected, particularly when selling to the manufacturers of high quality cars. The chapter also explains in deatail the important processes in car engine seal inspection using smart vision like system set-up, inspection process, and subsequent work. The production of veneer boards involves bonding together thin sheets of wood. Normally, the grading of these sheets is carried out to insure that only high quality sheets are used to make high quality boards. However, two problems can occur with manual grading, which are called downgrading and upgrading. To overcome these problems, an automated inspection system for birch wood veneer boards was designed for the Finnish wood industry as a part of a European Union research project. This chapter expalins the system set-up, inspection process, and subsequent work related to wood board inspection. For textiles, a key property is their texture. One of the most common applications of texture classification in AVI is in finding defects. The classification using first-order features and second-order features are explained here. Recent research into the textural image classification has employed wavelets and lacunarity." @default.
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- W1941279652 date "2003-01-01" @default.
- W1941279652 modified "2023-10-15" @default.
- W1941279652 title "Smart Vision Applications" @default.
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- W1941279652 doi "https://doi.org/10.1016/b978-012554157-2/50006-7" @default.
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