Abstract
The demand in manufacturing industries productivity with high product quality is important. Nowadays, NC, CNC, and automated machine shops are playing vital role for higher productivity. Similarly, the quality inspection of the product also needed higher productivity. For the reason, there are lots of inspection methods such as direct and indirect measurement techniques which are used in measurement of products. In that machine vision is one of the newer techniques, which is used to measure the products with the aid of CCD camera and image processing techniques such as image acquisition, denoising with filters, comparison of real image and actual image, mapping of image, and image processing algorithm. In this chapter, the two important measurement techniques were discussed: firstly tool wear measurement and secondly surface finish measurement. Finally, this chapter proposes the machine vision technique that is best suitable to measure the tool wear and surface finish in automated manufacturing industries.
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Suresh Kumar, B., Vijayan, V., Paulo Davim, J. (2019). Machine Vision in Measurement. In: Davim, J. (eds) Measurement in Machining and Tribology. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-030-03822-9_4
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DOI: https://doi.org/10.1007/978-3-030-03822-9_4
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