Abstract
Mercury thermometer is widely used in industrials. The correctness of the temperature indicated by the mercury thermometer is important to the industrial measurement and control. Using machine vision techniques, the automated inspection techniques of mercury thermometer were studied. According to the basic principle and working process, the selection of lens, imaging sensor, lighting source and algorithms were presented. An experiment system was developed and the on-site experiments at 0 °C and 100 °C were finished. The experiment results show that this inspection technique can achieve total automated measurement and it offers high precision and efficiency, which shows the potential applications in industrials.
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© 2009 Springer-Verlag Berlin Heidelberg
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Xiang, Y., Jiang, Yq., Wu, Y., Li, B. (2009). Automated Reading System on Thermometer by Machine Vision. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_25
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DOI: https://doi.org/10.1007/978-3-642-03664-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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