Abstract
In our market, most of the products are available in jars or bottles. So in view of maintaining proper specification of a particular bottle, the same should be properly investigated. The proposed bottle inspection has been concentrated through an artificial intelligent (AI) model and the performance of the said also evaluated. For this analysis, about 5000 bottle models are taken and their different properties have been considered for meeting large information to and from a data set, out of which they are categorized into two classes like defect-free and defective bottles. For analysis, an artificial intelligent scheme has been followed along with vision builder simulation tool which is carried out with a core i3 processor.
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Sahoo, S.K., Mahesh Sharma, M., Choudhury, B.B. (2019). A Dynamic Bottle Inspection Structure. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_77
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DOI: https://doi.org/10.1007/978-981-10-8055-5_77
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