Abstract
Oil spill at workplace is one of the potential hazards in industry. Though it has not attracted more importance from research point of view, it can lead to economic loss for the industry through the occurrence of accident phenomena like slipping, firing, or pollution to the environment. Hence, oil spill detection should be considered as an essential research issue. In order to address this, the present study endeavors to use image processing technique for oil spill detection using the image data retrieved from an integrated steel plant in India. Results reveal that the technique adopted for oil spill detection is an effective and efficient way. This method, though used in steel plant, can be used in any other industry like construction, manufacturing.
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Pramanik, A., Sarkar, S., Maiti, J. (2019). Oil Spill Detection Using Image Processing Technique: An Occupational Safety Perspective of a Steel Plant. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_21
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DOI: https://doi.org/10.1007/978-981-13-1501-5_21
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