Abstract
We are currently seeing an increasing interest in using machine learning and image recognition methods to support routine human-made processes in various application domains. In the paper, the results of the conducted research on supporting the sewage network inspection process with the use of machine learning on embedded devices are presented. We analyze several image recognition algorithms on real-world data, and then we discuss the possibility of running these methods on embedded hardware accelerators.
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Notes
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For example, the Polish standard PNEN13508 or the American NASSCO PACP-6.
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Acknowledgment
The research presented in this paper was partially supported by the funds assigned to AGH University of Science and Technology by the Polish Ministry of Science and Higher Education.
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Klusek, M., Szydlo, T. (2021). Supporting the Process of Sewer Pipes Inspection Using Machine Learning on Embedded Devices. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12747. Springer, Cham. https://doi.org/10.1007/978-3-030-77980-1_27
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