Abstract
The problem of implementation of a real-time neural network thermal imaging recognition system, built on widely available components, and allowing placement on a small-sized carrier, is considered. The main criteria for choosing hardware and software parts were the data processing speed and high accuracy of the classification of the detected ground objects.
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Maltsev, A., Nekleenov, A., Otkupman, D., Ostashenkova, V. (2021). A Study of the Feasibility of Creating of a Real-Time Neural Network Infrared Ground Objects Recognition System. In: Kovalev, S.M., Kuznetsov, S.O., Panov, A.I. (eds) Artificial Intelligence. RCAI 2021. Lecture Notes in Computer Science(), vol 12948. Springer, Cham. https://doi.org/10.1007/978-3-030-86855-0_24
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