实时列车计数及数字识别算法

2022 International Workshop on Intelligent Systems (IWIS) Pub Date : 2022-08-17 DOI:10.1109/IWIS56333.2022.9920835

A. Vavilin, A. Lomov, Titkov Roman

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引用次数: 0

摘要

在这项工作中，我们提出了一种有效的解决方案，用于计算火车车厢并使用深度学习计算机视觉模型识别它们的数量。该方法具有成本低、易于使用等优点，是射频识别(RFID)方法的一个很好的替代方案。我们的系统在真实场景中显示出99%的准确率，包括损坏的车号和夜间射击条件。同时，该方法能够在不需要gpu加速的情况下实时处理视频流。

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Real-time Train Wagon Counting and Number Recognition Algorithm

In this work we present an efficient solution for counting train wagons and recognizing their numbers using deep learning computer vision models. The proposed method is a good alternative for radio-frequency identification (RFID) method in terms of low cost and ease of use. Our system shows 99% accuracy in real-world scenarios, including corrupted wagon numbers and night shooting conditions. At the same time, the proposed method is capable to process video-stream in real-time speed without GPU-acceleration.

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来源期刊

2022 International Workshop on Intelligent Systems (IWIS)

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